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1. Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

Author: Naghavi, M, Ong, KL, Aali, A, Ababneh, HS, Abate, YH, Abbafati, C, Abbasgholizadeh, R, Abbasian, M, Abbasi-Kangevari, M, Abbastabar, H, Abd ElHafeez, S, Abdelmasseh, M, Abd-Elsalam, S, Abdelwahab, A, Abdollahi, M, Abdollahifar, M-A, Abdoun, M, Abdulah, DM, Abdullahi, A, Abebe, M, Abebe, SS, Abedi, A, Abegaz, KH, Abhilash, ES, Abidi, H, Abiodun, O, Aboagye, RG, Abolhassani, H, Abolmaali, M, Abouzid, M, Aboye, GB, Abreu, LG, Abrha, WA, Abtahi, D, Abu Rumeileh, S, Abualruz, H, Abubakar, B, Abu-Gharbieh, E, Abu-Rmeileh, NME, Aburuz, S, Abu-Zaid, A, Accrombessi, MMK, Adal, TG, Adamu, AA, Addo, IY, Addolorato, G, Adebiyi, AO, Adekanmbi, V, Adepoju, AV, Adetunji, CO, Adetunji, JB, Adeyeoluwa, TE, Adeyinka, DA, Adeyomoye, OI, Admass, BAA, Adnani, QES, Adra, S, Afolabi, AA, Afzal, MS, Afzal, S, Agampodi, SB, Agasthi, P, Aggarwal, M, Aghamiri, S, Agide, FD, Agodi, A, Agrawal, A, Agyemang-Duah, W, Ahinkorah, BO, Ahmad, A, Ahmad, D, Ahmad, F, Ahmad, MM, Ahmad, S, Ahmad, T, Ahmadi, K, Ahmadzade, AM, Ahmed, A, Ahmed, H, Ahmed, LA, Ahmed, MS, Ahmed, MB, Ahmed, SA, Ajami, M, Aji, B, Akara, EM, Akbarialiabad, H, Akinosoglou, K, Akinyemiju, T, Akkaif, MA, Akyirem, S, Al Hamad, H, Al Hasan, SM, Alahdab, F, Alalalmeh, SO, Alalwan, TA, Al-Aly, Z, Alam, K, Alam, M, Alam, N, Al-amer, RM, Alanezi, FM, Alanzi, TM, Al-Azzam, S, Albakri, A, Albashtawy, M, AlBataineh, MT, Alcalde-Rabanal, JE, Aldawsari, KA, Aldhaleei, WA, Aldridge, RW, Alema, HB, Alemayohu, MA, Alemi, S, Alemu, YM, Al-Gheethi, AAS, Alhabib, KF, Alhalaiqa, FAN, Al-Hanawi, MK, Ali, A, Ali, L, Ali, MU, Ali, R, Ali, S, Ali, SSS, Alicandro, G, Alif, SM, Alikhani, R, Alimohamadi, Y, Aliyi, AA, Aljasir, MAM, Aljunid, SM, Alla, F, Allebeck, P, Al-Marwani, S, Al-Maweri, SAA, Almazan, JU, Al-Mekhlafi, HM, Almidani, L, Almidani, O, Alomari, MA, Al-Omari, B, Alonso, J, Alqahtani, JS, Alqalyoobi, S, Alqutaibi, AY, Al-Sabah, SK, Altaany, Z, Altaf, A, Al-Tawfiq, JA, Altirkawi, KA, Aluh, DO, Alvis-Guzman, N, Alwafi, H, Al-Worafi, YM, Aly, H, Aly, S, Alzoubi, KH, Amani, R, Amare, AT, Amegbor, PM, Ameyaw, EK, Amin, TT, Amindarolzarbi, A, Amiri, S, Amirzade-Iranaq, MH, Amu, H, Amugsi, DA, Amusa, GA, Ancuceanu, R, Anderlini, D, Anderson, DB, Andrade, PP, Andrei, CL, Andrei, T, Angus, C, Anil, A, Anil, S, Anoushiravani, A, Ansari, H, Ansariadi, A, Ansari-Moghaddam, A, Antony, CM, Antriyandarti, E, Anvari, D, Anvari, S, Anwar, S, Anwar, SL, Anwer, R, Anyasodor, AE, Aqeel, M, Arab, JP, Arabloo, J, Arafat, M, Aravkin, AY, Areda, D, Aremu, A, Aremu, O, Ariffin, H, Arkew, M, Armocida, B, Arndt, MB, Ärnlöv, J, Arooj, M, Artamonov, AA, Arulappan, J, Aruleba, RT, Arumugam, A, Asaad, M, Asadi-Lari, M, Asgedom, AA, Asghariahmadabad, M, Asghari-Jafarabadi, M, Ashraf, M, Aslani, A, Astell-Burt, T, Athar, M, Athari, SS, Atinafu, BTT, Atlaw, HW, Atorkey, P, Atout, MMW, Atreya, A, Aujayeb, A, Ausloos, M, Avan, A, Awedew, AF, Aweke, AM, Ayala Quintanilla, BP, Ayatollahi, H, Ayuso-Mateos, JL, Ayyoubzadeh, SM, Azadnajafabad, S, Azevedo, RMS, Azzam, AY, B, DB, Babu, AS, Badar, M, Badiye, AD, Baghdadi, S, Bagheri, N, Bagherieh, S, Bah, S, Bahadorikhalili, S, Bahmanziari, N, Bai, R, Baig, AA, Baker, JL, Bako, AT, Bakshi, RK, Balakrishnan, S, Balasubramanian, M, Baltatu, OC, Bam, K, Banach, M, Bandyopadhyay, S, Banik, PC, Bansal, H, Bansal, K, Barbic, F, Barchitta, M, Bardhan, M, Bardideh, E, Barker-Collo, SL, Bärnighausen, TW, Barone-Adesi, F, Barqawi, HJ, Barrero, LH, Barrow, A, Barteit, S, Barua, L, Basharat, Z, Bashiri, A, Basiru, A, Baskaran, P, Basnyat, B, Bassat, Q, Basso, JD, Basting, AVL, Basu, S, Batra, K, Baune, BT, Bayati, M, Bayileyegn, NS, Beaney, T, Bedi, N, Beghi, M, Behboudi, E, Behera, P, Behnoush, AH, Behzadifar, M, Beiranvand, M, Bejarano Ramirez, DF, Béjot, Y, Belay, SA, Belete, CM, Bell, ML, Bello, MB, Bello, OO, Belo, L, Beloukas, A, Bender, RG, Bensenor, IM, Beran, A, Berezvai, Z, Berhie, AY, Berice, BN, Bernstein, RS, Bertolacci, GJ, Bettencourt, PJG, Beyene, KA, Bhagat, DS, Bhagavathula, AS, Bhala, N, Bhalla, A, Bhandari, D, Bhangdia, K, Bhardwaj, N, Bhardwaj, P, Bhardwaj, PV, Bhargava, A, Bhaskar, S, Bhat, V, Bhatti, GK, Bhatti, JS, Bhatti, MS, Bhatti, R, Bhutta, ZA, Bikbov, B, Bishai, JD, Bisignano, C, Bisulli, F, Biswas, A, Biswas, B, Bitaraf, S, Bitew, BD, Bitra, VR, Bjørge, T, Boachie, MK, Boampong, MS, Bobirca, AV, Bodolica, V, Bodunrin, AO, Bogale, EK, Bogale, KA, Bohlouli, S, Bolarinwa, OA, Boloor, A, Bonakdar Hashemi, M, Bonny, A, Bora, K, Bora Basara, B, Borhany, H, Borzutzky, A, Bouaoud, S, Boustany, A, Boxe, C, Boyko, EJ, Brady, OJ, Braithwaite, D, Brant, LC, Brauer, M, Brazinova, A, Brazo-Sayavera, J, Breitborde, NJK, Breitner, S, Brenner, H, Briko, AN, Briko, NI, Britton, G, Brown, J, Brugha, T, Bulamu, NB, Bulto, LN, Buonsenso, D, Burns, RA, Busse, R, Bustanji, Y, Butt, NS, Butt, ZA, Caetano dos Santos, FL, Calina, D, Cámera, LA, Campos, LA, Campos-Nonato, IR, Cao, C, Cao, Y, Capodici, A, Cárdenas, R, Carr, S, Carreras, G, Carrero, JJ, Carugno, A, Carvalheiro, CG, Carvalho, F, Carvalho, M, Castaldelli-Maia, JM, Castañeda-Orjuela, CA, Castelpietra, G, Catalá-López, F, Catapano, AL, Cattaruzza, MS, Cederroth, CR, Cegolon, L, Cembranel, F, Cenderadewi, M, Cercy, KM, Cerin, E, Cevik, M, Chadwick, J, Chahine, Y, Chakraborty, C, Chakraborty, PA, Chan, JSK, Chan, RNC, Chandika, RM, Chandrasekar, EK, Chang, C-K, Chang, J-C, Chanie, GS, Charalampous, P, Chattu, VK, Chaturvedi, P, Chatzimavridou-Grigoriadou, V, Chaurasia, A, Chen, AW, Chen, A-T, Chen, CS, Chen, H, Chen, MX, Chen, S, Cheng, C-Y, Cheng, ETW, Cherbuin, N, Cheru, WA, Chien, J-H, Chimed-Ochir, O, Chimoriya, R, Ching, PR, Chirinos-Caceres, JL, Chitheer, A, Cho, WCS, Chong, B, Chopra, H, Choudhari, SG, Chowdhury, R, Christopher, DJ, Chukwu, IS, Chung, E, Chung, S-C, Chutiyami, M, Cindi, Z, Cioffi, I, Claassens, MM, Claro, RM, Coberly, K, Cogen, RM, Columbus, A, Comfort, H, Conde, J, Cortese, S, Cortesi, PA, Costa, VM, Costanzo, S, Cousin, E, Couto, RAS, Cowden, RG, Cramer, KM, Criqui, MH, Cruz-Martins, N, Cuadra-Hernández, SM, Culbreth, GT, Cullen, P, Cunningham, M, Curado, MP, Dadana, S, Dadras, O, Dai, S, Dai, X, Dai, Z, Dalli, LL, Damiani, G, Darega Gela, J, Das, JK, Das, S, Dascalu, AM, Dash, NR, Dashti, M, Dastiridou, A, Davey, G, Dávila-Cervantes, CA, Davis Weaver, N, Davletov, K, De Leo, D, de Luca, K, Debele, AT, Debopadhaya, S, Degenhardt, L, Dehghan, A, Deitesfeld, L, Del Bo', C, Delgado-Enciso, I, Demessa, BH, Demetriades, AK, Deng, K, Deng, X, Denova-Gutiérrez, E, Deravi, N, Dereje, N, Dervenis, N, Dervišević, E, Des Jarlais, DC, Desai, HD, Desai, R, Devanbu, VGC, Dewan, SMR, Dhali, A, Dhama, K, Dhimal, M, Dhingra, S, Dhulipala, VR, Dias da Silva, D, Diaz, D, Diaz, MJ, Dima, A, Ding, DD, Ding, H, Dinis-Oliveira, RJ, Dirac, MA, Djalalinia, S, Do, THP, do Prado, CB, Doaei, S, Dodangeh, M, Dohare, S, Dokova, KG, Dolecek, C, Dominguez, R-MV, Dong, W, Dongarwar, D, D'Oria, M, Dorostkar, F, Dorsey, ER, dos Santos, WM, Doshi, R, Doshmangir, L, Dowou, RK, Driscoll, TR, Dsouza, HL, Dsouza, V, Du, M, Dube, J, Duncan, BB, Duraes, AR, Duraisamy, S, Durojaiye, OC, Dwyer-Lindgren, L, Dzianach, PA, Dziedzic, AM, E'mar, AR, Eboreime, E, Ebrahimi, A, Echieh, CP, Edinur, HA, Edvardsson, D, Edvardsson, K, Efendi, D, Efendi, F, Effendi, DE, Eikemo, TA, Eini, E, Ekholuenetale, M, Ekundayo, TC, El Sayed, I, Elbarazi, I, Elema, TB, Elemam, NM, Elgar, FJ, Elgendy, IY, ElGohary, GMT, Elhabashy, HR, Elhadi, M, El-Huneidi, W, Elilo, LT, Elmeligy, OAA, Elmonem, MA, Elshaer, M, Elsohaby, I, Emeto, TI, Engelbert Bain, L, Erkhembayar, R, Esezobor, CI, Eshrati, B, Eskandarieh, S, Espinosa-Montero, J, Esubalew, H, Etaee, F, Fabin, N, Fadaka, AO, Fagbamigbe, AF, Fahim, A, Fahimi, S, Fakhri-Demeshghieh, A, Falzone, L, Fareed, M, Farinha, CSES, Faris, MEM, Faris, PS, Faro, A, Fasanmi, AO, Fatehizadeh, A, Fattahi, H, Fauk, NK, Fazeli, P, Feigin, VL, Feizkhah, A, Fekadu, G, Feng, X, Fereshtehnejad, S-M, Feroze, AH, Ferrante, D, Ferrari, AJ, Ferreira, N, Fetensa, G, Feyisa, BR, Filip, I, Fischer, F, Flavel, J, Flood, D, Florin, BT, Foigt, NA, Folayan, MO, Fomenkov, AA, Foroutan, B, Foroutan, M, Forthun, I, Fortuna, D, Foschi, M, Fowobaje, KR, Francis, KL, Franklin, RC, Freitas, A, Friedman, J, Friedman, SD, Fukumoto, T, Fuller, JE, Fux, B, Gaal, PA, Gadanya, MA, Gaidhane, AM, Gaihre, S, Gakidou, E, Galali, Y, Galles, NC, Gallus, S, Ganbat, M, Gandhi, AP, Ganesan, B, Ganiyani, MA, Garcia-Gordillo, MA, Gardner, WM, Garg, J, Garg, N, Gautam, RK, Gbadamosi, SO, Gebi, TG, Gebregergis, MW, Gebrehiwot, M, Gebremeskel, TG, Georgescu, SR, Getachew, T, Gething, PW, Getie, M, Ghadiri, K, Ghahramani, S, Ghailan, KY, Ghasemi, M-R, Ghasempour Dabaghi, G, Ghasemzadeh, A, Ghashghaee, A, Ghassemi, F, Ghazy, RM, Ghimire, A, Ghoba, S, Gholamalizadeh, M, Gholamian, A, Gholamrezanezhad, A, Gholizadeh, N, Ghorbani, M, Ghorbani Vajargah, P, Ghoshal, AG, Gill, PS, Gill, TK, Gillum, RF, Ginindza, TG, Girmay, A, Glasbey, JC, Gnedovskaya, EV, Göbölös, L, Godinho, MA, Goel, A, Golchin, A, Goldust, M, Golechha, M, Goleij, P, Gomes, NGM, Gona, PN, Gopalani, SV, Gorini, G, Goudarzi, H, Goulart, AC, Goulart, BNG, Goyal, A, Grada, A, Graham, SM, Grivna, M, Grosso, G, Guan, S-Y, Guarducci, G, Gubari, MIM, Gudeta, MD, Guha, A, Guicciardi, S, Guimarães, RA, Gulati, S, Gunawardane, DA, Gunturu, S, Guo, C, Gupta, AK, Gupta, B, Gupta, MK, Gupta, M, Gupta, RD, Gupta, R, Gupta, S, Gupta, VB, Gupta, VK, Gurmessa, L, Gutiérrez, RA, Habibzadeh, F, Habibzadeh, P, Haddadi, R, Hadei, M, Hadi, NR, Haep, N, Hafezi-Nejad, N, Hailu, A, Haj-Mirzaian, A, Halboub, ES, Hall, BJ, Haller, S, Halwani, R, Hamadeh, RR, Hameed, S, Hamidi, S, Hamilton, EB, Han, C, Han, Q, Hanif, A, Hanifi, N, Hankey, GJ, Hanna, F, Hannan, MA, Haque, MN, Harapan, H, Hargono, A, Haro, JM, Hasaballah, AI, Hasan, I, Hasan, MT, Hasani, H, Hasanian, M, Hashi, A, Hasnain, MS, Hassan, I, Hassanipour, S, Hassankhani, H, Haubold, J, Havmoeller, RJ, Hay, SI, He, J, Hebert, JJ, Hegazi, OE, Heidari, G, Heidari, M, Heidari-Foroozan, M, Helfer, B, Hendrie, D, Herrera-Serna, BY, Herteliu, C, Hesami, H, Hezam, K, Hill, CL, Hiraike, Y, Holla, R, Horita, N, Hossain, MM, Hossain, S, Hosseini, M-S, Hosseinzadeh, H, Hosseinzadeh, M, Hosseinzadeh Adli, A, Hostiuc, M, Hostiuc, S, Hsairi, M, Hsieh, VC-R, Hsu, RL, Hu, C, Huang, J, Hultström, M, Humayun, A, Hundie, TG, Hussain, J, Hussain, MA, Hussein, NR, Hussien, FM, Huynh, H-H, Hwang, B-F, Ibitoye, SE, Ibrahim, KS, Iftikhar, PM, Ijo, D, Ikiroma, AI, Ikuta, KS, Ikwegbue, PC, Ilesanmi, OS, Ilic, IM, Ilic, MD, Imam, MT, Immurana, M, Inamdar, S, Indriasih, E, Iqhrammullah, M, Iradukunda, A, Iregbu, KC, Islam, MR, Islam, SMS, Islami, F, Ismail, F, Ismail, NE, Iso, H, Isola, G, Iwagami, M, Iwu, CCD, Iyamu, IO, Iyer, M, J, LM, Jaafari, J, Jacob, L, Jacobsen, KH, Jadidi-Niaragh, F, Jafarinia, M, Jafarzadeh, A, Jaggi, K, Jahankhani, K, Jahanmehr, N, Jahrami, H, Jain, N, Jairoun, AA, Jaiswal, A, Jamshidi, E, Janko, MM, Jatau, AI, Javadov, S, Javaheri, T, Jayapal, SK, Jayaram, S, Jebai, R, Jee, SH, Jeganathan, J, Jha, AK, Jha, RP, Jiang, H, Jin, Y, Johnson, O, Jokar, M, Jonas, JB, Joo, T, Joseph, A, Joseph, N, Joshua, CE, Joshy, G, Jozwiak, JJ, Jürisson, M, K, V, Kaambwa, B, Kabir, A, Kabir, Z, Kadashetti, V, Kadir, DH, Kalani, R, Kalankesh, LR, Kaliyadan, F, Kalra, S, Kamal, VK, Kamarajah, SK, Kamath, R, Kamiab, Z, Kamyari, N, Kanagasabai, T, Kanchan, T, Kandel, H, Kanmanthareddy, AR, Kanmiki, EW, Kanmodi, KK, Kannan S, S, Kansal, SK, Kantar, RS, Kapoor, N, Karajizadeh, M, Karanth, SD, Karasneh, RA, Karaye, IM, Karch, A, Karim, A, Karimi, SE, Karimi Behnagh, A, Kashoo, FZ, Kasnazani, QHA, Kasraei, H, Kassebaum, NJ, Kassel, MB, Kauppila, JH, Kaur, N, Kawakami, N, Kayode, GA, Kazemi, F, Kazemian, S, Kazmi, TH, Kebebew, GM, Kebede, AD, Kebede, F, Keflie, TS, Keiyoro, PN, Keller, C, Kelly, JT, Kempen, JH, Kerr, JA, Kesse-Guyot, E, Khajuria, H, Khalaji, A, Khalid, N, Khalil, AA, Khalilian, A, Khamesipour, F, Khan, A, Khan, G, Khan, I, Khan, IA, Khan, MN, Khan, M, Khan, MJ, Khan, MAB, Khan, ZA, Khan suheb, MZ, Khanmohammadi, S, Khatab, K, Khatami, F, Khatatbeh, H, Khatatbeh, MM, Khavandegar, A, Khayat Kashani, HR, Khidri, FF, Khodadoust, E, Khorgamphar, M, Khormali, M, Khorrami, Z, Khosravi, A, Khosravi, MA, Kifle, ZD, Kim, G, Kim, J, Kim, K, Kim, MS, Kim, YJ, Kimokoti, RW, Kinzel, KE, Kisa, A, Kisa, S, Klu, D, Knudsen, AKS, Kocarnik, JM, Kochhar, S, Kocsis, T, Koh, DSQ, Kolahi, A-A, Kolves, K, Kompani, F, Koren, G, Kosen, S, Kostev, K, Koul, PA, Koulmane Laxminarayana, SL, Krishan, K, Krishna, H, Krishna, V, Krishnamoorthy, V, Krishnamoorthy, Y, Krohn, KJ, Kuate Defo, B, Kucuk Bicer, B, Kuddus, MA, Kuddus, M, Kuitunen, I, Kulimbet, M, Kulkarni, V, Kumar, A, Kumar, H, Kumar, M, Kumar, R, Kumari, M, Kumie, FT, Kundu, S, Kurmi, OP, Kusnali, A, Kusuma, D, Kwarteng, A, Kyriopoulos, I, Kyu, HH, La Vecchia, C, Lacey, B, Ladan, MA, Laflamme, L, Lagat, AK, Lager, ACJ, Lahmar, A, Lai, DTC, Lal, DK, Lalloo, R, Lallukka, T, Lam, H, Lám, J, Landrum, KR, Lanfranchi, F, Lang, JJ, Langguth, B, Lansingh, VC, Laplante-Lévesque, A, Larijani, B, Larsson, AO, Lasrado, S, Lassi, ZS, Latief, K, Latifinaibin, K, Lauriola, P, Le, NHH, Le, TTT, Le, TDT, Ledda, C, Ledesma, JR, Lee, M, Lee, PH, Lee, SW, Lee, SWH, Lee, W-C, Lee, YH, LeGrand, KE, Leigh, J, Leong, E, Lerango, TL, Li, M-C, Li, W, Li, X, Li, Y, Li, Z, Ligade, VS, Likaka, ATM, Lim, L-L, Lim, SS, Lindstrom, M, Linehan, C, Liu, C, Liu, G, Liu, J, Liu, R, Liu, S, Liu, X, Llanaj, E, Loftus, MJ, López-Bueno, R, Lopukhov, PD, Loreche, AM, Lorkowski, S, Lotufo, PA, Lozano, R, Lubinda, J, Lucchetti, G, Lugo, A, Lunevicius, R, Ma, ZF, Maass, KL, Machairas, N, Machoy, M, Madadizadeh, F, Madsen, C, Madureira-Carvalho, ÁM, Maghazachi, AA, Maharaj, SB, Mahjoub, S, Mahmoud, MA, Mahmoudi, A, Mahmoudi, E, Mahmoudi, R, Majeed, A, Makhdoom, IF, Malakan Rad, E, Maled, V, Malekzadeh, R, Malhotra, AK, Malhotra, K, Malik, AA, Malik, I, Malta, DC, Mamun, AA, Mansouri, P, Mansournia, MA, Mantovani, LG, Maqsood, S, Marasini, BP, Marateb, HR, Maravilla, JC, Marconi, AM, Mardi, P, Marino, M, Marjani, A, Martinez, G, Martinez-Guerra, BA, Martinez-Piedra, R, Martini, D, Martini, S, Martins-Melo, FR, Martorell, M, Marx, W, Maryam, S, Marzo, RR, Masaka, A, Masrie, A, Mathieson, S, Mathioudakis, AG, Mathur, MR, Mattumpuram, J, Matzopoulos, R, Maude, RJ, Maugeri, A, Maulik, PK, Mayeli, M, Mazaheri, M, Mazidi, M, McGrath, JJ, McKee, M, McKowen, ALW, McLaughlin, SA, McPhail, SM, Mechili, EA, Medina, JRC, Mediratta, RP, Meena, JK, Mehra, R, Mehrabani-Zeinabad, K, Mehrabi Nasab, E, Mekene Meto, T, Meles, GG, Mendez-Lopez, MAM, Mendoza, W, Menezes, RG, Mengist, B, Mentis, A-FA, Meo, SA, Meresa, HA, Meretoja, A, Meretoja, TJ, Mersha, AM, Mesfin, BA, Mestrovic, T, Mettananda, KCD, Mettananda, S, Meylakhs, P, Mhlanga, A, Mhlanga, L, Mi, T, Miazgowski, T, Micha, G, Michalek, IM, Miller, TR, Mills, EJ, Minh, LHN, Mini, GK, Mir Mohammad Sadeghi, P, Mirica, A, Mirijello, A, Mirrakhimov, EM, Mirutse, MK, Mirzaei, M, Misganaw, A, Mishra, A, Misra, S, Mitchell, PB, Mithra, P, Mittal, C, Mobayen, M, Moberg, ME, Mohamadkhani, A, Mohamed, J, Mohamed, MFH, Mohamed, NS, Mohammad-Alizadeh-Charandabi, S, Mohammadi, S, Mohammadian-Hafshejani, A, Mohammadifard, N, Mohammed, H, Mohammed, M, Mohammed, S, Mohan, V, Mojiri-Forushani, H, Mokari, A, Mokdad, AH, Molinaro, S, Molokhia, M, Momtazmanesh, S, Monasta, L, Mondello, S, Moni, MA, Moodi Ghalibaf, A, Moradi, M, Moradi, Y, Moradi-Lakeh, M, Moradzadeh, M, Moraga, P, Morawska, L, Moreira, RS, Morovatdar, N, Morrison, SD, Morze, J, Mosser, JF, Motappa, R, Mougin, V, Mouodi, S, Mousavi, P, Mousavi, SE, Mousavi Khaneghah, A, Mpolya, EA, Mrejen, M, Mubarik, S, Muccioli, L, Mueller, UO, Mughal, F, Mukherjee, S, Mulita, F, Munjal, K, Murillo-Zamora, E, Musaigwa, F, Musallam, KM, Mustafa, A, Mustafa, G, Muthupandian, S, Muthusamy, R, Muzaffar, M, Myung, W, Nagarajan, AJ, Nagel, G, Naghavi, P, Naheed, A, Naik, 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Zhu, L, Ziafati, M, Zielińska, M, Zitoun, OA, Zoladl, M, Zou, Z, Zuhlke, LJ, Zumla, A, Zweck, E, Zyoud, SH, Wool, EE, and Murray, CJL
Published: 2024

2. Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

Author: Ferrari, AJ, Santomauro, DF, Aali, A, Abate, YH, Abbafati, C, Abbastabar, H, Abd ElHafeez, S, Abdelmasseh, M, Abd-Elsalam, S, Abdollahi, A, Abdullahi, A, Abegaz, KH, Abeldaño Zuñiga, RA, Aboagye, RG, Abolhassani, H, Abreu, LG, Abualruz, H, Abu-Gharbieh, E, Abu-Rmeileh, NME, Ackerman, IN, Addo, IY, Addolorato, G, Adebiyi, AO, Adepoju, AV, Adewuyi, HO, Afyouni, S, Afzal, S, Agodi, A, Ahmad, A, Ahmad, D, Ahmad, F, Ahmad, S, Ahmed, A, Ahmed, LA, Ahmed, MB, Ajami, M, Akinosoglou, K, Akkaif, MA, Al Hasan, SM, Alalalmeh, SO, Al-Aly, Z, Albashtawy, M, Aldridge, RW, Alemu, MD, Alemu, YM, Alene, KA, Al-Gheethi, AAS, Alharrasi, M, Alhassan, RK, Ali, MU, Ali, R, Ali, SSS, Alif, SM, Aljunid, SM, Al-Marwani, S, Almazan, JU, Alomari, MA, Al-Omari, B, Altaany, Z, Alvis-Guzman, N, Alvis-Zakzuk, NJ, Alwafi, H, Al-Wardat, MS, Al-Worafi, YM, Aly, S, Alzoubi, KH, Amare, AT, Amegbor, PM, Ameyaw, EK, Amin, TT, Amindarolzarbi, A, Amiri, S, Amugsi, DA, Ancuceanu, R, Anderlini, D, Anderson, DB, Andrade, PP, Andrei, CL, Ansari, H, Antony, CM, Anwar, S, Anwar, SL, Anwer, R, Anyanwu, PE, Arab, JP, Arabloo, J, Arafat, M, Araki, DT, Aravkin, AY, Arkew, M, Armocida, B, Arndt, MB, Arooj, M, Artamonov, AA, Aruleba, RT, Arumugam, A, Ashbaugh, C, Ashemo, MY, Ashraf, M, Asika, MO, Askari, E, Astell-Burt, T, Athari, SS, Atorkey, P, Atout, MMW, Atreya, A, Aujayeb, A, Ausloos, M, Avan, A, Awotidebe, AW, Awuviry-Newton, K, Ayala Quintanilla, BP, Ayuso-Mateos, JL, Azadnajafabad, S, Azevedo, RMS, Babu, AS, Badar, M, Badiye, AD, Baghdadi, S, Bagheri, N, Bah, S, Bai, R, Baker, JL, Bakkannavar, SM, Bako, AT, Balakrishnan, S, Bam, K, Banik, PC, Barchitta, M, Bardhan, M, Bardideh, E, Barker-Collo, SL, Barqawi, HJ, Barrow, A, Barteit, S, Barua, L, Bashiri Aliabadi, S, Basiru, A, Basu, S, Bathini, PP, Batra, K, Baune, BT, Bayileyegn, NS, Behnam, B, Behnoush, AH, Beiranvand, M, Bejarano Ramirez, DF, Bell, ML, Bello, OO, Beloukas, A, Bensenor, IM, Berezvai, Z, Bernabe, E, Bernstein, RS, Bettencourt, PJG, Bhagavathula, AS, Bhala, N, Bhandari, D, Bhargava, A, Bhaskar, S, Bhat, V, Bhatti, GK, Bhatti, JS, Bhatti, MS, Bhatti, R, Bhutta, ZA, Bikbov, B, Bishai, JD, Bisignano, C, Bitra, VR, Bjørge, T, Bodolica, V, Bodunrin, AO, Bogale, EK, Bonakdar Hashemi, M, Bonny, A, Bora Basara, B, Borhany, H, Boxe, C, Brady, OJ, Bragazzi, NL, Braithwaite, D, Brant, LC, Brauer, M, Breitner, S, Brenner, H, Brown, J, Brugha, T, Bulamu, NB, Buonsenso, D, Burkart, K, Burns, RA, Busse, R, Bustanji, Y, Butt, ZA, Byun, J, Caetano dos Santos, FL, Calina, D, Cámera, LA, Campos-Nonato, IR, Cao, C, Capodici, A, Carr, S, Carreras, G, Carugno, A, Carvalho, M, Castaldelli-Maia, JM, Castañeda-Orjuela, CA, Castelpietra, G, Catapano, AL, Cattaruzza, MS, Caye, A, Cegolon, L, Cembranel, F, Cenderadewi, M, Cerin, E, Chakraborty, PA, Chan, JSK, Chan, RNC, Chandika, RM, Chandrasekar, EK, Charalampous, P, Chattu, VK, Chatzimavridou-Grigoriadou, V, Chen, AW, Chen, A-T, Chen, CS, Chen, H, Chen, NM, Cheng, ETW, Chimed-Ochir, O, Chimoriya, R, Ching, PR, Cho, WCS, Choi, S, Chong, B, Chong, YY, Choudhari, SG, Chowdhury, R, Christensen, SWM, Chu, D-T, Chukwu, IS, Chung, E, Chutiyami, M, Claassens, MM, Cogen, RM, Columbus, A, Conde, J, Cortesi, PA, Cousin, E, Criqui, MH, Cruz-Martins, N, Dadras, O, Dai, S, Dai, X, Dai, Z, Dalaba, MA, Damiani, G, Das, JK, Das, S, Dashti, M, Dávila-Cervantes, CA, Davletov, K, De Leo, D, Debele, AT, Debopadhaya, S, DeCleene, NK, Deeba, F, Degenhardt, L, Del Bo', C, Delgado-Enciso, I, Demetriades, AK, Denova-Gutiérrez, E, Dervenis, N, Desai, HD, Desai, R, Deuba, K, Dhama, K, Dharmaratne, SD, Dhingra, S, Dias da Silva, D, Diaz, D, Diaz, LA, Diaz, MJ, Dima, A, Ding, DD, Dirac, MA, Do, THP, do Prado, CB, Dohare, S, Dominguez, R-MV, Dong, W, Dongarwar, D, D'Oria, M, Dorsey, ER, Doshmangir, L, Dowou, RK, Driscoll, TR, Dsouza, HL, Dsouza, V, Dube, J, Dumith, SC, Duncan, BB, Duraes, AR, Duraisamy, S, Durojaiye, OC, Dzianach, PA, Dziedzic, AM, Eboreime, E, Ebrahimi, A, Edinur, HA, 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S, Hsu, JM, Huang, J, Hugo, FN, Hushmandi, K, Hussain, J, Hussein, NR, Huynh, CK, Huynh, H-H, Hwang, B-F, Iannucci, VC, Ihler, AL, Ikiroma, AI, Ikuta, KS, Ilesanmi, OS, Ilic, IM, Ilic, MD, Imam, MT, Immurana, M, Irham, LM, Islam, MR, Islam, SMS, Islami, F, Ismail, F, Ismail, NE, Isola, G, Iwagami, M, Iwu, CCD, Iyer, M, Jaafari, J, Jacobsen, KH, Jadidi-Niaragh, F, Jafarinia, M, Jaggi, K, Jahankhani, K, Jahanmehr, N, Jahrami, H, Jain, A, Jain, N, Jairoun, AA, Jaiswal, A, Jakovljevic, M, Jatau, AI, Javadov, S, Javaheri, T, Jayapal, SK, Jayaram, S, Jee, SH, Jeganathan, J, Jeyakumar, A, Jha, AK, Jiang, H, Jin, Y, Jonas, JB, Joo, T, Joseph, A, Joseph, N, Joshua, CE, Jozwiak, JJ, Jürisson, M, K, V, Kaambwa, B, Kabir, A, Kabir, Z, Kadashetti, V, Kalani, R, Kalankesh, LR, Kaliyadan, F, Kalra, S, Kamenov, K, Kamyari, N, Kanagasabai, T, Kandel, H, Kanmanthareddy, AR, Kanmodi, KK, Kantar, RS, Karaye, IM, Karim, A, Karimi, SE, Karimi, Y, Kasraei, H, Kassel, MB, Kauppila, JH, Kawakami, N, Kayode, 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Nguyen, DH, Nguyen, HQ, Niazi, RK, Nikolouzakis, TK, Nikoobar, A, Nikoomanesh, F, Nikpoor, AR, Nnaji, CA, Nnyanzi, LA, Noman, EA, Nomura, S, Norrving, B, Nri-Ezedi, CA, Ntaios, G, Ntsekhe, M, Nurrika, D, Nzoputam, CI, Nzoputam, OJ, Oancea, B, Odetokun, IA, O'Donnell, MJ, Oguntade, AS, Oguta, JO, Okati-Aliabad, H, Okeke, SR, Okekunle, AP, Okonji, OC, Olagunju, AT, Olasupo, OO, Olatubi, MI, Oliveira, GMM, Olufadewa, II, Olusanya, BO, Olusanya, JO, Omar, HA, Omer, GL, Omonisi, AEE, Onie, S, Onwujekwe, OE, Ordak, M, Orish, VN, Ortega-Altamirano, DV, Ortiz, A, Ortiz-Brizuela, E, Osman, WMS, Ostroff, SM, Osuagwu, UL, Otoiu, A, Otstavnov, N, Otstavnov, SS, Ouyahia, A, Ouyang, G, Owolabi, MO, P A, MP, Padron-Monedero, A, Padubidri, JR, Palicz, T, Palladino, C, Pan, F, Pandi-Perumal, SR, Pangaribuan, HU, Panos, GD, Panos, LD, Pantea Stoian, AM, Pardhan, S, Parikh, RR, Pashaei, A, Pasovic, M, Passera, R, Patel, J, Patel, SK, Patil, S, Patoulias, D, Patthipati, VS, Pawar, S, Pazoki Toroudi, H, Pease, SA, Peden, AE, Pedersini, P, Peng, M, Pensato, U, Pepito, VCF, Peprah, EK, Peprah, P, Perdigão, J, Pereira, MO, Perianayagam, A, Perico, N, Pesudovs, K, Petermann-Rocha, FE, Petri, WA, Pham, HT, Philip, AK, Phillips, MR, Pigeolet, M, Pigott, DM, Pillay, JD, Piracha, ZZ, Pirouzpanah, S, Plass, D, Plotnikov, E, Poddighe, D, Polinder, S, Postma, MJ, Pourtaheri, N, Prada, SI, Pradhan, PMS, Prakash, V, Prasad, M, Prates, EJS, Priscilla, T, Pritchett, N, Puri, P, Puvvula, J, Qasim, NH, Qattea, I, Qazi, AS, Qian, G, Rabiee Rad, M, Radhakrishnan, RA, Radhakrishnan, V, Raeisi Shahraki, H, Rafferty, Q, Raggi, A, Raghav, PR, Rahim, MJ, Rahman, MM, Rahman, MHU, Rahman, M, Rahman, MA, Rahmani, S, Rahmanian, M, Rahmawaty, S, Rajaa, S, Ramadan, MM, Ramasamy, SK, Ramasubramani, P, Ramazanu, S, Rana, K, Ranabhat, CL, Rancic, N, Rane, A, Rao, CR, Rao, K, Rao, M, Rao, SJ, Rashidi, M-M, Rathnaiah Babu, G, Rauniyar, SK, Rawaf, DL, Rawaf, S, Razo, C, Reddy, MMRK, Redwan, EMM, Reifels, L, Reiner Jr, 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Y, Yusuf, H, Zahid, MH, Zakham, F, Zaki, L, Zaki, N, Zaman, BA, Zamora, N, Zand, R, Zandieh, GGZ, Zar, HJ, Zarrintan, A, Zastrozhin, MS, Zhang, H, Zhang, N, Zhang, Y, Zhao, H, Zhong, C, Zhong, P, Zhou, J, Zhu, Z, Ziafati, M, Zielińska, M, Zimsen, SRM, Zoladl, M, Zumla, A, Zyoud, SH, Vos, T, and Murray, CJL
Published: 2024

3. Global, regional, and national mortality among young people aged 10–24 years, 1950–2019: a systematic analysis for the Global Burden of Disease Study 2019

Author: Collaborators, GAM, Ward, JL, Azzopardi, PS, Francis, KL, Santelli, JS, Skirbekk, V, Sawyer, SM, Kassebaum, NJ, Mokdad, AH, Hay, SI, Abd-Allah, F, Abdoli, A, Abdollahi, M, Abedi, A, Abolhassani, H, Abreu, LG, Abrigo, MRM, Abu-Gharbieh, E, Abushouk, AI, Adebayo, OM, Adekanmbi, V, Adham, D, Advani, SM, Afshari, K, Agrawal, A, Ahmad, T, Ahmadi, K, Ahmed, AE, Aji, B, Akombi-Inyang, B, Alahdab, F, Al-Aly, Z, Alam, K, Alanezi, FM, Alanzi, TM, Alcalde-Rabanal, JE, Alemu, BW, Al-Hajj, S, Alhassan, RK, Ali, S, Alicandro, G, Alijanzadeh, M, Aljunid, SM, Almasi-Hashiani, A, Almasri, NA, Al-Mekhlafi, HM, Alonso, J, Al-Raddadi, RM, Altirkawi, KA, Alvis-Guzman, N, Amare, AT, Amini, S, Aminorroaya, A, Amit, AML, Amugsi, DA, Ancuceanu, R, Anderlini, D, Andrei, CL, Androudi, S, Ansari, F, Ansari, I, Antonio, CAT, Anvari, D, Anwer, R, Appiah, SCY, Arabloo, J, Arab-Zozani, M, Ärnlöv, J, Asaad, M, Asadi-Aliabadi, M, Asadi-Pooya, AA, Atout, MMW, Ausloos, M, Avenyo, EK, Avila-Burgos, L, Quintanilla, BPA, Ayano, G, Aynalem, YA, Azari, S, Azene, ZN, Bakhshaei, MH, Bakkannavar, SM, Banach, M, Banik, PC, Barboza, MA, Barker-Collo, SL, Bärnighausen, TW, Basu, S, Baune, BT, Bayati, M, Bedi, N, Beghi, E, Bekuma, TT, Bell, AW, Bell, ML, Benjet, C, Bensenor, IM, Berhe, AK, Berhe, K, Berman, AE, Bhagavathula, AS, Bhardwaj, N, Bhardwaj, P, Bhattacharyya, K, Bhattarai, S, Bhutta, ZA, Bijani, A, Bikbov, B, Biondi, A, Birhanu, TTM, Biswas, RK, Bohlouli, S, Bolla, SR, Boloor, A, Borschmann, R, Boufous, S, Bragazzi, NL, Braithwaite, D, Breitborde, NJK, Brenner, H, Britton, GB, Burns, RA, Nagaraja, SB, Butt, ZA, dos Santos, FLC, Cámera, LA, Campos-Nonato, IR, Rincon, JCC, Cárdenas, R, Carreras, G, Carrero, JJ, Carvalho, F, Castaldelli-Maia, JM, Castañeda-Orjuela, CA, Castelpietra, G, Catalá-López, F, Cerin, E, Chandan, JS, Chang, H-Y, Chang, J-C, Charan, J, Chattu, VK, Chaturvedi, S, Choi, J-YJ, Chowdhury, MAK, Christopher, DJ, Chu, D-T, Chung, MT, Chung, S-C, Cicuttini, FM, Constantin, TV, Costa, VM, Dahlawi, SMA, Dai, H, Dai, X, Damiani, G, Dandona, L, Dandona, R, Daneshpajouhnejad, P, Darwesh, AM, Dávila-Cervantes, CA, Davletov, K, De la Hoz, FP, De Leo, D, Dervenis, N, Desai, R, Desalew, A, Deuba, K, Dharmaratne, SD, Dhungana, GP, Dianatinasab, M, da Silva, DD, Diaz, D, Didarloo, A, Djalalinia, S, Dorostkar, F, Doshi, CP, Doshmangir, L, Doyle, KE, Duraes, AR, Kalan, ME, Ebtehaj, S, Edvardsson, D, Tantawi, ME, Elgendy, IY, El-Jaafary, SI, Elsharkawy, A, Eshrati, B, Eskandarieh, S, Esmaeilnejad, S, Esmaeilzadeh, F, Esteghamati, S, Faro, A, Farzadfar, F, Fattahi, N, Feigin, VL, Ferede, TY, Fereshtehnejad, S-M, Fernandes, E, Ferrara, P, Filip, I, Fischer, F, Fisher, JL, Foigt, NA, Folayan, MO, Fomenkov, AA, Foroutan, M, Fukumoto, T, Gad, MM, Gaidhane, AM, Gallus, S, Gebre, T, Gebremedhin, KB, Gebremeskel, GG, Gebremeskel, L, Gebreslassie, AA, Gesesew, HA, Ghadiri, K, Ghafourifard, M, Ghamari, F, Ghashghaee, A, Gilani, SA, Gnedovskaya, EV, Godinho, MA, Golechha, M, Goli, S, Gona, PN, Gopalani, SV, Gorini, G, Grivna, M, Gubari, MIM, Gugnani, HC, Guimarães, RA, Guo, Y, Gupta, R, Haagsma, JA, Hafezi-Nejad, N, Haile, TG, Haj-Mirzaian, A, Hall, BJ, Hamadeh, RR, Abdullah, KH, Hamidi, S, Handiso, DW, Hanif, A, Hankey, GJ, Haririan, H, Haro, JM, Hasaballah, AI, Hashi, A, Hassan, A, Hassanipour, S, Hassankhani, H, Hayat, K, Heidari-Soureshjani, R, Herteliu, C, Heydarpour, F, Ho, HC, Hole, MK, Holla, R, Hoogar, P, Hosseini, M, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Househ, M, Hsairi, M, Huda, TM, Humayun, A, Hussain, R, Hwang, B-F, Iavicoli, I, Ibitoye, SE, Ilesanmi, OS, Ilic, IM, Ilic, MD, Inbaraj, LR, Intarut, N, Iqbal, U, Irvani, SSN, Islam, MM, Islam, MS, Iso, H, Ivers, RQ, Jahani, MA, Jakovljevic, M, Jalali, A, Janodia, MD, Javaheri, T, Jeemon, P, Jenabi, E, Jha, RP, Jha, V, Ji, JS, Jonas, JB, Jones, KM, Joukar, F, Jozwiak, JJ, Juliusson, PB, Jürisson, M, Kabir, A, Kabir, Z, Kalankesh, LR, Kalhor, R, Kamyari, N, Kanchan, T, Karch, A, Karimi, SE, Kaur, S, Kayode, GA, Keiyoro, PN, Khalid, N, Khammarnia, M, Khan, M, Khan, N, Khatab, K, Khater, MM, Khatib, MN, Khayamzadeh, M, Khazaie, H, Khoja, AT, Kieling, C, Kim, Y-E, Kim, YJ, Kimokoti, RW, Kisa, A, Kisa, S, Kivimäki, M, Koolivand, A, Kosen, S, Koyanagi, A, Krishan, K, Kugbey, N, Kumar, GA, Kumar, M, Kumar, N, Kurmi, OP, Kusuma, D, La Vecchia, C, Lacey, B, Lal, DK, Lalloo, R, Lan, Q, Landires, I, Van Charles Lansingh, Larsson, AO, Lasrado, S, Lassi, ZS, Lauriola, P, Lee, PH, Lee, SWH, Leigh, J, Leonardi, M, Leung, J, Levi, M, Lewycka, S, Li, B, Li, M-C, Li, S, Lim, L-L, Lim, SS, Liu, X, Lorkowski, S, Lotufo, PA, Lunevicius, R, Maddison, R, Mahasha, PW, Mahdavi, MM, Mahmoudi, M, Majeed, A, Maleki, A, Malekzadeh, R, Malta, DC, Mamun, AA, Mansouri, B, Mansournia, MA, Martinez, G, Martinez-Raga, J, Martins-Melo, FR, Mason-Jones, AJ, Masoumi, SZ, Mathur, MR, Maulik, PK, McGrath, JJ, Mehndiratta, MM, Mehri, F, Memiah, PTN, Mendoza, W, Menezes, RG, Mengesha, EW, Meretoja, A, Meretoja, TJ, Mestrovic, T, 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F., Castaldelli-Maia J.M., Castaneda-Orjuela C.A., Castelpietra G., Catala-Lopez F., Cerin E., Chandan J.S., Chang H.-Y., Chang J.-C., Charan J., Chattu V.K., Chaturvedi S., Choi J.-Y.J., Chowdhury M.A.K., Christopher D.J., Chu D.-T., Chung M.T., Chung S.-C., Cicuttini F.M., Constantin T.V., Costa V.M., Dahlawi S.M.A., Dai H., Dai X., Damiani G., Dandona L., Dandona R., Daneshpajouhnejad P., Darwesh A.M., Davila-Cervantes C.A., Davletov K., De la Hoz F.P., De Leo D., Dervenis N., Desai R., Desalew A., Deuba K., Dharmaratne S.D., Dhungana G.P., Dianatinasab M., Dias da Silva D., Diaz D., Didarloo A., Djalalinia S., Dorostkar F., Doshi C.P., Doshmangir L., Doyle K.E., Duraes A.R., Ebrahimi Kalan M., Ebtehaj S., Edvardsson D., El Tantawi M., Elgendy I.Y., El-Jaafary S.I., Elsharkawy A., Eshrati B., Eskandarieh S., Esmaeilnejad S., Esmaeilzadeh F., Esteghamati S., Faro A., Farzadfar F., Fattahi N., Feigin V.L., Ferede T.Y., Fereshtehnejad S.-M., Fernandes E., Ferrara P., Filip I., Fischer F., Fisher J.L., Foigt N.A., Folayan M.O., Fomenkov A.A., Foroutan M., Fukumoto T., Gad M.M., Gaidhane A.M., Gallus S., Gebre T., Gebremedhin K.B., Gebremeskel G.G., Gebremeskel L., Gebreslassie A.A., Gesesew H.A., Ghadiri K., Ghafourifard M., Ghamari F., Ghashghaee A., Gilani S.A., Gnedovskaya E.V., Godinho M.A., Golechha M., Goli S., Gona P.N., Gopalani S.V., Gorini G., Grivna M., Gubari M.I.M., Gugnani H.C., Guimaraes R.A., Guo Y., Gupta R., Haagsma J.A., Hafezi-Nejad N., Haile T.G., Haj-Mirzaian A., Hall B.J., Hamadeh R.R., Hamagharib Abdullah K., Hamidi S., Handiso D.W., Hanif A., Hankey G.J., Haririan H., Haro J.M., Hasaballah A.I., Hashi A., Hassan A., Hassanipour S., Hassankhani H., Hayat K., Heidari-Soureshjani R., Herteliu C., Heydarpour F., Ho H.C., Hole M.K., Holla R., Hoogar P., Hosseini M., Hosseinzadeh M., Hostiuc M., Hostiuc S., Househ M., Hsairi M., Huda T.M., Humayun A., Hussain R., Hwang B.-F., Iavicoli I., Ibitoye S.E., Ilesanmi O.S., Ilic I.M., Ilic M.D., Inbaraj L.R., Intarut N., Iqbal U., Irvani S.S.N., Islam M.M., Islam S.M.S., Iso H., Ivers R.Q., Jahani M.A., Jakovljevic M., Jalali A., Janodia M.D., Javaheri T., Jeemon P., Jenabi E., Jha R.P., Jha V., Ji J.S., Jonas J.B., Jones K.M., Joukar F., Jozwiak J.J., Juliusson P.B., Jurisson M., Kabir A., Kabir Z., Kalankesh L.R., Kalhor R., Kamyari N., Kanchan T., Karch A., Karimi S.E., Kaur S., Kayode G.A., Keiyoro P.N., Khalid N., Khammarnia M., Khan M., Khan M.N., Khatab K., Khater M.M., Khatib M.N., Khayamzadeh M., Khazaie H., Khoja A.T., Kieling C., Kim Y.-E., Kim Y.J., Kimokoti R.W., Kisa A., Kisa S., Kivimaki M., Koolivand A., Kosen S., Koyanagi A., Krishan K., Kugbey N., Kumar G.A., Kumar M., Kumar N., Kurmi O.P., Kusuma D., La Vecchia C., Lacey B., Lal D.K., Lalloo R., Lan Q., Landires I., Lansingh V.C., Larsson A.O., Lasrado S., Lassi Z.S., Lauriola P., Lee P.H., Lee S.W.H., Leigh J., Leonardi M., Leung J., Levi M., Lewycka S., Li B., Li M.-C., Li S., Lim L.-L., Lim S.S., Liu X., Lorkowski S., Lotufo P.A., Lunevicius R., Maddison R., Mahasha P.W., Mahdavi M.M., Mahmoudi M., Majeed A., Maleki A., Malekzadeh R., Malta D.C., Mamun A.A., Mansouri B., Mansournia M.A., Martinez G., Martinez-Raga J., Martins-Melo F.R., Mason-Jones A.J., Masoumi S.Z., Mathur M.R., Maulik P.K., McGrath J.J., Mehndiratta M.M., Mehri F., Memiah P.T.N., Mendoza W., Menezes R.G., Mengesha E.W., Meretoja A., Meretoja T.J., Mestrovic T., Miazgowski B., Miazgowski T., Michalek I.M., Miller T.R., Mini G.K., Mirica A., Mirrakhimov E.M., Mirzaei H., Mirzaei M., Moazen B., Mohammad D.K., Mohammadi S., Mohammadian-Hafshejani A., Mohammadifard N., Mohammadpourhodki R., Mohammed S., Monasta L., Moradi G., Moradi-Lakeh M., Moradzadeh R., Moraga P., Morrison S.D., Mosapour A., Mousavi Khaneghah A., Mueller U.O., Muriithi M.K., Murray C.J.L., Muthupandian S., Naderi M., Nagarajan A.J., Naghavi M., Naimzada M.D., Nangia V., Nayak V.C., Nazari J., Ndejjo R., Negoi I., Negoi R.I., Netsere H.B., Nguefack-Tsague G., Nguyen D.N., Nguyen H.L.T., Nie J., Ningrum D.N.A., Nnaji C.A., Nomura S., Noubiap J.J., Nowak C., Nunez-Samudio V., Ogbo F.A., Oghenetega O.B., Oh I.-H., Oladnabi M., Olagunju A.T., Olusanya B.O., Olusanya J.O., Omar Bali A., Omer M.O., Onwujekwe O.E., Ortiz A., Otoiu A., Otstavnov N., Otstavnov S.S., Overland S., Owolabi M.O., P A M., Padubidri J.R., Pakshir K., Palladino R., Pana A., Panda-Jonas S., Pandey A., Panelo C.I.A., Park E.-K., Patten S.B., Peden A.E., Pepito V.C.F., Peprah E.K., Pereira J., Pesudovs K., Pham H.Q., Phillips M.R., Piradov M.A., Pirsaheb M., Postma M.J., Pottoo F.H., Pourjafar H., Pourshams A., Prada S.I., Pupillo E., Quazi Syed Z., Rabiee M.H., Rabiee N., Radfar A., Rafiee A., Raggi A., Rahim F., Rahimi-Movaghar V., Rahman M.H.U., Rahman M.A., Ramezanzadeh K., Ranabhat C.L., Rao S.J., Rashedi V., Rastogi P., Rathi P., Rawaf D.L., Rawaf S., Rawal L., Rawassizadeh R., Renzaho A.M.N., Rezaei N., Rezai M.S., Riahi S.M., Rickard J., Roever L., Ronfani L., Roth G.A., Rubagotti E., Rumisha S.F., Rwegerera G.M., Sabour S., Sachdev P.S., Saddik B., Sadeghi E., Saeedi Moghaddam S., Sagar R., Sahebkar A., Sahraian M.A., Sajadi S.M., Salem M.R., Salimzadeh H., Samy A.M., Sanabria J., Santric-Milicevic M.M., Saraswathy S.Y.I., Sarrafzadegan N., Sarveazad A., Sathish T., Sattin D., Saxena D., Saxena S., Schiavolin S., Schwebel D.C., Schwendicke F., Senthilkumaran S., Sepanlou S.G., Sha F., Shafaat O., Shahabi S., Shaheen A.A., Shaikh M.A., Shakiba S., Shamsi M., Shannawaz M., Sharafi K., Sheikh A., Sheikhbahaei S., Shetty B.S.K., Shi P., Shigematsu M., Shin J.I., Shiri R., Shuval K., Siabani S., Sigfusdottir I.D., Sigurvinsdottir R., Silva D.A.S., Silva J.P., Simonetti B., Singh J.A., Singh V., Sinke A.H., Skryabin V.Y., Slater H., Smith E.U.R., Sobhiyeh M.R., Sobngwi E., Soheili A., Somefun O.D., Sorrie M.B., Soyiri I.N., Sreeramareddy C.T., Stein D.J., Stokes M.A., Sudaryanto A., Sultan I., Tabares-Seisdedos R., Tabuchi T., Tadakamadla S.K., Taherkhani A., Tamiru A.T., Tareque M.I., Thankappan K.R., Thapar R., Thomas N., Titova M.V., Tonelli M., Tovani-Palone M.R., Tran B.X., Travillian R.S., Tsai A.C., Tsatsakis A., Tudor Car L., Uddin R., Unim B., Unnikrishnan B., Upadhyay E., Vacante M., Valadan Tahbaz S., Valdez P.R., Varughese S., Vasankari T.J., Venketasubramanian N., Villeneuve P.J., Violante F.S., Vlassov V., Vos T., Vu G.T., Waheed Y., Wamai R.G., Wang Y., Wang Y.-P., Westerman R., Wickramasinghe N.D., Wu A.-M., Wu C., Yahyazadeh Jabbari S.H., Yamagishi K., Yano Y., Yaya S., Yazdi-Feyzabadi V., Yeshitila Y.G., Yip P., Yonemoto N., Yoon S.-J., Younis M.Z., Yousefinezhadi T., Yu C., Yu Y., Yuce D., Zaidi S.S., Zaman S.B., Zamani M., Zamanian M., Zarafshan H., Zarei A., Zastrozhin M.S., Zhang Y., Zhang Z.-J., Zhao X.-J.G., Zhu C., Patton G.C., Viner R.M., Lee Kong Chian School of Medicine (LKCMedicine), Ward, J, Azzopardi, P, Francis, K, Santelli, J, Skirbekk, V, Sawyer, S, Kassebaum, N, Mokdad, A, Hay, S, Abd-Allah, F, Abdoli, A, Abdollahi, M, Abedi, A, Abolhassani, H, Abreu, L, Abrigo, M, Abu-Gharbieh, E, Abushouk, A, Adebayo, O, Adekanmbi, V, Adham, D, Advani, S, Afshari, K, Agrawal, A, Ahmad, T, Ahmadi, K, Ahmed, A, Aji, B, Akombi-Inyang, B, Alahdab, F, Al-Aly, Z, Alam, K, Alanezi, F, Alanzi, T, Alcalde-Rabanal, J, Alemu, B, Al-Hajj, S, Alhassan, R, Ali, S, Alicandro, G, Alijanzadeh, M, Aljunid, S, Almasi-Hashiani, A, Almasri, N, Al-Mekhlafi, H, Alonso, J, Al-Raddadi, R, Altirkawi, K, Alvis-Guzman, N, Amare, A, Amini, S, Aminorroaya, A, Amit, A, Amugsi, D, Ancuceanu, R, Anderlini, D, Andrei, C, Androudi, S, Ansari, F, Ansari, I, Antonio, C, Anvari, D, Anwer, R, Appiah, S, Arabloo, J, Arab-Zozani, M, Arnlov, J, Asaad, M, Asadi-Aliabadi, M, Asadi-Pooya, A, Atout, M, Ausloos, M, Avenyo, E, Avila-Burgos, L, Ayala Quintanilla, B, Ayano, G, Aynalem, Y, Azari, S, Azene, Z, Bakhshaei, M, Bakkannavar, S, Banach, M, Banik, P, Barboza, M, Barker-Collo, S, Barnighausen, T, Basu, S, Baune, B, Bayati, M, Bedi, N, Beghi, E, Bekuma, T, Bell, A, Bell, M, Benjet, C, Bensenor, I, Berhe, A, Berhe, K, Berman, A, Bhagavathula, A, Bhardwaj, N, Bhardwaj, P, Bhattacharyya, K, Bhattarai, S, Bhutta, Z, Bijani, A, Bikbov, B, Biondi, A, Birhanu, T, Biswas, R, Bohlouli, S, Bolla, S, Boloor, A, Borschmann, R, Boufous, S, Bragazzi, N, Braithwaite, D, Breitborde, N, Brenner, H, Britton, G, Burns, R, Burugina Nagaraja, S, Butt, Z, Caetano dos Santos, F, Camera, L, Campos-Nonato, I, Campuzano Rincon, J, Cardenas, R, Carreras, G, Carrero, J, Carvalho, F, Castaldelli-Maia, J, Castaneda-Orjuela, C, Castelpietra, G, Catala-Lopez, F, Cerin, E, Chandan, J, Chang, H, Chang, J, Charan, J, Chattu, V, Chaturvedi, S, Choi, J, Chowdhury, M, Christopher, D, Chu, D, Chung, M, Chung, S, Cicuttini, F, Constantin, T, Costa, V, Dahlawi, S, Dai, H, Dai, X, Damiani, G, Dandona, L, Dandona, R, Daneshpajouhnejad, P, Darwesh, A, Davila-Cervantes, C, Davletov, K, De la Hoz, F, De Leo, D, Dervenis, N, Desai, R, Desalew, A, Deuba, K, Dharmaratne, S, Dhungana, G, Dianatinasab, M, Dias da Silva, D, Diaz, D, Didarloo, A, Djalalinia, S, Dorostkar, F, Doshi, C, Doshmangir, L, Doyle, K, Duraes, A, Ebrahimi Kalan, M, Ebtehaj, S, Edvardsson, D, El Tantawi, M, Elgendy, I, El-Jaafary, S, Elsharkawy, A, Eshrati, B, Eskandarieh, S, Esmaeilnejad, S, Esmaeilzadeh, F, Esteghamati, S, Faro, A, Farzadfar, F, Fattahi, N, Feigin, V, Ferede, T, Fereshtehnejad, S, Fernandes, E, Ferrara, P, Filip, I, Fischer, F, Fisher, J, Foigt, N, Folayan, M, Fomenkov, A, Foroutan, M, Fukumoto, T, Gad, M, Gaidhane, A, Gallus, S, Gebre, T, Gebremedhin, K, Gebremeskel, G, Gebremeskel, L, Gebreslassie, A, Gesesew, H, Ghadiri, K, Ghafourifard, M, Ghamari, F, Ghashghaee, A, Gilani, S, Gnedovskaya, E, Godinho, M, Golechha, M, Goli, S, Gona, P, Gopalani, S, Gorini, G, Grivna, M, Gubari, M, Gugnani, H, Guimaraes, R, Guo, Y, Gupta, R, Haagsma, J, Hafezi-Nejad, N, Haile, T, Haj-Mirzaian, A, Hall, B, Hamadeh, R, Hamagharib Abdullah, K, Hamidi, S, Handiso, D, Hanif, A, Hankey, G, Haririan, H, Haro, J, Hasaballah, A, Hashi, A, Hassan, A, Hassanipour, S, Hassankhani, H, Hayat, K, Heidari-Soureshjani, R, Herteliu, C, Heydarpour, F, Ho, H, Hole, M, Holla, R, Hoogar, P, Hosseini, M, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Househ, M, Hsairi, M, Huda, T, Humayun, A, Hussain, R, Hwang, B, Iavicoli, I, Ibitoye, S, Ilesanmi, O, Ilic, I, Ilic, M, Inbaraj, L, Intarut, N, Iqbal, U, Irvani, S, Islam, M, Islam, S, Iso, H, Ivers, R, Jahani, M, Jakovljevic, M, Jalali, A, Janodia, M, Javaheri, T, Jeemon, P, Jenabi, E, Jha, R, Jha, V, Ji, J, Jonas, J, Jones, K, Joukar, F, Jozwiak, J, Juliusson, P, Jurisson, M, Kabir, A, Kabir, Z, Kalankesh, L, Kalhor, R, Kamyari, N, Kanchan, T, Karch, A, Karimi, S, Kaur, S, Kayode, G, Keiyoro, P, Khalid, N, Khammarnia, M, Khan, M, Khatab, K, Khater, M, Khatib, M, Khayamzadeh, M, Khazaie, H, Khoja, A, Kieling, C, Kim, Y, Kimokoti, R, Kisa, A, Kisa, S, Kivimaki, M, Koolivand, A, Kosen, S, Koyanagi, A, Krishan, K, Kugbey, N, Kumar, G, Kumar, M, Kumar, N, Kurmi, O, Kusuma, D, La Vecchia, C, Lacey, B, Lal, D, Lalloo, R, Lan, Q, Landires, I, Lansingh, V, Larsson, A, Lasrado, S, Lassi, Z, Lauriola, P, Lee, P, Lee, S, Leigh, J, Leonardi, M, Leung, J, Levi, M, Lewycka, S, Li, B, Li, M, Li, S, Lim, L, Lim, S, Liu, X, Lorkowski, S, Lotufo, P, Lunevicius, R, Maddison, R, Mahasha, P, Mahdavi, M, Mahmoudi, M, Majeed, A, Maleki, A, Malekzadeh, R, Malta, D, Mamun, A, Mansouri, B, Mansournia, M, Martinez, G, Martinez-Raga, J, Martins-Melo, F, Mason-Jones, A, Masoumi, S, Mathur, M, Maulik, P, Mcgrath, J, Mehndiratta, M, Mehri, F, Memiah, P, Mendoza, W, Menezes, R, Mengesha, E, Meretoja, A, Meretoja, T, Mestrovic, T, Miazgowski, B, Miazgowski, T, Michalek, I, Miller, T, Mini, G, Mirica, A, Mirrakhimov, E, Mirzaei, H, Mirzaei, M, Moazen, B, Mohammad, D, Mohammadi, S, Mohammadian-Hafshejani, A, Mohammadifard, N, Mohammadpourhodki, R, Mohammed, S, Monasta, L, Moradi, G, Moradi-Lakeh, M, Moradzadeh, R, Moraga, P, Morrison, S, Mosapour, A, Mousavi Khaneghah, A, Mueller, U, Muriithi, M, Murray, C, Muthupandian, S, Naderi, M, Nagarajan, A, Naghavi, M, Naimzada, M, Nangia, V, Nayak, V, Nazari, J, Ndejjo, R, Negoi, I, Negoi, R, Netsere, H, Nguefack-Tsague, G, Nguyen, D, Nguyen, H, Nie, J, Ningrum, D, Nnaji, C, Nomura, S, Noubiap, J, Nowak, C, Nunez-Samudio, V, Ogbo, F, Oghenetega, O, Oh, I, Oladnabi, M, Olagunju, A, Olusanya, B, Olusanya, J, Omar Bali, A, Omer, M, Onwujekwe, O, Ortiz, A, Otoiu, A, Otstavnov, N, Otstavnov, S, Overland, S, Owolabi, M, P A, M, Padubidri, J, Pakshir, K, Palladino, R, Pana, A, Panda-Jonas, S, Pandey, A, Panelo, C, Park, E, Patten, S, Peden, A, Pepito, V, Peprah, E, Pereira, J, Pesudovs, K, Pham, H, Phillips, M, Piradov, M, Pirsaheb, M, Postma, M, Pottoo, F, Pourjafar, H, Pourshams, A, Prada, S, Pupillo, E, Quazi Syed, Z, Rabiee, M, Rabiee, N, Radfar, A, Rafiee, A, Raggi, A, Rahim, F, Rahimi-Movaghar, V, Rahman, M, Ramezanzadeh, K, Ranabhat, C, Rao, S, Rashedi, V, Rastogi, P, Rathi, P, Rawaf, D, Rawaf, S, Rawal, L, Rawassizadeh, R, Renzaho, A, Rezaei, N, Rezai, M, Riahi, S, Rickard, J, Roever, L, Ronfani, L, Roth, G, Rubagotti, E, Rumisha, S, Rwegerera, G, Sabour, S, Sachdev, P, Saddik, B, Sadeghi, E, Saeedi Moghaddam, S, Sagar, R, Sahebkar, A, Sahraian, M, Sajadi, S, Salem, M, Salimzadeh, H, Samy, A, Sanabria, J, Santric-Milicevic, M, Saraswathy, S, Sarrafzadegan, N, Sarveazad, A, Sathish, T, Sattin, D, Saxena, D, Saxena, S, Schiavolin, S, Schwebel, D, Schwendicke, F, Senthilkumaran, S, Sepanlou, S, Sha, F, Shafaat, O, Shahabi, S, Shaheen, A, Shaikh, M, Shakiba, S, Shamsi, M, Shannawaz, M, Sharafi, K, Sheikh, A, Sheikhbahaei, S, Shetty, B, Shi, P, Shigematsu, M, Shin, J, Shiri, R, Shuval, K, Siabani, S, Sigfusdottir, I, Sigurvinsdottir, R, Silva, D, Silva, J, Simonetti, B, Singh, J, Singh, V, Sinke, A, Skryabin, V, Slater, H, Smith, E, Sobhiyeh, M, Sobngwi, E, Soheili, A, Somefun, O, Sorrie, M, Soyiri, I, Sreeramareddy, C, Stein, D, Stokes, M, Sudaryanto, A, Sultan, I, Tabares-Seisdedos, R, Tabuchi, T, Tadakamadla, S, Taherkhani, A, Tamiru, A, Tareque, M, Thankappan, K, Thapar, R, Thomas, N, Titova, M, Tonelli, M, Tovani-Palone, M, Tran, B, Travillian, R, Tsai, A, Tsatsakis, A, Tudor Car, L, Uddin, R, Unim, B, Unnikrishnan, B, Upadhyay, E, Vacante, M, Valadan Tahbaz, S, Valdez, P, Varughese, S, Vasankari, T, Venketasubramanian, N, Villeneuve, P, Violante, F, Vlassov, V, Vos, T, Vu, G, Waheed, Y, Wamai, R, Wang, Y, Westerman, R, Wickramasinghe, N, Wu, A, Wu, C, Yahyazadeh Jabbari, S, Yamagishi, K, Yano, Y, Yaya, S, Yazdi-Feyzabadi, V, Yeshitila, Y, Yip, P, Yonemoto, N, Yoon, S, Younis, M, Yousefinezhadi, T, Yu, C, Yu, Y, Yuce, D, Zaidi, S, Zaman, S, Zamani, M, Zamanian, M, Zarafshan, H, Zarei, A, Zastrozhin, M, Zhang, Y, Zhang, Z, Zhao, X, Zhu, C, Patton, G, and Viner, R
Subjects: Male, Joves -- Mortalitat, ADOLESCENT HEALTH, CHILDREN, Socioeconomic Factor, Global Burden of Disease, RA0421, Cause of Death, Medicine, Young adult, Child, 11 Medical and Health Sciences, Cause of death, education.field_of_study, Adolescent, Age Distribution, Female, Humans, Mortality, Sex Distribution, Socioeconomic Factors, Young Adult, Mortality rate, Public Health, Global Health, Social Medicine and Epidemiology, General Medicine, Articles, Hälsovetenskaper, MIDDLE-INCOME, MENTAL-HEALTH, Adolescent health, INTERVENTIONS, Human, SUICIDE, Total fertility rate, Population, Adolescent Health, Adolescents -- Mortalitat, General & Internal Medicine, Health Sciences, QUALITY, Medicine [Science], Social determinants of health, INCOME COUNTRIES, education, business.industry, TRENDS, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, Years of potential life lost, INJURIES, business, Demography
Abstract: Background Documentation of patterns and long-term trends in mortality in young people, which reflect huge changes in demographic and social determinants of adolescent health, enables identification of global investment priorities for this age group. We aimed to analyse data on the number of deaths, years of life lost, and mortality rates by sex and age group in people aged 10–24 years in 204 countries and territories from 1950 to 2019 by use of estimates from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019. Methods We report trends in estimated total numbers of deaths and mortality rate per 100 000 population in young people aged 10–24 years by age group (10–14 years, 15–19 years, and 20–24 years) and sex in 204 countries and territories between 1950 and 2019 for all causes, and between 1980 and 2019 by cause of death. We analyse variation in outcomes by region, age group, and sex, and compare annual rate of change in mortality in young people aged 10–24 years with that in children aged 0–9 years from 1990 to 2019. We then analyse the association between mortality in people aged 10–24 years and socioeconomic development using the GBD Socio-demographic Index (SDI), a composite measure based on average national educational attainment in people older than 15 years, total fertility rate in people younger than 25 years, and income per capita. We assess the association between SDI and all-cause mortality in 2019, and analyse the ratio of observed to expected mortality by SDI using the most recent available data release (2017). Findings In 2019 there were 1·49 million deaths (95% uncertainty interval 1·39–1·59) worldwide in people aged 10–24 years, of which 61% occurred in males. 32·7% of all adolescent deaths were due to transport injuries, unintentional injuries, or interpersonal violence and conflict; 32·1% were due to communicable, nutritional, or maternal causes; 27·0% were due to non-communicable diseases; and 8·2% were due to self-harm. Since 1950, deaths in this age group decreased by 30·0% in females and 15·3% in males, and sex-based differences in mortality rate have widened in most regions of the world. Geographical variation has also increased, particularly in people aged 10–14 years. Since 1980, communicable and maternal causes of death have decreased sharply as a proportion of total deaths in most GBD super-regions, but remain some of the most common causes in sub-Saharan Africa and south Asia, where more than half of all adolescent deaths occur. Annual percentage decrease in all-cause mortality rate since 1990 in adolescents aged 15–19 years was 1·3% in males and 1·6% in females, almost half that of males aged 1–4 years (2·4%), and around a third less than in females aged 1–4 years (2·5%). The proportion of global deaths in people aged 0–24 years that occurred in people aged 10–24 years more than doubled between 1950 and 2019, from 9·5% to 21·6%. Interpretation Variation in adolescent mortality between countries and by sex is widening, driven by poor progress in reducing deaths in males and older adolescents. Improving global adolescent mortality will require action to address the specific vulnerabilities of this age group, which are being overlooked. Furthermore, indirect effects of the COVID-19 pandemic are likely to jeopardise efforts to improve health outcomes including mortality in young people aged 10–24 years. There is an urgent need to respond to the changing global burden of adolescent mortality, address inequities where they occur, and improve the availability and quality of primary mortality data in this age group. Funding Bill & Melinda Gates Foundation.
Published: 2021

4. Global, regional, and national progress towards Sustainable Development Goal 3.2 for neonatal and child health: all-cause and cause-specific mortality findings from the Global Burden of Disease Study 2019

Author: Paulson, KR, Kamath, AM, Alam, T, Bienhoff, K, Abady, GG, Abbas, J, Abbasi-Kangevari, M, Abbastabar, H, Abd-Allah, F, Abd-Elsalam, SM, Abdoli, A, Abedi, A, Abolhassani, H, Abreu, LG, Abu-Gharbieh, E, Abu-Rmeileh, NME, Abushouk, A, Adamu, AL, Adebayo, OM, Adegbosin, AE, Adekanmbi, V, Adetokunboh, OO, Adeyinka, DA, Adsuar, JC, Afshari, K, Aghaali, M, Agudelo-Botero, M, Ahinkorah, BO, Ahmad, T, Ahmadi, K, Ahmed, MB, Aji, B, Akalu, Y, Akinyemi, OO, Aklilu, A, Al-Aly, Z, Alam, K, Alanezi, FM, Alanzi, TM, Alcalde-Rabanal, JE, Al-Eyadhy, A, Ali, T, Alicandro, G, Alif, SM, Alipour, V, Alizade, H, Aljunid, SM, Almasi-Hashiani, A, Almasri, NA, Al-Mekhlafi, HM, Alonso, J, Al-Raddadi, RM, Altirkawi, KA, Alumran, AK, Alvis-Guzman, N, Alvis-Zakzuk, NJ, Ameyaw, EK, Amini, S, Amini-Rarani, M, Amit, AML, Amugsi, DA, Ancuceanu, R, Anderlini, D, Andrei, CL, Ansari, F, Ansari-Moghaddam, A, Antonio, CAT, Antriyandarti, E, Anvari, D, Anwer, R, Aqeel, M, Arabloo, J, Arab-Zozani, M, Aripov, T, Arnlov, J, Artanti, KD, Arzani, A, Asaad, M, Asadi-Aliabadi, M, Asadi-Pooya, AA, Jafarabadi, MA, Athari, SS, Athari, SM, Atnafu, DD, Atreya, A, Atteraya, MS, Ausloos, M, Awan, AT, Quintanilla, BPA, Ayano, G, Ayanore, MA, Aynalem, YA, Azari, S, Azarian, G, Azene, ZN, Darshan, BB, Babaee, E, Badiye, AD, Baig, AA, Banach, M, Banik, PC, Barker-Collo, SL, Barqawi, HJ, Bassat, Q, Basu, S, Baune, BT, Bayati, M, Bedi, N, Beghi, E, Beghi, M, Bell, ML, Bendak, S, Bennett, DA, Bensenor, IM, Berhe, K, Berman, AE, Bezabih, YM, Bhagavathula, AS, Bhandari, D, Bhardwaj, N, Bhardwaj, P, Bhattacharyya, K, Bhattarai, S, Bhutta, ZA, Bikbov, B, Biondi, A, Birihane, BM, Biswas, RK, Bohlouli, S, Bragazzi, NL, Breusov, A, Brunoni, AR, Burkart, K, Nagaraja, SB, Busse, R, Butt, ZA, dos Santos, FLC, Cahuana-Hurtado, L, Camargos, P, Camera, LA, Cardenas, R, Carreras, G, Carrero, JJ, Carvalho, F, Castaldelli-Maia, JM, Castaneda-Orjuela, CA, Castelpietra, G, Cerin, E, Chang, J-C, Chanie, WF, Charan, J, Chatterjee, S, Chattu, SK, Chattu, VK, Chaturvedi, S, Chen, S, Cho, DY, Choi, J-YJ, Chu, D-T, Ciobanu, LG, Cirillo, M, Conde, J, Costa, VM, Couto, RAS, Dachew, BA, Dahlawi, SMA, Dai, H, Dai, X, Dandona, L, Dandona, R, Daneshpajouhnejad, P, Darmstadt, GL, Das, JK, Davila-Cervantes, CA, Davis, AC, Davletov, K, De la Hoz, FP, De Leo, D, Deeba, F, Denova-Gutierrez, E, Dervenis, N, Desalew, A, Deuba, K, Dey, S, Dharmaratne, SD, Dhingra, S, Dhungana, GP, da Silva, DD, Diaz, D, Dorostkar, F, Doshmangir, L, Dubljanin, E, Duraes, AR, Eagan, AW, Edinur, HA, Efendi, F, Eftekharzadeh, S, El Sayed, I, El Tantawi, M, Elbarazi, I, Elgendy, IY, El-Jaafary, S, Emami, A, Enany, S, Eyawo, O, Ezzikouri, S, Faris, PS, Farzadfar, F, Fattahi, N, Fauk, NK, Fazlzadeh, M, Feigin, VL, Ferede, TY, Fereshtehnejad, S-M, Fernandes, E, Ferrara, P, Filip, I, Fischer, F, Fisher, JL, Foigt, NA, Folayan, MO, Foroutan, M, Franklin, RC, Freitas, M, Friedman, SD, Fukumoto, T, Gad, MM, Gaidhane, AM, Gaidhane, S, Gaihre, S, Gallus, S, Garcia-Basteiro, AL, Garcia-Gordillo, M, Gardner, WM, Fonseca, MG, Gebremedhin, KB, Getacher, L, Ghashghaee, A, Gholamian, A, Gilani, SA, Gill, TK, Giussani, G, Gnedovskaya, E, Godinho, MA, Goel, A, Golechha, M, Gona, PN, Gopalani, SV, Goudarzi, H, Grivna, M, Gugnani, HC, Guido, D, Guimaraes, RA, Das Gupta, R, Gupta, R, Hafezi-Nejad, N, Haider, MR, Haj-Mirzaian, A, Hamidi, S, Hanif, A, Hankey, GJ, Hargono, A, Hasaballah, A, Hasan, MM, Hasan, SS, Hassan, A, Hassanipour, S, Hassankhani, H, Havmoeller, RJ, Hayat, K, Heidari-Soureshjani, R, Henry, NJ, Herteliu, C, Hole, MK, Holla, R, Hossain, N, Hosseini, M, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Househ, M, Huang, J, Humayun, A, Hwang, B-F, Iavicoli, I, Ibitoye, SE, Ikuta, KS, Ilesanmi, OS, Ilic, IM, Ilic, MD, Inamdar, S, Inbaraj, LR, Iqbal, K, Iqbal, U, Islam, MM, Shariful Islam, Sheikh, Iso, H, Iwagami, M, Iwu, CCD, Jaafari, J, Jacobsen, KH, Jagnoor, J, Jain, V, Janodia, MD, Javaheri, T, Javanmardi, F, Jayaram, S, Jayatilleke, AU, 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IY, El-Jaafary, S, Emami, A, Enany, S, Eyawo, O, Ezzikouri, S, Faris, PS, Farzadfar, F, Fattahi, N, Fauk, NK, Fazlzadeh, M, Feigin, VL, Ferede, TY, Fereshtehnejad, S-M, Fernandes, E, Ferrara, P, Filip, I, Fischer, F, Fisher, JL, Foigt, NA, Folayan, MO, Foroutan, M, Franklin, RC, Freitas, M, Friedman, SD, Fukumoto, T, Gad, MM, Gaidhane, AM, Gaidhane, S, Gaihre, S, Gallus, S, Garcia-Basteiro, AL, Garcia-Gordillo, M, Gardner, WM, Fonseca, MG, Gebremedhin, KB, Getacher, L, Ghashghaee, A, Gholamian, A, Gilani, SA, Gill, TK, Giussani, G, Gnedovskaya, E, Godinho, MA, Goel, A, Golechha, M, Gona, PN, Gopalani, SV, Goudarzi, H, Grivna, M, Gugnani, HC, Guido, D, Guimaraes, RA, Das Gupta, R, Gupta, R, Hafezi-Nejad, N, Haider, MR, Haj-Mirzaian, A, Hamidi, S, Hanif, A, Hankey, GJ, Hargono, A, Hasaballah, A, Hasan, MM, Hasan, SS, Hassan, A, Hassanipour, S, Hassankhani, H, Havmoeller, RJ, Hayat, K, Heidari-Soureshjani, R, Henry, NJ, Herteliu, C, Hole, MK, Holla, R, Hossain, N, Hosseini, M, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Househ, M, Huang, J, Humayun, A, Hwang, B-F, Iavicoli, I, Ibitoye, SE, Ikuta, KS, Ilesanmi, OS, Ilic, IM, Ilic, MD, Inamdar, S, Inbaraj, LR, Iqbal, K, Iqbal, U, Islam, MM, Shariful Islam, Sheikh, Iso, H, Iwagami, M, Iwu, CCD, Jaafari, J, Jacobsen, KH, Jagnoor, J, Jain, V, Janodia, MD, Javaheri, T, Javanmardi, F, Jayaram, S, Jayatilleke, AU, Jenabi, E, Jha, RP, Ji, JS, John, O, Jonas, JB, Joo, T, Joseph, N, Joukar, F, Jozwiak, JJ, Jurisson, M, Kabir, A, Kabir, Z, Kalankesh, LR, Kamyari, N, Kanchan, T, Kapoor, N, Matin, BK, Karch, A, Karimi, SE, Kassahun, G, Kayode, GA, Karyani, AK, Kemmer, L, Khalid, N, Khalilov, R, Khammarnia, M, Khan, EA, Khan, G, Khan, M, Khan, MN, Khang, Y-H, Khatab, K, Khater, AM, Khater, MM, Khayamzadeh, M, Khosravi, A, Kim, D, Kim, Y-E, Kim, YJ, Kimokoti, RW, Kisa, A, Kisa, S, Kissoon, N, Kopec, JA, Kosen, S, Koul, PA, Laxminarayana, SLK, Koyanagi, A, Krishan, K, Krishnamoorthy, V, Defo, BK, Bicer, BK, Kulkarni, V, Kumar, GA, Kumar, M, Kumar, N, Kurmi, OP, Kusuma, D, La Vecchia, C, Lacey, B, Lalloo, R, Lami, FH, Landires, I, Larsson, AO, Lasrado, S, Lassi, ZS, Lauriola, P, Lee, PH, Lee, SWH, Lee, YH, Leigh, J, Leonardi, M, Lewycka, S, Li, B, Li, S, Liang, J, Lim, L-L, Limenih, MA, Lin, R-T, Liu, X, Lodha, R, Lopez, AD, Lozano, R, Lugo, A, Lunevicius, R, Mackay, MT, Kunjathur, SM, Magnani, FG, Prasad, DRM, Maheri, M, Mahmoudi, M, Majeed, A, Maled, V, Maleki, A, Maleki, S, Malekzadeh, R, Malik, AA, Malta, DC, Mamun, AA, Mansouri, B, Mansournia, MA, Martinez, G, Martini, S, Martins-Melo, FR, Masoumi, SZ, Maulik, PK, McAlinden, C, McGrath, JJ, Medina-Solis, CE, Nasab, EM, Mejia-Rodriguez, F, Memish, ZA, Mendoza, W, Menezes, RG, Mengesha, EW, Mensah, GA, Meretoja, A, Meretoja, TJ, Mersha, AM, Mestrovic, T, Miazgowski, B, Miazgowski, T, Michalek, IM, Miller, TR, Mini, GK, Miri, M, Mirica, A, Mirrakhimov, EM, Mirzaei, H, Mirzaei, M, Moazen, B, Moghadaszadeh, M, Mohajer, B, Mohamad, O, Mohammad, Y, Mohammadi, SM, Mohammadian-Hafshejani, A, Mohammed, S, Mokdad, AH, Molokhia, M, Monasta, L, Mondello, S, Moni, MA, Moore, CE, Moradi, G, Moradi, M, Moradzadeh, R, Moraga, P, Morawska, L, Morrison, SD, Mosser, JF, Khaneghah, AM, Mustafa, G, Naderi, M, Nagarajan, AJ, Nagaraju, SP, Naghavi, M, Naghshtabrizi, B, Naimzada, MD, Nangia, V, Swamy, SN, Nascimento, BR, Naveed, M, Nazari, J, Ndejjo, R, Negoi, I, Negoi, RI, Nena, E, Nepal, S, Netsere, HB, Nguefack-Tsague, G, Ngunjiri, JW, Chi, TYN, Cuong, TN, Huong, LTN, Nigatu, YT, Nigussie, SN, Nixon, MR, Nnaji, CA, Nomura, S, Noor, NM, Noubiap, JJ, Nunez-Samudio, V, Nwatah, VE, Oancea, B, Odukoya, OO, Ogbo, FA, Olusanya, BO, Olusanya, JO, Bali, AO, Onwujekwe, OE, Ortiz, A, Otoiu, A, Otstavnov, N, Otstavnov, SS, Owolabi, MO, Mahesh, PA, Padubidri, JR, Pakhale, S, Pakshir, K, Pal, PK, Palladino, R, Pana, A, Panda-Jonas, S, Pandey, A, Pandi-Perumal, SR, Pangaribuan, HU, Pardo-Montano, AM, Park, E-K, Patel, SK, Patton, GC, Pawar, S, Toroudi, HP, Peden, AE, Pepito, VCF, Peprah, EK, Pereira, J, Perez-Gomez, J, Perico, N, Pesudovs, K, Pilgrim, T, Pinheiro, M, Piradov, MA, Pirsaheb, M, Platts-Mills, JA, Pokhrel, KN, Postma, MJ, Pourjafar, H, Prada, S, Prakash, S, Pupillo, E, Syed, ZQ, Rabiee, N, Radfar, A, Rafiee, A, Rafiei, A, Raggi, A, Rahimzadeh, S, Rahman, MHU, Rahmani, AM, Ramezanzadeh, K, Rana, J, Ranabhat, CL, Rao, SJ, Rasella, D, Rastogi, P, Rathi, P, Rawaf, DL, Rawaf, S, Rawasia, WF, Rawassizadeh, R, Jr, RCR, Remuzzi, G, Renzaho, AMN, Reshmi, B, Resnikoff, S, Rezaei, N, Rezapour, A, Riahi, SM, Ribeiro, D, Rickard, J, Roever, L, Ronfani, L, Rothenbacher, D, Rubagotti, E, Rumisha, SF, Ryan, PM, Saddik, B, Sadeghi, E, Moghaddam, SS, Sagar, R, Sahebkar, A, Salahshoor, MR, Salehi, S, Salem, MR, Salimzadeh, H, Salomon, JA, Samodra, YL, Samy, AM, Sanabria, J, Santric-Milicevic, MM, Saraswathy, SYI, Sarker, AR, Sarrafzadegan, N, Sarveazad, A, Sathian, B, Sathish, T, Sattin, D, Saxena, S, Saya, GK, Saylan, M, Schiavolin, S, Schlaich, MP, Schwebel, DC, Schwendicke, F, Senthilkumaran, S, Sepanlou, SG, Servan-Mori, E, Sha, F, Shafaat, O, Shahabi, S, Shahbaz, M, Shaheen, AA, Shahid, I, Shaikh, MA, Shakiba, S, Shalash, AS, Shams-Beyranvand, M, Shannawaz, M, Sharafi, K, Sheikh, A, Sheikhbahaei, S, Shiferaw, WS, Shigematsu, M, Shin, JI, Shiri, R, Shiue, I, Shuval, K, Siddiqi, TJ, Sidemo, NB, Sigfusdottir, ID, Sigurvinsdottir, R, Silva, JP, Silverberg, JIS, Simonetti, B, Singh, BB, Singh, JA, Singhal, D, Sinha, DN, Skiadaresi, E, Skryabin, VY, Skryabina, AA, Sleet, DA, Sobaih, BH, Sobhiyeh, MR, Soltani, S, Soriano, JB, Spurlock, EE, Sreeramareddy, CT, Steiropoulos, P, Stokes, Mark, Stortecky, S, Sufiyan, MB, Abdulkader, RS, Sulo, G, Swope, CB, Sykes, BL, Szeto, MD, Szocska, M, Tabares-Seisdedos, R, Tadesse, EG, Taherkhani, A, Tamiru, AT, Tareque, MI, Tehrani-Banihashemi, A, Temsah, M-H, Tesfay, FH, Tessema, GA, Tessema, ZT, Thankappan, KR, Thapar, R, Tolani, MA, Tovani-Palone, MR, Traini, E, Bach, XT, Tripathy, JP, Tsapparellas, G, Tsatsakis, A, Car, LT, Uddin, Riaz, Ullah, A, Umeokonkwo, CD, Unim, B, Unnikrishnan, B, Upadhyay, E, Usman, MS, Vacante, M, Vaezi, M, Tahbaz, SV, Valdez, PR, Vasankari, TJ, Venketasubramanian, N, Verma, M, Violante, FS, Vlassov, V, Vo, B, Giang, TV, Wado, YD, Waheed, Y, Wamai, RG, Wang, Y, Wang, Y-P, Ward, P, Werdecker, A, Westerman, R, Wickramasinghe, ND, Wilner, LB, Wiysonge, CS, Wu, A-M, Wu, C, Xie, Y, Jabbari, SHY, Yamagishi, K, Yandrapalli, S, Yaya, S, Yazdi-Feyzabadi, V, Yip, P, Yonemoto, N, Yoon, S-J, Younis, MZ, Yousefi, Z, Yousefinezhadi, T, Yu, C, Yusuf, SS, Zaidi, SS, Bin Zaman, S, Zamani, M, Zamanian, M, Zastrozhin, MS, Zastrozhina, A, Zhang, Y, Zhang, Z-J, Zhao, X-JG, Ziapour, A, Hay, S, Murray, CJL, Wang, H, and Kassebaum, NJ
Published: 2021

5. Mapping child growth failure across low- and middle-income countries

Author: Kinyoki, DK, Osgood-Zimmerman, AE, Pickering, BV, Schaeffer, LE, Marczak, LB, Lazzar-Atwood, A, Collison, ML, Henry, NJ, Abebe, Z, Adamu, AA, Adekanmbi, V, Ahmadi, K, Ajumobi, O, Al-Eyadhy, A, Al-Raddadi, RM, Alahdab, F, Alijanzadeh, M, Alipour, V, Altirkawi, K, Amini, S, Andrei, CL, Antonio, CAT, Arabloo, J, Aremu, O, Asadi-Aliabadi, M, Atique, S, Ausloos, M, Avila, M, Awasthi, A, Quintanilla, BPA, Azari, S, Badawi, A, Barnighausen, TW, Bassat, Q, Baye, K, Bedi, N, Bekele, BB, Bell, ML, Bhattacharjee, NV, Bhattacharyya, K, Bhattarai, S, Bhutta, ZA, Biadgo, B, Bikbov, B, Briko, AN, Britton, G, Burstein, R, Butt, ZA, Car, J, Castaneda-Orjuela, CA, Castro, F, Cerin, E, Chipeta, MG, Chu, D-T, Cork, MA, Cromwell, EA, Cuevas-Nasu, L, Dandona, L, Dandona, R, Daoud, F, Das Gupta, R, Weaver, ND, De Leo, D, De Neve, J-W, Deribe, K, Desalegn, BB, Deshpande, A, Desta, M, Diaz, D, Dinberu, MT, Doku, DT, Dubey, M, Duraes, AR, Dwyer-Lindgren, L, Earl, L, Effiong, A, Zaki, MES, El Tantawi, M, El-Khatib, Z, Eshrati, B, Fareed, M, Faro, A, Fereshtehnejad, S-M, Filip, I, Fischer, F, Foigt, NA, Folayan, MO, Fukumoto, T, Gebrehiwot, TT, Gezae, KE, Ghajar, A, Gill, PS, Gona, PN, Gopalani, SV, Grada, A, Guo, Y, Haj-Mirzaian, A, Hall, JB, Hamidi, S, Henok, A, Prado, BH, Herrero, M, Herteliu, C, Hoang, CL, Hole, MK, Hossain, N, Hosseinzadeh, M, Hu, G, Islam, SMS, Jakovljevic, M, Jha, RP, Jonas, JB, Jozwiak, JJ, Kahsay, A, Kanchan, T, Karami, M, Kasaeian, A, Khader, YS, Khan, EA, Khater, MM, Kim, YJ, Kimokoti, RW, Kisa, A, Kochhar, S, Kosen, S, Koyanagi, A, Krishan, K, Defo, BK, Kumar, GA, Kumar, M, Lad, SD, Lami, FH, Lee, PH, Levine, AJ, Li, S, Linn, S, Lodha, R, Abd El Razek, HM, Abd El Razek, MM, Majdan, M, Majeed, A, Malekzadeh, R, Malta, DC, Mamun, AA, Mansournia, MA, Martins-Melo, FR, Masaka, A, Massenburg, BB, Mayala, BK, Mejia-Rodriguez, F, Melku, M, Mendoza, W, Mensah, GA, Miazgowski, T, Miller, TR, Mini, GK, Mirrakhimov, EM, Moazen, B, Darwesh, AM, Mohammed, S, Mohebi, F, Mokdad, AH, Moodley, Y, Moradi, G, Moradi-Lakeh, M, Moraga, P, Morrison, SD, Mosser, JF, Mousavi, SM, Mueller, UO, Murray, CJL, Mustafa, G, Naderi, M, Naghavi, M, Najafi, F, Nangia, V, Ndwandwe, DE, Negoi, I, Ngunjiri, JW, Nguyen, HLT, Nguyen, LH, Nguyen, SH, Nie, J, Nnaji, CA, Noubiap, JJ, Shiadeh, MN, Nyasulu, PS, Ogbo, FA, Olagunju, AT, Olusanya, BO, Olusanya, JO, Ortiz-Panozo, E, Otstavnov, SS, Mahesh, PA, Pana, A, Pandey, A, Pati, S, Patil, ST, Patton, GC, Perico, N, Pigott, DM, Pirsaheb, M, Piwoz, EG, Postma, MJ, Pourshams, A, Prakash, S, Quintana, H, Radfar, A, Rafiei, A, Rahimi-Movaghar, V, Rai, RK, Rajati, F, Rawaf, DL, Rawaf, S, Rawat, R, Remuzzi, G, Renzaho, AMN, Rios-Gonzalez, C, Roever, L, Ross, JM, Rostami, A, Sadat, N, Safari, Y, Safdarian, M, Sahebkar, A, Salam, N, Salamati, P, Salimi, Y, Salimzadeh, H, Samy, AM, Sartorius, B, Sathian, B, Schipp, MF, Schwebel, DC, Senbeta, AM, Sepanlou, SG, Shaikh, MA, Levy, TS, Shamsi, M, Sharafi, K, Sharma, R, Sheikh, A, Shil, A, Silva, DAS, Singh, JA, Sinha, DN, Soofi, M, Sudaryanto, A, Sufiyan, MB, Tabares-Seisdedos, R, Tadesse, BT, Temsah, M-H, Terkawi, AS, Tessema, ZT, Thorne-Lyman, AL, Tovani-Palone, MR, Tran, BX, Tran, KB, Ullah, I, Uthman, OA, Vaezghasemi, M, Vaezi, A, Valdez, PR, Vanderheide, J, Veisani, Y, Violante, FS, Vlassov, V, Vu, GT, Vu, LG, Waheed, Y, Walson, JL, Wang, Y, Wang, Y-P, Wangia, EN, Werdecker, A, Xu, G, Yamada, T, Yisma, E, Yonemoto, N, Younis, MZ, Yousefifard, M, Yu, C, Bin Zaman, S, Zamani, M, Zhang, Y, Kassebaum, NJ, Hay, SI, Kinyoki, DK, Osgood-Zimmerman, AE, Pickering, BV, Schaeffer, LE, Marczak, LB, Lazzar-Atwood, A, Collison, ML, Henry, NJ, Abebe, Z, Adamu, AA, Adekanmbi, V, Ahmadi, K, Ajumobi, O, Al-Eyadhy, A, Al-Raddadi, RM, Alahdab, F, Alijanzadeh, M, Alipour, V, Altirkawi, K, Amini, S, Andrei, CL, Antonio, CAT, Arabloo, J, Aremu, O, Asadi-Aliabadi, M, Atique, S, Ausloos, M, Avila, M, Awasthi, A, Quintanilla, BPA, Azari, S, Badawi, A, Barnighausen, TW, Bassat, Q, Baye, K, Bedi, N, Bekele, BB, Bell, ML, Bhattacharjee, NV, Bhattacharyya, K, Bhattarai, S, Bhutta, ZA, Biadgo, B, Bikbov, B, Briko, AN, Britton, G, Burstein, R, Butt, ZA, Car, J, Castaneda-Orjuela, CA, Castro, F, Cerin, E, Chipeta, MG, Chu, D-T, Cork, MA, Cromwell, EA, Cuevas-Nasu, L, Dandona, L, Dandona, R, Daoud, F, Das Gupta, R, Weaver, ND, De Leo, D, De Neve, J-W, Deribe, K, Desalegn, BB, Deshpande, A, Desta, M, Diaz, D, Dinberu, MT, Doku, DT, Dubey, M, Duraes, AR, Dwyer-Lindgren, L, Earl, L, Effiong, A, Zaki, MES, El Tantawi, M, El-Khatib, Z, Eshrati, B, Fareed, M, Faro, A, Fereshtehnejad, S-M, Filip, I, Fischer, F, Foigt, NA, Folayan, MO, Fukumoto, T, Gebrehiwot, TT, Gezae, KE, Ghajar, A, Gill, PS, Gona, PN, Gopalani, SV, Grada, A, Guo, Y, Haj-Mirzaian, A, Hall, JB, Hamidi, S, Henok, A, Prado, BH, Herrero, M, Herteliu, C, Hoang, CL, Hole, MK, Hossain, N, Hosseinzadeh, M, Hu, G, Islam, SMS, Jakovljevic, M, Jha, RP, Jonas, JB, Jozwiak, JJ, Kahsay, A, Kanchan, T, Karami, M, Kasaeian, A, Khader, YS, Khan, EA, Khater, MM, Kim, YJ, Kimokoti, RW, Kisa, A, Kochhar, S, Kosen, S, Koyanagi, A, Krishan, K, Defo, BK, Kumar, GA, Kumar, M, Lad, SD, Lami, FH, Lee, PH, Levine, AJ, Li, S, Linn, S, Lodha, R, Abd El Razek, HM, Abd El Razek, MM, Majdan, M, Majeed, A, Malekzadeh, R, Malta, DC, Mamun, AA, Mansournia, MA, Martins-Melo, FR, Masaka, A, Massenburg, BB, Mayala, BK, Mejia-Rodriguez, F, Melku, M, Mendoza, W, Mensah, GA, Miazgowski, T, Miller, TR, Mini, GK, Mirrakhimov, EM, Moazen, B, Darwesh, AM, Mohammed, S, Mohebi, F, Mokdad, AH, Moodley, Y, Moradi, G, Moradi-Lakeh, M, Moraga, P, Morrison, SD, Mosser, JF, Mousavi, SM, Mueller, UO, Murray, CJL, Mustafa, G, Naderi, M, Naghavi, M, Najafi, F, Nangia, V, Ndwandwe, DE, Negoi, I, Ngunjiri, JW, Nguyen, HLT, Nguyen, LH, Nguyen, SH, Nie, J, Nnaji, CA, Noubiap, JJ, Shiadeh, MN, Nyasulu, PS, Ogbo, FA, Olagunju, AT, Olusanya, BO, Olusanya, JO, Ortiz-Panozo, E, Otstavnov, SS, Mahesh, PA, Pana, A, Pandey, A, Pati, S, Patil, ST, Patton, GC, Perico, N, Pigott, DM, Pirsaheb, M, Piwoz, EG, Postma, MJ, Pourshams, A, Prakash, S, Quintana, H, Radfar, A, Rafiei, A, Rahimi-Movaghar, V, Rai, RK, Rajati, F, Rawaf, DL, Rawaf, S, Rawat, R, Remuzzi, G, Renzaho, AMN, Rios-Gonzalez, C, Roever, L, Ross, JM, Rostami, A, Sadat, N, Safari, Y, Safdarian, M, Sahebkar, A, Salam, N, Salamati, P, Salimi, Y, Salimzadeh, H, Samy, AM, Sartorius, B, Sathian, B, Schipp, MF, Schwebel, DC, Senbeta, AM, Sepanlou, SG, Shaikh, MA, Levy, TS, Shamsi, M, Sharafi, K, Sharma, R, Sheikh, A, Shil, A, Silva, DAS, Singh, JA, Sinha, DN, Soofi, M, Sudaryanto, A, Sufiyan, MB, Tabares-Seisdedos, R, Tadesse, BT, Temsah, M-H, Terkawi, AS, Tessema, ZT, Thorne-Lyman, AL, Tovani-Palone, MR, Tran, BX, Tran, KB, Ullah, I, Uthman, OA, Vaezghasemi, M, Vaezi, A, Valdez, PR, Vanderheide, J, Veisani, Y, Violante, FS, Vlassov, V, Vu, GT, Vu, LG, Waheed, Y, Walson, JL, Wang, Y, Wang, Y-P, Wangia, EN, Werdecker, A, Xu, G, Yamada, T, Yisma, E, Yonemoto, N, Younis, MZ, Yousefifard, M, Yu, C, Bin Zaman, S, Zamani, M, Zhang, Y, Kassebaum, NJ, and Hay, SI
Abstract: Childhood malnutrition is associated with high morbidity and mortality globally1. Undernourished children are more likely to experience cognitive, physical, and metabolic developmental impairments that can lead to later cardiovascular disease, reduced intellectual ability and school attainment, and reduced economic productivity in adulthood2. Child growth failure (CGF), expressed as stunting, wasting, and underweight in children under five years of age (0-59 months), is a specific subset of undernutrition characterized by insufficient height or weight against age-specific growth reference standards3-5. The prevalence of stunting, wasting, or underweight in children under five is the proportion of children with a height-for-age, weight-for-height, or weight-for-age z-score, respectively, that is more than two standard deviations below the World Health Organization's median growth reference standards for a healthy population6. Subnational estimates of CGF report substantial heterogeneity within countries, but are available primarily at the first administrative level (for example, states or provinces)7; the uneven geographical distribution of CGF has motivated further calls for assessments that can match the local scale of many public health programmes8. Building from our previous work mapping CGF in Africa9, here we provide the first, to our knowledge, mapped high-spatial-resolution estimates of CGF indicators from 2000 to 2017 across 105 low- and middle-income countries (LMICs), where 99% of affected children live1, aggregated to policy-relevant first and second (for example, districts or counties) administrative-level units and national levels. Despite remarkable declines over the study period, many LMICs remain far from the ambitious World Health Organization Global Nutrition Targets to reduce stunting by 40% and wasting to less than 5% by 2025. Large disparities in prevalence and progress exist across and within countries; our maps identify high-prevalence areas e
Published: 2020

6. Mapping disparities in education across low- and middle-income countries

Author: Graetz, N, Woyczynski, L, Wilson, KF, Hall, JB, Abate, KH, Abd-Allah, F, Adebayo, OM, Adekanmbi, V, Afshari, M, Ajumobi, O, Akinyemiju, T, Alahdab, F, Al-Aly, Z, Alcalde Rabanal, JE, Alijanzadeh, M, Alipour, V, Altirkawi, K, Amiresmaili, M, Anber, NH, Andrei, CL, Anjomshoa, M, Antonio, CAT, Arabloo, J, Aremu, O, Aryal, KK, Asadi-Aliabadi, M, Atique, S, Ausloos, M, Awasthi, A, Ayala Quintanilla, BP, Azari, S, Badawi, A, Banoub, JAM, Barker-Collo, SL, Barnett, A, Bedi, N, Bennett, DA, Bhattacharjee, NV, Bhattacharyya, K, Bhattarai, S, Bhutta, ZA, Bijani, A, Bikbov, B, Britton, G, Burstein, R, Butt, ZA, Cardenas, R, Carvalho, F, Castaneda-Orjuela, CA, Castro, F, Cerin, E, Chang, J-C, Collison, ML, Cooper, C, Cork, MA, Daoud, F, Das Gupta, R, Weaver, ND, De Neve, J-W, Deribe, K, Desalegn, BB, Deshpande, A, Desta, M, Dhimal, M, Diaz, D, Dinberu, MT, Djalalinia, S, Dubey, M, Dubljanin, E, Duraes, AR, Dwyer-Lindgren, L, Earl, L, Kalan, ME, El-Khatib, Z, Eshrati, B, Faramarzi, M, Fareed, M, Faro, A, Fereshtehnejad, S-M, Fernandes, E, Filip, I, Fischer, F, Fukumoto, T, Garcia, JA, Gill, PS, Gill, TK, Gona, PN, Gopalani, SV, Grada, A, Guo, Y, Gupta, R, Gupta, V, Haj-Mirzaian, A, Hamadeh, RR, Hamidi, S, Hasan, M, Hassen, HY, Hendrie, D, Henok, A, Henry, NJ, Hernandez Prado, B, Herteliu, C, Hole, MK, Hossain, N, Hosseinzadeh, M, Hu, G, Ilesanmi, OS, Irvani, SSN, Islam, SMS, Izadi, N, Jakovljevic, M, Jha, RP, Ji, JS, Jonas, JB, Shushtari, ZJ, Jozwiak, JJ, Kanchan, T, Kasaeian, A, Karyani, AK, Keiyoro, PN, Kesavachandran, CN, Khader, YS, Khafaie, MA, Khan, EA, Khater, MM, Kiadaliri, AA, Kiirithio, DN, Kim, YJ, Kimokoti, RW, Kinyoki, DK, Kisa, A, Kosen, S, Koyanagi, A, Krishan, K, Defo, BK, Kumar, M, Kumar, P, Lami, FH, Lee, PH, Levine, AJ, Li, S, Liao, Y, Lim, L-L, Listl, S, Lopez, JCF, Majdan, M, Majdzadeh, R, Majeed, A, Malekzadeh, R, Mansournia, MA, Martins-Melo, FR, Masaka, A, Massenburg, BB, Mayala, BK, Mehta, KM, Mendoza, W, Mensah, GA, Meretoja, TJ, Mestrovic, T, Miller, TR, Mini, GK, Mirrakhimov, EM, Moazen, B, Mohammad, DK, Darwesh, AM, Mohammed, S, Mohebi, F, Mokdad, AH, Monasta, L, Moodley, Y, Moosazadeh, M, Moradi, G, Moradi-Lakeh, M, Moraga, P, Morawska, L, Morrison, SD, Mosser, JF, Mousavi, SM, Murray, CJL, Mustafa, G, Nahvijou, A, Najafi, F, Nangia, V, Ndwandwe, DE, Negoi, I, Negoi, RI, Ngunjiri, JW, Cuong, TN, Long, HN, Ningrum, DNA, Noubiap, JJ, Shiadeh, MN, Nyasulu, PS, Ogbo, FA, Olagunju, AT, Olusanya, BO, Olusanya, JO, Onwujekwe, OE, Ortega-Altamirano, DDV, Ortiz-Panozo, E, Overland, S, Mahesh, PA, Pana, A, Panda-Jonas, S, Pati, S, Patton, GC, Perico, N, Pigott, DM, Pirsaheb, M, Postma, MJ, Pourshams, A, Prakash, S, Puri, P, Qorbani, M, Radfar, A, Rahim, F, Rahimi-Movaghar, V, Rahman, MHU, Rajati, F, Ranabhat, CL, Rawaf, DL, Rawaf, S, Reiner, RC, Remuzzi, G, Renzaho, AMN, Rezaei, S, Rezapour, A, Rios-Gonzalez, C, Roever, L, Ronfani, L, Roshandel, G, Rostami, A, Rubagotti, E, Sadat, N, Sadeghi, E, Safari, Y, Sagar, R, Salam, N, Salamati, P, Salimi, Y, Salimzadeh, H, Samy, AM, Sanabria, J, Milicevic, MMS, Sartorius, B, Sathian, B, Sawant, AR, Schaeffer, LE, Schipp, MF, Schwebel, DC, Senbeta, AM, Sepanlou, SG, Shaikh, MA, Shams-Beyranvand, M, Shamsizadeh, M, Sharafi, K, Sharma, R, She, J, Sheikh, A, Shigematsu, M, Siabani, S, Silveira, DGA, Singh, JA, Sinha, DN, Skirbekk, V, Sligar, A, Sobaih, BH, Soofi, M, Soriano, JB, Soyiri, IN, Sreeramareddy, CT, Sudaryanto, A, Sufiyan, MB, Sutradhar, I, Sylaja, P, Tabares-Seisdedos, R, Tadesse, BT, Temsah, M-H, Terkawi, AS, Tessema, B, Tessema, ZT, Thankappan, KR, Topor-Madry, R, Tovani-Palone, MR, Tran, BX, Car, LT, Ullah, I, Uthman, OA, Valdez, PR, Veisani, Y, Violante, FS, Vlassov, V, Vollmer, S, Vu, GT, Waheed, Y, Wang, Y-P, Wilkinson, JC, Winkler, AS, Wolfe, CDA, Yamada, T, Yeshaneh, A, Yip, P, Yisma, E, Yonemoto, N, Younis, MZ, Yousefifard, M, Yu, C, Bin Zaman, S, Zhang, J, Zhang, Y, Zodpey, S, Gakidou, E, Hay, SI, Graetz, N, Woyczynski, L, Wilson, KF, Hall, JB, Abate, KH, Abd-Allah, F, Adebayo, OM, Adekanmbi, V, Afshari, M, Ajumobi, O, Akinyemiju, T, Alahdab, F, Al-Aly, Z, Alcalde Rabanal, JE, Alijanzadeh, M, Alipour, V, Altirkawi, K, Amiresmaili, M, Anber, NH, Andrei, CL, Anjomshoa, M, Antonio, CAT, Arabloo, J, Aremu, O, Aryal, KK, Asadi-Aliabadi, M, Atique, S, Ausloos, M, Awasthi, A, Ayala Quintanilla, BP, Azari, S, Badawi, A, Banoub, JAM, Barker-Collo, SL, Barnett, A, Bedi, N, Bennett, DA, Bhattacharjee, NV, Bhattacharyya, K, Bhattarai, S, Bhutta, ZA, Bijani, A, Bikbov, B, Britton, G, Burstein, R, Butt, ZA, Cardenas, R, Carvalho, F, Castaneda-Orjuela, CA, Castro, F, Cerin, E, Chang, J-C, Collison, ML, Cooper, C, Cork, MA, Daoud, F, Das Gupta, R, Weaver, ND, De Neve, J-W, Deribe, K, Desalegn, BB, Deshpande, A, Desta, M, Dhimal, M, Diaz, D, Dinberu, MT, Djalalinia, S, Dubey, M, Dubljanin, E, Duraes, AR, Dwyer-Lindgren, L, Earl, L, Kalan, ME, El-Khatib, Z, Eshrati, B, Faramarzi, M, Fareed, M, Faro, A, Fereshtehnejad, S-M, Fernandes, E, Filip, I, Fischer, F, Fukumoto, T, Garcia, JA, Gill, PS, Gill, TK, Gona, PN, Gopalani, SV, Grada, A, Guo, Y, Gupta, R, Gupta, V, Haj-Mirzaian, A, Hamadeh, RR, Hamidi, S, Hasan, M, Hassen, HY, Hendrie, D, Henok, A, Henry, NJ, Hernandez Prado, B, Herteliu, C, Hole, MK, Hossain, N, Hosseinzadeh, M, Hu, G, Ilesanmi, OS, Irvani, SSN, Islam, SMS, Izadi, N, Jakovljevic, M, Jha, RP, Ji, JS, Jonas, JB, Shushtari, ZJ, Jozwiak, JJ, Kanchan, T, Kasaeian, A, Karyani, AK, Keiyoro, PN, Kesavachandran, CN, Khader, YS, Khafaie, MA, Khan, EA, Khater, MM, Kiadaliri, AA, Kiirithio, DN, Kim, YJ, Kimokoti, RW, Kinyoki, DK, Kisa, A, Kosen, S, Koyanagi, A, Krishan, K, Defo, BK, Kumar, M, Kumar, P, Lami, FH, Lee, PH, Levine, AJ, Li, S, Liao, Y, Lim, L-L, Listl, S, Lopez, JCF, Majdan, M, Majdzadeh, R, Majeed, A, Malekzadeh, R, Mansournia, MA, Martins-Melo, FR, Masaka, A, Massenburg, BB, Mayala, BK, Mehta, KM, Mendoza, W, Mensah, GA, Meretoja, TJ, Mestrovic, T, Miller, TR, Mini, GK, Mirrakhimov, EM, Moazen, B, Mohammad, DK, Darwesh, AM, Mohammed, S, Mohebi, F, Mokdad, AH, Monasta, L, Moodley, Y, Moosazadeh, M, Moradi, G, Moradi-Lakeh, M, Moraga, P, Morawska, L, Morrison, SD, Mosser, JF, Mousavi, SM, Murray, CJL, Mustafa, G, Nahvijou, A, Najafi, F, Nangia, V, Ndwandwe, DE, Negoi, I, Negoi, RI, Ngunjiri, JW, Cuong, TN, Long, HN, Ningrum, DNA, Noubiap, JJ, Shiadeh, MN, Nyasulu, PS, Ogbo, FA, Olagunju, AT, Olusanya, BO, Olusanya, JO, Onwujekwe, OE, Ortega-Altamirano, DDV, Ortiz-Panozo, E, Overland, S, Mahesh, PA, Pana, A, Panda-Jonas, S, Pati, S, Patton, GC, Perico, N, Pigott, DM, Pirsaheb, M, Postma, MJ, Pourshams, A, Prakash, S, Puri, P, Qorbani, M, Radfar, A, Rahim, F, Rahimi-Movaghar, V, Rahman, MHU, Rajati, F, Ranabhat, CL, Rawaf, DL, Rawaf, S, Reiner, RC, Remuzzi, G, Renzaho, AMN, Rezaei, S, Rezapour, A, Rios-Gonzalez, C, Roever, L, Ronfani, L, Roshandel, G, Rostami, A, Rubagotti, E, Sadat, N, Sadeghi, E, Safari, Y, Sagar, R, Salam, N, Salamati, P, Salimi, Y, Salimzadeh, H, Samy, AM, Sanabria, J, Milicevic, MMS, Sartorius, B, Sathian, B, Sawant, AR, Schaeffer, LE, Schipp, MF, Schwebel, DC, Senbeta, AM, Sepanlou, SG, Shaikh, MA, Shams-Beyranvand, M, Shamsizadeh, M, Sharafi, K, Sharma, R, She, J, Sheikh, A, Shigematsu, M, Siabani, S, Silveira, DGA, Singh, JA, Sinha, DN, Skirbekk, V, Sligar, A, Sobaih, BH, Soofi, M, Soriano, JB, Soyiri, IN, Sreeramareddy, CT, Sudaryanto, A, Sufiyan, MB, Sutradhar, I, Sylaja, P, Tabares-Seisdedos, R, Tadesse, BT, Temsah, M-H, Terkawi, AS, Tessema, B, Tessema, ZT, Thankappan, KR, Topor-Madry, R, Tovani-Palone, MR, Tran, BX, Car, LT, Ullah, I, Uthman, OA, Valdez, PR, Veisani, Y, Violante, FS, Vlassov, V, Vollmer, S, Vu, GT, Waheed, Y, Wang, Y-P, Wilkinson, JC, Winkler, AS, Wolfe, CDA, Yamada, T, Yeshaneh, A, Yip, P, Yisma, E, Yonemoto, N, Younis, MZ, Yousefifard, M, Yu, C, Bin Zaman, S, Zhang, J, Zhang, Y, Zodpey, S, Gakidou, E, and Hay, SI
Abstract: Educational attainment is an important social determinant of maternal, newborn, and child health1-3. As a tool for promoting gender equity, it has gained increasing traction in popular media, international aid strategies, and global agenda-setting4-6. The global health agenda is increasingly focused on evidence of precision public health, which illustrates the subnational distribution of disease and illness7,8; however, an agenda focused on future equity must integrate comparable evidence on the distribution of social determinants of health9-11. Here we expand on the available precision SDG evidence by estimating the subnational distribution of educational attainment, including the proportions of individuals who have completed key levels of schooling, across all low- and middle-income countries from 2000 to 2017. Previous analyses have focused on geographical disparities in average attainment across Africa or for specific countries, but-to our knowledge-no analysis has examined the subnational proportions of individuals who completed specific levels of education across all low- and middle-income countries12-14. By geolocating subnational data for more than 184 million person-years across 528 data sources, we precisely identify inequalities across geography as well as within populations.
Published: 2020

7. Global, regional, and national disability-adjusted life-years (DALYs) for 359 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017

Author: Kyu, Hh, Abate, D, Abate, Kh, Abay, Sm, Abbafati, C, Abbasi, N, Abbastabar, H, Abd-Allah, F, Abdela, J, Abdelalim, A, Abdollahpour, I, Abdulkader, Rs, Abebe, M, Abebe, Z, Abil, Oz, Aboyans, V, Abrham, Ar, Abu-Raddad, Lj, Abu-Rmeileh, Nme, Accrombessi, Mmk, Acharya, D, Acharya, P, Ackerman, In, Adamu, Aa, Adebayo, Om, Adekanmbi, V, Ademi, Z, Adetokunboh, Oo, Adib, Mg, Adsuar, Jc, Afanvi, Ka, Afarideh, M, Afshin, A, Agarwal, G, Agesa, Km, Aggarwal, R, Aghayan, Sa, Agrawal, A, Ahmadi, A, Ahmadi, M, Ahmadieh, H, Ahmed, Mb, Ahmed, S, Aichour, An, Aichour, I, Aichour, Mte, Akinyemiju, T, Akseer, N, Al-Aly, Z, Al-Eyadhy, A, Al-Mekhlafi, Hm, Al-Raddadi, Rm, Alahdab, F, Alam, K, Alam, T, Alashi, A, Alavian, Sm, Alene, Ka, Alijanzadeh, M, Alizadeh-Navaei, R, Aljunid, Sm, Alkerwi, A, Alla, F, Allebeck, P, Alonso, J, Alsharif, U, Altirkawi, K, Alvis-Guzman, N, Aminde, Ln, Amini, E, Amiresmaili, M, Ammar, W, Amoako, Ya, Anber, Nh, Andrei, Cl, Androudi, S, Animut, Md, Anjomshoa, M, Ansha, Mg, Antonio, Cat, Anwari, P, Arabloo, J, Aremu, O, Ärnlöv, J, Arora, A, Arora, M, Artaman, A, Aryal, Kk, Asayesh, H, Ataro, Z, Ausloos, M, Avila-Burgos, L, Avokpaho, Efga, Awasthi, A, Ayala, Quintanilla, Ayer, R, Azzopardi, Ps, Babazadeh, A, Badali, H, Balakrishnan, K, Bali, Ag, Banach, M, Banoub, Jam, Barac, A, Barboza, Ma, Barker-Collo, Sl, Bärnighausen, Tw, Barquera, S, Barrero, Lh, Bazargan-Hejazi, S, Bedi, N, Beghi, E, Behzadifar, M, Bekele, Bb, Bekru, Et, Belachew, Ab, Belay, Ya, Bell, Ml, Bello, Ak, Bennett, Da, Bensenor, Im, Berhane, A, Bernabe, E, Bernstein, Rs, Beuran, M, Beyranvand, T, Bhala, N, Bhatt, S, Bhaumik, S, Bhutta, Za, Biadgo, B, Biehl, Mh, Bijani, A, Bikbov, B, Bilano, V, Bililign, N, Bin, Sayeed, Bisanzio, D, Bjørge, T, Bleyer, A, Bobasa, Em, Bou-Orm, Ir, Boufous, S, Bourne, R, Brady, Oj, Brant, Lc, Brayne, C, Brazinova, A, Breitborde, Njk, Brenner, H, Briant, Ps, Briko, An, Britton, G, Brugha, T, Buchbinder, R, Busse, R, Butt, Za, Cahuana-Hurtado, L, Campuzano, Rincon, Cano, J, Cárdenas, R, Carrero, Jj, Carter, A, Carvalho, F, Castañeda-Orjuela, Ca, Castillo, Rivas, J, Castro, F, Catalá-López, F, Cercy, Km, Cerin, E, Chaiah, Y, Chang, Jc, Charlson, Fj, Chattu, Vk, Chiang, Pp, Chitheer, A, Choi, Jj, Christensen, H, Christopher, Dj, Chung, Sc, Cicuttini, Fm, Cirillo, Massimo, Collado-Mateo, D, Cooper, C, Cortesi, Pa, Cortinovis, M, Cousin, E, Criqui, Mh, Cromwell, Ea, Cross, M, Crump, Ja, Daba, Ak, Dachew, Ba, Dadi, Af, Dandona, L, Dandona, R, Dargan, Pi, Daryani, A, Das, Gupta, Das, R, Neves, J, Dasa, Tt, Davitoiu, Dv, De, La, Hoz, Fp, Leo, De, D, De, Neve, Jw, Steur, De, H, Degefa, Mg, Degenhardt, L, Deiparine, S, Demoz, Gt, Denova-Gutiérrez, E, Deribe, K, Dervenis, N, Des, Jarlais, Dey, S, Dharmaratne, Sd, Dhimal, M, Dinberu, Mt, Dirac, Ma, Djalalinia, S, Doan, L, Dokova, K, Doku, Dt, Dorsey, Er, Doyle, Ke, Driscoll, Tr, Dubey, M, Dubljanin, E, Duken, Ee, Duncan, Bb, Duraes, Ar, Ebrahimi, H, Ebrahimpour, S, Echko, Mm, Edessa, D, Edvardsson, D, Effiong, A, Eggen, Ae, Ehrlich, Jr, Bcheraoui, El, C, El-Khatib, Z, Elyazar, Irf, Enayati, A, Endalifer, Ml, Endries, Ay, Er, B, Erskine, He, Eskandarieh, S, Esteghamati, A, Esteghamati, S, Fakhim, H, Faramarzi, M, Fareed, M, Farhadi, F, Farid, Ta, Farinha, Cses, Farioli, A, Faro, A, Farzadfar, F, Fazaeli, Aa, Feigin, Vl, Fentahun, N, Fereshtehnejad, Sm, Fernandes, E, Fernandes, Jc, Ferrari, Aj, Ferreira, Ml, Filip, I, Fischer, F, Fitzmaurice, C, Foigt, Na, Foreman, Kj, Frank, Td, Fukumoto, T, Fullman, N, Fürst, T, Furtado, Jm, Gakidou, E, Gall, S, Gallus, S, Ganji, M, Garcia-Basteiro, Al, Gardner, Wm, Gebre, Ak, Gebremedhin, At, Gebremichael, Tg, Gelano, Tf, Geleijnse, Jm, Genova-Maleras, R, Geramo, Ycd, Gething, Pw, Gezae, Ke, Ghadami, Mr, Ghadiri, K, Ghasemi-Kasman, M, Ghimire, M, Ghoshal, Ag, Gill, Ps, Gill, Tk, Ginawi, Ia, Giussani, G, Gnedovskaya, Ev, Goldberg, Em, Goli, S, Gómez-Dantés, H, Gona, Pn, Gopalani, Sv, Gorman, Tm, Goulart, Ac, Goulart, Bng, Grada, A, Grosso, G, Gugnani, Hc, Guillemin, F, Guo, Y, Gupta, Pc, Gupta, R, Gupta, T, Gutiérrez, Ra, Gyawali, B, Haagsma, Ja, Hachinski, V, Hafezi-Nejad, N, Haghparast, Bidgoli, Hagos, Tb, Hailegiyorgis, Tt, Haj-Mirzaian, A, Hamadeh, Rr, Hamidi, S, Handal, Aj, Hankey, Gj, Hao, Y, Harb, Hl, Harikrishnan, S, Haririan, H, Haro, Jm, Hassankhani, H, Hassen, Hy, Havmoeller, R, Hay, Rj, Hay, Si, Hedayatizadeh-Omran, A, Heibati, B, Hendrie, D, Henok, A, Heredia-Pi, I, Herteliu, C, Heydarpour, F, Heydarpour, P, Hibstu, Dt, Hoek, Hw, Hoffman, Hj, Hole, Mk, Homaie, Rad, E, Hoogar, P, Hosgood, Hd, Hosseini, Sm, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Hotez, Pj, Hoy, Dg, Hsairi, M, Htet, As, Huang, Jj, Iburg, Km, Ikeda, Ct, Ilesanmi, Os, Irvani, Ssn, Irvine, Cms, Islam, Sms, Islami, F, Jacobsen, Kh, Jahangiry, L, Jahanmehr, N, Jain, Sk, Jakovljevic, M, James, Sl, Jayatilleke, Au, Jeemon, P, Jha, Rp, Jha, V, Js, Ji, Johnson, Co, Jonas, Jb, Jonnagaddala, J, Jorjoran, Shushtari, Z, Joshi, A, Jozwiak, Jj, Jungari, Sb, Jürisson, M, Kabir, Z, Kadel, R, Kahsay, A, Kalani, R, Kanchan, T, Kar, C, Karami, M, Karami, Matin, B, Karch, A, Karema, C, Karimi, N, Karimi, Sm, Kasaeian, A, Kassa, Dh, Kassa, Gm, Kassa, Td, Kassebaum, Nj, Katikireddi, Sv, Kaul, A, Kawakami, N, Kazemi, Z, Karyani, Ak, Keighobadi, Mm, Keiyoro, Pn, Kemmer, L, Kemp, Gr, Kengne, Ap, Keren, A, Khader, Ys, Khafaei, B, Khafaie, Ma, Khajavi, A, Khalid, N, Khalil, Ia, Khan, Ea, Khan, Ms, Khan, Ma, Khang, Yh, Khater, Mm, Khazaei, M, Khoja, At, Khosravi, A, Khosravi, Mh, Kiadaliri, Aa, Kidanemariam, Zt, Kiirithio, Dn, Kim, Ci, Kim, D, Kim, Ye, Kim, Yj, Kimokoti, Rw, Kinfu, Y, Kisa, A, Kissimova-Skarbek, K, Knudsen, Aks, Kocarnik, Jm, Kochhar, S, Kokubo, Y, Kolola, T, Kopec, Ja, Kosen, S, Kotsakis, Ga, Koul, Pa, Koyanagi, A, Krishan, K, Krishnaswami, S, Krohn, Kj, Kuate, Defo, Kucuk, B, Bicer, B, Kumar, Ga, Kumar, M, Kuzin, I, Lad, Dp, Lad, Sd, Lafranconi, A, Lalloo, R, Lallukka, T, Lami, Fh, Lang, Jj, Langan, Sm, Lansingh, Vc, Latifi, A, Lau, Km, Lazarus, Jv, Leasher, Jl, Ledesma, Jr, Lee, Ph, Leigh, J, Leili, M, Leshargie, Ct, Leung, J, Levi, M, Lewycka, S, Li, S, Li, Y, Liang, X, Liao, Y, Liben, Ml, Lim, Ll, Lim, Ss, Limenih, Ma, Linn, S, Liu, S, Looker, Kj, Lopez, Ad, Lorkowski, S, Lotufo, Pa, Lozano, R, Lucas, Tcd, Lunevicius, R, Lyons, Ra, Ma, S, Macarayan, Erk, Mackay, Mt, Maddison, Er, Madotto, F, Maghavani, Dp, Mai, Ht, Majdan, M, Majdzadeh, R, Majeed, A, Malekzadeh, R, Malta, Dc, Mamun, Aa, Manda, Al, Manguerra, H, Mansournia, Ma, Mantilla, Herrera, Mantovani, Lg, Maravilla, Jc, Marcenes, W, Marks, A, Martins-Melo, Fr, Martopullo, I, März, W, Marzan, Mb, Massano, J, Massenburg, Bb, Mathur, Mr, Maulik, Pk, Mazidi, M, Mcalinden, C, Mcgrath, Jj, Mckee, M, Mcmahon, Bj, Mehata, S, Mehrotra, R, Mehta, Km, Mehta, V, Mejia-Rodriguez, F, Mekonen, T, Melese, A, Melku, M, Memiah, Ptn, Memish, Za, Mendoza, W, Mengistu, G, Mensah, Ga, Mereta, St, Meretoja, A, Meretoja, Tj, Mestrovic, T, Miazgowski, B, Miazgowski, T, Millear, 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Hosgood, H Dean, Hosseini, Seyed Mostafa, Hosseinzadeh, Mehdi, Hostiuc, Mihaela, Hostiuc, Sorin, Hotez, Peter J, Hoy, Damian G, Hsairi, Mohamed, Htet, Aung Soe, Huang, John J, Iburg, Kim Moesgaard, Ikeda, Chad Thoma, Ilesanmi, Olayinka Stephen, Irvani, Seyed Sina Naghibi, Irvine, Caleb Mackay Salpeter, Islam, Sheikh Mohammed Shariful, Islami, Farhad, Jacobsen, Kathryn H, Jahangiry, Leila, Jahanmehr, Nader, Jain, Sudhir Kumar, Jakovljevic, Mihajlo, James, Spencer L, Jayatilleke, Achala Upendra, Jeemon, Panniyammakal, Jha, Ravi Prakash, Jha, Vivekanand, Ji, John S, Johnson, Catherine O, Jonas, Jost B, Jonnagaddala, Jitendra, Jorjoran Shushtari, Zahra, Joshi, Ankur, Jozwiak, Jacek Jerzy, Jungari, Suresh Banayya, Jürisson, Mikk, Kabir, Zubair, Kadel, Rajendra, Kahsay, Amaha, Kalani, Rizwan, Kanchan, Tanuj, Kar, Chittaranjan, Karami, Manoochehr, Karami Matin, Behzad, Karch, André, Karema, Corine, Karimi, Narge, Karimi, Seyed M, Kasaeian, Amir, Kassa, Dessalegn H, Kassa, Getachew Mullu, Kassa, Tesfaye Dessale, Kassebaum, Nicholas J, Katikireddi, Srinivasa Vittal, Kaul, Anil, Kawakami, Norito, Kazemi, Zhila, Karyani, Ali Kazemi, Keighobadi, Masoud Masoud, Keiyoro, Peter Njenga, Kemmer, Laura, Kemp, Grant Rodger, Kengne, Andre Pascal, Keren, Andre, Khader, Yousef Saleh, Khafaei, Behzad, Khafaie, Morteza Abdullatif, Khajavi, Alireza, Khalid, Nauman, Khalil, Ibrahim A, Khan, Ejaz Ahmad, Khan, Muhammad Shahzeb, Khan, Muhammad Ali, Khang, Young-Ho, Khater, Mona M, Khazaei, Mohammad, Khoja, Abdullah T, Khosravi, Ardeshir, Khosravi, Mohammad Hossein, Kiadaliri, Aliasghar A, Kidanemariam, Zelalem Teklemariam, Kiirithio, Daniel N, Kim, Cho-Il, Kim, Daniel, Kim, Young-Eun, Kim, Yun Jin, Kimokoti, Ruth W, Kinfu, Yohanne, Kisa, Adnan, Kissimova-Skarbek, Katarzyna, Knudsen, Ann Kristin Skrindo, Kocarnik, Jonathan M, Kochhar, Sonali, Kokubo, Yoshihiro, Kolola, Tufa, Kopec, Jacek A, Kosen, Soewarta, Kotsakis, Georgios A, Koul, Parvaiz A, Koyanagi, Ai, Krishan, Kewal, Krishnaswami, Sanjay, Krohn, Kristopher J, Kuate Defo, Barthelemy, Kucuk Bicer, Burcu, Kumar, G Anil, Kumar, Manasi, Kuzin, Igor, Lad, Deepesh P, Lad, Sheetal D, Lafranconi, Alessandra, Lalloo, Ratilal, Lallukka, Tea, Lami, Faris Hasan, Lang, Justin J, Langan, Sinéad M, Lansingh, Van C, Latifi, Arman, Lau, Kathryn Mei-Ming, Lazarus, Jeffrey V, Leasher, Janet L, Ledesma, Jorge R, Lee, Paul H, Leigh, Jame, Leili, Mostafa, Leshargie, Cheru Tesema, Leung, Janni, Levi, Miriam, Lewycka, Sonia, Li, Shanshan, Li, Yichong, Liang, Xiaofeng, Liao, Yu, Liben, Misgan Legesse, Lim, Lee-Ling, Lim, Stephen S, Limenih, Miteku Andualem, Linn, Shai, Liu, Shiwei, Looker, Katharine J, Lopez, Alan D, Lorkowski, Stefan, Lotufo, Paulo A, Lozano, Rafael, Lucas, Tim C D, Lunevicius, Raimunda, Lyons, Ronan A, Ma, Stefan, Macarayan, Erlyn Rachelle King, Mackay, Mark T, Maddison, Emilie R, Madotto, Fabiana, Maghavani, Dhaval P, Mai, Hue Thi, Majdan, Marek, Majdzadeh, Reza, Majeed, Azeem, Malekzadeh, Reza, Malta, Deborah Carvalho, Mamun, Abdullah A, Manda, Ana-Laura, Manguerra, Helena, Mansournia, Mohammad Ali, Mantilla Herrera, Ana Maria, Mantovani, Lorenzo Giovanni, Maravilla, Joemer C, Marcenes, Wagner, Marks, Ashley, Martins-Melo, Francisco Rogerlândio, Martopullo, Ira, März, Winfried, Marzan, Melvin B, Massano, João, Massenburg, Benjamin Ballard, Mathur, Manu Raj, Maulik, Pallab K, Mazidi, Mohsen, McAlinden, Colm, McGrath, John J, McKee, Martin, McMahon, Brian J, Mehata, Suresh, Mehrotra, Ravi, Mehta, Kala M, Mehta, Varshil, Mejia-Rodriguez, Fabiola, Mekonen, Tesfa, Melese, Addisu, Melku, Mulugeta, Memiah, Peter T N, Memish, Ziad A, Mendoza, Walter, Mengistu, Getnet, Mensah, George A, Mereta, Seid Tiku, Meretoja, Atte, Meretoja, Tuomo J, Mestrovic, Tomislav, Miazgowski, Bartosz, Miazgowski, Tomasz, Millear, Anoushka I, Miller, Ted R, Mini, G.K., Mirarefin, Mojde, Mirica, Andreea, Mirrakhimov, Erkin M, Misganaw, Awoke Temesgen, Mitchell, Philip B, Mitiku, Habtamu, Moazen, Babak, Mohajer, Bahram, Mohammad, Karzan Abdulmuhsin, Mohammadi, Moslem, Mohammadifard, Noushin, Mohammadnia-Afrouzi, Mousa, Mohammed, Mohammed A, Mohammed, Shafiu, Mohebi, Farnam, Mokdad, Ali H, Molokhia, Mariam, Monasta, Lorenzo, Montañez, Julio Cesar, Moosazadeh, Mahmood, Moradi, Ghobad, Moradi, Mahmoudreza, Moradi-Lakeh, Maziar, Moradinazar, Mehdi, Moraga, Paula, Morawska, Lidia, Moreno Velásquez, Ilai, Morgado-Da-Costa, Joana, Morrison, Shane Dougla, Moschos, Marilita M, Mousavi, Seyyed Meysam, Mruts, Kalayu Brhane, Muche, Achenef Asmamaw, Muchie, Kindie Fentahun, Mueller, Ulrich Otto, Muhammed, Oumer Sada, Mukhopadhyay, Satinath, Muller, Kate, Mumford, John Everett, Murthy, G.V.S., Musa, Kamarul Imran, Mustafa, Ghulam, Nabhan, Ashraf F, Nagata, Chie, Nagel, Gabriele, Naghavi, Mohsen, Naheed, Aliya, Nahvijou, Azin, Naik, Gurudatta, Najafi, Farid, Nam, Hae Sung, Nangia, Vinay, Nansseu, Jobert Richie, Neamati, Nahid, Negoi, Ionut, Negoi, Ruxandra Irina, Neupane, Suba, Newton, Charles Richard Jame, Ngunjiri, Josephine W, Nguyen, Anh Quynh, Nguyen, Grant, Nguyen, Ha Thu, Nguyen, Huong Lan Thi, Nguyen, Huong Thanh, Nguyen, Long Hoang, Nguyen, Minh, Nguyen, Nam Ba, Nguyen, Son Hoang, Nichols, Emma, Ningrum, Dina Nur Anggraini, Nixon, Molly R, Nomura, Shuhei, Noroozi, Mehdi, Norrving, Bo, Noubiap, Jean Jacque, Nouri, Hamid Reza, Shiadeh, Malihe Nourollahpour, Nowroozi, Mohammad Reza, Nsoesie, Elaine O, Nyasulu, Peter S, Odell, Christopher M, Ofori-Asenso, Richard, Ogbo, Felix Akpojene, Oh, In-Hwan, Oladimeji, Olanrewaju, Olagunju, Andrew T, Olagunju, Tinuke O, Olivares, Pedro R, Olsen, Helen Elizabeth, Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Ong, Kanyin L, Ong, Sok King, Oren, Eyal, Ortiz, Alberto, Ota, Erika, Otstavnov, Stanislav S, Øverland, Simon, Owolabi, Mayowa Ojo, P A, Mahesh, Pacella, Rosana, Pakhare, Abhijit P, Pakpour, Amir H, Pana, Adrian, Panda-Jonas, Songhomitra, Park, Eun-Kee, Park, Jame, Parry, Charles D H, Parsian, Hadi, Pasdar, Yahya, Patel, Shanti, Patil, Snehal T, Patle, Ajay, Patton, George C, Paturi, Vishnupriya Rao, Paudel, Deepak, Paulson, Katherine R, Pearce, Neil, Pereira, Alexandre, Pereira, David M, Perico, Norberto, Pesudovs, Konrad, Petzold, Max, Pham, Hai Quang, Phillips, Michael R, Pigott, David M, Pillay, Julian David, Piradov, Michael A, Pirsaheb, Meghdad, Pishgar, Farhad, Plana-Ripoll, Oleguer, Polinder, Suzanne, Popova, Svetlana, Postma, Maarten J, Pourshams, Akram, Poustchi, Hossein, Prabhakaran, Dorairaj, Prakash, Swayam, Prakash, V., Prasad, Narayan, Purcell, Caroline A, Qorbani, Mostafa, Quistberg, D Alex, Radfar, Amir, Rafay, Anwar, Rafiei, Alireza, Rahim, Fakher, Rahimi, Kazem, Rahimi, Zohreh, Rahimi-Movaghar, Afarin, Rahimi-Movaghar, Vafa, Rahman, Mahfuzar, Rahman, Mohammad Hifz Ur, Rahman, Muhammad Aziz, Rahman, Sajjad Ur, Rai, Rajesh Kumar, Rajati, Fatemeh, Ranjan, Prabhat, Rao, Puja C, Rasella, Davide, Rawaf, David Laith, Rawaf, Salman, Reddy, K Srinath, Reiner, Robert C, Reitsma, Marissa Bettay, Remuzzi, Giuseppe, Renzaho, Andre M N, Resnikoff, Serge, Rezaei, Satar, Rezai, Mohammad Sadegh, Ribeiro, Antonio Luiz P, Roberts, Nicholas L S, Robinson, Stephen R, Roever, Leonardo, Ronfani, Luca, Roshandel, Gholamreza, Rostami, Ali, Roth, Gregory A, Rothenbacher, Dietrich, Rubagotti, Enrico, Sachdev, Perminder S, Sadat, Nafi, Sadeghi, Ehsan, Saeedi Moghaddam, Sahar, Safari, Hosein, Safari, Yahya, Safari-Faramani, Roya, Safdarian, Mahdi, Safi, Sare, Safiri, Saeid, Sagar, Rajesh, Sahebkar, Amirhossein, Sahraian, Mohammad Ali, Sajadi, Haniye Sadat, Salam, Nasir, Salama, Joseph S, Salamati, Payman, Saleem, Zikria, Salimi, Yahya, Salimzadeh, Hamideh, Salomon, Joshua A, Salvi, Sundeep Santosh, Salz, Inbal, Samy, Abdallah M, Sanabria, Juan, Sanchez-Niño, Maria Dolore, Santomauro, Damian Francesco, Santos, Itamar S, Santos, João Vasco, Santric Milicevic, Milena M, Sao Jose, Bruno Piassi, Sardana, Mayank, Sarker, Abdur Razzaque, Sarmiento-Suárez, Rodrigo, Sarrafzadegan, Nizal, Sartorius, Benn, Sarvi, Shahabeddin, Sathian, Brijesh, Satpathy, Maheswar, Sawant, Arundhati R, Sawhney, Monika, Saxena, Sonia, Schaeffner, Elke, Schmidt, Maria Inê, Schneider, Ione J C, Schutte, Aletta Elisabeth, Schwebel, David C, Schwendicke, Falk, Scott, James G, Sekerija, Mario, Sepanlou, Sadaf G, Serván-Mori, Edson, Seyedmousavi, Seyedmojtaba, Shabaninejad, Hosein, Shafieesabet, Azadeh, Shahbazi, Mehdi, Shaheen, Amira A, Shaikh, Masood Ali, Shams-Beyranvand, Mehran, Shamsi, Mohammadbagher, Sharafi, Heidar, Sharafi, Kiomar, Sharif, Mehdi, Sharif-Alhoseini, Mahdi, Sharma, Jayendra, Sharma, Rajesh, She, Jun, Sheikh, Aziz, Shi, Peilin, Shibuya, Kenji, Shiferaw, Mekonnen Sisay, Shigematsu, Mika, Shiri, Rahman, Shirkoohi, Reza, Shiue, Ivy, Shokoohinia, Yalda, Shokraneh, Farhad, Shoman, Haitham, Shrime, Mark G, Si, Si, Siabani, Soraya, Sibai, Abla Mehio, Siddiqi, Tariq J, Sigfusdottir, Inga Dora, Sigurvinsdottir, Rannveig, Silva, Diego Augusto Santo, Silva, João Pedro, Silveira, Dayane Gabriele Alve, Singam, Narayana Sarma Venkata, Singh, Jasvinder A, Singh, Narinder Pal, Singh, Virendra, Sinha, Dhirendra Narain, Skiadaresi, Eirini, Skirbekk, Vegard, Sliwa, Karen, Smith, David L, Smith, Mari, Soares Filho, Adauto Martin, Sobaih, Badr Hasan, Sobhani, Soheila, Soofi, Moslem, Sorensen, Reed J D, Soyiri, Ireneous N, Sposato, Luciano A, Sreeramareddy, Chandrashekhar T, Srinivasan, Vinay, Stanaway, Jeffrey D, Starodubov, Vladimir I, Stein, Dan J, Steiner, Caitlyn, Steiner, Timothy J, Stokes, Mark A, Stovner, Lars Jacob, Subart, Michelle L, Sudaryanto, Agu, Sufiyan, Mu'awiyyah Babale, Sulo, Gerhard, Sunguya, Bruno F, Sur, Patrick John, Sykes, Bryan L, Sylaja, P.N., Sylte, Dillon O, Szoeke, Cassandra E I, Tabarés-Seisdedos, Rafael, Tabuchi, Takahiro, Tadakamadla, Santosh Kumar, Tandon, Nikhil, Tassew, Segen Gebremeskel, Tavakkoli, Mohammad, Taveira, Nuno, Taylor, Hugh R, Tehrani-Banihashemi, Arash, Tekalign, Tigist Gashaw, Tekelemedhin, Shishay Wahdey, Tekle, Merhawi Gebremedhin, Temsah, Mohamad-Hani, Temsah, Omar, Terkawi, Abdullah Sulieman, Tessema, Belay, Teweldemedhin, Mebrahtu, Thankappan, Kavumpurathu Raman, Theis, Andrew, Thirunavukkarasu, Sathish, Thomas, Nihal, Tilahun, Binyam, To, Quyen G, Tonelli, Marcello, Topor-Madry, Roman, Torre, Anna E, Tortajada-Girbés, Miguel, Touvier, Mathilde, Tovani-Palone, Marcos Roberto, Towbin, Jeffrey A, Tran, Bach Xuan, Tran, Khanh Bao, Troeger, Christopher E, Tsadik, Afewerki Gebremeskel, Tsoi, Derrick, Tudor Car, Lorainne, Tyrovolas, Stefano, Ukwaja, Kingsley Nnanna, Ullah, Irfan, Undurraga, Eduardo A, Updike, Rachel L, Usman, Muhammad Shariq, Uthman, Olalekan A, Vaduganathan, Muthiah, Vaezi, Afsane, Valdez, Pascual R, Varavikova, Elena, Varughese, Santosh, Vasankari, Tommi Juhani, Venketasubramanian, Narayanaswamy, Villafaina, Santo, Violante, Francesco S, Vladimirov, Sergey Konstantinovitch, Vlassov, Vasily, Vollset, Stein Emil, Vos, Theo, Vosoughi, Kia, Vujcic, Isidora S, Wagnew, Fasil Shiferaw, Waheed, Yasir, Wang, Yafeng, Wang, Yuan-Pang, Weiderpass, Elisabete, Weintraub, Robert G, Weiss, Daniel J, Weldegebreal, Fitsum, Weldegwergs, Kidu Gidey, Werdecker, Andrea, West, T Eoin, Westerman, Ronny, Whiteford, Harvey A, Widecka, Justyna, Wijeratne, Tissa, Williams, Hywel C, Wilner, Lauren B, Wilson, Shadrach, Winkler, Andrea Sylvia, Wiyeh, Alison B, Wiysonge, Charles Shey, Wolfe, Charles D A, Woolf, Anthony D, Wyper, Grant M A, Xavier, Deni, Xu, Gelin, Yadgir, Simon, Yahyazadeh Jabbari, Seyed Hossein, Yamada, Tomohide, Yan, Lijing L, Yano, Yuichiro, Yaseri, Mehdi, Yasin, Yasin Jemal, Yeshaneh, Alex, Yimer, Ebrahim M, Yip, Paul, Yisma, Engida, Yonemoto, Naohiro, Yoon, Seok-Jun, Yotebieng, Marcel, Younis, Mustafa Z, Yousefifard, Mahmoud, Yu, Chuanhua, Zadnik, Vesna, Zaidi, Zoubida, Zaman, Sojib Bin, Zamani, Mohammad, Zandian, Hamed, Zar, Heather J, Zenebe, Zerihun Menlkalew, Zhou, Maigeng, Zipkin, Ben, Zodpey, Sanjay, Zucker, Inbar, Zuhlke, Liesl Joanna, and Murray, Christopher J L
Subjects: Male, Health Status, health statu, HALE, mortality rate, communicable disease, DALYs, Global Burden of Disease, Risk Factors, Prevalence, Medicine and Health Sciences, Singapore, OUTCOMES, disability-adjusted life year, international cooperation, Medicine (all), 11 Medical And Health Sciences, Central African Republic, newborn disease, IRON-DEFICIENCY, AIDS, priority journal, Bahrain, disease severity, Female, Quality-Adjusted Life Years, cerebrovascular accident, Ukraine, Life Sciences & Biomedicine, INTERVENTIONS, Slovakia, DISORDERS, Burundi, WEIGHTS, GBD 2017 DALYs and HALE Collaborators, Communicable Diseases, Article, STYLE, Medicine, General & Internal, Life Expectancy, General & Internal Medicine, Humans, Disabled Persons, human, Healthy Lifestyle, HALE, DALYs, global burden of disease, Mortality, Aged, Science & Technology, Mortality, Premature, HIV, ischemic heart disease, major clinical study, PREVENTION, non communicable disease, GBD, disability-adjusted life-years, age, sex factor, Socioeconomic Factors, Algeria, Federation of Bosnia and Herzegovina, lower respiratory tract infection, Wounds and Injuries, GENDER, Human medicine, trend study, chronic obstructive lung disease
Abstract: Background How long one lives, how many years of life are spent in good and poor health, and how the population's state of health and leading causes of disability change over time all have implications for policy, planning, and provision of services. We comparatively assessed the patterns and trends of healthy life expectancy (HALE), which quantifies the number of years of life expected to be lived in good health, and the complementary measure of disability-adjusted life years (DALYs), a composite measure of disease burden capturing both premature mortality and prevalence and severity of ill health, for 359 diseases and injuries for 195 countries and territories over the past 28 years. Methods We used data for age-specific mortality rates, years of life lost (YLLs) due to premature mortality, and years lived with disability (YLDs) from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 to calculate HALE and DALYs from 1990 to 2017. We calculated HALE using age-specific mortality rates and YLDs per capita for each location, age, sex, and year. We calculated DALYs for 359 causes as the sum of YLLs and YLDs. We assessed how observed HALE and DALYs differed by country and sex from expected trends based on Sociodemographic Index (SDI). We also analysed HALE by decomposing years of life gained into years spent in good health and in poor health, between 1990 and 2017, and extra years lived by females compared with males. Findings Globally, from 1990 to 2017, life expectancy at birth increased by 7.4 years (95% uncertainty interval 74-7.8), from 65.6 years (65.3-65- 8) in 1990 to 73.0 years (72.7-73.3) in 2017. The increase in years of life varied from 5.1 years (5.0-5.3) in high SDI countries to 12.0 years (11.3-12.8) in low SDI countries. Of the additional years of life expected at birth, 26.3% (20.1-33.1) were expected to be spent in poor health in high SDI countries compared with 11.7% (8.8-15.1) in low-middle SDI countries. HALE at birth increased by 6.3 years (5.9-6.7), from 57.0 years (54.6-59.1) in 1990 to 63.3 years (60.5-65.7) in 2017. The increase varied from 3.8 years (3.4-4.1) in high SDI countries to 10.5 years (9.8-11.2) in low SDI countries. Even larger variations in HALE than these were observed between countries, ranging from 1.0 year (0.4-1.7) in Saint Vincent and the Grenadines (62.4 years [59.9-64.7] in 1990 to 63.5 years [60.9-65.8] in 2017) to 23.7 years (21.9-25.6) in Eritrea (30.7 years [28.9-32.2] in 1990 to 54.4 years [51.5-57.1] in 2017). In most countries, the increase in HALE was smaller than the increase in overall life expectancy, indicating more years lived in poor health. In 180 of 195 countries and territories, females were expected to live longer than males in 2017, with extra years lived varying from 1.4 years (0.6-2.3) in Algeria to 11.9 years (10.9-12.9) in Ukraine. Of the extra years gained, the proportion spent in poor health varied largely across countries, with less than 20% of additional years spent in poor health in Bosnia and Herzegovina, Burundi, and Slovakia, whereas in Bahrain all the extra years were spent in poor health. In 2017, the highest estimate of HALE at birth was in Singapore for both females (75.8 years [72.4-78.7]) and males (72.6 years [69 " 8-75.0]) and the lowest estimates were in Central African Republic (47.0 years [43.7-50.2] for females and 42.8 years [40.1-45.6] for males). Globally, in 2017, the five leading causes of DALYs were neonatal disorders, ischaemic heart disease, stroke, lower respiratory infections, and chronic obstructive pulmonary disease. Between 1990 and 2017, age-standardised DALY rates decreased by 41.3% (38.8-43.5) for communicable diseases and by 49"8% (47.9-51.6) for neonatal disorders. For non-communicable diseases, global DALYs increased by 40.1% (36.8-43.0), although age-standardised DALY rates decreased by 18.1% (16.0-20.2). Interpretation With increasing life expectancy in most countries, the question of whether the additional years of life gained are spent in good health or poor health has been increasingly relevant because of the potential policy implications, such as health-care provisions and extending retirement ages. In some locations, a large proportion of those additional years are spent in poor health. Large inequalities in HALE and disease burden exist across countries in different SDI quintiles and between sexes. The burden of disabling conditions has serious implications for health system planning and health-related expenditures. Despite the progress made in reducing the burden of communicable diseases and neonatal disorders in low S DI countries, the speed of this progress could be increased by scaling up proven interventions. The global trends among non-communicable diseases indicate that more effort is needed to maximise HALE, such as risk prevention and attention to upstream determinants of health. Copyright (C) 2018 The Author(s). Published by Elsevier Ltd.
Published: 2018

8. The burden of cardiovascular diseases among us states, 1990-2016

Author: Roth, GA, Johnson, CO, Abate, KH, Abd-Allah, F, Ahmed, M, Alam, K, Alam, T, Alvis-Guzman, N, Ansari, H, Ärnlöv, J, Atey, TM, Awasthi, A, Awoke, T, Barac, A, Bärnighausen, T, Bedi, N, Bennett, D, Bensenor, I, Biadgilign, S, Castañeda-Orjuela, C, Catalá-López, F, Davletov, K, Dharmaratne, S, Ding, EL, Dubey, M, Faraon, EJA, Farid, T, Farvid, MS, Feigin, V, Fernandes, J, Frostad, J, Gebru, A, Geleijnse, JM, Gona, PN, Griswold, M, Hailu, GB, Hankey, GJ, Hassen, HY, Havmoeller, R, Hay, S, Heckbert, SR, Irvine, CMS, James, SL, Jara, D, Kasaeian, A, Khan, AR, Khera, S, Khoja, AT, Khubchandani, J, Kim, D, Kolte, D, Lal, D, Larsson, A, Linn, S, Lotufo, PA, Razek, H, Mazidi, M, Meier, T, Mendoza, W, Mensah, GA, Meretoja, A, Mezgebe, HB, Mirrakhimov, E, Mohammed, S, Moran, AE, Nguyen, G, Nguyen, M, Ong, KL, Owolabi, M, Pletcher, M, Pourmalek, F, Purcell, CA, Qorbani, M, Rahman, M, Rai, RK, Ram, U, Reitsma, MB, Renzaho, AMN, Rios-Blancas, MJ, Safiri, S, Salomon, JA, Sartorius, B, Sepanlou, SG, Shaikh, MA, Silva, D, Stranges, S, Tabarés-Seisdedos, R, Atnafu, N, Thakur, JS, Topor-Madry, R, Truelsen, T, Tuzcu, EM, Tyrovolas, S, Ukwaja, KN, Vasankari, T, Vlassov, V, Vollset, SE, Wakayo, T, Weintraub, R, Wolfe, C, Workicho, A, Xu, G, Yadgir, S, Yano, Y, Yip, P, Yonemoto, N, Younis, M, Yu, C, Zaidi, Z, Zaki, MES, Zipkin, B, Afshin, A, Gakidou, E, Lim, SS, Mokdad, AH, Naghavi, M, Vos, T, and Murray, CJL
Subjects: Kardiologi, Nutrition and Disease, Voeding en Ziekte, Life Science, Cardiac and Cardiovascular Systems, VLAG
Abstract: Importance Cardiovascular disease (CVD) is the leading cause of death in the United States, but regional variation within the United States is large. Comparable and consistent state-level measures of total CVD burden and risk factors have not been produced previously. Objective To quantify and describe levels and trends of lost health due to CVD within the United States from 1990 to 2016 as well as risk factors driving these changes. Design, Setting, and Participants Using the Global Burden of Disease methodology, cardiovascular disease mortality, nonfatal health outcomes, and associated risk factors were analyzed by age group, sex, and year from 1990 to 2016 for all residents in the United States using standardized approaches for data processing and statistical modeling. Burden of disease was estimated for 10 groupings of CVD, and comparative risk analysis was performed. Data were analyzed from August 2016 to July 2017. Exposures Residing in the United States. Main Outcomes and Measures Cardiovascular disease disability-adjusted life-years (DALYs). Results Between 1990 and 2016, age-standardized CVD DALYs for all states decreased. Several states had large rises in their relative rank ordering for total CVD DALYs among states, including Arkansas, Oklahoma, Alabama, Kentucky, Missouri, Indiana, Kansas, Alaska, and Iowa. The rate of decline varied widely across states, and CVD burden increased for a small number of states in the most recent years. Cardiovascular disease DALYs remained twice as large among men compared with women. Ischemic heart disease was the leading cause of CVD DALYs in all states, but the second most common varied by state. Trends were driven by 12 groups of risk factors, with the largest attributable CVD burden due to dietary risk exposures followed by high systolic blood pressure, high body mass index, high total cholesterol level, high fasting plasma glucose level, tobacco smoking, and low levels of physical activity. Increases in risk-deleted CVD DALY rates between 2006 and 2016 in 16 states suggest additional unmeasured risks beyond these traditional factors. Conclusions and Relevance Large disparities in total burden of CVD persist between US states despite marked improvements in CVD burden. Differences in CVD burden are largely attributable to modifiable risk exposures.
Published: 2018

9. Global Cardiovascular and Renal Outcomes of Reduced GFR

Author: Thomas, B, Matsushita, K, Abate, KH, Al Aly, Z, Ärnlöv, J, Asayama, K, Atkins, R, Badawi, A, Ballew, SH, Banerjee, A, Barregård, L, Barrett Connor, E, Basu, S, Bello, AK, Bensenor, I, Bergstrom, J, Bikbov, B, Blosser, C, Brenner, H, Carrero, JJ, Chadban, S, CIRILLO, Massimo, Cortinovis, M, Courville, K, Dandona, L, Dandona, R, Estep, K, Fernandes, J, Fischer, F, Fox, C, Gansevoort, RT, Gona, PN, Gutierrez, OM, Hamidi, S, Hanson, SW, Himmelfarb, J, Jassal, SK, Jee, SH, Jha, V, Jimenez Corona, A, Jonas, JB, Kengne, AP, Khader, Y, Khang, YH, Kim, YJ, Klein, B, Klein, R, Kokubo, Y, Kolte, D, Lee, K, Levey, AS, Li, Y, Lotufo, P, El, Razek, HMA, Mendoza, W, Metoki, H, Mok, Y, Muraki, I, Muntner, PM, Noda, H, Ohkubo, T, Ortiz, A, Perico, N, Polkinghorne, K, Al Radaddi, R, Remuzzi, G, Roth, G, Rothenbacher, D, Satoh, M, Saum, KU, Sawhney, M, Schöttker, B, Shankar, A, Shlipak, M, Silva, DAS, Toyoshima, H, Ukwaja, K, Umesawa, M, Vollset, SE, Warnock, DG, Werdecker, A, Yamagishi, K, Yano, Y, Yonemoto, N, Zaki, MES, Naghavi, M, Forouzanfar, MH, Murray, CJL, Coresh, J, Vos, T, Global Burden of Disease, GFR Collaborators, CKD Prognosis Consortium, Global Burden of Disease Genitourinary Expert Group, Bello, A, Hanson, S, Vos, T., Thomas, B, Matsushita, K, Abate, Kh, Al Aly, Z, Ärnlöv, J, Asayama, K, Atkins, R, Badawi, A, Ballew, Sh, Banerjee, A, Barregård, L, Barrett Connor, E, Basu, S, Bello, Ak, Bensenor, I, Bergstrom, J, Bikbov, B, Blosser, C, Brenner, H, Carrero, Jj, Chadban, S, Cirillo, Massimo, Cortinovis, M, Courville, K, Dandona, L, Dandona, R, Estep, K, Fernandes, J, Fischer, F, Fox, C, Gansevoort, Rt, Gona, Pn, Gutierrez, Om, Hamidi, S, Hanson, Sw, Himmelfarb, J, Jassal, Sk, Jee, Sh, Jha, V, Jimenez Corona, A, Jonas, Jb, Kengne, Ap, Khader, Y, Khang, Yh, Kim, Yj, Klein, B, Klein, R, Kokubo, Y, Kolte, D, Lee, K, Levey, A, Li, Y, Lotufo, P, El, Razek, Hma, Mendoza, W, Metoki, H, Mok, Y, Muraki, I, Muntner, Pm, Noda, H, Ohkubo, T, Ortiz, A, Perico, N, Polkinghorne, K, Al Radaddi, R, Remuzzi, G, Roth, G, Rothenbacher, D, Satoh, M, Saum, Ku, Sawhney, M, Schöttker, B, Shankar, A, Shlipak, M, Silva, Da, Toyoshima, H, Ukwaja, K, Umesawa, M, Vollset, Se, Warnock, Dg, Werdecker, A, Yamagishi, K, Yano, Y, Yonemoto, N, Zaki, Me, Naghavi, M, Forouzanfar, Mh, Murray, Cjl, Coresh, J, Vos, T, Global Burden of, Disease, Gfr, Collaborator, CKD Prognosis, Consortium, Global Burden of Disease Genitourinary Expert, Group, Bello, A, Hanson, S, and Vos, T.
Subjects: Epidemiology and outcomes, cardiovascular disease, chronic dialysis, chronic kidney disease, end stage kidney disease, urologic and male genital diseases, Global Health, Kidney, Risk Assessment, female genital diseases and pregnancy complications, Cardiovascular Diseases, Risk Factors, Epidemiology and outcome, chronic dialysi, Humans, Kidney Diseases, Clinical Epidemiology, Glomerular Filtration Rate
Abstract: The burden of premature death and health loss from ESRD is well described. Less is known regarding the burden of cardiovascular disease attributable to reduced GFR. We estimated the prevalence of reduced GFR categories 3, 4, and 5 (not on RRT) for 188 countries at six time points from 1990 to 2013. Relative risks of cardiovascular outcomes by three categories of reduced GFR were calculated by pooled random effects meta-analysis. Results are presented as deaths for outcomes of cardiovascular disease and ESRD and as disability-adjusted life years for outcomes of cardiovascular disease, GFR categories 3, 4, and 5, and ESRD. In 2013, reduced GFR was associated with 4% of deaths worldwide, or 2.2 million deaths (95% uncertainty interval [95% UI], 2.0 to 2.4 million). More than half of these attributable deaths were cardiovascular deaths (1.2 million; 95% UI, 1.1 to 1.4 million), whereas 0.96 million (95% UI, 0.81 to 1.0 million) were ESRD-related deaths. Compared with metabolic risk factors, reduced GFR ranked below high systolic BP, high body mass index, and high fasting plasma glucose, and similarly with high total cholesterol as a risk factor for disability-adjusted life years in both developed and developing world regions. In conclusion, by 2013, cardiovascular deaths attributed to reduced GFR outnumbered ESRD deaths throughout the world. Studies are needed to evaluate the benefit of early detection of CKD and treatment to decrease these deaths.
Published: 2016

10. Burden of cardiovascular diseases in the Eastern Mediterranean Region, 1990–2015: findings from the Global Burden of Disease 2015 study

Author: Tehrani-Banihashemi, A, Moradi-Lakeh, M, Elbcheraoui, C, Charara, R, Khalil, I, Afshin, A, Collison, M, Daoud, F, Krohn, KJ, Chew, A, Cornaby, L, Foreman, KJ, Frostad, J, Kassebaum, NJ, Kemmer, L, Kutz, M, Liu, P, Mirarefin, M, Nguyen, G, Wang, H, Zipkin, B, Abajobir, AA, Abouzeid, Marian, Abu-Rmeileh, NME, Ahmad Kiadaliri, A, Ahmed, MB, Aksut, B, Alam, K, Alasfoor, D, Ali, R, Alizadeh-Navaei, R, Al-Raddadi, R, Alsharif, U, Altirkawi, KA, Alvis-Guzman, N, Anber, N, Anwari, P, Ärnlöv, J, Asgedom, SW, Atey, TM, Awasthi, A, Bärnighausen, T, Bacha, U, Barac, A, Barker-Collo, SL, Bedi, N, Bennett, DA, Berhe, DF, Biadgilign, S, Butt, ZA, Carapetis, JR, Castro, RE, Chitheer, AA, Davletov, K, Dharmaratne, SD, Djalalinia, S, Do, HP, Dubey, M, Ebrahimi, H, Eshrati, B, Esteghamati, A, Farvid, MS, Fereshtehnejad, SM, Fischer, F, Gebrehiwot, SW, Gebrehiwot, TT, Gillum, RF, Gona, PN, Gupta, R, Hafezi-Nejad, N, Hamadeh, RR, Hamidi, S, Hsairi, M, Jee, SH, Jonas, JB, Karimkhani, C, Kasaeian, A, Khader, YS, Khan, EA, Kim, D, Lal, DK, Larson, HJ, Latif, AA, Linn, S, Lotufo, PA, Lunevicius, R, Magdyabdelrazek, H, Majeed, A, Malekzadeh, R, Malta, DC, Meier, T, Memiah, P, Memish, ZA, Mendoza, W, Mensah, GA, Meretoja, A, Miller, TR, Mirrakhimov, EM, Mohammed, S, Nguyen, QL, Tehrani-Banihashemi, A, Moradi-Lakeh, M, Elbcheraoui, C, Charara, R, Khalil, I, Afshin, A, Collison, M, Daoud, F, Krohn, KJ, Chew, A, Cornaby, L, Foreman, KJ, Frostad, J, Kassebaum, NJ, Kemmer, L, Kutz, M, Liu, P, Mirarefin, M, Nguyen, G, Wang, H, Zipkin, B, Abajobir, AA, Abouzeid, Marian, Abu-Rmeileh, NME, Ahmad Kiadaliri, A, Ahmed, MB, Aksut, B, Alam, K, Alasfoor, D, Ali, R, Alizadeh-Navaei, R, Al-Raddadi, R, Alsharif, U, Altirkawi, KA, Alvis-Guzman, N, Anber, N, Anwari, P, Ärnlöv, J, Asgedom, SW, Atey, TM, Awasthi, A, Bärnighausen, T, Bacha, U, Barac, A, Barker-Collo, SL, Bedi, N, Bennett, DA, Berhe, DF, Biadgilign, S, Butt, ZA, Carapetis, JR, Castro, RE, Chitheer, AA, Davletov, K, Dharmaratne, SD, Djalalinia, S, Do, HP, Dubey, M, Ebrahimi, H, Eshrati, B, Esteghamati, A, Farvid, MS, Fereshtehnejad, SM, Fischer, F, Gebrehiwot, SW, Gebrehiwot, TT, Gillum, RF, Gona, PN, Gupta, R, Hafezi-Nejad, N, Hamadeh, RR, Hamidi, S, Hsairi, M, Jee, SH, Jonas, JB, Karimkhani, C, Kasaeian, A, Khader, YS, Khan, EA, Kim, D, Lal, DK, Larson, HJ, Latif, AA, Linn, S, Lotufo, PA, Lunevicius, R, Magdyabdelrazek, H, Majeed, A, Malekzadeh, R, Malta, DC, Meier, T, Memiah, P, Memish, ZA, Mendoza, W, Mensah, GA, Meretoja, A, Miller, TR, Mirrakhimov, EM, Mohammed, S, and Nguyen, QL
Abstract: Objectives: To report the burden of cardiovascular diseases (CVD) in the Eastern Mediterranean Region (EMR) during 1990–2015. Methods: We used the 2015 Global Burden of Disease study for estimates of mortality and disability-adjusted life years (DALYs) of different CVD in 22 countries of EMR. Results: A total of 1.4 million CVD deaths (95% UI: 1.3–1.5) occurred in 2015 in the EMR, with the highest number of deaths in Pakistan (465,116) and the lowest number of deaths in Qatar (723). The age-standardized DALY rate per 100,000 decreased from 10,080 in 1990 to 8606 in 2015 (14.6% decrease). Afghanistan had the highest age-standardized DALY rate of CVD in both 1990 and 2015. Kuwait and Qatar had the lowest age-standardized DALY rates of CVD in 1990 and 2015, respectively. High blood pressure, high total cholesterol, and high body mass index were the leading risk factors for CVD. Conclusions: The age-standardized DALY rates in the EMR are considerably higher than the global average. These findings call for a comprehensive approach to prevent and control the burden of CVD in the region.
Published: 2018

11. Trends in HIV/AIDS morbidity and mortality in Eastern Mediterranean countries, 1990–2015: findings from the Global Burden of Disease 2015 study

Author: Mokdad, Ali H., El Bcheraoui, Charbel, Wang, Haidong, Charara, Raghid, Khalil, Ibrahim, Moradi-Lakeh, Maziar, Afshin, Ashkan, Collison, Michael, Daoud, Farah, Chew, Adrienne, Krohn, Kristopher J., Carter, Austin, Foreman, Kyle J., He, Fei, Kassebaum, Nicholas J., Kutz, Michael, Mirarefin, Mojde, Nguyen, Grant, Silpakit, Naris, Sligar, Amber, Abajobir, Amanuel Alemu, Abate, Kalkidan Hassen, Abbas, Kaja M., Abd-Allah, Foad, Abera, Semaw Ferede, Adane, K, Agarwal, A, Ahmadkiadaliri, A, Ahmadi, A, Ahmed, MB, Al Lami, FH, Alam, K, Alasfoor, D, Alizadeh-Navaei, R, Al-Maskari, F, Al-Raddadi, R, Altirkawi, KA, Alvis-Guzman, N, Ammar, W, Anber, N, Antonio, CAT, Anwari, P, Asayesh, H, Asghar, RJ, Atey, TM, Avokpaho, EFGA, Awokeayele, T, Azzopardi, P, Bacha, U, Barac, A, Bärnighausen, T, Bazargan-Hejazi, S, Bedi, N, Bensenor, IM, Berhane, A, Bessong, PO, Beyene, AS, Bhutta, ZA, Birungi, C, Butt, ZA, Cahuana-Hurtado, L, Danawi, H, Dasneves, J, Deribe, K, Deribew, A, Des Jarlais, DC, Dharmaratne, SD, Djalalinia, S, Doyle, KE, Endries, AY, Eshrati, B, Faraon, EJA, Farvid, MS, Fereshtehnejad, SM, Feyissa, TR, Fischer, F, Garcia-Basteiro, AL, Gebrehiwot, TT, Gesesew, HA, Gishu, MD, Glaser, E, Gona, PN, Gugnani, HC, Gupta, R, Haghparastbidgoli, H, Hailu, GB, Hamadeh, RR, Hambisa, MT, Hamidi, S, Harb, HL, Hareri, HA, Horita, N, Husseini, A, Ibrahim, A, James, SL, Jonas, JB, Kasaeian, A, Kassaw, NA, Khader, YS, Khan, EA, Khan, G, Mekonnen, Alemayehu, Mokdad, Ali H., El Bcheraoui, Charbel, Wang, Haidong, Charara, Raghid, Khalil, Ibrahim, Moradi-Lakeh, Maziar, Afshin, Ashkan, Collison, Michael, Daoud, Farah, Chew, Adrienne, Krohn, Kristopher J., Carter, Austin, Foreman, Kyle J., He, Fei, Kassebaum, Nicholas J., Kutz, Michael, Mirarefin, Mojde, Nguyen, Grant, Silpakit, Naris, Sligar, Amber, Abajobir, Amanuel Alemu, Abate, Kalkidan Hassen, Abbas, Kaja M., Abd-Allah, Foad, Abera, Semaw Ferede, Adane, K, Agarwal, A, Ahmadkiadaliri, A, Ahmadi, A, Ahmed, MB, Al Lami, FH, Alam, K, Alasfoor, D, Alizadeh-Navaei, R, Al-Maskari, F, Al-Raddadi, R, Altirkawi, KA, Alvis-Guzman, N, Ammar, W, Anber, N, Antonio, CAT, Anwari, P, Asayesh, H, Asghar, RJ, Atey, TM, Avokpaho, EFGA, Awokeayele, T, Azzopardi, P, Bacha, U, Barac, A, Bärnighausen, T, Bazargan-Hejazi, S, Bedi, N, Bensenor, IM, Berhane, A, Bessong, PO, Beyene, AS, Bhutta, ZA, Birungi, C, Butt, ZA, Cahuana-Hurtado, L, Danawi, H, Dasneves, J, Deribe, K, Deribew, A, Des Jarlais, DC, Dharmaratne, SD, Djalalinia, S, Doyle, KE, Endries, AY, Eshrati, B, Faraon, EJA, Farvid, MS, Fereshtehnejad, SM, Feyissa, TR, Fischer, F, Garcia-Basteiro, AL, Gebrehiwot, TT, Gesesew, HA, Gishu, MD, Glaser, E, Gona, PN, Gugnani, HC, Gupta, R, Haghparastbidgoli, H, Hailu, GB, Hamadeh, RR, Hambisa, MT, Hamidi, S, Harb, HL, Hareri, HA, Horita, N, Husseini, A, Ibrahim, A, James, SL, Jonas, JB, Kasaeian, A, Kassaw, NA, Khader, YS, Khan, EA, Khan, G, and Mekonnen, Alemayehu
Published: 2018

12. Adolescent health in the Eastern Mediterranean Region: findings from the global burden of disease 2015 study

Author: Mokdad, AH, Azzopardi, P, Cini, K, Kennedy, E, Sawyer, S, El Bcheraoui, C, Charara, R, Khalil, I, Moradi-Lakeh, M, Collison, M, Afifi, RA, Al-Raiby, J, Krohn, KJ, Daoud, F, Chew, A, Afshin, A, Foreman, KJ, Kassebaum, NJ, Kutz, M, Kyu, HH, Liu, P, Olsen, HE, Smith, A, Stanaway, JD, Wang, H, Arnlov, J, Kiadaliri, AA, Alam, K, Alasfoor, D, Ali, R, Alizadeh-Navaei, R, Al-Raddadi, R, Altirkawi, KA, Alvis-Guzman, N, Anber, N, Antonio, CAT, Anwari, P, Artaman, A, Asayesh, H, Barker-Collo, SL, Bedi, N, Beghi, E, Bennett, DA, Bensenor, IM, Bhutta, ZA, Butt, ZA, Castaneda-Orjuela, CA, Catala-Lopez, F, Charlson, FJ, Danawi, H, De Leo, D, Degenhardt, L, Denno, D, Deribe, K, Jarlais, DCD, Dey, S, Dharmaratne, SD, Djalalinia, S, Erskine, HE, Fereshtehnejad, S-M, Ferrari, AJ, Fischer, F, Gebrehiwot, TT, Geleijnse, JM, Gona, PN, Gugnani, HC, Gupta, R, Hamadeh, RR, Hamidi, S, Maria Haro, J, Hay, RJ, Hearps, SJC, Hendrie, D, Hotez, PJ, Hu, G, Jonas, JB, Karch, A, Karimi, SM, Kasaeian, A, Kebede, S, Kengne, AP, Khan, EA, Khosravi, A, Khubchandani, J, Kokubo, Y, Kopec, JA, Kosen, S, Larson, HJ, Larsson, A, Leasher, JL, Leung, J, Li, Y, Lotufo, PA, Lunevicius, R, Abd El Razek, HM, Majdzadeh, R, Majeed, A, Memiah, P, Memish, ZA, Mendoza, W, Mhimbira, FA, Miller, TR, Mitchell, PB, Monasta, L, Obermeyer, CM, Oh, I-H, Olusanya, BO, Ortiz, A, Park, E-K, Parry, M, Pereira, DM, Phillips, MR, Pourmalek, F, Qorbani, M, Radfar, A, Rafay, A, Rahimi-Movaghar, V, Rai, RK, Rana, SM, Rawaf, DL, Rawaf, S, Reavley, N, Renzaho, AMN, Rezaei, S, Sadegh-Rezai, M, Rios-Zertuche, D, Roshandel, G, Rothenbacher, D, Safdarian, M, Safi, S, Safiri, S, Sahraian, MA, Salamati, P, Samy, AM, Sanabria, JR, Santomauro, D, Sartorius, B, Schwebel, DC, Seedat, S, Sepanlou, SG, Setegn, T, Shaheen, A, Shaikh, MA, Shiri, R, Sigfusdottir, ID, Singh, JA, Sobaih, BHA, Sreeramareddy, CT, Abdulkader, RS, Tehrani-Banihashemi, A, Temsah, M-H, Terkawi, AS, Thomson, AJ, Tonelli, M, Topor-Madry, R, Tran, BX, Ukwaja, KN, Uthman, OA, Vasankari, T, Venketasubramanian, N, Vlassov, VV, Vollset, SE, Weiderpass, E, Weintraub, RG, Werdecker, A, Whiteford, HA, Yano, Y, Yaseri, M, Yonemoto, N, Younis, MZ, Yu, C, Jumaan, AO, Vos, T, Hay, SI, Naghavi, M, Patton, GC, Murray, CJL, Mokdad, AH, Azzopardi, P, Cini, K, Kennedy, E, Sawyer, S, El Bcheraoui, C, Charara, R, Khalil, I, Moradi-Lakeh, M, Collison, M, Afifi, RA, Al-Raiby, J, Krohn, KJ, Daoud, F, Chew, A, Afshin, A, Foreman, KJ, Kassebaum, NJ, Kutz, M, Kyu, HH, Liu, P, Olsen, HE, Smith, A, Stanaway, JD, Wang, H, Arnlov, J, Kiadaliri, AA, Alam, K, Alasfoor, D, Ali, R, Alizadeh-Navaei, R, Al-Raddadi, R, Altirkawi, KA, Alvis-Guzman, N, Anber, N, Antonio, CAT, Anwari, P, Artaman, A, Asayesh, H, Barker-Collo, SL, Bedi, N, Beghi, E, Bennett, DA, Bensenor, IM, Bhutta, ZA, Butt, ZA, Castaneda-Orjuela, CA, Catala-Lopez, F, Charlson, FJ, Danawi, H, De Leo, D, Degenhardt, L, Denno, D, Deribe, K, Jarlais, DCD, Dey, S, Dharmaratne, SD, Djalalinia, S, Erskine, HE, Fereshtehnejad, S-M, Ferrari, AJ, Fischer, F, Gebrehiwot, TT, Geleijnse, JM, Gona, PN, Gugnani, HC, Gupta, R, Hamadeh, RR, Hamidi, S, Maria Haro, J, Hay, RJ, Hearps, SJC, Hendrie, D, Hotez, PJ, Hu, G, Jonas, JB, Karch, A, Karimi, SM, Kasaeian, A, Kebede, S, Kengne, AP, Khan, EA, Khosravi, A, Khubchandani, J, Kokubo, Y, Kopec, JA, Kosen, S, Larson, HJ, Larsson, A, Leasher, JL, Leung, J, Li, Y, Lotufo, PA, Lunevicius, R, Abd El Razek, HM, Majdzadeh, R, Majeed, A, Memiah, P, Memish, ZA, Mendoza, W, Mhimbira, FA, Miller, TR, Mitchell, PB, Monasta, L, Obermeyer, CM, Oh, I-H, Olusanya, BO, Ortiz, A, Park, E-K, Parry, M, Pereira, DM, Phillips, MR, Pourmalek, F, Qorbani, M, Radfar, A, Rafay, A, Rahimi-Movaghar, V, Rai, RK, Rana, SM, Rawaf, DL, Rawaf, S, Reavley, N, Renzaho, AMN, Rezaei, S, Sadegh-Rezai, M, Rios-Zertuche, D, Roshandel, G, Rothenbacher, D, Safdarian, M, Safi, S, Safiri, S, Sahraian, MA, Salamati, P, Samy, AM, Sanabria, JR, Santomauro, D, Sartorius, B, Schwebel, DC, Seedat, S, Sepanlou, SG, Setegn, T, Shaheen, A, Shaikh, MA, Shiri, R, Sigfusdottir, ID, Singh, JA, Sobaih, BHA, Sreeramareddy, CT, Abdulkader, RS, Tehrani-Banihashemi, A, Temsah, M-H, Terkawi, AS, Thomson, AJ, Tonelli, M, Topor-Madry, R, Tran, BX, Ukwaja, KN, Uthman, OA, Vasankari, T, Venketasubramanian, N, Vlassov, VV, Vollset, SE, Weiderpass, E, Weintraub, RG, Werdecker, A, Whiteford, HA, Yano, Y, Yaseri, M, Yonemoto, N, Younis, MZ, Yu, C, Jumaan, AO, Vos, T, Hay, SI, Naghavi, M, Patton, GC, and Murray, CJL
Abstract: OBJECTIVES: The 22 countries of the East Mediterranean Region (EMR) have large populations of adolescents aged 10-24 years. These adolescents are central to assuring the health, development, and peace of this region. We described their health needs. METHODS: Using data from the Global Burden of Disease Study 2015 (GBD 2015), we report the leading causes of mortality and morbidity for adolescents in the EMR from 1990 to 2015. We also report the prevalence of key health risk behaviors and determinants. RESULTS: Communicable diseases and the health consequences of natural disasters reduced substantially between 1990 and 2015. However, these gains have largely been offset by the health impacts of war and the emergence of non-communicable diseases (including mental health disorders), unintentional injury, and self-harm. Tobacco smoking and high body mass were common health risks amongst adolescents. Additionally, many EMR countries had high rates of adolescent pregnancy and unmet need for contraception. CONCLUSIONS: Even with the return of peace and security, adolescents will have a persisting poor health profile that will pose a barrier to socioeconomic growth and development of the EMR.
Published: 2018

13. Neonatal, infant, and under-5 mortality and morbidity burden in the Eastern Mediterranean region: findings from the Global Burden of Disease 2015 study

Author: Mokdad, AH, Khalil, I, Collison, M, El Bcheraoui, C, Charara, R, Moradi-Lakeh, M, Afshin, A, Krohn, KJ, Daoud, F, Chew, A, Kassebaum, NJ, Colombara, D, Cornaby, L, Ehrenkranz, R, Foreman, KJ, Fraser, M, Frostad, J, Kemmer, L, Kulikoff, XR, Kutz, M, Kyu, HH, Liu, P, Mikesell, J, Nguyen, G, Rao, PC, Silpakit, N, Sligar, A, Smith, A, Stanaway, JD, Arnlov, J, Abate, KH, Kiadaliri, AA, Alam, K, Alasfoor, D, Ali, R, Alizadeh-Navaei, R, Alraddadi, R, Altirkawi, KA, Alvis-Guzman, N, Anber, N, Ansari, H, Antonio, CAT, Anwari, P, Artaman, A, Asayesh, H, Asgedom, SW, Azzopardi, P, Bacha, U, Barac, A, Barker-Collo, SL, Bedi, N, Beghi, E, Bennett, DA, Bhutta, ZA, Bisanzio, D, Castaneda-Orjuela, CA, Estanislao Castro, R, Danawi, H, Deribe, K, Deribew, A, Jarlais, DCD, deVeber, GA, Dey, S, Dharmaratne, SD, Djalalinia, S, Huyen, PD, Esteghamati, A, Farvid, MS, Fereshtehnejad, S-M, Fischer, F, Gebrehiwot, TT, Giussani, G, Gona, PN, Hafezi-Nejad, N, Hamadeh, RR, Hamidi, S, Hoy, DG, Hu, G, John, D, Jonas, JB, Karimi, SM, Kasaeian, A, Khader, YS, Khan, EA, Khan, G, Kim, D, Kim, YJ, Kinfu, Y, Larson, HJ, Latif, AA, Leasher, JL, Lunevicius, R, Abd El Razek, HM, Abd El Razek, MM, Majeed, A, Malekzadeh, R, Memish, ZA, Mendoza, W, Mezgebe, HB, Miller, TR, Monasta, L, Quyen, LN, Obermeyer, CM, Ortiz, A, Papachristou, C, Park, E-K, Pereira, CC, Petzold, M, Pereira, DM, Phillips, MR, Pourmalek, F, Qorbani, M, Rafay, A, Rahimi-Movaghar, V, Rai, RK, Rana, SM, Rawaf, DL, Rawaf, S, Renzaho, AMN, Rezaei, S, Rezai, MS, Ronfani, L, Roshandel, G, Ruhago, GM, Safdarian, M, Safiri, S, Sahraian, MA, Salamati, P, Samy, AM, Sanabria, JR, Sartorius, B, Schwebel, DC, Seedat, S, Sepanlou, SG, Setegn, T, Shaheen, A, Shaikh, MA, Shamsizadeh, M, Shiri, R, Skirbekk, V, Sobaih, BHA, Sreeramareddy, CT, Stathopoulou, V, Abdulkader, RS, Tehrani-Banihashemi, A, Temsah, M-H, Thakur, AJS, Thomson, AJ, Tran, BX, Truelsen, T, Ukwaja, KN, Uthman, OA, Vasankari, T, Vlassov, VV, Weiderpass, E, Weintraub, RG, Werdecker, A, Yaghoubi, M, Yaseri, M, Yonemoto, N, Younis, MZ, Yu, C, Jumaan, AO, Vos, T, Hay, SI, Naghavi, M, Wang, H, Murray, CJL, Mokdad, AH, Khalil, I, Collison, M, El Bcheraoui, C, Charara, R, Moradi-Lakeh, M, Afshin, A, Krohn, KJ, Daoud, F, Chew, A, Kassebaum, NJ, Colombara, D, Cornaby, L, Ehrenkranz, R, Foreman, KJ, Fraser, M, Frostad, J, Kemmer, L, Kulikoff, XR, Kutz, M, Kyu, HH, Liu, P, Mikesell, J, Nguyen, G, Rao, PC, Silpakit, N, Sligar, A, Smith, A, Stanaway, JD, Arnlov, J, Abate, KH, Kiadaliri, AA, Alam, K, Alasfoor, D, Ali, R, Alizadeh-Navaei, R, Alraddadi, R, Altirkawi, KA, Alvis-Guzman, N, Anber, N, Ansari, H, Antonio, CAT, Anwari, P, Artaman, A, Asayesh, H, Asgedom, SW, Azzopardi, P, Bacha, U, Barac, A, Barker-Collo, SL, Bedi, N, Beghi, E, Bennett, DA, Bhutta, ZA, Bisanzio, D, Castaneda-Orjuela, CA, Estanislao Castro, R, Danawi, H, Deribe, K, Deribew, A, Jarlais, DCD, deVeber, GA, Dey, S, Dharmaratne, SD, Djalalinia, S, Huyen, PD, Esteghamati, A, Farvid, MS, Fereshtehnejad, S-M, Fischer, F, Gebrehiwot, TT, Giussani, G, Gona, PN, Hafezi-Nejad, N, Hamadeh, RR, Hamidi, S, Hoy, DG, Hu, G, John, D, Jonas, JB, Karimi, SM, Kasaeian, A, Khader, YS, Khan, EA, Khan, G, Kim, D, Kim, YJ, Kinfu, Y, Larson, HJ, Latif, AA, Leasher, JL, Lunevicius, R, Abd El Razek, HM, Abd El Razek, MM, Majeed, A, Malekzadeh, R, Memish, ZA, Mendoza, W, Mezgebe, HB, Miller, TR, Monasta, L, Quyen, LN, Obermeyer, CM, Ortiz, A, Papachristou, C, Park, E-K, Pereira, CC, Petzold, M, Pereira, DM, Phillips, MR, Pourmalek, F, Qorbani, M, Rafay, A, Rahimi-Movaghar, V, Rai, RK, Rana, SM, Rawaf, DL, Rawaf, S, Renzaho, AMN, Rezaei, S, Rezai, MS, Ronfani, L, Roshandel, G, Ruhago, GM, Safdarian, M, Safiri, S, Sahraian, MA, Salamati, P, Samy, AM, Sanabria, JR, Sartorius, B, Schwebel, DC, Seedat, S, Sepanlou, SG, Setegn, T, Shaheen, A, Shaikh, MA, Shamsizadeh, M, Shiri, R, Skirbekk, V, Sobaih, BHA, Sreeramareddy, CT, Stathopoulou, V, Abdulkader, RS, Tehrani-Banihashemi, A, Temsah, M-H, Thakur, AJS, Thomson, AJ, Tran, BX, Truelsen, T, Ukwaja, KN, Uthman, OA, Vasankari, T, Vlassov, VV, Weiderpass, E, Weintraub, RG, Werdecker, A, Yaghoubi, M, Yaseri, M, Yonemoto, N, Younis, MZ, Yu, C, Jumaan, AO, Vos, T, Hay, SI, Naghavi, M, Wang, H, and Murray, CJL
Abstract: OBJECTIVES: Although substantial reductions in under-5 mortality have been observed during the past 35 years, progress in the Eastern Mediterranean Region (EMR) has been uneven. This paper provides an overview of child mortality and morbidity in the EMR based on the Global Burden of Disease (GBD) study. METHODS: We used GBD 2015 study results to explore under-5 mortality and morbidity in EMR countries. RESULTS: In 2015, 755,844 (95% uncertainty interval (UI) 712,064-801,565) children under 5 died in the EMR. In the early neonatal category, deaths in the EMR decreased by 22.4%, compared to 42.4% globally. The rate of years of life lost per 100,000 population under 5 decreased 54.38% from 177,537 (173,812-181,463) in 1990 to 80,985 (76,308-85,876) in 2015; the rate of years lived with disability decreased by 0.57% in the EMR compared to 9.97% globally. CONCLUSIONS: Our findings call for accelerated action to decrease child morbidity and mortality in the EMR. Governments and organizations should coordinate efforts to address this burden. Political commitment is needed to ensure that child health receives the resources needed to end preventable deaths.
Published: 2018

14. Diabetes mellitus and chronic kidney disease in the Eastern Mediterranean Region: findings from the Global Burden of Disease 2015 study

Author: Mokdad, AH, Moradi-Lakeh, M, El Bcheraoui, C, Khalil, I, Charara, R, Afshin, A, Wang, H, Collison, M, Krohn, KJ, Chew, A, Daoud, F, Blosser, CD, Cornaby, L, Foreman, KJ, Kassebaum, NJ, Kemmer, L, Kutz, M, Liu, P, Zipkin, B, Arnlov, J, Abate, KH, Ahmadi, A, Ahmadieh, H, Ahmed, MB, Al-Aly, Z, Alam, K, Alasfoor, D, Ali, R, Alizadeh-Navaei, R, Alkaabi, JM, Alkerwi, A, Al-Raddadi, R, Altirkawi, KA, Alvis-Guzman, N, Amini, E, Anber, N, Anwari, P, Asgedom, SW, Atey, TM, Avila-Burgos, L, Awasthi, A, Azzopardi, P, Baernighausen, T, Bacha, U, Barac, A, Bazargan-Hejazi, S, Drew, CR, Geffen, D, Bedi, N, Berhe, DF, Beyene, AS, Bhutta, ZA, Bikbov, B, Birhanu, MM, Butt, ZA, Cahuana-Hurtado, L, Carpenter, DO, Carrero, JJ, Choi, J-YJJ, Danawi, H, Dharmaratne, SD, Ding, EL, Djalalinia, S, Doyle, KE, Ebrahimi, H, Endries, AY, Esteghamati, A, Farvid, MS, Fereshtehnejad, S-M, Feyissa, TR, Fischer, F, Gebrehiwot, TT, Gona, PN, Gopalani, SV, Gyawali, B, Hafezi-Nejad, N, Hamadeh, RR, Hamidi, S, Horino, M, Hsairi, M, Jakovljevic, MB, Jimenez-Corona, A, John, D, Jonas, JB, Kasaeian, A, Kengne, AP, Ketema, EB, Khader, YS, Khan, EA, Kim, D, Kim, YJ, Kinfu, Y, Kissimova-Skarbek, KA, Koyanagi, A, Larson, HJ, Larsson, A, Li, Y, Lotufo, PA, Lunevicius, R, Majeed, A, Malekzadeh, R, Malta, DC, Mazidi, M, Memish, ZA, Mendoza, W, Mengistie, MA, Mensah, GA, Mezgebe, HB, Miller, TR, Mohammed, MSK, Mohammed, S, Mueller, UO, Nagel, G, Cuong, TN, Quyen, LN, Vuong, MN, Noubiap, JJN, Ogbo, FA, Ortiz, A, Ota, E, Patel, T, Pearson-Stuttard, J, Perico, N, Petzold, M, Pishgar, F, Pourmalek, F, Qorbani, M, Rahimi-Movaghar, V, Rai, RK, Rana, SM, Rawaf, DL, Rawaf, S, Remuzzi, G, Renzaho, AMNN, Rezaei, S, Roshandel, G, Bacher, DR, Safdarian, M, Safi, S, Safiri, S, Sahraian, MA, Salamati, P, Samy, AM, Sanabria, JR, Dolores Sanchez-Nino, M, Milicevic, MMS, Sartorius, B, Sepanlou, SG, Shaikh, MA, Santos Silva, DA, Alves Silveira, DG, Sobaih, BHA, Abdulkader, RS, Tabares-Seisdedos, R, Tehrani-Banihashemi, A, Temsah, M-H, Topor-Madry, R, Tran, BX, Ukwaja, KN, Uthman, OA, van Boven, JFM, Wakayo, T, Werdecker, A, Workicho, A, Yaghoubi, M, Yano, Y, Yaseri, M, Yonemoto, N, Younis, MZ, Zhang, AL, Jumaan, AO, Vos, T, Naghavi, M, Hay, SI, Murray, CJL, Mokdad, AH, Moradi-Lakeh, M, El Bcheraoui, C, Khalil, I, Charara, R, Afshin, A, Wang, H, Collison, M, Krohn, KJ, Chew, A, Daoud, F, Blosser, CD, Cornaby, L, Foreman, KJ, Kassebaum, NJ, Kemmer, L, Kutz, M, Liu, P, Zipkin, B, Arnlov, J, Abate, KH, Ahmadi, A, Ahmadieh, H, Ahmed, MB, Al-Aly, Z, Alam, K, Alasfoor, D, Ali, R, Alizadeh-Navaei, R, Alkaabi, JM, Alkerwi, A, Al-Raddadi, R, Altirkawi, KA, Alvis-Guzman, N, Amini, E, Anber, N, Anwari, P, Asgedom, SW, Atey, TM, Avila-Burgos, L, Awasthi, A, Azzopardi, P, Baernighausen, T, Bacha, U, Barac, A, Bazargan-Hejazi, S, Drew, CR, Geffen, D, Bedi, N, Berhe, DF, Beyene, AS, Bhutta, ZA, Bikbov, B, Birhanu, MM, Butt, ZA, Cahuana-Hurtado, L, Carpenter, DO, Carrero, JJ, Choi, J-YJJ, Danawi, H, Dharmaratne, SD, Ding, EL, Djalalinia, S, Doyle, KE, Ebrahimi, H, Endries, AY, Esteghamati, A, Farvid, MS, Fereshtehnejad, S-M, Feyissa, TR, Fischer, F, Gebrehiwot, TT, Gona, PN, Gopalani, SV, Gyawali, B, Hafezi-Nejad, N, Hamadeh, RR, Hamidi, S, Horino, M, Hsairi, M, Jakovljevic, MB, Jimenez-Corona, A, John, D, Jonas, JB, Kasaeian, A, Kengne, AP, Ketema, EB, Khader, YS, Khan, EA, Kim, D, Kim, YJ, Kinfu, Y, Kissimova-Skarbek, KA, Koyanagi, A, Larson, HJ, Larsson, A, Li, Y, Lotufo, PA, Lunevicius, R, Majeed, A, Malekzadeh, R, Malta, DC, Mazidi, M, Memish, ZA, Mendoza, W, Mengistie, MA, Mensah, GA, Mezgebe, HB, Miller, TR, Mohammed, MSK, Mohammed, S, Mueller, UO, Nagel, G, Cuong, TN, Quyen, LN, Vuong, MN, Noubiap, JJN, Ogbo, FA, Ortiz, A, Ota, E, Patel, T, Pearson-Stuttard, J, Perico, N, Petzold, M, Pishgar, F, Pourmalek, F, Qorbani, M, Rahimi-Movaghar, V, Rai, RK, Rana, SM, Rawaf, DL, Rawaf, S, Remuzzi, G, Renzaho, AMNN, Rezaei, S, Roshandel, G, Bacher, DR, Safdarian, M, Safi, S, Safiri, S, Sahraian, MA, Salamati, P, Samy, AM, Sanabria, JR, Dolores Sanchez-Nino, M, Milicevic, MMS, Sartorius, B, Sepanlou, SG, Shaikh, MA, Santos Silva, DA, Alves Silveira, DG, Sobaih, BHA, Abdulkader, RS, Tabares-Seisdedos, R, Tehrani-Banihashemi, A, Temsah, M-H, Topor-Madry, R, Tran, BX, Ukwaja, KN, Uthman, OA, van Boven, JFM, Wakayo, T, Werdecker, A, Workicho, A, Yaghoubi, M, Yano, Y, Yaseri, M, Yonemoto, N, Younis, MZ, Zhang, AL, Jumaan, AO, Vos, T, Naghavi, M, Hay, SI, and Murray, CJL
Abstract: OBJECTIVES: We used findings from the Global Burden of Disease 2015 study to update our previous publication on the burden of diabetes and chronic kidney disease due to diabetes (CKD-DM) during 1990-2015. METHODS: We extracted GBD 2015 estimates for prevalence, mortality, and disability-adjusted life years (DALYs) of diabetes (including burden of low vision due to diabetes, neuropathy, and amputations and CKD-DM for 22 countries of the EMR from the GBD visualization tools. RESULTS: In 2015, 135,230 (95% UI 123,034-148,184) individuals died from diabetes and 16,470 (95% UI 13,977-18,961) from CKD-DM, 216 and 179% increases, respectively, compared to 1990. The total number of people with diabetes was 42.3 million (95% UI 38.6-46.4 million) in 2015. DALY rates of diabetes in 2015 were significantly higher than the expected rates based on Socio-demographic Index (SDI). CONCLUSIONS: Our study showed a large and increasing burden of diabetes in the region. There is an urgency in dealing with diabetes and its consequences, and these efforts should be at the forefront of health prevention and promotion.
Published: 2018

15. Burden of obesity in the Eastern Mediterranean Region: findings from the Global Burden of Disease 2015 study

Author: Mokdad, AH, El Bcheraoui, C, Afshin, A, Charara, R, Khalil, I, Moradi-Lakeh, M, Kassebaum, NJ, Collison, M, Daoud, F, Krohn, KJ, Chew, A, Biryukov, SH, Cornaby, L, Foreman, KJ, Kutz, M, Liu, P, Reitsma, M, Sur, P, Wang, H, Zipkin, B, Arnlov, J, Abbafati, C, Abdulle, AM, Abu-Rmeileh, NME, Ahmed, MB, Al-Aly, Z, Alam, K, Alizadeh-Navaei, R, Alkerwi, A, Altirkawi, KA, Alvis-Guzman, N, Baune, BT, Bedi, N, Bennett, DA, Beyene, AS, Bhutta, ZA, Birhanu, MM, Danawi, H, Fereshtehnejad, S-M, Fischer, F, Gebrehiwot, TT, Gill, PS, Gona, PN, Gupta, V, Habtewold, TD, Hamadeh, RR, Hamidi, S, Hareri, HA, Horino, M, Hsairi, M, Javanbakht, M, John, D, Jonas, JB, Joshua, V, Kasaeian, A, Ketema, EB, Khader, YS, Khan, EA, Khubchandani, J, Kim, D, Kim, YJ, Kinfu, Y, Kokubo, Y, Larson, HJ, Lee, PH, Lunevicius, R, Abd El Razek, HM, Abd El Razek, MM, Malekzadeh, R, Mate, KK, Memish, ZA, Mengistie, MA, Mensah, GA, Ogbo, FA, Pourmalek, F, Rafay, A, Qorbani, M, Rahimi-Movaghar, V, Rana, SM, Rawaf, S, Renzaho, AMN, Rezaei, S, Rezai, MS, Safdarian, M, Sahraian, MA, Salamati, P, Samy, AM, Sanabria, JR, Milicevic, MMS, Sartorius, B, Sepanlou, SG, Shaikh, MA, Shiri, R, Santos Silva, DA, Singh, JA, Terkawi, AS, Tiruye, TY, Ukwaja, KN, Vasankari, T, Vlassov, VV, Wakayo, T, Werdecker, A, Yonemoto, N, Younis, MZ, Zein, B, Jumaan, AO, Vos, T, Hay, SI, Naghavi, M, Murray, CJL, Mokdad, AH, El Bcheraoui, C, Afshin, A, Charara, R, Khalil, I, Moradi-Lakeh, M, Kassebaum, NJ, Collison, M, Daoud, F, Krohn, KJ, Chew, A, Biryukov, SH, Cornaby, L, Foreman, KJ, Kutz, M, Liu, P, Reitsma, M, Sur, P, Wang, H, Zipkin, B, Arnlov, J, Abbafati, C, Abdulle, AM, Abu-Rmeileh, NME, Ahmed, MB, Al-Aly, Z, Alam, K, Alizadeh-Navaei, R, Alkerwi, A, Altirkawi, KA, Alvis-Guzman, N, Baune, BT, Bedi, N, Bennett, DA, Beyene, AS, Bhutta, ZA, Birhanu, MM, Danawi, H, Fereshtehnejad, S-M, Fischer, F, Gebrehiwot, TT, Gill, PS, Gona, PN, Gupta, V, Habtewold, TD, Hamadeh, RR, Hamidi, S, Hareri, HA, Horino, M, Hsairi, M, Javanbakht, M, John, D, Jonas, JB, Joshua, V, Kasaeian, A, Ketema, EB, Khader, YS, Khan, EA, Khubchandani, J, Kim, D, Kim, YJ, Kinfu, Y, Kokubo, Y, Larson, HJ, Lee, PH, Lunevicius, R, Abd El Razek, HM, Abd El Razek, MM, Malekzadeh, R, Mate, KK, Memish, ZA, Mengistie, MA, Mensah, GA, Ogbo, FA, Pourmalek, F, Rafay, A, Qorbani, M, Rahimi-Movaghar, V, Rana, SM, Rawaf, S, Renzaho, AMN, Rezaei, S, Rezai, MS, Safdarian, M, Sahraian, MA, Salamati, P, Samy, AM, Sanabria, JR, Milicevic, MMS, Sartorius, B, Sepanlou, SG, Shaikh, MA, Shiri, R, Santos Silva, DA, Singh, JA, Terkawi, AS, Tiruye, TY, Ukwaja, KN, Vasankari, T, Vlassov, VV, Wakayo, T, Werdecker, A, Yonemoto, N, Younis, MZ, Zein, B, Jumaan, AO, Vos, T, Hay, SI, Naghavi, M, and Murray, CJL
Abstract: OBJECTIVES: We used the Global Burden of Disease (GBD) 2015 study results to explore the burden of high body mass index (BMI) in the Eastern Mediterranean Region (EMR). METHODS: We estimated the prevalence of overweight and obesity among children (2-19 years) and adults (≥20 years) in 1980 and 2015. The burden of disease related to high BMI was calculated using the GBD comparative risk assessment approach. RESULTS: The prevalence of obesity increased for adults from 15.1% (95% UI 13.4-16.9) in 1980 to 20.7% (95% UI 18.8-22.8) in 2015. It increased from 4.1% (95% UI 2.9-5.5) to 4.9% (95% UI 3.6-6.4) for the same period among children. In 2015, there were 417,115 deaths and 14,448,548 disability-adjusted life years (DALYs) attributable to high BMI in EMR, which constitute about 10 and 6.3% of total deaths and DALYs, respectively, for all ages. CONCLUSIONS: This is the first study to estimate trends in obesity burden for the EMR from 1980 to 2015. We call for EMR countries to invest more resources in prevention and health promotion efforts to reduce this burden.
Published: 2018

16. Burden of cardiovascular diseases in the Eastern Mediterranean Region, 1990-2015: findings from the Global Burden of Disease 2015 study

Author: Mokdad, AH, Tehrani-Banihashemi, A, Moradi-Lakeh, M, El Bcheraoui, C, Charara, R, Khalil, I, Afshin, A, Collison, M, Daoud, F, Krohn, KJ, Chew, A, Cornaby, L, Foreman, KJ, Frostad, J, Kassebaum, NJ, Kemmer, L, Kutz, M, Liu, P, Mirarefin, M, Nguyen, G, Wang, H, Zipkin, B, Abajobir, AA, Abouzeid, M, Abu-Rmeileh, NME, Kiadaliri, AA, Ahmed, MB, Aksut, B, Alam, K, Alasfoor, D, Ali, R, Alizadeh-Navaei, R, Al-Raddadi, R, Alsharif, U, Altirkawi, KA, Alvis-Guzman, N, Anber, N, Anwari, P, Arnlov, J, Asgedom, SW, Atey, TM, Awasthi, A, Baernighausen, T, Bacha, U, Barac, A, Barker-Collo, SL, Bedi, N, Bennett, DA, Berhe, DF, Biadgilign, S, Butt, ZA, Carapetis, JR, Estanislao Castro, R, Chitheer, AA, Davletov, K, Dharmaratne, SD, Djalalinia, S, Huyen, PD, Dubey, M, Ebrahimi, H, Eshrati, B, Esteghamati, A, Farvid, MS, Fereshtehnejad, S-M, Fischer, F, Gebrehiwot, SW, Gebrehiwot, TT, Gillum, RF, Gona, PN, Gupta, R, Hafezi-Nejad, N, Hamadeh, RR, Hamidi, S, Hsairi, M, Jee, SH, Jonas, JB, Karimkhani, C, Kasaeian, A, Khader, YS, Khan, EA, Kim, D, Lal, DK, Larson, HJ, Latif, AA, Linn, S, Lotufo, PA, Lunevicius, R, Abd El Razek, HM, Majeed, A, Malekzadeh, R, Malta, DC, Meier, T, Memiah, P, Memish, ZA, Mendoza, W, Mensah, GA, Meretoja, A, Miller, TR, Mirrakhimov, EM, Mohammed, S, Quyen, LN, Vuong, MN, Pearson-Stuttard, J, Pishgar, F, Pourmalek, F, Qorbani, M, Radfar, A, Rafay, A, Rahimi-Movaghar, V, Rai, RK, Rana, SM, Rawaf, DL, Rawaf, S, Renzaho, AMN, Rezaei, S, Roba, KT, Roshandel, G, Safdarian, M, Safi, S, Safiri, S, Sahraian, MA, Salamati, P, Samy, AM, Milicevic, MMS, Sartorius, B, Sepanlou, SG, Shaikh, MA, Santos Silva, DA, Singh, JA, Sobaih, BHA, Stroumpoulis, K, Abdulkader, RS, Szoeke, CEI, Temsah, M-H, Tran, BX, Ukwaja, KN, Uthman, OA, Vasankari, T, Vlassov, VV, Vollset, SE, Wakayo, T, Weintraub, RG, Wessly, PR, Wijeratne, T, Wolfe, CDA, Workicho, A, Yaghoubi, M, Yano, Y, Yaseri, M, Yonemoto, N, Younis, MZ, Yu, C, Zaki, MES, Jumaan, AO, Vos, T, Roth, GA, Hay, SI, Naghavi, M, Murray, CJL, Mokdad, AH, Tehrani-Banihashemi, A, Moradi-Lakeh, M, El Bcheraoui, C, Charara, R, Khalil, I, Afshin, A, Collison, M, Daoud, F, Krohn, KJ, Chew, A, Cornaby, L, Foreman, KJ, Frostad, J, Kassebaum, NJ, Kemmer, L, Kutz, M, Liu, P, Mirarefin, M, Nguyen, G, Wang, H, Zipkin, B, Abajobir, AA, Abouzeid, M, Abu-Rmeileh, NME, Kiadaliri, AA, Ahmed, MB, Aksut, B, Alam, K, Alasfoor, D, Ali, R, Alizadeh-Navaei, R, Al-Raddadi, R, Alsharif, U, Altirkawi, KA, Alvis-Guzman, N, Anber, N, Anwari, P, Arnlov, J, Asgedom, SW, Atey, TM, Awasthi, A, Baernighausen, T, Bacha, U, Barac, A, Barker-Collo, SL, Bedi, N, Bennett, DA, Berhe, DF, Biadgilign, S, Butt, ZA, Carapetis, JR, Estanislao Castro, R, Chitheer, AA, Davletov, K, Dharmaratne, SD, Djalalinia, S, Huyen, PD, Dubey, M, Ebrahimi, H, Eshrati, B, Esteghamati, A, Farvid, MS, Fereshtehnejad, S-M, Fischer, F, Gebrehiwot, SW, Gebrehiwot, TT, Gillum, RF, Gona, PN, Gupta, R, Hafezi-Nejad, N, Hamadeh, RR, Hamidi, S, Hsairi, M, Jee, SH, Jonas, JB, Karimkhani, C, Kasaeian, A, Khader, YS, Khan, EA, Kim, D, Lal, DK, Larson, HJ, Latif, AA, Linn, S, Lotufo, PA, Lunevicius, R, Abd El Razek, HM, Majeed, A, Malekzadeh, R, Malta, DC, Meier, T, Memiah, P, Memish, ZA, Mendoza, W, Mensah, GA, Meretoja, A, Miller, TR, Mirrakhimov, EM, Mohammed, S, Quyen, LN, Vuong, MN, Pearson-Stuttard, J, Pishgar, F, Pourmalek, F, Qorbani, M, Radfar, A, Rafay, A, Rahimi-Movaghar, V, Rai, RK, Rana, SM, Rawaf, DL, Rawaf, S, Renzaho, AMN, Rezaei, S, Roba, KT, Roshandel, G, Safdarian, M, Safi, S, Safiri, S, Sahraian, MA, Salamati, P, Samy, AM, Milicevic, MMS, Sartorius, B, Sepanlou, SG, Shaikh, MA, Santos Silva, DA, Singh, JA, Sobaih, BHA, Stroumpoulis, K, Abdulkader, RS, Szoeke, CEI, Temsah, M-H, Tran, BX, Ukwaja, KN, Uthman, OA, Vasankari, T, Vlassov, VV, Vollset, SE, Wakayo, T, Weintraub, RG, Wessly, PR, Wijeratne, T, Wolfe, CDA, Workicho, A, Yaghoubi, M, Yano, Y, Yaseri, M, Yonemoto, N, Younis, MZ, Yu, C, Zaki, MES, Jumaan, AO, Vos, T, Roth, GA, Hay, SI, Naghavi, M, and Murray, CJL
Abstract: OBJECTIVES: To report the burden of cardiovascular diseases (CVD) in the Eastern Mediterranean Region (EMR) during 1990-2015. METHODS: We used the 2015 Global Burden of Disease study for estimates of mortality and disability-adjusted life years (DALYs) of different CVD in 22 countries of EMR. RESULTS: A total of 1.4 million CVD deaths (95% UI: 1.3-1.5) occurred in 2015 in the EMR, with the highest number of deaths in Pakistan (465,116) and the lowest number of deaths in Qatar (723). The age-standardized DALY rate per 100,000 decreased from 10,080 in 1990 to 8606 in 2015 (14.6% decrease). Afghanistan had the highest age-standardized DALY rate of CVD in both 1990 and 2015. Kuwait and Qatar had the lowest age-standardized DALY rates of CVD in 1990 and 2015, respectively. High blood pressure, high total cholesterol, and high body mass index were the leading risk factors for CVD. CONCLUSIONS: The age-standardized DALY rates in the EMR are considerably higher than the global average. These findings call for a comprehensive approach to prevent and control the burden of CVD in the region.
Published: 2018

17. Global, regional, and national burden of neurological disorders during 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015

Author: Feigin, VL, Abajobir, AA, Abate, KH, Abd-Allah, F, Abdulle, AM, Abera, SF, Abyu, GY, Ahmed, MB, Aichour, AN, Aichour, I, Aichour, MTE, Akinyemi, RO, Alabed, S, Al-Raddadi, R, Alvis-Guzman, N, Amare, AT, Ansari, H, Anwari, P, Arnlov, J, Asayesh, H, Asgedom, SW, Atey, TM, Avila-Burgos, L, Avokpaho, EFGA, Azarpazhooh, MR, Barac, A, Barboza, M, Barker-Collo, SL, Baernighausen, T, Bedi, N, Beghi, E, Bennett, DA, Bensenor, IM, Berhane, A, Betsu, BD, Bhaumik, S, Birlik, SM, Biryukov, S, Boneya, DJ, Bulto, LN, Carabin, H, Casey, D, Castaneda-Orjuela, CA, Catala-Lopez, F, Chen, H, Chitheer, AA, Chowdhury, R, Christensen, H, Dandona, L, Dandona, R, deVeber, GA, Dharmaratne, SD, Do, HP, Dokova, K, Dorsey, ER, Ellenbogen, RG, Eskandarieh, S, Farvid, MS, Fereshtehnejad, S-M, Fischer, F, Foreman, KJ, Geleijnse, JM, Gillum, RF, Giussani, G, Goldberg, EM, Gona, PN, Goulart, AC, Gugnani, HC, Gupta, R, Hachinski, V, Hamadeh, RR, Hambisa, M, Hankey, GJ, Hareri, HA, Havmoeller, R, Hay, SI, Heydarpour, P, Hotez, PJ, Jakovljevic, MMB, Javanbakht, M, Jeemon, P, Jonas, JB, Kalkonde, Y, Kandel, A, Karch, A, Kasaeian, A, Kastor, A, Keiyoro, PN, Khader, YS, Khalil, IA, Khan, EA, Khang, Y-H, Khoja, AT, Khubchandani, J, Kulkarni, C, Kim, D, Kim, YJ, Kivimaki, M, Kokubo, Y, Kosen, S, Kravchenko, M, Krishnamurthi, RV, Defo, BK, Kumar, GA, Kumar, R, Kyu, HH, Larsson, A, Lavados, PM, Li, Y, Liang, X, Liben, ML, Lo, WD, Logroscino, G, Lotufo, PA, Loy, CT, Mackay, MT, Abd El Razek, HM, Abd El Razek, MM, Majeed, A, Malekzadeh, R, Manhertz, T, Mantovani, LG, Massano, J, Mazidi, M, McAlinden, C, Mehata, S, Mehndiratta, MM, Memish, ZA, Mendoza, W, Mengistie, MA, Mensah, GA, Meretoja, A, Mezgebe, HB, Miller, TR, Mishra, SR, Ibrahim, NM, Mohammadi, A, Mohammed, KE, Mohammed, S, Mokdad, AH, Moradi-Lakeh, M, Velasquez, IM, Musa, KI, Naghavi, M, Ngunjiri, JW, Nguyen, CT, Nguyen, G, Nguyen, QL, Nguyen, TH, Nichols, E, Ningrum, DN, Nong, VM, Norrving, B, Noubiap, JJN, Ogbo, FA, Owolabi, MO, Pandian, JD, Parmar, PG, Pereira, DM, Petzold, M, Phillips, MR, Piradov, MA, Poulton, RG, Pourmalek, F, Qorbani, M, Rafay, A, Rahman, M, Rahman, MH, Rai, RK, Rajsic, S, Ranta, A, Rawaf, S, Renzaho, AMN, Rezai, MS, Roth, GA, Roshandel, G, Rubagotti, E, Sachdev, P, Safiri, S, Sahathevan, R, Sahraian, MA, Samy, AM, Santalucia, P, Santos, IS, Sartorius, B, Satpathy, M, Sawhney, M, Saylan, MI, Sepanlou, SG, Shaikh, MA, Shakir, R, Shamsizadeh, M, Sheth, KN, Shigematsu, M, Shoman, H, Silva, DA, Smith, M, Sobngwi, E, Sposato, LA, Stanaway, JD, Stein, DJ, Steiner, TJ, Stovner, LJ, Abdulkader, RS, Szoeke, CEI, Tabares-Seisdedos, R, Tanne, D, Theadom, AM, Thrift, AG, Tirschwell, DL, Topor-Madry, R, Tran, BX, Truelsen, T, Tuem, KB, Ukwaja, KN, Uthman, OA, Varakin, YY, Vasankari, T, Venketasubramanian, N, Vlassov, VV, Wadilo, F, Wakayo, T, Wallin, MT, Weiderpass, E, Westerman, R, Wijeratne, T, Wiysonge, CS, Woldu, MA, Wolfe, CDA, Xavier, D, Xu, G, Yano, Y, Yimam, HH, Yonemoto, N, Yu, C, Zaidi, Z, Zaki, MES, Zunt, JR, Murray, CJL, Vos, T, Disorders, GBDN, Feigin, V, Abajobir, A, Abate, K, Abd-Allah, F, Abdulle, A, Abera, S, Abyu, G, Ahmed, M, Aichour, A, Aichour, I, Aichour, M, Akinyemi, R, Alabed, S, Al-Raddadi, R, Alvis-Guzman, N, Amare, A, Ansari, H, Anwari, P, Ärnlöv, J, Asayesh, H, Asgedom, S, Atey, T, Avila-Burgos, L, Frinel, E, Avokpaho, G, Barac, A, Barboza, M, Barker-Collo, S, Bärnighausen, T, Bedi, N, Beghi, E, Bennett, D, Bensenor, I, Berhane, A, Betsu, B, Bhaumik, S, Birlik, S, Biryukov, S, Boneya, D, Bulto, L, Carabin, H, Casey, D, Castañeda-Orjuela, C, Catalá-López, F, Chen, H, Chitheer, A, Chowdhury, R, Christensen, H, Dandona, L, Dandona, R, Veber, G, Dharmaratne, S, Do, H, Dokova, K, Dorsey, E, Ellenbogen, R, Eskandarieh, S, Farvid, M, Fereshtehnejad, S, Fischer, F, Foreman, K, Geleijnse, J, Gillum, R, Giussani, G, Gona, P, Goulart, A, Gugnani, H, Gupta, R, Hamadeh, R, Hambisa, M, Hankey, G, Hareri, H, Havmoeller, R, Hay, S, Heydarpour, P, Hotez, P, Jakovljevic, M, Javanbakht, M, Jeemon, P, Jonas, J, Kalkonde, Y, Kandel, A, Karch, A, Kasaeian, A, Kastor, A, Keiyoro, P, Khader, Y, Khalil, I, Khan, E, Khang, Y, Tawfih, A, Khoja, A, Khubchandani, J, Kim, D, Kim, Y, Kivimaki, M, Kokubo, Y, Kosen, S, Kravchenko, M, Krishnamurthi, R, Defo, B, Kumar, G, Kumar, R, Kyu, H, Larsson, A, Lavados, P, Li, Y, Liang, X, Liben, M, Lo, W, Logroscino, G, Lotufo, P, Loy, C, Mackay, M, El Razek, H, El Razek, M, Majeed, A, Malekzadeh, R, Manhertz, T, Mantovani, L, Massano, J, Mazidi, M, Mcalinden, C, Mehata, S, Mehndiratta, M, Memish, Z, Mendoza, W, Mengistie, M, Mensah, G, Meretoja, A, Mezgebe, H, Miller, T, Mishra, S, Ibrahim, N, Mohammadi, A, Mohammed, K, Mohammed, S, Mokdad, A, Moradi-Lakeh, M, Velasquez, I, Musa, K, Naghavi, M, Ngunjiri, J, Nguyen, C, Nguyen, G, Le Nguyen, Q, Nguyen, T, Nichols, E, Ningrum, D, Nong, V, Norrving, B, Noubiap, J, Ogbo, F, Owolabi, M, Pandian, J, Petzold, M, Phillips, M, Piradov, M, Poulton, R, Pourmalek, F, Qorbani, M, Rafay, A, Rahman, M, Rai, R, Rajsic, S, Ranta, A, Rawaf, S, Renzaho, A, Rezai, M, Roshandel, G, Rubagotti, E, Sachdev, P, Safiri, S, Sahathevan, R, Sahraian, M, Samy, A, Santalucia, P, Santos, I, Sartorius, B, Satpathy, M, Sawhney, M, Saylan, M, Sepanlou, S, Shaikh, M, Shakir, R, Shamsizadeh, M, Sheth, K, Shigematsu, M, Shoman, H, Silva, D, Smith, M, Sobngwi, E, Sposato, L, Stein, D, Steiner, T, Stovner, L, Abdulkader, R, EI Szoeke, C, Tabarés-Seisdedos, R, Tanne, D, Theadom, A, Thrift, A, Tirschwell, D, Topor-Madry, R, Tran, B, Truelsen, T, Tuem, K, Ukwaja, K, Uthman, O, Varakin, Y, Vasankari, T, Venketasubramanian, N, Vlassov, V, Wadilo, F, Wakayo, T, Wallin, M, Weiderpass, E, Westerman, R, Wijeratne, T, Wiysonge, C, Woldu, M, Wolfe, C, Xavier, D, Xu, G, Yano, Y, Yimam, H, Yonemoto, N, Yu, C, Zaidi, Z, El Sayed Zaki, M, Zunt, J, Murray, C, and Vos, T
Subjects: Cost of Illness, Nutrition and Disease, GBD, Voeding en Ziekte, Humans, Life Science, Quality-Adjusted Life Years, Nervous System Diseases, Global Health, Article, Global Burden of Disease, VLAG
Abstract: Background Comparable data on the global and country-specific burden of neurological disorders and their trends are\ud crucial for health-care planning and resource allocation. The Global Burden of Diseases, Injuries, and Risk Factors\ud (GBD) Study provides such information but does not routinely aggregate results that are of interest to clinicians\ud specialising in neurological conditions. In this systematic analysis, we quantified the global disease burden due to\ud neurological disorders in 2015 and its relationship with country development level.\ud \ud Methods We estimated global and country-specific prevalence, mortality, disability-adjusted life-years (DALYs), years\ud of life lost (YLLs), and years lived with disability (YLDs) for various neurological disorders that in the GBD classification\ud have been previously spread across multiple disease groupings. The more inclusive grouping of neurological\ud disorders included stroke, meningitis, encephalitis, tetanus, Alzheimer’s disease and other dementias, Parkinson’s\ud disease, epilepsy, multiple sclerosis, motor neuron disease, migraine, tension-type headache, medication overuse\ud headache, brain and nervous system cancers, and a residual category of other neurological disorders. We also analysed\ud results based on the Socio-demographic Index (SDI), a compound measure of income per capita, education, and\ud fertility, to identify patterns associated with development and how countries fare against expected outcomes relative\ud to their level of development.\ud \ud Findings Neurological disorders ranked as the leading cause group of DALYs in 2015 (250·7 [95% uncertainty interval\ud (UI) 229·1 to 274·7] million, comprising 10·2% of global DALYs) and the second-leading cause group of deaths (9·4\ud [9·1 to 9·7] million], comprising 16·8% of global deaths). The most prevalent neurological disorders were tensiontype\ud headache (1505·9 [UI 1337·3 to 1681·6 million cases]), migraine (958·8 [872·1 to 1055·6] million), medication\ud overuse headache (58·5 [50·8 to 67·4 million]), and Alzheimer’s disease and other dementias (46·0\ud [40·2 to 52·7 million]). Between 1990 and 2015, the number of deaths from neurological disorders increased by\ud 36·7%, and the number of DALYs by 7·4%. These increases occurred despite decreases in age-standardised rates of\ud death and DALYs of 26·1% and 29·7%, respectively; stroke and communicable neurological disorders were\ud responsible for most of these decreases. Communicable neurological disorders were the largest cause of DALYs in\ud countries with low SDI. Stroke rates were highest at middle levels of SDI and lowest at the highest SDI. Most of the\ud changes in DALY rates of neurological disorders with development were driven by changes in YLLs.\ud \ud Interpretation Neurological disorders are an important cause of disability and death worldwide. Globally, the burden\ud of neurological disorders has increased substantially over the past 25 years because of expanding population numbers\ud and ageing, despite substantial decreases in mortality rates from stroke and communicable neurological disorders.\ud The number of patients who will need care by clinicians with expertise in neurological conditions will continue to\ud grow in coming decades. Policy makers and health-care providers should be aware of these trends to provide adequate\ud services.\ud \ud Funding Bill & Melinda Gates Foundation.
Published: 2017

18. Healthcare Access and Quality Index based on mortality from causes amenable to personal health care in 195 countries and territories, 1990–2015: a novel analysis from the Global Burden of Disease Study 2015

Author: Barber, RM, Fullman, N, Sorensen, RJD, Bollyky, T, McKee, M, Nolte, E, Abajobir, AA, Abate, KH, Abbafati, C, Abbas, KM, Abd-Allah, F, Abdulle, AM, Abdurahman, AA, Abera, SF, Abraham, B, Abreha, GF, Adane, K, Adelekan, AL, Adetifa, IMO, Afshin, A, Agarwal, A, Agarwal, SK, Agarwal, S, Agrawal, A, Kiadaliri, AA, Ahmadi, A, Ahmed, KY, Ahmed, MB, Akinyemi, RO, Akinyemiju, TF, Akseer, N, Al-Aly, Z, Alam, K, Alam, N, Alam, SS, Alemu, ZA, Alene, KA, Alexander, L, Ali, R, Ali, SD, Alizadeh-Navaei, R, Alkerwi, A, Alla, F, Allebeck, P, Allen, C, Al-Raddadi, R, Alsharif, U, Altirkawi, KA, Martin, EA, Alvis-Guzman, N, Amare, AT, Amini, E, Ammar, W, Amo-Adjei, J, Amoako, YA, Anderson, BO, Androudi, S, Ansari, H, Ansha, MG, Antonio, CAT, Ärnlöv, J, Artaman, A, Asayesh, H, Assadi, R, Astatkie, A, Atey, TM, Atique, S, Atnafu, NT, Atre, SR, Avila-Burgos, L, Avokpaho, EFGA, Quintanilla, BPA, Awasthi, A, Ayele, NN, Azzopardi, P, Saleem, HOB, Bärnighausen, T, Bacha, U, Badawi, A, Banerjee, A, Barac, A, Barboza, MA, Barker-Collo, SL, Barrero, LH, Basu, S, Baune, BT, Baye, K, Bayou, YT, Bazargan-Hejazi, S, Bedi, N, Beghi, E, Béjot, Y, Bello, AK, Bennett, DA, Bensenor, IM, Berhane, A, Bernabé, E, Bernal, OA, Beyene, AS, Beyene, TJ, Bhutta, ZA, Biadgilign, S, Bikbov, B, Birlik, SM, Birungi, C, Biryukov, S, Bisanzio, D, Bizuayehu, HM, Bose, D, Brainin, M, Brauer, M, Brazinova, A, Breitborde, NJK, Brenner, H, Butt, ZA, Cárdenas, R, Cahuana-Hurtado, L, Campos-Nonato, IR, Car, J, Carrero, JJ, Casey, D, Caso, V, Castañeda-Orjuela, CA, Rivas, JC, Catalá-López, F, Cecilio, P, Cercy, K, Charlson, FJ, Chen, AZ, Chew, A, Chibalabala, M, Chibueze, CE, Chisumpa, VH, Chitheer, AA, Chowdhury, R, Christensen, H, Christopher, DJ, Ciobanu, LG, Cirillo, M, Coggeshall, MS, Cooper, LT, Cortinovis, M, Crump, JA, Dalal, K, Danawi, H, Dandona, L, Dandona, R, Dargan, PI, das Neves, J, Davey, G, Davitoiu, DV, Davletov, K, De Leo, D, Del Gobbo, LC, del Pozo-Cruz, B, Dellavalle, RP, Deribe, K, Deribew, A, Des Jarlais, DC, Dey, S, Dharmaratne, SD, Dicker, D, Ding, EL, Dokova, K, Dorsey, ER, Doyle, KE, Dubey, M, Ehrenkranz, R, Ellingsen, CL, Elyazar, I, Enayati, A, Ermakov, SP, Eshrati, B, Esteghamati, A, Estep, K, Fürst, T, Faghmous, IDA, Fanuel, FBB, Faraon, EJA, Farid, TA, Farinha, CSES, Faro, A, Farvid, MS, Farzadfar, F, Feigin, VL, Feigl, AB, Fereshtehnejad, S-M, Fernandes, JG, Fernandes, JC, Feyissa, TR, Fischer, F, Fitzmaurice, C, Fleming, TD, Foigt, N, Foreman, KJ, Forouzanfar, MH, Franklin, RC, Frostad, J, G/hiwot, TT, Gakidou, E, Gambashidze, K, Gamkrelidze, A, Gao, W, Garcia-Basteiro, AL, Gebre, T, Gebremedhin, AT, Gebremichael, MW, Gebru, AA, Gelaye, AA, Geleijnse, JM, Genova-Maleras, R, Gibney, KB, Giref, AZ, Gishu, MD, Giussani, G, Godwin, WW, Gold, A, Goldberg, EM, Gona, PN, Goodridge, A, Gopalani, SV, Goto, A, Graetz, N, Greaves, F, Griswold, M, Guban, PI, Gugnani, HC, Gupta, PC, Gupta, R, Gupta, T, Gupta, V, Habtewold, TD, Hafezi-Nejad, N, Haile, D, Hailu, AD, Hailu, GB, Hakuzimana, A, Hamadeh, RR, Hambisa, MT, Hamidi, S, Hammami, M, Hankey, GJ, Hao, Y, Harb, HL, Hareri, HA, Haro, JM, Hassanvand, MS, Havmoeller, R, Hay, RJ, Hay, SI, Hendrie, D, Heredia-Pi, IB, Hoek, HW, Horino, M, Horita, N, Hosgood, HD, Htet, AS, Hu, G, Huang, H, Huang, JJ, Huntley, BM, Huynh, C, Iburg, KM, Ileanu, BV, Innos, K, Irenso, AA, Jahanmehr, N, Jakovljevic, MB, James, P, James, SL, Javanbakht, M, Jayaraman, SP, Jayatilleke, AU, Jeemon, P, Jha, V, John, D, Johnson, C, Johnson, SC, Jonas, JB, Juel, K, Kabir, Z, Kalkonde, Y, Kamal, R, Kan, H, Karch, A, Karema, CK, Karimi, SM, Kasaeian, A, Kassebaum, NJ, Kastor, A, Katikireddi, SV, Kazanjan, K, Keiyoro, PN, Kemmer, L, Kemp, AH, Kengne, AP, Kerbo, AA, Kereselidze, M, Kesavachandran, CN, Khader, YS, Khalil, I, Khan, AR, Khan, EA, Khan, G, Khang, Y-H, Khoja, ATA, Khonelidze, I, Khubchandani, J, Kibret, GD, Kim, D, Kim, P, Kim, YJ, Kimokoti, RW, Kinfu, Y, Kissoon, N, Kivipelto, M, Kokubo, Y, Kolk, A, Kolte, D, Kopec, 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K, Petzold, M, Phillips, MR, Pigott, DM, Pillay, JD, Pinho, C, Polinder, S, Pond, CD, Prakash, V, Purwar, M, Qorbani, M, Quistberg, DA, Radfar, A, Rafay, A, Rahimi, K, Rahimi-Movaghar, V, Rahman, M, Rahman, MHU, Rai, RK, Ram, U, Rana, SM, Rankin, Z, Rao, PV, Rao, PC, Rawaf, S, Rego, MAS, Reitsma, M, Remuzzi, G, Renzaho, AMNN, Resnikoff, S, Rezaei, S, Rezai, MS, Ribeiro, AL, Roba, HS, Rokni, MB, Ronfani, L, Roshandel, G, Roth, GA, Rothenbacher, D, Roy, NK, Sachdev, PS, Sackey, BB, Saeedi, MY, Safiri, S, Sagar, R, Sahraian, MA, Saleh, MM, Salomon, JA, Samy, AM, Sanabria, JR, Sanchez-Niño, MD, Sandar, L, Santos, IS, Santos, JV, Milicevic, MMS, Sarmiento-Suarez, R, Sartorius, B, Satpathy, M, Savic, M, Sawhney, M, Saylan, MI, Schöttker, B, Schutte, AE, Schwebel, DC, Seedat, S, Seid, AM, Seifu, CN, Sepanlou, SG, Serdar, B, Servan-Mori, EE, Setegn, T, Shackelford, KA, Shaheen, A, Shahraz, S, Shaikh, MA, Shakh-Nazarova, M, Shamsipour, M, Islam, SMS, Sharma, J, Sharma, R, She, J, 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Vasankari, T, Venketasubramanian, N, Violante, FS, Vladimirov, SK, Vlassov, VV, Vollset, SE, Vos, T, Wagner, JA, Wakayo, T, Waller, SG, Walson, JL, Wang, H, Wang, Y-P, Watkins, DA, Weiderpass, E, Weintraub, RG, Wen, C-P, Werdecker, A, Wesana, J, Westerman, R, Whiteford, HA, Wilkinson, JD, Wiysonge, CS, Woldeyes, BG, Wolfe, CDA, Won, S, Workicho, A, Workie, SB, Wubshet, M, Xavier, D, Xu, G, Yadav, AK, Yaghoubi, M, Yakob, B, Yan, LL, Yano, Y, Yaseri, M, Yimam, HH, Yip, P, Yonemoto, N, Yoon, S-J, Younis, MZ, Yu, C, Zaidi, Z, El Sayed Zaki, M, Zambrana-Torrelio, C, Zapata, T, Zenebe, ZM, Zodpey, S, Zoeckler, L, Zuhlke, LJ, Murray, CJL, Barber, RM, Fullman, N, Sorensen, RJD, Bollyky, T, McKee, M, Nolte, E, Abajobir, AA, Abate, KH, Abbafati, C, Abbas, KM, Abd-Allah, F, Abdulle, AM, Abdurahman, AA, Abera, SF, Abraham, B, Abreha, GF, Adane, K, Adelekan, AL, Adetifa, IMO, Afshin, A, Agarwal, A, Agarwal, SK, Agarwal, S, Agrawal, A, Kiadaliri, AA, Ahmadi, A, Ahmed, KY, Ahmed, MB, Akinyemi, RO, Akinyemiju, TF, Akseer, N, Al-Aly, Z, Alam, K, Alam, N, Alam, SS, Alemu, ZA, Alene, KA, Alexander, L, Ali, R, Ali, SD, Alizadeh-Navaei, R, Alkerwi, A, Alla, F, Allebeck, P, Allen, C, Al-Raddadi, R, Alsharif, U, Altirkawi, KA, Martin, EA, Alvis-Guzman, N, Amare, AT, Amini, E, Ammar, W, Amo-Adjei, J, Amoako, YA, Anderson, BO, Androudi, S, Ansari, H, Ansha, MG, Antonio, CAT, Ärnlöv, J, Artaman, A, Asayesh, H, Assadi, R, Astatkie, A, Atey, TM, Atique, S, Atnafu, NT, Atre, SR, Avila-Burgos, L, Avokpaho, EFGA, Quintanilla, BPA, Awasthi, A, Ayele, NN, Azzopardi, P, Saleem, HOB, Bärnighausen, T, Bacha, U, Badawi, A, Banerjee, A, Barac, A, Barboza, MA, Barker-Collo, SL, Barrero, LH, Basu, S, Baune, BT, Baye, K, Bayou, YT, Bazargan-Hejazi, S, Bedi, N, Beghi, E, Béjot, Y, Bello, AK, Bennett, DA, Bensenor, IM, Berhane, A, Bernabé, E, Bernal, OA, Beyene, AS, Beyene, TJ, Bhutta, ZA, Biadgilign, S, Bikbov, B, Birlik, SM, Birungi, C, Biryukov, S, Bisanzio, D, Bizuayehu, HM, Bose, D, Brainin, M, Brauer, M, Brazinova, A, Breitborde, NJK, Brenner, H, Butt, ZA, Cárdenas, R, Cahuana-Hurtado, L, Campos-Nonato, IR, Car, J, Carrero, JJ, Casey, D, Caso, V, Castañeda-Orjuela, CA, Rivas, JC, Catalá-López, F, Cecilio, P, Cercy, K, Charlson, FJ, Chen, AZ, Chew, A, Chibalabala, M, Chibueze, CE, Chisumpa, VH, Chitheer, AA, Chowdhury, R, Christensen, H, Christopher, DJ, Ciobanu, LG, Cirillo, M, Coggeshall, MS, Cooper, LT, Cortinovis, M, Crump, JA, Dalal, K, Danawi, H, Dandona, L, Dandona, R, Dargan, PI, das Neves, J, Davey, G, Davitoiu, DV, Davletov, K, De Leo, D, Del Gobbo, LC, del Pozo-Cruz, B, Dellavalle, RP, Deribe, K, Deribew, A, Des Jarlais, DC, Dey, S, Dharmaratne, SD, Dicker, D, Ding, EL, Dokova, K, Dorsey, ER, Doyle, KE, Dubey, M, Ehrenkranz, R, Ellingsen, CL, Elyazar, I, Enayati, A, Ermakov, SP, Eshrati, B, Esteghamati, A, Estep, K, Fürst, T, Faghmous, IDA, Fanuel, FBB, Faraon, EJA, Farid, TA, Farinha, CSES, Faro, A, Farvid, MS, Farzadfar, F, Feigin, VL, Feigl, AB, Fereshtehnejad, S-M, Fernandes, JG, Fernandes, JC, Feyissa, TR, Fischer, F, Fitzmaurice, C, Fleming, TD, Foigt, N, Foreman, KJ, Forouzanfar, MH, Franklin, RC, Frostad, J, G/hiwot, TT, Gakidou, E, Gambashidze, K, Gamkrelidze, A, Gao, W, Garcia-Basteiro, AL, Gebre, T, Gebremedhin, AT, Gebremichael, MW, Gebru, AA, Gelaye, AA, Geleijnse, JM, Genova-Maleras, R, Gibney, KB, Giref, AZ, Gishu, MD, Giussani, G, Godwin, WW, Gold, A, Goldberg, EM, Gona, PN, Goodridge, A, Gopalani, SV, Goto, A, Graetz, N, Greaves, F, Griswold, M, Guban, PI, Gugnani, HC, Gupta, PC, Gupta, R, Gupta, T, Gupta, V, Habtewold, TD, Hafezi-Nejad, N, Haile, D, Hailu, AD, Hailu, GB, Hakuzimana, A, Hamadeh, RR, Hambisa, MT, Hamidi, S, Hammami, M, Hankey, GJ, Hao, Y, Harb, HL, Hareri, HA, Haro, JM, Hassanvand, MS, Havmoeller, R, Hay, RJ, Hay, SI, Hendrie, D, Heredia-Pi, IB, Hoek, HW, Horino, M, Horita, N, Hosgood, HD, Htet, AS, Hu, G, Huang, H, Huang, JJ, Huntley, BM, Huynh, C, Iburg, KM, Ileanu, BV, Innos, K, Irenso, AA, Jahanmehr, N, Jakovljevic, MB, James, P, James, SL, Javanbakht, M, Jayaraman, SP, Jayatilleke, AU, Jeemon, P, Jha, V, John, D, Johnson, C, Johnson, SC, Jonas, JB, Juel, K, Kabir, Z, Kalkonde, Y, Kamal, R, Kan, H, Karch, A, Karema, CK, Karimi, SM, Kasaeian, A, Kassebaum, NJ, Kastor, A, Katikireddi, SV, Kazanjan, K, Keiyoro, PN, Kemmer, L, Kemp, AH, Kengne, AP, Kerbo, AA, Kereselidze, M, Kesavachandran, CN, Khader, YS, Khalil, I, Khan, AR, Khan, EA, Khan, G, Khang, Y-H, Khoja, ATA, Khonelidze, I, Khubchandani, J, Kibret, GD, Kim, D, Kim, P, Kim, YJ, Kimokoti, RW, Kinfu, Y, Kissoon, N, Kivipelto, M, Kokubo, Y, Kolk, A, Kolte, D, Kopec, JA, Kosen, S, Koul, PA, Koyanagi, A, Kravchenko, M, Krishnaswami, S, Krohn, KJ, Defo, BK, Bicer, BK, Kuipers, EJ, Kulkarni, VS, Kumar, GA, Kumsa, FA, Kutz, M, Kyu, HH, Lager, ACJ, Lal, A, Lal, DK, Lalloo, R, Lallukka, T, Lan, Q, Langan, SM, Lansingh, VC, Larson, HJ, Larsson, A, Laryea, DO, Latif, AA, Lawrynowicz, AEB, Leasher, JL, Leigh, J, Leinsalu, M, Leshargie, CT, Leung, J, Leung, R, Levi, M, Liang, X, Lim, SS, Lind, M, Linn, S, Lipshultz, SE, Liu, P, Liu, Y, Lo, L-T, Logroscino, G, Lopez, AD, Lorch, SA, Lotufo, PA, Lozano, R, Lunevicius, R, Lyons, RA, Macarayan, ERK, Mackay, MT, El Razek, HMA, El Razek, MMA, Mahdavi, M, Majeed, A, Malekzadeh, R, Malta, DC, Mantovani, LG, Manyazewal, T, Mapoma, CC, Marcenes, W, Marks, GB, Marquez, N, Martinez-Raga, J, Marzan, MB, Massano, J, Mathur, MR, Maulik, PK, Mazidi, M, McAlinden, C, McGrath, JJ, McNellan, C, Meaney, PA, Mehari, A, Mehndiratta, MM, Meier, T, Mekonnen, AB, Meles, KG, Memish, ZA, Mengesha, MM, Mengiste, DT, Mengistie, MA, Menota, BG, Mensah, GA, Mereta, ST, Meretoja, A, Meretoja, TJ, Mezgebe, HB, Micha, R, Millear, A, Mills, EJ, Minnig, S, Mirarefin, M, Mirrakhimov, EM, Mock, CN, Mohammad, KA, Mohammed, S, Mohanty, SK, Mokdad, AH, Mola, GLD, Molokhia, M, Monasta, L, Montico, M, Moradi-Lakeh, M, Moraga, P, Morawska, L, Mori, R, Moses, M, Mueller, UO, Murthy, S, Musa, KI, Nachega, JB, Nagata, C, Nagel, G, Naghavi, M, Naheed, A, Naldi, L, Nangia, V, Nascimento, BR, Negoi, I, Neupane, SP, Newton, CR, Ng, M, Ngalesoni, FN, Ngunjiri, JW, Nguyen, G, Ningrum, DNA, Nolte, S, Nomura, M, Norheim, OF, Norrving, B, Noubiap, JJN, Obermeyer, CM, Ogbo, FA, Oh, I-H, Okoro, A, Oladimeji, O, Olagunju, AT, Olivares, PR, Olsen, HE, Olusanya, BO, Olusanya, JO, Opio, JN, Oren, E, Ortiz, A, Osborne, RH, Osman, M, Owolabi, MO, PA, M, Pain, AW, Pakhale, S, Castillo, EP, Pana, A, Papachristou, C, Parsaeian, M, Patel, T, Patton, GC, Paudel, D, Paul, VK, Pearce, N, Pereira, DM, Perez-Padilla, R, Perez-Ruiz, F, Perico, N, Pesudovs, K, Petzold, M, Phillips, MR, Pigott, DM, Pillay, JD, Pinho, C, Polinder, S, Pond, CD, Prakash, V, Purwar, M, Qorbani, M, Quistberg, DA, Radfar, A, Rafay, A, Rahimi, K, Rahimi-Movaghar, V, Rahman, M, Rahman, MHU, Rai, RK, Ram, U, Rana, SM, Rankin, Z, Rao, PV, Rao, PC, Rawaf, S, Rego, MAS, Reitsma, M, Remuzzi, G, Renzaho, AMNN, Resnikoff, S, Rezaei, S, 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V, Steel, N, Steiner, C, Steinke, S, Stokes, MA, Stranges, S, Strong, M, Stroumpoulis, K, Sturua, L, Sufiyan, MB, Suliankatchi, RA, Sun, J, Sur, P, Swaminathan, S, Sykes, BL, Tabarés-Seisdedos, R, Tabb, KM, Taffere, GR, Talongwa, RT, Tarajia, M, Tavakkoli, M, Taveira, N, Teeple, S, Tegegne, TK, Tehrani-Banihashemi, A, Tekelab, T, Tekle, DY, Shifa, GT, Terkawi, AS, Tesema, AG, Thakur, JS, Thomson, AJ, Tillmann, T, Tiruye, TY, Tobe-Gai, R, Tonelli, M, Topor-Madry, R, Tortajada, M, Troeger, C, Truelsen, T, Tura, AK, Uchendu, US, Ukwaja, KN, Undurraga, EA, Uneke, CJ, Uthman, OA, van Boven, JFM, Van Dingenen, R, Varughese, S, Vasankari, T, Venketasubramanian, N, Violante, FS, Vladimirov, SK, Vlassov, VV, Vollset, SE, Vos, T, Wagner, JA, Wakayo, T, Waller, SG, Walson, JL, Wang, H, Wang, Y-P, Watkins, DA, Weiderpass, E, Weintraub, RG, Wen, C-P, Werdecker, A, Wesana, J, Westerman, R, Whiteford, HA, Wilkinson, JD, Wiysonge, CS, Woldeyes, BG, Wolfe, CDA, Won, S, Workicho, A, Workie, SB, Wubshet, M, Xavier, D, Xu, G, Yadav, AK, Yaghoubi, M, Yakob, B, Yan, LL, Yano, Y, Yaseri, M, Yimam, HH, Yip, P, Yonemoto, N, Yoon, S-J, Younis, MZ, Yu, C, Zaidi, Z, El Sayed Zaki, M, Zambrana-Torrelio, C, Zapata, T, Zenebe, ZM, Zodpey, S, Zoeckler, L, Zuhlke, LJ, and Murray, CJL
Published: 2017

19. Global, regional, and national under-5 mortality, adult mortality, age-specific mortality, and life expectancy, 1970-2016: a systematic analysis for the Global Burden of Disease Study 2016

Author: Wang, H, Abajobir, AA, Abate, KH, Abbafati, C, Abbas, KM, Abd-Allah, F, Abera, SF, Abraha, HN, Abu-Raddad, LJ, Abu-Rmeileh, NME, Adedeji, IA, Adedoyin, RA, Adetifa, IMO, Adetokunboh, O, Afshin, A, Aggarwal, R, Agrawal, A, Agrawal, S, Kiadaliri, AA, Ahmed, MB, Aichour, AN, Aichour, I, Aichour, MTE, Aiyar, S, Akanda, S, Akinyemiju, TF, Akseer, N, Al-Eyadhy, A, Al Lami, FH, Alabed, S, Alahdab, F, Al-Aly, Z, Alam, K, Alam, N, Alasfoor, D, Aldridge, RW, Alene, KA, Alhabib, S, Ali, R, Alizadeh-Navaei, R, Aljunid, SM, Alkaabi, JM, Alkerwi, A, Alla, F, Allam, SD, Allebeck, P, Al-Raddadi, R, Alsharif, U, Altirkawi, KA, Martin, EA, Alvis-Guzman, N, Amare, AT, Ameh, EA, Amini, E, Ammar, W, Amoako, YA, Anber, N, Andrei, CL, Androudi, S, Ansari, H, Ansha, MG, Antonio, CAT, Anwari, P, Arnlov, J, Arora, M, Al, A, Aryal, KK, Asayesh, H, Asgedom, SW, Asghar, RJ, Assadi, R, Atey, TM, Atre, SR, Avila-Burgos, L, Avokpaho, EFGA, Awasthi, A, Quintanilla, BPA, Babalola, TK, Bacha, U, Badawi, A, Balakrishnan, K, Balalla, S, Barac, A, Barber, RM, Barboza, MA, Barker-Collo, SL, Barnighausen, T, Barquera, S, Barregard, L, Barrero, LH, Baune, BT, Bazargan-Hejazi, S, Bedi, N, Beghi, E, Bejot, Y, Bekele, BB, Bell, ML, Bello, AK, Bennett, DA, Bennett, JR, Bensenor, IM, Benson, J, Berhane, A, Berhe, DF, Bernabe, E, Beuran, M, Beyene, AS, Bhala, N, Bhansali, A, Bhaumik, S, Bhutta, ZA, Bikbov, B, Birungi, C, Biryukov, S, Bisanzio, D, Bizuayehu, HM, Bjerregaard, P, Blosser, CD, Boneya, DJ, Boufous, S, Bourne, RRA, Brazinova, A, Breitborde, NJK, Brenner, H, Brugha, TS, Bukhman, G, Negesa, L, Bulto, B, Bumgarner, BR, Burch, M, Butt, ZA, Cahill, LE, Cahuana-Hurtado, L, Campos-Nonato, IR, Car, J, Car, M, Crdenas, R, Carpenter, DO, Carrero, JJ, Carter, A, Castaneda-Orjuela, CA, Rivas, JC, Castro, FF, Castro, RE, Catala-Lopez, F, Chen, H, Chiang, PP-C, Chibalabala, M, Chisumpa, VH, Chitheer, AA, Choi, J-YJ, Christensen, H, Christopher, DJ, Ciobanu, LG, Cirillo, M, Cohen, AJ, Colquhoun, SM, Coresh, J, Criqui, MH, Cromwell, EA, Crump, JA, Dandona, L, Dandona, R, Dargan, PI, das Neves, J, Davey, G, Davitoiu, DV, Davletov, K, de Courten, B, De Leo, D, Degenhardt, L, Deiparine, S, Dellavalle, RP, Deribe, K, Deribew, A, Des Jarlais, DC, Dey, S, Dharmaratne, SD, Dherani, MK, Diaz-Torne, C, Ding, EL, Dixit, P, Djalalinia, S, Huyen, PD, Doku, DT, Donnelly, CA, Priscila, K, dos Santos, B, Douwes-Schultz, D, Driscoll, TR, Duan, L, Dubey, M, Duncan, BB, Dwivedi, LK, Ebrahimi, H, El Bcheraoui, C, Ellingsen, CL, Enayati, A, Endries, AY, Ermakov, SP, Eshetie, S, Eshrati, B, Eskandarieh, S, Esteghamati, A, Estep, K, Fanuel, BBF, Faro, A, Farvid, MS, Farzadfar, F, Feigin, VL, Fereshtehnejad, S-M, Fernandes, JG, Fernandes, JC, Feyissa, TR, Filip, I, Fischer, F, Foigt, N, Foreman, KJ, Frank, T, Franklin, RC, Fraser, M, Friedman, J, Frostad, JJ, Fullman, N, Furst, T, Furtado, JM, Futran, ND, Gakidou, E, Gambashidze, K, Gamkrelidze, A, Gankpe, FG, Garcia-Basteiro, AL, Gebregergs, GB, Gebrehiwot, TT, Gebrekidan, KG, Gebremichael, MW, Gelaye, AA, Geleijnse, JM, Gemechu, BL, Gemechu, KS, Genova-Maleras, R, Gesesew, HA, Gething, PW, Gibney, KB, Gill, PS, Gillum, RF, Giref, AZ, Girma, BW, Giussani, G, Goenka, S, Gomez, B, Gona, PN, Gopalani, SV, Goulart, AC, Graetz, N, Gugnani, HC, Gupta, PC, Gupta, R, Gupta, T, Gupta, V, Haagsma, JA, Hafezi-Nejad, N, Bidgoli, HH, Hakuzimana, A, Halasa, YA, Hamadeh, RR, Hambisa, MT, Hamidi, S, Hammami, M, Hancock, J, Handal, AJ, Hankey, GJ, Hao, Y, Harb, HL, Hareri, HA, Harikrishnan, S, Haro, JM, Hassanvand, MS, Havmoeller, R, Hay, RJ, Hay, SI, He, F, Heredia-Pi, IB, Herteliu, C, Hilawe, EH, Hoek, HW, Horita, N, Hosgood, HD, Hostiuc, S, Hotez, PJ, Hoy, DG, Hsairi, M, Htet, AS, Hu, G, Huang, H, Huang, JJ, Iburg, KM, Igumbor, EU, Ileanu, BV, Inoue, M, Irenso, AA, Irvine, CMS, Islam, N, Jacobsen, KH, Jaenisch, T, Jahanmehr, N, Jakovljevic, MB, Javanbakht, M, Jayatilleke, AU, Jeemon, P, Jensen, PN, Jha, V, Jin, Y, John, D, John, O, Johnson, SC, Jonas, JB, Jurisson, M, Kabir, Z, Kadel, R, Kahsay, A, Kalkonde, Y, Kamal, R, Kan, H, Karch, A, Karema, CK, Karimi, SM, Karthikeyan, G, Kasaeian, A, Kassaw, NA, Kassebaum, NJ, Kastor, A, Katikireddi, SV, Kaul, A, Kawakami, N, Kazanjan, K, Keiyoro, PN, Kelbore, SG, Kemp, AH, Kengne, AP, Keren, A, Kereselidze, M, Kesavachandran, CN, Ketema, EB, Khader, YS, Khalil, IA, Khan, EA, Khan, G, Khang, Y-H, Khera, S, Khoja, ATA, Khosravi, MH, Kibret, GD, Kieling, C, Kim, C-I, Kim, D, Kim, P, Kim, S, Kim, YJ, Kimokoti, RW, Kinfu, Y, Kishawi, S, Kissimova-Skarbek, KA, Kissoon, N, Kivimaki, M, Knudsen, AK, Kokubo, Y, Kopec, JA, Kosen, S, Koul, PA, Koyanagi, A, Kravchenko, M, Krohn, KJ, Defo, BK, Bicer, BK, Kuipers, EJ, Kulikoff, XR, Kulkarni, VS, Kumar, GA, Kumar, P, Kumsa, FA, Kutz, M, Lachat, C, Lagat, AK, Lager, ACJ, Lal, DK, Lalloo, R, Lambert, N, Lan, Q, Lansingh, VC, Larson, HJ, Larsson, A, Laryea, DO, Lavados, PM, Laxmaiah, A, Lee, PH, Leigh, J, Leung, J, Leung, R, Levi, M, Li, Y, Liao, Y, Liben, ML, Lim, SS, Linn, S, Lipshultz, SE, Liu, S, Lodha, R, Logroscino, G, Lorch, SA, Lorkowski, S, Lotufo, PA, Lozano, R, Lunevicius, R, Lyons, RA, Ma, S, Macarayan, ERK, Machado, IE, Mackay, MT, Abd el Razek, MM, Magis-Rodriguez, C, Mahdavi, M, Majdan, M, Majdzadeh, R, Majeed, A, Malekzadeh, R, Malhotra, R, Malta, DC, Mantovani, LG, Manyazewal, T, Mapoma, CC, Marczak, LB, Marks, GB, Martinez-Raga, J, Martins-Melo, FR, Massano, J, Maulik, PK, Mayosi, BM, Mazidi, M, McAlinden, C, McGarvey, ST, McGrath, JJ, Mckee, M, Mehata, S, Mehndiratta, MM, Mehta, KM, Meier, T, Mekonnen, TC, Meles, KG, Memiah, P, Memish, ZA, Mendoza, W, Mengesha, MM, Mengistie, MA, Tadese, D, Menon, MGR, Menota, BG, Mensah, GA, Meretoja, A, Meretoja, TJ, Mezgebe, HB, Micha, R, Mikesell, J, Miller, TR, Mills, EJ, Minnig, S, Mirarefin, M, Mirrakhimov, EM, Misganaw, A, Mishra, SR, Mohammad, KA, Mohammadi, A, Mohammed, KESM, Mohan, MBV, Mohanty, SK, Mokdad, AH, Assaye, AM, Mollenkopf, SK, Molokhia, M, Monasta, L, Hernandez, JCM, Montico, M, Mooney, MD, Moore, AR, Moradi-Lakeh, M, Moraga, P, Morawska, L, Velasquez, IM, Mori, R, Morrison, SD, Mruts, KB, Mueller, UO, Mullany, E, Muller, K, Venkata, G, Murthy, S, Musa, KI, Nachega, JB, Nagata, C, Nagel, G, Naghavi, M, Naidoo, KS, Nanda, L, Nangia, V, Nascimento, BR, Natarajan, G, Negoi, I, Cuong, TN, Ningrum, DNA, Nisar, MI, Nomura, M, Vuong, MN, Norheim, OF, Norrving, B, Noubiap, JJN, Nyakarahuka, L, Obermeyer, CM, O'Donnell, MJ, Ogbo, FA, Oh, I-H, Okoro, A, Oladimeji, O, Olagunju, AT, Olusanya, BO, Olusanya, JO, Oren, E, Ortiz, A, Osgood-Zimmerman, A, Ota, E, Owolabi, MO, Oyekale, AS, Pa, M, Pacella, RE, Pakhale, S, Pana, A, Panda, BK, Panda-Jonas, S, Park, E-K, Parsaeian, M, Patel, T, Patten, SB, Patton, GC, Paudel, D, Pereira, DM, Perez-Padilla, R, Perez-Ruiz, F, Perico, N, Pervaiz, A, Pesudovs, K, Peterson, CB, Petri, WA, Petzold, M, Phillips, MR, Piel, FB, Pigott, DM, Pishgar, F, Plass, D, Polinder, S, Popova, S, Postma, MJ, Poulton, RG, Pourmalek, F, Prasad, N, Purwar, M, Qorbani, M, Rabiee, RHS, Radfar, A, Rafay, A, Rahimi-Movaghar, A, Rahimi-Movaghar, V, Rahman, M, Rahman, MHU, Rahman, SU, Rai, RK, Rajsic, S, Ram, U, Rana, SM, Ranabhat, CL, Rao, PV, Rawaf, S, Ray, SE, Rego, MAS, Rehm, J, Reiner, RC, Remuzzi, G, Renzaho, AMNN, Resnikoff, S, Rezaei, S, Rezai, MS, Ribeiro, AL, Rokni, MB, Ronfani, L, Roshandel, G, Roth, GA, Rothenbacher, D, Roy, A, Rubagotti, E, Ruhago, GM, Saadat, S, Sabde, YD, Sachdev, PS, Sadat, N, Safdarian, M, Safiri, SSS, Sagar, R, Sahathevan, R, Sahebkar, A, Sahraian, MA, Salama, J, Salamati, P, Salomon, JA, Salvi, SS, Samy, AM, Sanabria, JR, Sanchez-Nino, MD, Santos, IS, Milicevic, MMS, Sarmiento-Suarez, R, Sartorius, B, Satpathy, M, Sawhney, M, Saxena, S, Saylan, MI, Schmidt, MI, Schneider, IJC, Schutte, AE, Schwebel, DC, Schwendicke, F, Seedat, S, Seid, AM, Sepanlou, SG, Servan-Mori, EE, Shackelford, KA, Shaheen, A, Shahraz, S, Shaikh, MA, Shamsipour, M, Shamsizadeh, M, Islam, SMS, Sharma, J, Sharma, R, She, J, Shen, J, Shetty, BP, Shi, P, Shibuya, K, Shigematsu, M, Shiri, R, Shiue, I, Shrime, MG, Sigfusdottir, ID, Silberberg, DH, Silpakit, N, Silva, DAS, Silva, JP, Silveira, DGA, Sindi, S, Singh, A, Singh, JA, Singh, PK, Singh, V, Sinha, DN, Skiadaresi, E, Sligar, A, Smith, DL, Sobaih, BHA, Sobngwi, E, Soneji, S, Soriano, JB, Sreeramareddy, CT, Srinivasan, V, Stathopoulou, V, Steel, N, Stein, DJ, Steiner, C, Stockl, H, Stokes, MA, Strong, M, Sufiyan, MB, Suliankatchi, RA, Sunguya, BF, Sur, PJ, Swaminathan, S, Sykes, BL, Szoeke, CEI, Tabares-Seisdedos, R, Tadakamadla, SK, Tadese, F, Tandon, N, Tanne, D, Tarajia, M, Tavakkoli, M, Taveira, N, Tehrani-Banihashemi, A, Tekelab, T, Tekle, DY, Shifa, GT, Temsah, M-H, Terkawi, AS, Tesema, CL, Tesssema, B, Theis, A, Thomas, N, Thompson, AH, Thomson, AJ, Thrift, AG, Tiruye, TY, Tobe-Gai, R, Tonelli, M, Topor-Madry, R, Topouzis, F, Tortajada, M, Tran, BX, Trujillo, TTU, Tsilimparis, N, Tuem, KB, Tuzcu, EM, Tyrovolas, S, Ukwaja, KN, Undurraga, EA, Uthman, OA, Uzochukwu, BSC, van Boven, JFM, Varakin, YY, Varughese, S, Vasankari, T, Vasconcelos, AMN, Venketasubramanian, N, Vidavalur, R, Violante, FS, Vishnu, A, Vladimirov, SK, Vlassov, VV, Vollset, SE, Vos, T, Waid, JL, Wakayo, T, Wang, Y-P, Weichenthal, S, Weiderpass, E, Weintraub, RG, Werdecker, A, Wesana, J, Wijeratne, T, Wilkinson, JD, Wiysonge, CS, Woldeyes, BG, Wolfe, CDA, Workicho, A, Workie, SB, Xavier, D, Xu, G, Yaghoubi, M, Yakob, B, Yalew, AZ, Yan, LL, Yano, Y, Yaseri, M, Ye, P, Yimam, HH, Yip, P, Yirsaw, BD, Yonemoto, N, Yoon, S-J, Yotebieng, M, Younis, MZ, Zaidi, Z, Zaki, MES, Zeeb, H, Zenebe, ZM, Zerfu, TA, Zhang, AL, Zhang, X, Zodpey, S, Zuhlke, LJ, Lopez, AD, Murray, CJL, Wang, H, Abajobir, AA, Abate, KH, Abbafati, C, Abbas, KM, Abd-Allah, F, Abera, SF, Abraha, HN, Abu-Raddad, LJ, Abu-Rmeileh, NME, Adedeji, IA, Adedoyin, RA, Adetifa, IMO, Adetokunboh, O, Afshin, A, Aggarwal, R, Agrawal, A, Agrawal, S, Kiadaliri, AA, Ahmed, MB, Aichour, AN, Aichour, I, Aichour, MTE, Aiyar, S, Akanda, S, Akinyemiju, TF, Akseer, N, Al-Eyadhy, A, Al Lami, FH, Alabed, S, Alahdab, F, Al-Aly, Z, Alam, K, Alam, N, Alasfoor, D, Aldridge, RW, Alene, KA, Alhabib, S, Ali, R, Alizadeh-Navaei, R, Aljunid, SM, Alkaabi, JM, Alkerwi, A, Alla, F, Allam, SD, Allebeck, P, Al-Raddadi, R, Alsharif, U, Altirkawi, KA, Martin, EA, Alvis-Guzman, N, Amare, AT, Ameh, EA, Amini, E, Ammar, W, Amoako, YA, Anber, N, Andrei, CL, Androudi, S, Ansari, H, Ansha, MG, Antonio, CAT, Anwari, P, Arnlov, J, Arora, M, Al, A, Aryal, KK, Asayesh, H, Asgedom, SW, Asghar, RJ, Assadi, R, Atey, TM, Atre, SR, Avila-Burgos, L, Avokpaho, EFGA, Awasthi, A, Quintanilla, BPA, Babalola, TK, Bacha, U, Badawi, A, Balakrishnan, K, Balalla, S, Barac, A, Barber, RM, Barboza, MA, Barker-Collo, SL, Barnighausen, T, Barquera, S, Barregard, L, Barrero, LH, Baune, BT, Bazargan-Hejazi, S, Bedi, N, Beghi, E, Bejot, Y, Bekele, BB, Bell, ML, Bello, AK, Bennett, DA, Bennett, JR, Bensenor, IM, Benson, J, Berhane, A, Berhe, DF, Bernabe, E, Beuran, M, Beyene, AS, Bhala, N, Bhansali, A, Bhaumik, S, Bhutta, ZA, Bikbov, B, Birungi, C, Biryukov, S, Bisanzio, D, Bizuayehu, HM, Bjerregaard, P, Blosser, CD, Boneya, DJ, Boufous, S, Bourne, RRA, Brazinova, A, Breitborde, NJK, Brenner, H, Brugha, TS, Bukhman, G, Negesa, L, Bulto, B, Bumgarner, BR, Burch, M, Butt, ZA, Cahill, LE, Cahuana-Hurtado, L, Campos-Nonato, IR, Car, J, Car, M, Crdenas, R, Carpenter, DO, Carrero, JJ, Carter, A, Castaneda-Orjuela, CA, Rivas, JC, Castro, FF, Castro, RE, Catala-Lopez, F, Chen, H, Chiang, PP-C, Chibalabala, M, Chisumpa, VH, Chitheer, AA, Choi, J-YJ, Christensen, H, Christopher, DJ, Ciobanu, LG, Cirillo, M, Cohen, AJ, Colquhoun, SM, Coresh, J, Criqui, MH, Cromwell, EA, Crump, JA, Dandona, L, Dandona, R, Dargan, PI, das Neves, J, Davey, G, Davitoiu, DV, Davletov, K, de Courten, B, De Leo, D, Degenhardt, L, Deiparine, S, Dellavalle, RP, Deribe, K, Deribew, A, Des Jarlais, DC, Dey, S, Dharmaratne, SD, Dherani, MK, Diaz-Torne, C, Ding, EL, Dixit, P, Djalalinia, S, Huyen, PD, Doku, DT, Donnelly, CA, Priscila, K, dos Santos, B, Douwes-Schultz, D, Driscoll, TR, Duan, L, Dubey, M, Duncan, BB, Dwivedi, LK, Ebrahimi, H, El Bcheraoui, C, Ellingsen, CL, Enayati, A, Endries, AY, Ermakov, SP, Eshetie, S, Eshrati, B, Eskandarieh, S, Esteghamati, A, Estep, K, Fanuel, BBF, Faro, A, Farvid, MS, Farzadfar, F, Feigin, VL, Fereshtehnejad, S-M, Fernandes, JG, Fernandes, JC, Feyissa, TR, Filip, I, Fischer, F, Foigt, N, Foreman, KJ, Frank, T, Franklin, RC, Fraser, M, Friedman, J, Frostad, JJ, Fullman, N, Furst, T, Furtado, JM, Futran, ND, Gakidou, E, Gambashidze, K, Gamkrelidze, A, Gankpe, FG, Garcia-Basteiro, AL, Gebregergs, GB, Gebrehiwot, TT, Gebrekidan, KG, Gebremichael, MW, Gelaye, AA, Geleijnse, JM, Gemechu, BL, Gemechu, KS, Genova-Maleras, R, Gesesew, HA, Gething, PW, Gibney, KB, Gill, PS, Gillum, RF, Giref, AZ, Girma, BW, Giussani, G, Goenka, S, Gomez, B, Gona, PN, Gopalani, SV, Goulart, AC, Graetz, N, Gugnani, HC, Gupta, PC, Gupta, R, Gupta, T, Gupta, V, Haagsma, JA, Hafezi-Nejad, N, Bidgoli, HH, Hakuzimana, A, Halasa, YA, Hamadeh, RR, Hambisa, MT, Hamidi, S, Hammami, M, Hancock, J, Handal, AJ, Hankey, GJ, Hao, Y, Harb, HL, Hareri, HA, Harikrishnan, S, Haro, JM, Hassanvand, MS, Havmoeller, R, Hay, RJ, Hay, SI, He, F, Heredia-Pi, IB, Herteliu, C, Hilawe, EH, Hoek, HW, Horita, N, Hosgood, HD, Hostiuc, S, Hotez, PJ, Hoy, DG, Hsairi, M, Htet, AS, Hu, G, Huang, H, Huang, JJ, Iburg, KM, Igumbor, EU, Ileanu, BV, Inoue, M, Irenso, AA, Irvine, CMS, Islam, N, Jacobsen, KH, Jaenisch, T, Jahanmehr, N, Jakovljevic, MB, Javanbakht, M, Jayatilleke, AU, Jeemon, P, Jensen, PN, Jha, V, Jin, Y, John, D, John, O, Johnson, SC, Jonas, JB, Jurisson, M, Kabir, Z, Kadel, R, Kahsay, A, Kalkonde, Y, Kamal, R, Kan, H, Karch, A, Karema, CK, Karimi, SM, Karthikeyan, G, Kasaeian, A, Kassaw, NA, Kassebaum, NJ, Kastor, A, Katikireddi, SV, Kaul, A, Kawakami, N, Kazanjan, K, Keiyoro, PN, Kelbore, SG, Kemp, AH, Kengne, AP, Keren, A, Kereselidze, M, Kesavachandran, CN, Ketema, EB, Khader, YS, Khalil, IA, Khan, EA, Khan, G, Khang, Y-H, Khera, S, Khoja, ATA, Khosravi, MH, Kibret, GD, Kieling, C, Kim, C-I, Kim, D, Kim, P, Kim, S, Kim, YJ, Kimokoti, RW, Kinfu, Y, Kishawi, S, Kissimova-Skarbek, KA, Kissoon, N, Kivimaki, M, Knudsen, AK, Kokubo, Y, Kopec, JA, Kosen, S, Koul, PA, Koyanagi, A, Kravchenko, M, Krohn, KJ, Defo, BK, Bicer, BK, Kuipers, EJ, Kulikoff, XR, Kulkarni, VS, Kumar, GA, Kumar, P, Kumsa, FA, Kutz, M, Lachat, C, Lagat, AK, Lager, ACJ, Lal, DK, Lalloo, R, Lambert, N, Lan, Q, Lansingh, VC, Larson, HJ, Larsson, A, Laryea, DO, Lavados, PM, Laxmaiah, A, Lee, PH, Leigh, J, Leung, J, Leung, R, Levi, M, Li, Y, Liao, Y, Liben, ML, Lim, SS, Linn, S, Lipshultz, SE, Liu, S, Lodha, R, Logroscino, G, Lorch, SA, Lorkowski, S, Lotufo, PA, Lozano, R, Lunevicius, R, Lyons, RA, Ma, S, Macarayan, ERK, Machado, IE, Mackay, MT, Abd el Razek, MM, Magis-Rodriguez, C, Mahdavi, M, Majdan, M, Majdzadeh, R, Majeed, A, Malekzadeh, R, Malhotra, R, Malta, DC, Mantovani, LG, Manyazewal, T, Mapoma, CC, Marczak, LB, Marks, GB, Martinez-Raga, J, Martins-Melo, FR, Massano, J, Maulik, PK, Mayosi, BM, Mazidi, M, McAlinden, C, McGarvey, ST, McGrath, JJ, Mckee, M, Mehata, S, Mehndiratta, MM, Mehta, KM, Meier, T, Mekonnen, TC, Meles, KG, Memiah, P, Memish, ZA, Mendoza, W, Mengesha, MM, Mengistie, MA, Tadese, D, Menon, MGR, Menota, BG, Mensah, GA, Meretoja, A, Meretoja, TJ, Mezgebe, HB, Micha, R, Mikesell, J, Miller, TR, Mills, EJ, Minnig, S, Mirarefin, M, Mirrakhimov, EM, Misganaw, A, Mishra, SR, Mohammad, KA, Mohammadi, A, Mohammed, KESM, Mohan, MBV, Mohanty, SK, Mokdad, AH, Assaye, AM, Mollenkopf, SK, Molokhia, M, Monasta, L, Hernandez, JCM, Montico, M, Mooney, MD, Moore, AR, Moradi-Lakeh, M, Moraga, P, Morawska, L, Velasquez, IM, Mori, R, Morrison, SD, Mruts, KB, Mueller, UO, Mullany, E, Muller, K, Venkata, G, Murthy, S, Musa, KI, Nachega, JB, Nagata, C, Nagel, G, Naghavi, M, Naidoo, KS, Nanda, L, Nangia, V, Nascimento, BR, Natarajan, G, Negoi, I, Cuong, TN, Ningrum, DNA, Nisar, MI, Nomura, M, Vuong, MN, Norheim, OF, Norrving, B, Noubiap, JJN, Nyakarahuka, L, Obermeyer, CM, O'Donnell, MJ, Ogbo, FA, Oh, I-H, Okoro, A, Oladimeji, O, Olagunju, AT, Olusanya, BO, Olusanya, JO, Oren, E, Ortiz, A, Osgood-Zimmerman, A, Ota, E, Owolabi, MO, Oyekale, AS, Pa, M, Pacella, RE, Pakhale, S, Pana, A, Panda, BK, Panda-Jonas, S, Park, E-K, Parsaeian, M, Patel, T, Patten, SB, Patton, GC, Paudel, D, Pereira, DM, Perez-Padilla, R, Perez-Ruiz, F, Perico, N, Pervaiz, A, Pesudovs, K, Peterson, CB, Petri, WA, Petzold, M, Phillips, MR, Piel, FB, Pigott, DM, Pishgar, F, Plass, D, Polinder, S, Popova, S, Postma, MJ, Poulton, RG, Pourmalek, F, Prasad, N, Purwar, M, Qorbani, M, Rabiee, RHS, Radfar, A, Rafay, A, Rahimi-Movaghar, A, Rahimi-Movaghar, V, Rahman, M, Rahman, MHU, Rahman, SU, Rai, RK, Rajsic, S, Ram, U, Rana, SM, Ranabhat, CL, Rao, PV, Rawaf, S, Ray, SE, Rego, MAS, Rehm, J, Reiner, RC, Remuzzi, G, Renzaho, AMNN, Resnikoff, S, Rezaei, S, Rezai, MS, Ribeiro, AL, Rokni, MB, Ronfani, L, Roshandel, G, Roth, GA, Rothenbacher, D, Roy, A, Rubagotti, E, Ruhago, GM, Saadat, S, Sabde, YD, Sachdev, PS, Sadat, N, Safdarian, M, Safiri, SSS, Sagar, R, Sahathevan, R, Sahebkar, A, Sahraian, MA, Salama, J, Salamati, P, Salomon, JA, Salvi, SS, Samy, AM, Sanabria, JR, Sanchez-Nino, MD, Santos, IS, Milicevic, MMS, Sarmiento-Suarez, R, Sartorius, B, Satpathy, M, Sawhney, M, Saxena, S, Saylan, MI, Schmidt, MI, Schneider, IJC, Schutte, AE, Schwebel, DC, Schwendicke, F, Seedat, S, Seid, AM, Sepanlou, SG, Servan-Mori, EE, Shackelford, KA, Shaheen, A, Shahraz, S, Shaikh, MA, Shamsipour, M, Shamsizadeh, M, Islam, SMS, Sharma, J, Sharma, R, She, J, Shen, J, Shetty, BP, Shi, P, Shibuya, K, Shigematsu, M, Shiri, R, Shiue, I, Shrime, MG, Sigfusdottir, ID, Silberberg, DH, Silpakit, N, Silva, DAS, Silva, JP, Silveira, DGA, Sindi, S, Singh, A, Singh, JA, Singh, PK, Singh, V, Sinha, DN, Skiadaresi, E, Sligar, A, Smith, DL, Sobaih, BHA, Sobngwi, E, Soneji, S, Soriano, JB, Sreeramareddy, CT, Srinivasan, V, Stathopoulou, V, Steel, N, Stein, DJ, Steiner, C, Stockl, H, Stokes, MA, Strong, M, Sufiyan, MB, Suliankatchi, RA, Sunguya, BF, Sur, PJ, Swaminathan, S, Sykes, BL, Szoeke, CEI, Tabares-Seisdedos, R, Tadakamadla, SK, Tadese, F, Tandon, N, Tanne, D, Tarajia, M, Tavakkoli, M, Taveira, N, Tehrani-Banihashemi, A, Tekelab, T, Tekle, DY, Shifa, GT, Temsah, M-H, Terkawi, AS, Tesema, CL, Tesssema, B, Theis, A, Thomas, N, Thompson, AH, Thomson, AJ, Thrift, AG, Tiruye, TY, Tobe-Gai, R, Tonelli, M, Topor-Madry, R, Topouzis, F, Tortajada, M, Tran, BX, Trujillo, TTU, Tsilimparis, N, Tuem, KB, Tuzcu, EM, Tyrovolas, S, Ukwaja, KN, Undurraga, EA, Uthman, OA, Uzochukwu, BSC, van Boven, JFM, Varakin, YY, Varughese, S, Vasankari, T, Vasconcelos, AMN, Venketasubramanian, N, Vidavalur, R, Violante, FS, Vishnu, A, Vladimirov, SK, Vlassov, VV, Vollset, SE, Vos, T, Waid, JL, Wakayo, T, Wang, Y-P, Weichenthal, S, Weiderpass, E, Weintraub, RG, Werdecker, A, Wesana, J, Wijeratne, T, Wilkinson, JD, Wiysonge, CS, Woldeyes, BG, Wolfe, CDA, Workicho, A, Workie, SB, Xavier, D, Xu, G, Yaghoubi, M, Yakob, B, Yalew, AZ, Yan, LL, Yano, Y, Yaseri, M, Ye, P, Yimam, HH, Yip, P, Yirsaw, BD, Yonemoto, N, Yoon, S-J, Yotebieng, M, Younis, MZ, Zaidi, Z, Zaki, MES, Zeeb, H, Zenebe, ZM, Zerfu, TA, Zhang, AL, Zhang, X, Zodpey, S, Zuhlke, LJ, Lopez, AD, and Murray, CJL
Published: 2017

20. Global, regional, and national burden of neurological disorders during 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015

Author: Feigin, V, Abajobir, A, Abate, K, Abd-Allah, F, Abdulle, A, Abera, S, Abyu, G, Ahmed, M, Aichour, A, Aichour, I, Aichour, M, Akinyemi, R, Alabed, S, Al-Raddadi, R, Alvis-Guzman, N, Amare, A, Ansari, H, Anwari, P, Ärnlöv, J, Asayesh, H, Asgedom, S, Atey, T, Avila-Burgos, L, Frinel, E, Avokpaho, G, Barac, A, Barboza, M, Barker-Collo, S, Bärnighausen, T, Bedi, N, Beghi, E, Bennett, D, Bensenor, I, Berhane, A, Betsu, B, Bhaumik, S, Birlik, S, Biryukov, S, Boneya, D, Bulto, L, Carabin, H, Casey, D, Castañeda-Orjuela, C, Catalá-López, F, Chen, H, Chitheer, A, Chowdhury, R, Christensen, H, Dandona, L, Dandona, R, Veber, G, Dharmaratne, S, Do, H, Dokova, K, Dorsey, E, Ellenbogen, R, Eskandarieh, S, Farvid, M, Fereshtehnejad, S, Fischer, F, Foreman, K, Geleijnse, J, Gillum, R, Giussani, G, Gona, P, Goulart, A, Gugnani, H, Gupta, R, Hamadeh, R, Hambisa, M, Hankey, G, Hareri, H, Havmoeller, R, Hay, S, Heydarpour, P, Hotez, P, Jakovljevic, M, Javanbakht, M, Jeemon, P, Jonas, J, Kalkonde, Y, Kandel, A, Karch, A, Kasaeian, A, Kastor, A, Keiyoro, P, Khader, Y, Khalil, I, Khan, E, Khang, Y, Tawfih, A, Khoja, A, Khubchandani, J, Kim, D, Kim, Y, Kivimaki, M, Kokubo, Y, Kosen, S, Kravchenko, M, Krishnamurthi, R, Defo, B, Kumar, G, Kumar, R, Kyu, H, Larsson, A, Lavados, P, Li, Y, Liang, X, Liben, M, Lo, W, Logroscino, G, Lotufo, P, Loy, C, Mackay, M, El Razek, H, El Razek, M, Majeed, A, Malekzadeh, R, Manhertz, T, Mantovani, L, Massano, J, Mazidi, M, Mcalinden, C, Mehata, S, Mehndiratta, M, Memish, Z, Mendoza, W, Mengistie, M, Mensah, G, Meretoja, A, Mezgebe, H, Miller, T, Mishra, S, Ibrahim, N, Mohammadi, A, Mohammed, K, Mohammed, S, Mokdad, A, Moradi-Lakeh, M, Velasquez, I, Musa, K, Naghavi, M, Ngunjiri, J, Nguyen, C, Nguyen, G, Le Nguyen, Q, Nguyen, T, Nichols, E, Ningrum, D, Nong, V, Norrving, B, Noubiap, J, Ogbo, F, Owolabi, M, Pandian, J, Petzold, M, Phillips, M, Piradov, M, Poulton, R, Pourmalek, F, Qorbani, M, Rafay, A, Rahman, M, Rai, R, Rajsic, S, Ranta, A, Rawaf, S, Renzaho, A, Rezai, M, Roshandel, G, Rubagotti, E, Sachdev, P, Safiri, S, Sahathevan, R, Sahraian, M, Samy, A, Santalucia, P, Santos, I, Sartorius, B, Satpathy, M, Sawhney, M, Saylan, M, Sepanlou, S, Shaikh, M, Shakir, R, Shamsizadeh, M, Sheth, K, Shigematsu, M, Shoman, H, Silva, D, Smith, M, Sobngwi, E, Sposato, L, Stein, D, Steiner, T, Stovner, L, Abdulkader, R, EI Szoeke, C, Tabarés-Seisdedos, R, Tanne, D, Theadom, A, Thrift, A, Tirschwell, D, Topor-Madry, R, Tran, B, Truelsen, T, Tuem, K, Ukwaja, K, Uthman, O, Varakin, Y, Vasankari, T, Venketasubramanian, N, Vlassov, V, Wadilo, F, Wakayo, T, Wallin, M, Weiderpass, E, Westerman, R, Wijeratne, T, Wiysonge, C, Woldu, M, Wolfe, C, Xavier, D, Xu, G, Yano, Y, Yimam, H, Yonemoto, N, Yu, C, Zaidi, Z, El Sayed Zaki, M, Zunt, J, Murray, C, Vos, T, Feigin, VL, Abajobir, AA, Abate, KH, Abdulle, AM, Abera, SF, Abyu, GY, Ahmed, MB, Aichour, AN, Aichour, MTE, Akinyemi, RO, Amare, AT, Asgedom, SW, Atey, TM, Avokpaho, GA, Barker-Collo, SL, Bennett, DA, Bensenor, IM, Betsu, BD, Birlik, SM, Boneya, DJ, Bulto, LNB, Castañeda-Orjuela, CA, Chitheer, AA, Veber, GA, Dharmaratne, SD, Do, HP, Dorsey, ER, Ellenbogen, RG, Farvid, MS, Fereshtehnejad, SM, Foreman, KJ, Geleijnse, JM, Gillum, RF, Gona, PN, Goulart, AC, Gugnani, HC, Hamadeh, RR, Hankey, GJ, Hareri, HA, Hay, SI, Hotez, PJ, Jakovljevic, MMB, Jonas, JB, Keiyoro, PN, Khader, YS, Khalil, IA, Khan, EA, Khang, YH, Kim, YJ, Krishnamurthi, RV, Defo, BK, Kumar, GA, Kyu, HH, Lavados, PM, Liben, ML, Lo, WD, Lotufo, PA, Loy, CT, Mackay, MT, El Razek, HMA, El Razek, MMA, Mantovani, LG, McAlinden, C, Mehndiratta, MM, Memish, ZA, Mengistie, MA, Mensah, GA, Mezgebe, HB, Miller, TR, Mishra, SR, Ibrahim, NM, Mohammed, KE, Mokdad, AH, Velasquez, IM, Musa, KI, Ngunjiri, JW, Nguyen, CT, Nguyen, TH, Ningrum, DNA, Nong, VM, Noubiap, JJN, Ogbo, FA, Owolabi, MO, Pandian, JD, Phillips, MR, Piradov, MA, Poulton, RG, Rahman, MH, Rai, RK, Renzaho, AMN, Rezai, MS, Sahraian, MA, Samy, AM, Santos, IS, Saylan, MI, Sepanlou, SG, Shaikh, MA, Sheth, KN, Silva, DAS, Sposato, LA, Stein, DJ, Steiner, TJ, Stovner, LJ, Abdulkader, RS, Theadom, AM, Thrift, AG, Tirschwell, DL, Tran, BX, Tuem, KB, Ukwaja, KN, Uthman, OA, Varakin, YY, Vlassov, VV, Wallin, MT, Wiysonge, CS, Woldu, MA, Wolfe, CDA, Yimam, HH, Zunt, JR, Murray, CJL, Feigin, V, Abajobir, A, Abate, K, Abd-Allah, F, Abdulle, A, Abera, S, Abyu, G, Ahmed, M, Aichour, A, Aichour, I, Aichour, M, Akinyemi, R, Alabed, S, Al-Raddadi, R, Alvis-Guzman, N, Amare, A, Ansari, H, Anwari, P, Ärnlöv, J, Asayesh, H, Asgedom, S, Atey, T, Avila-Burgos, L, Frinel, E, Avokpaho, G, Barac, A, Barboza, M, Barker-Collo, S, Bärnighausen, T, Bedi, N, Beghi, E, Bennett, D, Bensenor, I, Berhane, A, Betsu, B, Bhaumik, S, Birlik, S, Biryukov, S, Boneya, D, Bulto, L, Carabin, H, Casey, D, Castañeda-Orjuela, C, Catalá-López, F, Chen, H, Chitheer, A, Chowdhury, R, Christensen, H, Dandona, L, Dandona, R, Veber, G, Dharmaratne, S, Do, H, Dokova, K, Dorsey, E, Ellenbogen, R, Eskandarieh, S, Farvid, M, Fereshtehnejad, S, Fischer, F, Foreman, K, Geleijnse, J, Gillum, R, Giussani, G, Gona, P, Goulart, A, Gugnani, H, Gupta, R, Hamadeh, R, Hambisa, M, Hankey, G, Hareri, H, Havmoeller, R, Hay, S, Heydarpour, P, Hotez, P, Jakovljevic, M, Javanbakht, M, Jeemon, P, Jonas, J, Kalkonde, Y, Kandel, A, Karch, A, Kasaeian, A, Kastor, A, Keiyoro, P, Khader, Y, Khalil, I, Khan, E, Khang, Y, Tawfih, A, Khoja, A, Khubchandani, J, Kim, D, Kim, Y, Kivimaki, M, Kokubo, Y, Kosen, S, Kravchenko, M, Krishnamurthi, R, Defo, B, Kumar, G, Kumar, R, Kyu, H, Larsson, A, Lavados, P, Li, Y, Liang, X, Liben, M, Lo, W, Logroscino, G, Lotufo, P, Loy, C, Mackay, M, El Razek, H, El Razek, M, Majeed, A, Malekzadeh, R, Manhertz, T, Mantovani, L, Massano, J, Mazidi, M, Mcalinden, C, Mehata, S, Mehndiratta, M, Memish, Z, Mendoza, W, Mengistie, M, Mensah, G, Meretoja, A, Mezgebe, H, Miller, T, Mishra, S, Ibrahim, N, Mohammadi, A, Mohammed, K, Mohammed, S, Mokdad, A, Moradi-Lakeh, M, Velasquez, I, Musa, K, Naghavi, M, Ngunjiri, J, Nguyen, C, Nguyen, G, Le Nguyen, Q, Nguyen, T, Nichols, E, Ningrum, D, Nong, V, Norrving, B, Noubiap, J, Ogbo, F, Owolabi, M, Pandian, J, Petzold, M, Phillips, M, Piradov, M, Poulton, R, Pourmalek, F, Qorbani, M, Rafay, A, Rahman, M, Rai, R, Rajsic, S, Ranta, A, Rawaf, S, Renzaho, A, Rezai, M, Roshandel, G, Rubagotti, E, Sachdev, P, Safiri, S, Sahathevan, R, Sahraian, M, Samy, A, Santalucia, P, Santos, I, Sartorius, B, Satpathy, M, Sawhney, M, Saylan, M, Sepanlou, S, Shaikh, M, Shakir, R, Shamsizadeh, M, Sheth, K, Shigematsu, M, Shoman, H, Silva, D, Smith, M, Sobngwi, E, Sposato, L, Stein, D, Steiner, T, Stovner, L, Abdulkader, R, EI Szoeke, C, Tabarés-Seisdedos, R, Tanne, D, Theadom, A, Thrift, A, Tirschwell, D, Topor-Madry, R, Tran, B, Truelsen, T, Tuem, K, Ukwaja, K, Uthman, O, Varakin, Y, Vasankari, T, Venketasubramanian, N, Vlassov, V, Wadilo, F, Wakayo, T, Wallin, M, Weiderpass, E, Westerman, R, Wijeratne, T, Wiysonge, C, Woldu, M, Wolfe, C, Xavier, D, Xu, G, Yano, Y, Yimam, H, Yonemoto, N, Yu, C, Zaidi, Z, El Sayed Zaki, M, Zunt, J, Murray, C, Vos, T, Feigin, VL, Abajobir, AA, Abate, KH, Abdulle, AM, Abera, SF, Abyu, GY, Ahmed, MB, Aichour, AN, Aichour, MTE, Akinyemi, RO, Amare, AT, Asgedom, SW, Atey, TM, Avokpaho, GA, Barker-Collo, SL, Bennett, DA, Bensenor, IM, Betsu, BD, Birlik, SM, Boneya, DJ, Bulto, LNB, Castañeda-Orjuela, CA, Chitheer, AA, Veber, GA, Dharmaratne, SD, Do, HP, Dorsey, ER, Ellenbogen, RG, Farvid, MS, Fereshtehnejad, SM, Foreman, KJ, Geleijnse, JM, Gillum, RF, Gona, PN, Goulart, AC, Gugnani, HC, Hamadeh, RR, Hankey, GJ, Hareri, HA, Hay, SI, Hotez, PJ, Jakovljevic, MMB, Jonas, JB, Keiyoro, PN, Khader, YS, Khalil, IA, Khan, EA, Khang, YH, Kim, YJ, Krishnamurthi, RV, Defo, BK, Kumar, GA, Kyu, HH, Lavados, PM, Liben, ML, Lo, WD, Lotufo, PA, Loy, CT, Mackay, MT, El Razek, HMA, El Razek, MMA, Mantovani, LG, McAlinden, C, Mehndiratta, MM, Memish, ZA, Mengistie, MA, Mensah, GA, Mezgebe, HB, Miller, TR, Mishra, SR, Ibrahim, NM, Mohammed, KE, Mokdad, AH, Velasquez, IM, Musa, KI, Ngunjiri, JW, Nguyen, CT, Nguyen, TH, Ningrum, DNA, Nong, VM, Noubiap, JJN, Ogbo, FA, Owolabi, MO, Pandian, JD, Phillips, MR, Piradov, MA, Poulton, RG, Rahman, MH, Rai, RK, Renzaho, AMN, Rezai, MS, Sahraian, MA, Samy, AM, Santos, IS, Saylan, MI, Sepanlou, SG, Shaikh, MA, Sheth, KN, Silva, DAS, Sposato, LA, Stein, DJ, Steiner, TJ, Stovner, LJ, Abdulkader, RS, Theadom, AM, Thrift, AG, Tirschwell, DL, Tran, BX, Tuem, KB, Ukwaja, KN, Uthman, OA, Varakin, YY, Vlassov, VV, Wallin, MT, Wiysonge, CS, Woldu, MA, Wolfe, CDA, Yimam, HH, Zunt, JR, and Murray, CJL
Abstract: Background Comparable data on the global and country-specific burden of neurological disorders and their trends are crucial for health-care planning and resource allocation. The Global Burden of Diseases, Injuries, and Risk Factors (GBD) Study provides such information but does not routinely aggregate results that are of interest to clinicians specialising in neurological conditions. In this systematic analysis, we quantified the global disease burden due to neurological disorders in 2015 and its relationship with country development level. Methods We estimated global and country-specific prevalence, mortality, disability-adjusted life-years (DALYs), years of life lost (YLLs), and years lived with disability (YLDs) for various neurological disorders that in the GBD classification have been previously spread across multiple disease groupings. The more inclusive grouping of neurological disorders included stroke, meningitis, encephalitis, tetanus, Alzheimer's disease and other dementias, Parkinson's disease, epilepsy, multiple sclerosis, motor neuron disease, migraine, tension-type headache, medication overuse headache, brain and nervous system cancers, and a residual category of other neurological disorders. We also analysed results based on the Socio-demographic Index (SDI), a compound measure of income per capita, education, and fertility, to identify patterns associated with development and how countries fare against expected outcomes relative to their level of development. Findings Neurological disorders ranked as the leading cause group of DALYs in 2015 (250·7 [95% uncertainty interval (UI) 229·1 to 274·7] million, comprising 10·2% of global DALYs) and the second-leading cause group of deaths (9·4 [9·1 to 9·7] million], comprising 16·8% of global deaths). The most prevalent neurological disorders were tension-type headache (1505·9 [UI 1337·3 to 1681·6 million cases]), migraine (958·8 [872·1 to 1055·6] million), medication overuse headache (58·5 [50·8 to 67·4 mil
Published: 2017

21. Measuring progress from 1990 to 2017 and projecting attainment to 2030 of the health-related Sustainable Development Goals for 195 countries and territories: a systematic analysis for the Global Burden of Disease Study 2017

Author: Lozano, Rafael, Fullman, Nancy, Abate, Degu, Abay, Solomon M, Abbafati, Cristiana, Abbasi, Nooshin, Abbastabar, Hedayat, Abd-Allah, Foad, Abdela, Jemal, Abdelalim, Ahmed, Abdel-Rahman, Omar, Abdi, Alireza, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abebe, Nebiyu Dereje, Abebe, Zegeye, Abejie, Ayenew Negesse, Abera, Semaw F, Abil, Olifan Zewdie, Aboyans, Victor, Abraha, Haftom Niguse, Abrham, Aklilu Roba, Abu-Raddad, Laith Jamal, Abu-Rmeileh, Niveen Me, Abyu, Gebre Y, Accrombessi, Manfred Mario Kokou, Acharya, Dilaram, Acharya, Pawan, Adamu, Abdu A, Adebayo, Oladimeji M, Adedeji, Isaac Akinkunmi, Adedoyin, Rufus Adesoji, Adekanmbi, Victor, Adetokunboh, Olatunji O, Adhena, Beyene Meressa, Adhikari, Tara Ballav, Adib, Mina G, Adou, Arsène Kouablan, Adsuar, Jose C, Afarideh, Mohsen, Afshari, Mahdi, Afshin, Ashkan, Agarwal, Gina, Aghayan, Sargis Aghasi, Agius, Dominic, Agrawal, Anurag, Agrawal, Sutapa, Ahmadi, Alireza, Ahmadi, Mehdi, Ahmadieh, Hamid, Ahmed, Muktar Beshir, Ahmed, Sayem, Akalu, Temesgen Yihunie, Akanda, Ali S, Akbari, Mohammad Esmaeil, Akibu, Mohammed, Akinyemi, Rufus Olusola, Akinyemiju, Tomi, Akseer, Nadia, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alam, Tahiya, Albujeer, Ammar, Alebel, Animut, Alene, Kefyalew Addis, Al-Eyadhy, Ayman, Alhabib, Samia, Ali, Raghib, Alijanzadeh, Mehran, Alizadeh-Navaei, Reza, Aljunid, Syed Mohamed, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Allen, Christine A, Almasi, Ali, Al-Maskari, Fatma, Al-Mekhlafi, Hesham M, Alonso, Jordi, Al-Raddadi, Rajaa M, Alsharif, Ubai, Altirkawi, Khalid, Alvis-Guzman, Nelson, Amare, Azmeraw T, Amenu, Kebede, Amini, Erfan, Ammar, Walid, Anber, Nahla Hamed, Anderson, Jason A, Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Anjomshoa, Mina, Ansari, Hossein, Ansariadi, Ansariadi, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, Anwari, Palwasha, Appiah, Lambert Tetteh, Aremu, Olatunde, Areri, Habtamu Abera, Ärnlöv, Johan, Arora, Monika, Aryal, Krishna K, Asayesh, Hamid, Asfaw, Ephrem Tsegay, Asgedom, Solomon Weldegebreal, Asghar, Rana Jawad, Assadi, Reza, Ataro, Zerihun, Atique, Suleman, Atre, Sachin R, Atteraya, Madhu Sudhan, Ausloos, Marcel, Avila-Burgos, Leticia, Avokpaho, Euripide F G A, Awasthi, Ashish, Ayala Quintanilla, Beatriz Paulina, Ayele, Henok Tadesse, Ayele, Yohanes, Ayer, Rakesh, Azarpazhooh, Mahmoud Reza, Azzopardi, Peter S, Azzopardi-Muscat, Natasha, Babalola, Tesleem Kayode, Babazadeh, Arefeh, Badali, Hamid, Badawi, Alaa, Balakrishnan, Kalpana, Bali, Ayele Geleto, Banach, Maciej, Banerjee, Amitava, Banoub, Joseph Adel Mattar, Banstola, Amrit, Barac, Aleksandra, Barboza, Miguel A, Barker-Collo, Suzanne Lyn, Bärnighausen, Till Winfried, Barrero, Lope H, Barthelemy, Celine M, Bassat, Quique, Basu, Arindam, Basu, Sanjay, Battista, Robert J, Baune, Bernhard T, Baynes, Habtamu Wondifraw, Bazargan-Hejazi, Shahrzad, Bedi, Neeraj, Beghi, Ettore, Behzadifar, Masoud, Behzadifar, Meysam, Béjot, Yannick, Bekele, 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Subjects: GENDER-DIFFERENCES, SUICIDE, Medicine (all), Burden of Disease Study 2017, SDG, CONSUMPTION, 11 Medical And Health Sciences, GBD, Sustainable Development Goals, PREVENTION, ALCOHOL-USE, CARDIOVASCULAR-DISEASE, SMOKING PREVALENCE, General & Internal Medicine, factors risk, Medicine and Health Sciences, Human medicine, CESSATION, PERSPECTIVE, TRANSITION
Abstract: Background Efforts to establish the 2015 baseline and monitor early implementation of the UN Sustainable Development Goals (SDGs) highlight both great potential for and threats to improving health by 2030. To fully deliver on the SDG aim of "leaving no one behind", it is increasingly important to examine the health-related SDGs beyond national-level estimates. As part of the Global Burden of Diseases, Injuries, and Risk Factors Study 2017 (GBD 2017), we measured progress on 41 of 52 health -related SDG indicators and estimated the health-related SDG index for 195 countries and territories for the period 1990-2017, projected indicators to 2030, and analysed global attainment. Methods We measured progress on 41 health-related S DG indicators from 1990 to 2017, an increase of four indicators since GBD 2016 (new indicators were health worker density, sexual violence by non-intimate partners, population census status, and prevalence of physical and sexual violence [reported separately]). We also improved the measurement of several previously reported indicators. We constructed national-level estimates and, for a subset of health-related SDGs, examined indicator-level differences by sex and Socio-demographic Index (SDI) quintile. We also did subnational assessments of performance for selected countries. To construct the health related SDG index, we transformed the value for each indicator on a scale of 0-100, with 0 as the 2.5th percentile and 100 as the 97.5th percentile of 1000 draws calculated from 1990 to 2030, and took the geometric mean of the scaled indicators by target. To generate projections through 2030, we used a forecasting framework that drew estimates from the broader GBD study and used weighted averages of indicator-specific and country-specific annualised rates of change from 1990 to 2017 to inform future estimates. We assessed attainment of indicators with defined targets in two ways: first, using mean values projected for 2030, and then using the probability of attainment in 2030 calculated from 1000 draws. We also did a global attainment analysis of the feasibility of attaining SDG targets on the basis of past trends. Using 2015 global averages of indicators with defined SDG targets, we calculated the global annualised rates of change required from 2015 to 2030 to meet these targets, and then identified in what percentiles the required global annualised rates of change fell in the distribution of country-level rates of change from 1990 to 2015. We took the mean of these global percentile values across indicators and applied the past rate of change at this mean global percentile to all health-related SDG indicators, irrespective of target definition, to estimate the equivalent 2030 global average value and percentage change from 2015 to 2030 for each indicator. Findings The global median health-related SDG index in 2017 was 59.4 (IQR 35.4-67.3), ranging from a low of 11.6 (95% uncertainty interval 9.6-14.0) to a high of 84.9 (83.1-86.7). SDG index values in countries assessed at the subnational level varied substantially particularly in China and India, although scores in Japan and the UK were more homogeneous. Indicators also varied by SDI quintile and sex, with males having worse outcomes than females for non-communicable disease (NCD) mortality, alcohol use, and smoking, among others. Most countries were projected to have a higher health-related SDG index in 2030 than in 2017, while country-level probabilities of attainment by 2030 varied widely by indicator. Under-5 mortality, neonatal mortality, maternal mortality ratio, and malaria indicators had the most countries with at least 95% probability of target attainment. Other indicators, including NCD mortality and suicide mortality, had no countries projected to meet corresponding SDG targets on the basis of projected mean values for 2030 but showed some probability of attaimnent by 2030. For some indicators, including child malnutrition, several infectious diseases, and most violence measures, the annualised rates of change required to meet SDG targets far exceeded the pace of progress achieved by any country in the recent past. We found that applying the mean global annualised rate of change to indicators without defined targets would equate to about 19% and 22% reductions in global smoking and alcohol consumption, respectively; a 47% decline in adolescent birth rates; and a more than 85% increase in health worker density per 1000 population by 2030. Interpretation The GBD study offers a unique, robust platform for monitoring the health -related SDGs across demographic and geographic dimensions. Our findings underscore the importance of increased collection and analysis of disaggregated data and highlight where more deliberate design or targeting of interventions could accelerate progress in attaining the SDGs. Current projections show that many health -related SDG indicators, NCDs, NCD-related risks, and violence -related indicators will require a concerted shift away from what might have driven past gains curative interventions in the case of NCDs towards multisectoral, prevention -oriented policy action and investments to achieve SDG aims. Notably, several targets, if they are to be met by 2030, demand a pace of progress that no country has achieved in the recent past. The future is fundamentally uncertain, and no model can fully predict what breakthroughs or events might alter the course of the S DGs. What is clear is that our actions or inaction today will ultimately dictate how close the world, collectively, can get to leaving no one behind by 2030. Copyright (C) 2018 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license.
Published: 2018

22. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017

Author: Roth, Gregory A., Collaborotors, G. B. 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Jc, Ferrari, Aj, Feyissa, Gt, Foigt, Na, Foreman, Kj, Frank, Td, Fuller, Je, Fürst, T, Furtado, Jm, Futran, Nd, Garcia-Basteiro, Al, Garcia-Gordillo, Ma, Gardner, Wm, Gebre, Ak, Gebrehiwot, Tt, Gebremedhin, At, Gebremichael, Tg, Gelano, Tf, Geleijnse, Jm, Geramo, Ycd, Gething, Pw, Gezae, Ke, Ghadami, Mr, Gibney, Kb, Gill, Tk, Gillum, Rf, Ginawi, Ia, Goldberg, Em, Gómez-Dantés, H, Gona, Pn, Gopalani, Sv, Gorman, Tm, Goulart, Ac, Gnedovskaya, Ev, Gugnani, Hc, Guimaraes, Al, Gupta, Pc, Gutiérrez, Ra, Haagsma, Ja, Hagos, Tb, Hailegiyorgis, Tt, Hailu, Gb, Hamadeh, Rr, Handal, Aj, Hankey, Gj, Harb, Hl, Haro, Jm, Hassen, Hy, Hay, Rj, Hay, Si, Hegazy, Mi, Henry, Nj, Hibstu, Dt, Hoek, Hw, Hole, Mk, Hosgood, Hd, Hosseini, Sm, Hotez, Pj, Hoy, Dg, Huang, Jj, Hussen, Mm, Irvani, Ssn, Irvine, Cm, Islam, Sm, Jacobsen, Kh, Jain, Sk, Jalu, Mt, James, Sl, Jayatilleke, Au, Jenkins, Kj, Jha, Rp, Johnson, Co, Johnson, Sc, Jonas, Jb, Jozwiak, Jj, Jungari, Sb, Jürisson, M, Kassa, Dh, Kassa, Gm, Kassa, Td, Kassebaum, Nj, Katikireddi, Sv, Karyani, Ak, Kefale, At, Keiyoro, Pn, Kemp, Gr, Kengne, Ap, Kesavachandran, Cn, Khafaie, Ma, Khalil, Ia, Khan, Ea, Khan, Ma, Khang, Yh, Khater, Mm, Khoja, At, Khosravi, Mh, Kiadaliri, Aa, Kibret, Gd, Kidanemariam, Zt, Kiirithio, Dn, Kim, Ye, Kim, Yj, Kimokoti, Rw, Kivimäki, M, Knudsen, Ak, Kocarnik, Jm, Kopec, Ja, Koul, Pa, Kravchenko, Ma, Kumar, Ga, Kutz, Mj, Kyu, Hh, Lad, Dp, Lad, Sd, Lal, Dk, Lam, Jo, Lami, Fh, Lansingh, Vc, Larson, Hj, Lau, Km, Lazarus, Jv, Lee, Ph, Leshargie, Ct, Lim, Ll, Limenih, Ma, Lopez, Ad, Lotufo, Pa, Macarayan, Erk, Mackay, Mt, Maclachlan, Jh, Maddison, Er, Maghavani, Dp, Malta, Dc, Manda, Al, Mandarano-Filho, Lg, Mansournia, Ma, Mapoma, Cc, Maravilla, Jc, Marks, Gb, Martins-Melo, Fr, März, W, Marzan, Mb, Masci, Jr, Massenburg, Bb, Mathur, Mr, Maulik, Pk, Mcgrath, Jj, Mcmahon, Bj, Mehndiratta, Mm, Mehta, Km, Mekonnen, Tc, Memiah, Ptn, Memish, Za, Mengistu, Dt, Mensah, Ga, Mereta, St, Meretoja, Tj, Mezgebe, Hb, Millear, Ai, Miller, Tr, Miller-Petrie, Mk, Mini, Gk, Mirrakhimov, Em, Misganaw, At, Mohammad, Ka, Mohammed, Ma, Mokdad, Ah, Moreno Velásquez, I, Morrison, Sd, Moschos, Mm, Mousavi, Sm, Muchie, Kf, Mueller, Uo, Mumford, Je, Musa, Ki, Nachega, Jb, Nansseu, Jr, Nascimento, Br, Negoi, Ri, Newton, Crj, Ngalesoni, Fn, Ngunjiri, Jw, Nguyen, Aq, Nguyen, Ht, Nguyen, Lh, Nguyen, Th, Ningrum, Dna, Nirayo, Yl, Nixon, Mr, Norheim, Of, Noubiap, Jj, Nouri, Hr, Nourollahpour Shiadeh, M, Nowroozi, Mr, Odell, Cm, Ogbo, Fa, Oh, Ih, Olagunju, At, Olivares, Pr, Olsen, He, Olusanya, Bo, Olusanya, Jo, Ong, Kl, Ong, Sk, Orpana, Hm, Ortiz, Jr, Øverland, S, Owolabi, Mo, Özdemir, R, P A, M, Pakhare, Ap, Pakpour, Ah, Pandian, Jd, Park, Ek, Parry, Cdh, Patton, Gc, Paturi, Vr, Paulson, Kr, Pereira, Dm, Phillips, Mr, Piel, Fb, Pigott, Dm, Pillay, Jd, Postma, Mj, Purcell, Ca, Quistberg, Da, Rade, Kw, Radfar, A, Rafay, A, Rafiei, A, Rahim, F, Rahman, Mhu, Rahman, Ma, Rai, Rk, Ranabhat, Cl, Rao, Pc, Rawaf, Dl, Razo-García, C, Reiner, Rc, Reitsma, Mb, Renzaho, Amn, Riahi, Sm, Ribeiro, Alp, Rios-Blancas, Mj, Roba, Kt, Roberts, Nl, Robinson, Sr, Sahraian, Ma, Saldanha, Rf, Sambala, Ez, Samy, Am, Sanchez-Niño, Md, Santomauro, Df, Santos, Jv, Milicevic, Mm, Sao Jose, Bp, Sarker, Ar, Sarmiento-Suárez, R, Sawant, Ar, Schmidt, Mi, Schneider, Ijc, Schöttker, B, Schutte, Ae, Schwebel, Dc, Scott, Jg, Sepanlou, Sg, Serván-Mori, E, Shackelford, Ka, Shaheen, Aa, Shaikh, Ma, Shrime, Mg, Siddiqi, Tj, Sigfusdottir, Id, Silberberg, Dh, Silva, Da, Silva, Jp, Silva, Ntd, Silveira, Dga, Singh, Ja, Singh, Np, Singh, Pk, Sinha, Dn, Sobaih, Bh, Sorensen, Rjd, Soriano, Jb, Soyiri, In, Sposato, La, Sreeramareddy, Ct, Stanaway, Jd, Starodubov, Vi, Stein, Dj, Stewart, Lg, Stokes, Ma, Subart, Ml, Sufiyan, Mb, Sur, Pj, Sykes, Bl, Sylaja, Pn, Sylte, Do, Szoeke, Cei, Tabarés-Seisdedos, R, Tadakamadla, Sk, Tassew, Sg, Tekalign, Tg, Tekle, Mg, Temsah, Mh, Teshale, My, Tessema, Ga, Thankappan, Kr, Thrift, Ag, Thurston, Gd, To, Qg, Torre, Ae, Tortajada-Girbés, M, Tovani-Palone, Mr, Tran, Bx, Tran, Kb, Troeger, Ce, Truelsen, Tc, Truong, Nt, Tsadik, Ag, Tuzcu, Em, Ukwaja, Kn, Undurraga, Ea, Updike, Rl, Uthman, Oa, Uzun, Sb, Valdez, Pr, Vasankari, Tj, Vladimirov, Sk, Vollset, Se, Wagner, Gr, Wallin, Mt, Walson, Jl, Wang, Yp, Wassie, Mm, Weintraub, Rg, Weldegwergs, Kg, Werkneh, Aa, West, Te, Whiteford, Ha, Wilner, Lb, Wolfe, Cda, Wu, Yc, Wyper, Gma, Yahyazadeh Jabbari, Sh, Yan, Ll, Yasin, Yj, Yentür, Gk, Yimer, Em, Yirsaw, Bd, Yoon, Sj, Younis, Mz, Zaman, Sb, Zeleke, Aj, Zenebe, Zm, Zhang, Al, Zuhlke, Lj, and Murray, Cjl.
Subjects: Adult, Male, Adolescent, national age-sex-specific mortality, UNITED-STATES, Global Health, Socioeconomic Factor, Global Burden of Disease, GBD, causes of death, Young Adult, Age Distribution, Life Expectancy, General & Internal Medicine, Cause of Death, PUBLIC-HEALTH PROBLEM, mortality, 282 causes global burden of disease, Sex Distribution, Child, Aged, Aged, 80 and over, BARRIERS, DEMENTIA, Medicine (all), Infant, Newborn, Infant, 11 Medical And Health Sciences, Middle Aged, TRENDS, PREVENTION, PREVALENCE, ALZHEIMERS-DISEASE, INDIVIDUALS, 3121 General medicine, internal medicine and other clinical medicine, Child, Preschool, REGISTRATION, Female, Human medicine, Human
Abstract: Background Global development goals increasingly rely on country-specific estimates for benchmarking a nation's progress. To meet this need, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2016 estimated global, regional, national, and, for selected locations, subnational cause-specific mortality beginning in the year 1980. Here we report an update to that study, making use of newly available data and improved methods. GBD 2017 provides a comprehensive assessment of cause-specific mortality for 282 causes in 195 countries and territories from 1980 to 2017. Methods The causes of death database is composed of vital registration (VR), verbal autopsy (VA), registry, survey, police, and surveillance data. GBD 2017 added ten VA studies, 127 country-years of VR data, 502 cancer-registry country-years, and an additional surveillance country-year. Expansions of the GBD cause of death hierarchy resulted in 18 additional causes estimated for GBD 2017. Newly available data led to subnational estimates for five additional countries Ethiopia, Iran, New Zealand, Norway, and Russia. Deaths assigned International Classification of Diseases (ICD) codes for non-specific, implausible, or intermediate causes of death were reassigned to underlying causes by redistribution algorithms that were incorporated into uncertainty estimation. We used statistical modelling tools developed for GBD, including the Cause of Death Ensemble model (CODErn), to generate cause fractions and cause specific death rates for each location, year, age, and sex. Instead of using UN estimates as in previous versions, GBD 2017 independently estimated population size and fertility rate for all locations. Years of life lost (YLLs) were then calculated as the sum of each death multiplied by the standard life expectancy at each age. All rates reported here are age-standardised. Findings At the broadest grouping of causes of death (Level 1), non-communicable diseases (NC Ds) comprised the greatest fraction of deaths, contributing to 73.4% (95% uncertainty interval [UI] 72.5-74.1) of total deaths in 2017, while communicable, maternal, neonatal, and nutritional (CMNN) causes accounted for 186% (17.9-19.6), and injuries 8.0% (7.7-8.2). Total numbers of deaths from NCD causes increased from 2007 to 2017 by 22.7% (21.5-23.9), representing an additional 7.61 million (7. 20-8.01) deaths estimated in 2017 versus 2007. The death rate from NCDs decreased globally by 7.9% (7.08.8). The number of deaths for CMNN causes decreased by 222% (20.0-24.0) and the death rate by 31.8% (30.1-33.3). Total deaths from injuries increased by 2.3% (0-5-4-0) between 2007 and 2017, and the death rate from injuries decreased by 13.7% (12.2-15.1) to 57.9 deaths (55.9-59.2) per 100 000 in 2017. Deaths from substance use disorders also increased, rising from 284 000 deaths (268 000-289 000) globally in 2007 to 352 000 (334 000-363 000) in 2017. Between 2007 and 2017, total deaths from conflict and terrorism increased by 118.0% (88.8-148.6). A greater reduction in total deaths and death rates was observed for some CMNN causes among children younger than 5 years than for older adults, such as a 36.4% (32.2-40.6) reduction in deaths from lower respiratory infections for children younger than 5 years compared with a 33.6% (31.2-36.1) increase in adults older than 70 years. Globally, the number of deaths was greater for men than for women at most ages in 2017, except at ages older than 85 years. Trends in global YLLs reflect an epidemiological transition, with decreases in total YLLs from enteric infections, respirator}, infections and tuberculosis, and maternal and neonatal disorders between 1990 and 2017; these were generally greater in magnitude at the lowest levels of the Socio-demographic Index (SDI). At the same time, there were large increases in YLLs from neoplasms and cardiovascular diseases. YLL rates decreased across the five leading Level 2 causes in all SDI quintiles. The leading causes of YLLs in 1990 neonatal disorders, lower respiratory infections, and diarrhoeal diseases were ranked second, fourth, and fifth, in 2017. Meanwhile, estimated YLLs increased for ischaemic heart disease (ranked first in 2017) and stroke (ranked third), even though YLL rates decreased. Population growth contributed to increased total deaths across the 20 leading Level 2 causes of mortality between 2007 and 2017. Decreases in the cause-specific mortality rate reduced the effect of population growth for all but three causes: substance use disorders, neurological disorders, and skin and subcutaneous diseases. Interpretation Improvements in global health have been unevenly distributed among populations. Deaths due to injuries, substance use disorders, armed conflict and terrorism, neoplasms, and cardiovascular disease are expanding threats to global health. For causes of death such as lower respiratory and enteric infections, more rapid progress occurred for children than for the oldest adults, and there is continuing disparity in mortality rates by sex across age groups. Reductions in the death rate of some common diseases are themselves slowing or have ceased, primarily for NCDs, and the death rate for selected causes has increased in the past decade. Copyright (C) 2018 The Author(s). Published by Elsevier Ltd.
Published: 2018

23. Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017

Author: Stanaway, Jeffrey D., Afshin, Ashkan, Gakidou, Emmanuela, Lim, Stephen S., Abate, Degu, Abate, Kalkidan Hassen, Abbafati, Cristiana, Abbasi, Nooshin, Abbastabar, Hedayat, Abd-Allah, Foad, Abdela, Jemal, Abdelalim, Ahmed, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abebe, Molla, Abebe, Zegeye, Abera, Semaw F., Abil, Olifan Zewdie, Abraha, Haftom Niguse, Abrham, Aklilu Roba, Abu-Raddad, Laith Jamal, Abu-Rmeileh, Niveen ME, Accrombessi, Manfred Mario Kokou, Acharya, Dilaram, Acharya, Pawan, Adamu, Abdu A., Adane, Akilew Awoke, Adebayo, Oladimeji M., Adedoyin, Rufus Adesoji, Adekanmbi, Victor, Ademi, Zanfina, Adetokunboh, Olatunji O., Adib, Mina G., Admasie, Amha, Adsuar, Jose C., Afanvi, Kossivi Agbelenko, Afarideh, Mohsen, Agarwal, Gina, Aggarwal, Anju, Aghayan, Sargis Aghasi, Agrawal, Anurag, Agrawal, Sutapa, Ahmadi, Alireza, Ahmadi, Mehdi, Ahmadieh, Hamid, Ahmed, Muktar Beshir, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Akbari, Mohammad Esmaeil, Akinyemiju, Tomi, Akseer, Nadia, Al-Aly, Ziyad, Al-Eyadhy, Ayman, Al-Mekhlafi, Hesham M., Alahdab, Fares, Alam, Khurshid, Alam, Samiah, Alam, Tahiya, Alashi, Alaa, Alavian, Seyed Moayed, Alene, Kefyalew Addis, Ali, Komal, Ali, Syed Mustafa, Alijanzadeh, Mehran, Alizadeh-Navaei, Reza, Aljunid, Syed Mohamed, Alkerwi, Ala'a, Alla, François, Alsharif, Ubai, Altirkawi, Khalid, Alvis-Guzman, Nelson, Amare, Azmeraw T., Ammar, Walid, Anber, Nahla Hamed, Anderson, Jason A., Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Anjomshoa, Mina, Ansha, Mustafa Geleto, Antó, Josep M., Antonio, Carl Abelardo T., Anwari, Palwasha, Appiah, Lambert Tetteh, Appiah, Seth Christopher Yaw, Arabloo, Jalal, Aremu, Olatunde, Ärnlöv, Johan, Artaman, Al, Aryal, Krishna K., Asayesh, Hamid, Ataro, Zerihun, Ausloos, Marcel, Avokpaho, Euripide F.G.A., Awasthi, Ashish, Ayala Quintanilla, Beatriz Paulina, Ayer, Rakesh, Ayuk, Tambe B., Azzopardi, Peter S., Babazadeh, Arefeh, Badali, Hamid, Badawi, Alaa, Balakrishnan, Kalpana, Bali, Ayele Geleto, Ball, Kylie, Ballew, Shoshana H., Banach, Maciej, Banoub, Joseph Adel Mattar, Barac, Aleksandra, Barker-Collo, Suzanne Lyn, Bärnighausen, Till Winfried, Barrero, Lope H., Basu, Sanjay, Baune, Bernhard T., Bazargan-Hejazi, Shahrzad, Bedi, Neeraj, Beghi, Ettore, Behzadifar, Masoud, Behzadifar, Meysam, Béjot, Yannick, Bekele, Bayu Begashaw, Bekru, Eyasu Tamru, Belay, Ezra, Belay, Yihalem Abebe, Bell, Michelle L., Bello, Aminu K., Bennett, Derrick A., Bensenor, Isabela M., Bergeron, Gilles, Berhane, Adugnaw, Bernabe, Eduardo, Bernstein, Robert S., Beuran, Mircea, Beyranvand, Tina, Bhala, Neeraj, Bhalla, Ashish, Bhattarai, Suraj, Bhutta, Zulfiqar A., Biadgo, Belete, Bijani, Ali, Bikbov, Boris, Bilano, Ver, Bililign, Nigus, Bin Sayeed, Muhammad Shahdaat, Bisanzio, Donal, Biswas, Tuhin, Bjørge, Tone, Blacker, Brigette F., Bleyer, Archie, Borschmann, Rohan, Bou-Orm, Ibrahim R., Boufous, Soufiane, Bourne, Rupert, Brady, Oliver J., Brauer, Michael, Brazinova, Alexandra, Breitborde, Nicholas J.K., Brenner, Hermann, Briko, Andrey Nikolaevich, Britton, Gabrielle, Brugha, Traolach, Buchbinder, Rachelle, Burnett, Richard T., Busse, Reinhard, Butt, Zahid A., Cahill, Leah E., Cahuana-Hurtado, Lucero, Campos-Nonato, Ismael R., Cárdenas, Rosario, Carreras, Giulia, Carrero, Juan J., Carvalho, Félix, Castañeda-Orjuela, Carlos A., Castillo Rivas, Jacqueline, Castro, Franz, Catalá-López, Ferrán, Causey, Kate, Cercy, Kelly M., Cerin, Ester, Chaiah, Yazan, Chang, Hsing Yi, Chang, Jung Chen, Chang, Kai Lan, Charlson, Fiona J., Chattopadhyay, Aparajita, Chattu, Vijay Kumar, Chee, Miao Li, Cheng, Ching Yu, Chew, Adrienne, Chiang, Peggy Pei Chia, Chimed-Ochir, Odgerel, Chin, Ken Lee, Chitheer, Abdulaal, Choi, Jee Young J., Chowdhury, Rajiv, Christensen, Hanne, Christopher, Devasahayam J., Chung, Sheng Chia, Cicuttini, Flavia M., Cirillo, Massimo, Cohen, Aaron J., Collado-Mateo, Daniel, Cooper, Cyrus, Cooper, Owen R., Coresh, Josef, Cornaby, Leslie, Cortesi, Paolo Angelo, Cortinovis, Monica, Costa, Megan, Cousin, Ewerton, Criqui, Michael H., Cromwell, Elizabeth A., Cundiff, David K., Daba, Alemneh Kabeta, Dachew, Berihun Assefa, Dadi, Abel Fekadu, Damasceno, Albertino Antonio Moura, Dandona, Lalit, Dandona, Rakhi, Darby, Sarah C., Dargan, Paul I., Daryani, Ahmad, Das Gupta, Rajat, Das Neves, José, Dasa, Tamirat Tesfaye, Dash, Aditya Prasad, Davitoiu, Dragos Virgil, Davletov, Kairat, De la Cruz-Góngora, Vanessa, De La Hoz, Fernando Pio, De Leo, Diego, De Neve, Jan Walter, Degenhardt, Louisa, Deiparine, Selina, Dellavalle, Robert P., Demoz, Gebre Teklemariam, Denova-Gutiérrez, Edgar, Deribe, Kebede, Dervenis, Nikolaos, Deshpande, Aniruddha, Des Jarlais, Don C., Dessie, Getenet Ayalew, Deveber, Gabrielle Aline, Dey, Subhojit, Dharmaratne, Samath Dhamminda, Dhimal, Meghnath, Dinberu, Mesfin Tadese, Ding, Eric L., Diro, Helen Derara, Djalalinia, Shirin, Do, Huyen Phuc, Dokova, Klara, Doku, David Teye, Doyle, Kerrie E., Driscoll, Tim R., Dubey, Manisha, Dubljanin, Eleonora, Duken, Eyasu Ejeta, Duncan, Bruce B., Duraes, Andre R., Ebert, Natalie, Ebrahimi, Hedyeh, Ebrahimpour, Soheil, Edvardsson, David, Effiong, Andem, Eggen, Anne Elise, El Bcheraoui, Charbel, El-Khatib, Ziad, Elyazar, Iqbal Rf, Enayati, Ahmadali, Endries, Aman Yesuf, Er, Benjamin, Erskine, Holly E., Eskandarieh, Sharareh, Esteghamati, Alireza, Estep, Kara, Fakhim, Hamed, Faramarzi, Mahbobeh, Fareed, Mohammad, Farid, Talha A., Farinha, Carla Sofia E.sá, Farioli, Andrea, Faro, Andre, Farvid, Maryam S., Farzaei, Mohammad Hosein, Fatima, Batool, Fay, Kairsten A., Fazaeli, Ali Akbar, Feigin, Valery L., Feigl, Andrea B., Fereshtehnejad, Seyed Mohammad, Fernandes, Eduarda, Fernandes, Joao C., Ferrara, Giannina, Ferrari, Alize J., Ferreira, Manuela L., Filip, Irina, Finger, Jonas David, Fischer, Florian, Foigt, Nataliya A., Foreman, Kyle J., Fukumoto, Takeshi, Fullman, Nancy, Fürst, Thomas, Furtado, João M., Futran, Neal D., Gall, Seana, Gallus, Silvano, Gamkrelidze, Amiran, Ganji, Morsaleh, Garcia-Basteiro, Alberto L., Gardner, William M., Gebre, Abadi Kahsu, Gebremedhin, Amanuel Tesfay, Gebremichael, Teklu Gebrehiwo, Gelano, Tilayie Feto, Geleijnse, Johanna M., Geramo, Yilma Chisha Dea, Gething, Peter W., Gezae, Kebede Embaye, Ghadimi, Reza, Ghadiri, Keyghobad, Ghasemi Falavarjani, Khalil, Ghasemi-Kasman, Maryam, Ghimire, Mamata, Ghosh, Rakesh, Ghoshal, Aloke Gopal, Giampaoli, Simona, Gill, Paramjit Singh, Gill, Tiffany K., Gillum, Richard F., Ginawi, Ibrahim Abdelmageed, Giussani, Giorgia, Gnedovskaya, Elena V., Godwin, William W., Goli, Srinivas, Gómez-Dantés, Hector, Gona, Philimon N., Gopalani, Sameer Vali, Goulart, Alessandra C., Grada, Ayman, Grams, Morgan E., Grosso, Giuseppe, Gugnani, Harish Chander, Guo, Yuming, Gupta, Rahul, Gupta, Rajeev, Gupta, Tanush, Gutiérrez, Reyna Alma, Gutiérrez-Torres, Daniela S., Haagsma, Juanita A., Habtewold, Tesfa Dejenie, Hachinski, Vladimir, Hafezi-Nejad, Nima, Hagos, Tekleberhan B., Hailegiyorgis, Tewodros Tesfa, Hailu, Gessessew Bugssa, Haj-Mirzaian, Arvin, Haj-Mirzaian, Arya, Hamadeh, Randah R., Hamidi, Samer, Handal, Alexis J., Hankey, Graeme J., Hao, Yuantao, Harb, Hilda L., Harikrishnan, Sivadasanpillai, Haro, Josep Maria, Hassankhani, Hadi, Hassen, Hamid Yimam, Havmoeller, Rasmus, Hawley, Caitlin N., Hay, Simon I., Hedayatizadeh-Omran, Akbar, Heibati, Behzad, Heidari, Behnam, Heidari, Mohsen, Hendrie, Delia, Henok, Andualem, Heredia-Pi, Ileana, Herteliu, Claudiu, Heydarpour, Fatemeh, Heydarpour, Sousan, Hibstu, Desalegn T., Higazi, Tarig B., Hilawe, Esayas Haregot, Hoek, Hans W., Hoffman, Howard J., Hole, Michael K., Homaie Rad, Enayatollah, Hoogar, Praveen, Hosgood, H. Dean, Hosseini, Seyed Mostafa, Hosseinzadeh, Mehdi, Hostiuc, Mihaela, Hostiuc, Sorin, Hoy, Damian G., Hsairi, Mohamed, Hsiao, Thomas, Hu, Guoqing, Hu, Howard, Huang, John J., Hussen, Mamusha Aman, Huynh, Chantal K., Iburg, Kim Moesgaard, Ikeda, Nayu, Ilesanmi, Olayinka Stephen, Iqbal, Usman, Irvani, Seyed Sina Naghibi, Irvine, Caleb Mackay Salpeter, Islam, Sheikh Mohammed Shariful, Islami, Farhad, Jackson, Maria D., Jacobsen, Kathryn H., Jahangiry, Leila, Jahanmehr, Nader, Jain, Sudhir Kumar, Jakovljevic, Mihajlo, James, Spencer L., Jassal, Simerjot K., Jayatilleke, Achala Upendra, Jeemon, Panniyammakal, Jha, Ravi Prakash, Jha, Vivekanand, Ji, John S., Jonas, Jost B., Jonnagaddala, Jitendra, Jorjoran Shushtari, Zahra, Joshi, Ankur, Jozwiak, Jacek Jerzy, Jürisson, Mikk, Kabir, Zubair, Kahsay, Amaha, Kalani, Rizwan, Kanchan, Tanuj, Kant, Surya, Kar, Chittaranjan, Karami, Manoochehr, Karami Matin, Behzad, Karch, André, Karema, Corine, Karimi, Narges, Karimi, Seyed M., Kasaeian, Amir, Kassa, Dessalegn H., Kassa, Getachew Mullu, Kassa, Tesfaye Dessale, Kassebaum, Nicholas J., Katikireddi, Srinivasa Vittal, Kaul, Anil, Kawakami, Norito, Kazemi, Zhila, Karyani, Ali Kazemi, Kefale, Adane Teshome, Keiyoro, Peter Njenga, Kemp, Grant Rodgers, Kengne, Andre Pascal, Keren, Andre, Kesavachandran, Chandrasekharan Nair, Khader, Yousef Saleh, Khafaei, Behzad, Khafaie, Morteza Abdullatif, Khajavi, Alireza, Khalid, Nauman, Khalil, Ibrahim A., Khan, Gulfaraz, Khan, Muhammad Shahzeb, Khan, Muhammad Ali, Khang, Young Ho, Khater, Mona M., Khazaei, Mohammad, Khazaie, Habibolah, Khoja, Abdullah T., Khosravi, Ardeshir, Khosravi, Mohammad Hossein, Kiadaliri, Aliasghar A., Kiirithio, Daniel N., Kim, Cho Il, Kim, Daniel, Kim, Young Eun, Kim, Yun Jin, Kimokoti, Ruth W., Kinfu, Yohannes, Kisa, Adnan, Kissimova-Skarbek, Katarzyna, Kivimäki, Mika, Knibbs, Luke D., Knudsen, Ann Kristin Skrindo, Kochhar, Sonali, Kokubo, Yoshihiro, Kolola, Tufa, Kopec, Jacek A., Kosen, Soewarta, Koul, Parvaiz A., Koyanagi, Ai, Kravchenko, Michael A., Krishan, Kewal, Krohn, Kristopher J., Kromhout, Hans, Kuate Defo, Barthelemy, Kucuk Bicer, Burcu, Kumar, G. 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Sk, Vollset, Se, Vu, Gt, Waller, Sg, Walson, Jl, Wang, Yp, Weintraub, Rg, Werkneh, Aa, West, Jj, Whiteford, Ha, Wiyeh, Ab, Wolfe, Cda, Wong, Ty, Yahyazadeh Jabbari, Sh, Yan, Ll, Yasin, Yj, Yimer, Em, Yoon, Sj, Younis, Mz, Zaman, Sb, Zhang, Al, Zimsen, Srm, Murray, Cjl., Stanaway, Jeffrey D, Afshin, Ashkan, Gakidou, Emmanuela, Lim, Stephen S, Abate, Degu, Abate, Kalkidan Hassen, Abbafati, Cristiana, Abbasi, Nooshin, Abbastabar, Hedayat, Abd-Allah, Foad, Abdela, Jemal, Abdelalim, Ahmed, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abebe, Molla, Abebe, Zegeye, Abera, Semaw F, Abil, Olifan Zewdie, Abraha, Haftom Niguse, Abrham, Aklilu Roba, Abu-Raddad, Laith Jamal, Abu-Rmeileh, Niveen ME, Accrombessi, Manfred Mario Kokou, Acharya, Dilaram, Acharya, Pawan, Adamu, Abdu A, Adane, Akilew Awoke, Adebayo, Oladimeji M, Adedoyin, Rufus Adesoji, Adekanmbi, Victor, Ademi, Zanfina, Adetokunboh, Olatunji O, Adib, Mina G, Admasie, Amha, Adsuar, Jose C, Afanvi, Kossivi Agbelenko, Afarideh, 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Kumar, Takahashi, Ken, Tandon, Nikhil, Tassew, Segen Gebremeskel, Tavakkoli, Mohammad, Taveira, Nuno, Tehrani-Banihashemi, Arash, Tekalign, Tigist Gashaw, Tekelemedhin, Shishay Wahdey, Tekle, Merhawi Gebremedhin, Temesgen, Habtamu, Temsah, Mohamad-Hani, Temsah, Omar, Terkawi, Abdullah Sulieman, Tessema, Belay, Teweldemedhin, Mebrahtu, Thankappan, Kavumpurathu Raman, Theis, Andrew, Thirunavukkarasu, Sathish, Thomas, Hannah J, Thomas, Matthew Lloyd, Thomas, Nihal, Thurston, George D, Tilahun, Binyam, Tillmann, Taavi, To, Quyen G, Tobollik, Myriam, Tonelli, Marcello, Topor-Madry, Roman, Torre, Anna E, Tortajada-Girbés, Miguel, Touvier, Mathilde, Tovani-Palone, Marcos Roberto, Towbin, Jeffrey A, Tran, Bach Xuan, Tran, Khanh Bao, Truelsen, Thomas Clement, Truong, Nu Thi, Tsadik, Afewerki Gebremeskel, Tudor Car, Lorainne, Tuzcu, E Murat, Tymeson, Hayley D, Tyrovolas, Stefano, Ukwaja, Kingsley N, Ullah, Irfan, Updike, Rachel L, Usman, Muhammad Shariq, Uthman, Olalekan A, Vaduganathan, Muthiah, Vaezi, Afsane, Valdez, Pascual R, Van Donkelaar, Aaron, Varavikova, Elena, Varughese, Santosh, Vasankari, Tommi Juhani, Venkateswaran, Vidhya, Venketasubramanian, Narayanaswamy, Villafaina, Santo, Violante, Francesco S, Vladimirov, Sergey Konstantinovitch, Vlassov, Vasily, Vollset, Stein Emil, Vos, Theo, Vosoughi, Kia, Vu, Giang Thu, Vujcic, Isidora S, Wagnew, Fasil Shiferaw, Waheed, Yasir, Waller, Stephen G, Walson, Judd L, Wang, Yafeng, Wang, Yanping, Wang, Yuan-Pang, Weiderpass, Elisabete, Weintraub, Robert G, Weldegebreal, Fitsum, Werdecker, Andrea, Werkneh, Adhena Ayaliew, West, J Jason, Westerman, Ronny, Whiteford, Harvey A, Widecka, Justyna, Wijeratne, Tissa, Winkler, Andrea Sylvia, Wiyeh, Alison B, Wiysonge, Charles Shey, Wolfe, Charles D A, Wong, Tien Yin, Wu, Shouling, Xavier, Deni, Xu, Gelin, Yadgir, Simon, Yadollahpour, Ali, Yahyazadeh Jabbari, Seyed Hossein, Yamada, Tomohide, Yan, Lijing L, Yano, Yuichiro, Yaseri, Mehdi, Yasin, Yasin Jemal, Yeshaneh, Alex, Yimer, Ebrahim M, Yip, Paul, Yisma, Engida, Yonemoto, Naohiro, Yoon, Seok-Jun, Yotebieng, Marcel, Younis, Mustafa Z, Yousefifard, Mahmoud, Yu, Chuanhua, Zaidi, Zoubida, Zaman, Sojib Bin, Zamani, Mohammad, Zavala-Arciniega, Lui, Zhang, Anthony Lin, Zhang, Hao, Zhang, Kai, Zhou, Maigeng, Zimsen, Stephanie R M, Zodpey, Sanjay, and Murray, Christopher J L
Subjects: Science & Technology, GBD, risks, risk factors, comparative risk assesment, Dalys, Medicine (all), CHOLESTEROL, BLOOD-PRESSURE, 11 Medical And Health Sciences, ILLNESS, TRENDS, humanities, Medicine, General & Internal, TOBACCO CONTROL, General & Internal Medicine, parasitic diseases, Medicine and Health Sciences, CARDIOVASCULAR-DISEASES, TRIAL, Human medicine, Life Sciences & Biomedicine, METAANALYSIS
Abstract: Background The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 comparative risk assessment (CRA) is a comprehensive approach to risk factor quantification that offers a useful tool for synthesising evidence on risks and risk–outcome associations. With each annual GBD study, we update the GBD CRA to incorporate improved methods, new risks and risk–outcome pairs, and new data on risk exposure levels and risk– outcome associations. Methods We used the CRA framework developed for previous iterations of GBD to estimate levels and trends in exposure, attributable deaths, and attributable disability-adjusted life-years (DALYs), by age group, sex, year, and location for 84 behavioural, environmental and occupational, and metabolic risks or groups of risks from 1990 to 2017. This study included 476 risk–outcome pairs that met the GBD study criteria for convincing or probable evidence of causation. We extracted relative risk and exposure estimates from 46 749 randomised controlled trials, cohort studies, household surveys, census data, satellite data, and other sources. We used statistical models to pool data, adjust for bias, and incorporate covariates. Using the counterfactual scenario of theoretical minimum risk exposure level (TMREL), we estimated the portion of deaths and DALYs that could be attributed to a given risk. We explored the relationship between development and risk exposure by modelling the relationship between the Socio-demographic Index (SDI) and risk-weighted exposure prevalence and estimated expected levels of exposure and risk-attributable burden by SDI. Finally, we explored temporal changes in risk-attributable DALYs by decomposing those changes into six main component drivers of change as follows: (1) population growth; (2) changes in population age structures; (3) changes in exposure to environmental and occupational risks; (4) changes in exposure to behavioural risks; (5) changes in exposure to metabolic risks; and (6) changes due to all other factors, approximated as the risk-deleted death and DALY rates, where the risk-deleted rate is the rate that would be observed had we reduced the exposure levels to the TMREL for all risk factors included in GBD 2017. Findings In 2017, 34·1 million (95% uncertainty interval [UI] 33·3–35·0) deaths and 1·21 billion (1·14–1·28) DALYs were attributable to GBD risk factors. Globally, 61·0% (59·6–62·4) of deaths and 48·3% (46·3–50·2) of DALYs were attributed to the GBD 2017 risk factors. When ranked by risk-attributable DALYs, high systolic blood pressure (SBP) was the leading risk factor, accounting for 10·4 million (9·39–11·5) deaths and 218 million (198–237) DALYs, followed by smoking (7·10 million [6·83–7·37] deaths and 182 million [173–193] DALYs), high fasting plasma glucose (6·53 million [5·23–8·23] deaths and 171 million [144–201] DALYs), high body-mass index (BMI; 4·72 million [2·99–6·70] deaths and 148 million [98·6–202] DALYs), and short gestation for birthweight (1·43 million [1·36–1·51] deaths and 139 million [131–147] DALYs). In total, risk-attributable DALYs declined by 4·9% (3·3–6·5) between 2007 and 2017. In the absence of demographic changes (ie, population growth and ageing), changes in risk exposure and risk-deleted DALYs would have led to a 23·5% decline in DALYs during that period. Conversely, in the absence of changes in risk exposure and risk-deleted DALYs, demographic changes would have led to an 18·6% increase in DALYs during that period. The ratios of observed risk exposure levels to exposure levels expected based on SDI (O/E ratios) increased globally for unsafe drinking water and household air pollution between 1990 and 2017. This result suggests that development is occurring more rapidly than are changes in the underlying risk structure in a population. Conversely, nearly universal declines in O/E ratios for smoking and alcohol use indicate that, for a given SDI, exposure to these risks is declining. In 2017, the leading Level 4 risk factor for age-standardised DALY rates was high SBP in four super-regions: central Europe, eastern Europe, and central Asia; north Africa and Middle East; south Asia; and southeast Asia, east Asia, and Oceania. The leading risk factor in the high-income super-region was smoking, in Latin America and Caribbean was high BMI, and in sub-Saharan Africa was unsafe sex. O/E ratios for unsafe sex in sub-Saharan Africa were notably high, and those for alcohol use in north Africa and the Middle East were notably low. Lancet 2018; 392: 1923–94 *Collaborators listed at the end of the paper Correspondence to: Prof Christopher J L Murray, Institute for Health Metrics and Evalution, Seattle, WA 98121, USA cjlm@uw.edu Global Health Metrics 1924 www.thelancet.com Vol 392 November 10, 2018 Interpretation By quantifying levels and trends in exposures to risk factors and the resulting disease burden, this assessment offers insight into where past policy and programme efforts might have been successful and highlights current priorities for public health action. Decreases in behavioural, environmental, and occupational risks have largely offset the effects of population growth and ageing, in relation to trends in absolute burden. Conversely, the combination of increasing metabolic risks and population ageing will probably continue to drive the increasing trends in non-communicable diseases at the global level, which presents both a public health challenge and opportunity. We see considerable spatiotemporal heterogeneity in levels of risk exposure and risk-attributable burden. Although levels of development underlie some of this heterogeneity, O/E ratios show risks for which countries are overperforming or underperforming relative to their level of development. As such, these ratios provide a benchmarking tool to help to focus local decision making. Our findings reinforce the importance of both risk exposure monitoring and epidemiological research to assess causal connections between risks and health outcomes, and they highlight the usefulness of the GBD study in synthesising data to draw comprehensive and robust conclusions that help to inform good policy and strategic health planning.
Published: 2018

24. Population and fertility by age and sex for 195 countries and territories, 1950-2017: a systematic analysis for the Global Burden of Disease Study 2017

Author: Murray, Christopher J L, Callender, Charlton S K H, Kulikoff, Xie Rachel, Srinivasan, Vinay, Abate, Degu, Abate, Kalkidan Hassen, Abay, Solomon M, Abbasi, Nooshin, Abbastabar, Hedayat, Abdela, Jemal, Abdelalim, Ahmed, Abdel-Rahman, Omar, Abdi, Alireza, Abdoli, Nasrin, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abebe, Haftom Temesgen, Abebe, Molla, Abebe, Zegeye, Abebo, Teshome Abuka, Abejie, Ayenew Negesse, Aboyans, Victor, Abraha, Haftom Niguse, Abreu, Daisy Maria Xavier, Abrham, Aklilu Roba, Abu-Raddad, Laith Jamal, Abu-Rmeileh, Niveen M E, Accrombessi, Manfred Mario Kokou, Acharya, Pawan, Adamu, Abdu A, Adebayo, Oladimeji M, Adedeji, Isaac Akinkunmi, Adekanmbi, Victor, Adetokunboh, Olatunji O, Adhena, Beyene Meressa, Adhikari, Tara Ballav, Adib, Mina G, Adou, Arsène Kouablan, Adsuar, Jose C, Afarideh, Mohsen, Afshin, Ashkan, Agarwal, Gina, Agesa, Kareha M, Aghayan, Sargis Aghasi, Agrawal, Sutapa, Ahmadi, Alireza, Ahmadi, Mehdi, Ahmed, Muktar Beshir, Ahmed, Sayem, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Akanda, Ali S, Akbari, Mohammad Esmaeil, Akibu, Mohammed, Akinyemi, Rufus Olusola, Akinyemiju, Tomi, Akseer, Nadia, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alebel, Animut, Aleman, Alicia V, Alene, Kefyalew Addis, Al-Eyadhy, Ayman, Ali, Raghib, Alijanzadeh, Mehran, Alizadeh-Navaei, Reza, Aljunid, Syed Mohamed, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Almasi, Ali, Alonso, Jordi, Al-Raddadi, Rajaa M, Alsharif, Ubai, Altirkawi, Khalid, Alvis-Guzman, Nelson, Amare, Azmeraw T, Ammar, Walid, Anber, Nahla Hamed, Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Ansari, Hossein, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, Appiah, Seth Christopher Yaw, Aremu, Olatunde, Areri, Habtamu Abera, Arian, Nicholas, Ärnlöv, Johan, Artaman, Al, Aryal, Krishna K, Asayesh, Hamid, Asfaw, Ephrem Tsegay, Asgedom, Solomon Weldegebreal, Assadi, Reza, Atey, Tesfay Mehari Mehari, Atique, Suleman, Atteraya, Madhu Sudhan, Ausloos, Marcel, Avokpaho, Euripide F G A, Awasthi, Ashish, Ayala Quintanilla, Beatriz Paulina, Ayele, Yohanes, Ayer, Rakesh, Ayuk, Tambe B, Azzopardi, Peter S, Babalola, Tesleem Kayode, Babazadeh, Arefeh, Badali, Hamid, Badawi, Alaa, Bali, Ayele Geleto, Banach, Maciej, Barker-Collo, Suzanne Lyn, Bärnighausen, Till Winfried, Barrero, Lope H, Basaleem, Huda, Bassat, Quique, Basu, Arindam, Baune, Bernhard T, Baynes, Habtamu Wondifraw, Beghi, Ettore, Behzadifar, Masoud, Behzadifar, Meysam, Bekele, Bayu Begashaw, Belachew, Abate Bekele, Belay, Aregawi Gebreyesus, Belay, Ezra, Belay, Saba Abraham, Belay, Yihalem Abebe, Bell, Michelle L, Bello, Aminu K, Bennett, Derrick A, Bensenor, Isabela M, Bergeron, Gilles, Berhane, Adugnaw, Berman, Adam E, Bernabe, Eduardo, Bernstein, Robert S, Bertolacci, Gregory J, Beuran, Mircea, Bhattarai, Suraj, Bhaumik, Soumyadeep, Bhutta, Zulfiqar A, Biadgo, Belete, Bijani, Ali, Bikbov, Boris, Bililign, Nigus, Bin Sayeed, Muhammad Shahdaat, Birlik, Sait Mentes, Birungi, Charles, Biswas, Tuhin, Bizuneh, Hailemichael, Bleyer, Archie, Basara, Berrak Bora, Bosetti, Cristina, Boufous, Soufiane, Brady, Oliver J, Bragazzi, Nicola Luigi, Brainin, Michael, Brazinova, Alexandra, Breitborde, Nicholas J K, Brenner, Hermann, Brewer, Jerry D, Briant, Paul Svitil, Britton, Gabrielle, Burstein, Roy, Busse, Reinhard, Butt, Zahid A, Cahuana-Hurtado, Lucero, Campos-Nonato, Ismael R, Campuzano Rincon, Julio Cesar, Cano, Jorge, Car, Mate, Cárdenas, Rosario, Carrero, Juan J, Carvalho, Félix, Castañeda-Orjuela, Carlos A, Castillo Rivas, Jacqueline, Castro, Franz, Catalá-López, Ferrán, Çavlin, Alanur, Cerin, Ester, Chalek, Julian, Chang, Hsing-Yi, Chang, Jung-Chen, Chattopadhyay, Aparajita, Chaturvedi, Pankaj, Chiang, Peggy Pei-Chia, Chin, Ken Lee, Chisumpa, Vesper Hichilombwe, Chitheer, Abdulaal, Choi, Jee-Young J, Chowdhury, Rajiv, Christopher, Devasahayam J, Cicuttini, Flavia M, Ciobanu, Liliana G, Cirillo, Massimo, Claro, Rafael M, Collado-Mateo, Daniel, Constantin, Maria-Magdalena, Conti, Sara, Cooper, Cyrus, Cooper, Leslie Trumbull, Cornaby, Leslie, Cortesi, Paolo Angelo, Cortinovis, Monica, Costa, Megan, Cromwell, Elizabeth, Crowe, Christopher Stephen, Cukelj, Petra, Cunningham, Matthew, Daba, Alemneh Kabeta, Dachew, Berihun Assefa, Dandona, Lalit, Dandona, Rakhi, Dargan, Paul I, Daryani, Ahmad, Das Gupta, Rajat, Das Neves, José, Dasa, Tamirat Tesfaye, Dash, Aditya Prasad, Weaver, Nicole Davis, Davitoiu, Dragos Virgil, Davletov, Kairat, De Leo, Diego, De Neve, Jan-Walter, Degefa, Meaza Girma, Degenhardt, Louisa, Degfie, Tizta Tilahun, Deiparine, Selina, Demoz, Gebre Teklemariam, Demtsu, Balem, Denova-Gutiérrez, Edgar, Deribe, Kebede, Dervenis, Nikolaos, Des Jarlais, Don C, Dessie, Getenet Ayalew, Dharmaratne, Samath D, Dhimal, Meghnath, Dicker, Daniel, Ding, Eric L, Dinsa, Girmaye Deye, Djalalinia, Shirin, Do, Huyen Phuc, Dokova, Klara, Doku, David Teye, Dolan, Kate A, Doyle, Kerrie E, Driscoll, Tim R, Dubey, Manisha, Dubljanin, Eleonora, Duken, Eyasu Ejeta, Duraes, Andre R, Ebrahimpour, Soheil, Edvardsson, David, El Bcheraoui, Charbel, El-Khatib, Ziad, Elyazar, Iqbal Rf, Enayati, Ahmadali, Endries, Aman Yesuf, Ermakov, Sergey Petrovich, Eshrati, Babak, Eskandarieh, Sharareh, Esmaeili, Reza, Esteghamati, Alireza, Esteghamati, Sadaf, Estep, Kara, Fakhim, Hamed, Farag, Tamer, Faramarzi, Mahbobeh, Fareed, Mohammad, Farinha, Carla Sofia E Sá, Faro, Andre, Farvid, Maryam S, Farzadfar, Farshad, Farzaei, Mohammad Hosein, Fay, Kairsten A, Fazeli, Mir Sohail, Feigin, Valery L, Feigl, Andrea B, Feizy, Fariba, Fenny, Ama P, Fentahun, Netsanet, Fereshtehnejad, Seyed-Mohammad, Fernandes, Eduarda, Feyissa, Garumma Tolu, Filip, Irina, Finegold, Samuel, Fischer, Florian, Flor, Luisa Sorio, Foigt, Nataliya A, Foreman, Kyle J, Fornari, Carla, Fürst, Thomas, Fukumoto, Takeshi, Fuller, John E, Fullman, Nancy, Gakidou, Emmanuela, Gallus, Silvano, Gamkrelidze, Amiran, Ganji, Morsaleh, Gankpe, Fortune Gbetoho, Garcia, Gregory M, Garcia-Gordillo, Miguel Á, Gebre, Abadi Kahsu, Gebre, Teshome, Gebregergs, Gebremedhin Berhe, Gebrehiwot, Tsegaye Tewelde, Gebremedhin, Amanuel Tesfay, Gelano, Tilayie Feto, Gelaw, Yalemzewod Assefa, Geleijnse, Johanna M, Genova-Maleras, Ricard, Gething, Peter, Gezae, Kebede Embaye, Ghadami, Mohammad Rasoul, Ghadimi, Reza, Ghadiri, Keyghobad, Ghasemi Falavarjani, Khalil, Ghasemi-Kasman, Maryam, Ghiasvand, Hesam, Ghimire, Mamata, Ghoshal, Aloke Gopal, Gill, Paramjit Singh, Gill, Tiffany K, Giussani, Giorgia, Gnedovskaya, Elena V, Goli, Srinivas, Gomez, Ricardo Santiago, Gómez-Dantés, Hector, Gona, Philimon N, Goodridge, Amador, Gopalani, Sameer Vali, Goulart, Alessandra C, Goulart, Bárbara Niegia Garcia, Grada, Ayman, Grosso, Giuseppe, Gugnani, Harish Chander C, Guo, Jingwen, Guo, Yuming, Gupta, Prakash C, Gupta, Rahul, Gupta, Rajeev, Gupta, Tanush, Haagsma, Juanita A, Hachinski, Vladimir, Hafezi-Nejad, Nima, Hagos, Tekleberhan B, Hailegiyorgis, Tewodros Tesfa, Hailu, Gessessew Bugssa, Haj-Mirzaian, Arvin, Haj-Mirzaian, Arya, Hamadeh, Randah R, Hamidi, Samer, Handal, Alexis J, Hankey, Graeme J, Hao, Yuantao, Harb, Hilda L, Haririan, Hamidreza, Haro, Josep Maria, Hasan, Mehedi, Hassankhani, Hadi, Hassen, Hamid Yimam, Havmoeller, Rasmus, Hay, Simon I, He, Yihua, Hedayatizadeh-Omran, Akbar, Hegazy, Mohamed I, Heibati, Behzad, Heidari, Behnam, Hendrie, Delia, Henok, Andualem, Henry, Nathaniel J, Herteliu, Claudiu, Heydarpour, Fatemeh, Hibstu, Desalegn T, Hole, Michael K, Homaie Rad, Enayatollah, Hoogar, Praveen, Hosgood, H Dean, Hosseini, Seyed Mostafa, Hosseini Chavoshi, Meimanat M, Hosseinzadeh, Mehdi, Hostiuc, Mihaela, Hostiuc, Sorin, Hsairi, Mohamed, Hsiao, Thomas, Hu, Guoqing, Huang, John J, Iburg, Kim Moesgaard, Igumbor, Ehimario U, Ikeda, Chad Thomas, Ilesanmi, Olayinka Stephen, Iqbal, Usman, Irenso, Asnake Ararsa, Irvani, Seyed Sina Naghibi, Isehunwa, Oluwaseyi Oluwakemi, Islam, Sheikh Mohammed Shariful, Jahangiry, Leila, Jahanmehr, Nader, Jain, Sudhir Kumar, Jakovljevic, Mihajlo, Jalu, Moti Tolera, James, Spencer L, Jassal, Simerjot K, Javanbakht, Mehdi, Jayatilleke, Achala Upendra, Jeemon, Panniyammakal, Jha, Ravi Prakash, Jha, Vivekanand, Ji, John S, Jonas, Jost B, Jozwiak, Jacek Jerzy, Jungari, Suresh Banayya, Jürisson, Mikk, Kabir, Zubair, Kadel, Rajendra, Kahsay, Amaha, Kalani, Rizwan, Kapil, Umesh, Karami, Manoochehr, Matin, Behzad Karami, Karch, André, Karema, Corine, Karimi, Seyed M, Kasaeian, Amir, Kassa, Dessalegn H, Kassa, Getachew Mullu, Kassa, Tesfaye Dessale, Kassa, Zemenu Yohannes, Kassebaum, Nicholas J, Kastor, Anshul, Katikireddi, Srinivasa Vittal, Kaul, Anil, Kawakami, Norito, Karyani, Ali Kazemi, Kebede, Seifu, Keiyoro, Peter Njenga, Kemp, Grant Rodgers, Kengne, Andre Pascal, Keren, Andre, Kereselidze, Maia, Khader, Yousef Saleh, Khafaie, Morteza Abdullatif, Khajavi, Alireza, Khalid, Nauman, Khalil, Ibrahim A, Khan, Ejaz Ahmad, Khan, Muhammad Shahzeb, Khang, Young-Ho, Khanna, Tripti, Khater, Mona M, Khatony, Alireza, Khazaeipour, Zahra, Khazaie, Habibolah, Khoja, Abdullah T, Khosravi, Ardeshir, Khosravi, Mohammad Hossein, Kibret, Getiye D, Kidanemariam, Zelalem Teklemariam, Kiirithio, Daniel N, Kilgore, Paul Evan, Kim, Daniel, Kim, Jun Y, Kim, Young-Eun, Kim, Yun Jin, Kimokoti, Ruth W, Kinfu, Yohannes, Kinra, Sanjay, Kisa, Adnan, Kivimäki, Mika, Kochhar, Sonali, Kokubo, Yoshihiro, Kolola, Tufa, Kopec, Jacek A, Kosek, Margaret N, Kosen, Soewarta, Koul, Parvaiz A, Koyanagi, Ai, Krishan, Kewal, Krishnaswami, Sanjay, Krohn, Kristopher J, Defo, Barthelemy Kuate, Bicer, Burcu Kucuk, Kumar, G Anil, Kumar, Manasi, Kumar, Pushpendra, Kumsa, Fekede Asefa, Kutz, Michael J, Lad, Sheetal D, Lafranconi, Alessandra, Lal, Dharmesh Kumar, Lalloo, Ratilal, Lam, Hilton, Lami, Faris Hasan, Lang, Justin J, Lanksy, Sonia, Lansingh, Van C, Laryea, Dennis Odai, Lassi, Zohra S, Latifi, Arman, Laxmaiah, Avula, Lazarus, Jeffrey V, Lee, James B, Lee, Paul H, Leigh, James, Leshargie, Cheru Tesema, Leta, Samson, Levi, Miriam, Li, Shanshan, Li, Xiaohong, Li, Yichong, Liang, Juan, Liang, Xiaofeng, Liben, Misgan Legesse, Lim, Lee-Ling, Limenih, Miteku Andualem, Linn, Shai, Liu, Shiwei, Lorkowski, Stefan, Lotufo, Paulo A, Lozano, Rafael, Lunevicius, Raimundas, Mabika, Crispin Mabika, Macarayan, Erlyn Rachelle King, Mackay, Mark T, Madotto, Fabiana, Mahmood, Tarek Abd Elaziz, Mahotra, Narayan Bahadur, Majdan, Marek, Majdzadeh, Reza, Majeed, Azeem, Malekzadeh, Reza, Malik, Manzoor Ahmad, Mamun, Abdullah A, Manamo, Wondimu Ayele, Manda, Ana-Laura, Mangalam, Srikanth, Mansournia, Mohammad Ali, Mantovani, Lorenzo Giovanni, Mapoma, Chabila Christopher, Marami, Dadi, Maravilla, Joemer C, Marcenes, Wagner, Marina, Shakhnazarova, Martins-Melo, Francisco Rogerlândio, März, Winfried, Marzan, Melvin B, Mashamba-Thompson, Tivani Phosa, Masiye, Felix, Mason-Jones, Amanda J, Massenburg, Benjamin Ballard, Mathur, Manu Raj, Maulik, Pallab K, Mazidi, Mohsen, McGrath, John J, Mehata, Suresh, Mehendale, Sanjay Madhav, Mehndiratta, Man Mohan, Mehrotra, Ravi, Mehrzadi, Saeed, Mehta, Kala M, Mehta, Varshil, Mekonnen, Tefera C, Meles, Hagazi Gebre, Meles, Kidanu Gebremariam, Melese, Addisu, Melku, Mulugeta, Memiah, Peter T N, Memish, Ziad A, Mendoza, Walter, Mengesha, Melkamu Merid, Mengistu, Desalegn Tadese, Mengistu, Getnet, Mensah, George A, Mereta, Seid Tiku, Meretoja, Atte, Meretoja, Tuomo J, Mestrovic, Tomislav, Mezgebe, Haftay Berhane, Miangotar, Yode, Miazgowski, Bartosz, Miazgowski, Tomasz, Miller, Ted R, Miller-Petrie, Molly Katherine, Mini, G K, Mirabi, Parvaneh, Mirica, Andreea, Mirrakhimov, Erkin M, Misganaw, Awoke Temesgen, Moazen, Babak, Mohammad, Karzan Abdulmuhsin, Mohammadi, Moslem, Mohammadifard, Noushin, Mohammadi-Khanaposhtani, Maryam, Mohammed, Mohammed A, Mohammed, Shafiu, Mokdad, Ali H, Mola, Glen Dl, Molokhia, Mariam, Monasta, Lorenzo, Montañez, Julio Cesar, Moradi, Ghobad, Moradi, Mahmoudreza, Moradi-Lakeh, Maziar, Moradinazar, Mehdi, Moraga, Paula, Morgado-Da-Costa, Joana, Mori, Rintaro, Morrison, Shane Douglas, Mosapour, Abbas, Moschos, Marilita M, Mousavi, Seyyed Meysam, Muche, Achenef Asmamaw, Muchie, Kindie Fentahun, Mueller, Ulrich Otto, Mukhopadhyay, Satinath, Muller, Kate, Murphy, Tasha B, Murthy, G V S, Musa, Jonah, Musa, Kamarul Imran, Mustafa, Ghulam, Muthupandian, Saravanan, Nachega, Jean B, Nagel, Gabriele, Naghavi, Mohsen, Naheed, Aliya, Nahvijou, Azin, Naik, Gurudatta, Naik, Paulami, Najafi, Farid, Naldi, Luigi, Nangia, Vinay, Nansseu, Jobert Richie, Nascimento, Bruno Ramos, Nawaz, Haseeb, Ncama, Busisiwe P, Neamati, Nahid, Negoi, Ionut, Negoi, Ruxandra Irina, Neupane, Subas, Newton, Charles Richard James, Ngalesoni, Frida N, Ngunjiri, Josephine W, Nguyen, Grant, Nguyen, Long Hoang, Nguyen, Trang Huyen, Ningrum, Dina Nur Anggraini, Nirayo, Yirga Legesse, Nisar, Muhammad Imran, Nixon, Molly R, Nomura, Shuhei, Noroozi, Mehdi, Noubiap, Jean Jacques, Nouri, Hamid Reza, Shiadeh, Malihe Nourollahpour, Nowroozi, Mohammad Reza, Nyandwi, Alypio, Nyasulu, Peter S, Odell, Christopher M, Ofori-Asenso, Richard, Ogah, Okechukwu Samuel, Ogbo, Felix Akpojene, Oh, In-Hwan, Okoro, Anselm, Oladimeji, Olanrewaju, Olagunju, Andrew T, Olagunju, Tinuke O, Olivares, Pedro R, Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Ong, Sok King, Ortiz, Alberto, Osgood-Zimmerman, Aaron, Ota, Erika, Otieno, Brenda Achieng, Otstavnov, Stanislav S, Owolabi, Mayowa Ojo, Oyekale, Abayomi Samuel, P A, Mahesh, Pakhale, Smita, Pakhare, Abhijit P, Pana, Adrian, Panda, Basant Kumar, Panda-Jonas, Songhomitra, Pandey, Achyut Raj, Park, Eun-Kee, Parsian, Hadi, Patel, Shanti, Patil, Snehal T, Patle, Ajay, Patton, George C, Paturi, Vishnupriya Rao, Paudel, Deepak, Pedroso, Marcel Moraes, Peprah, Emmanuel K, Pereira, David M, Perico, Norberto, Pesudovs, Konrad, Petri, William A, Petzold, Max, Pierce, Maxwell, Pigott, David M, Pillay, Julian David, Pirsaheb, Meghdad, Polanczyk, Guilherme V, Postma, Maarten J, Pourmalek, Farshad, Pourshams, Akram, Poustchi, Hossein, Prakash, Swayam, Prasad, Narayan, Purcell, Caroline A, Purwar, Manorama B, Qorbani, Mostafa, Quansah, Reginald, Radfar, Amir, Rafay, Anwar, Rafiei, Alireza, Rahim, Fakher, Rahimi-Movaghar, Afarin, Rahimi-Movaghar, Vafa, Rahman, Mahfuzar, Rahman, Md Shafiur, Rahman, Mohammad Hifz Ur, Rahman, Muhammad Aziz, Rahman, Sajjad Ur, Rai, Rajesh Kumar, Rajati, Fatemeh, Rajsic, Sasa, Ram, Usha, Ranabhat, Chhabi Lal, Ranjan, Prabhat, Rawaf, David Laith, Rawaf, Salman, Ray, Sarah E, Razo-García, Christian, Reiner, Robert C, Reis, Cesar, Remuzzi, Giuseppe, Renzaho, Andre M N, Resnikoff, Serge, Rezaei, Satar, Rezaeian, Shahab, Rezai, Mohammad Sadegh, Riahi, Seyed Mohammad, Rios-Blancas, Maria Jesus, Roba, Kedir Teji, Roberts, Nicholas L S, Roever, Leonardo, Ronfani, Luca, Roshandel, Gholamreza, Rostami, Ali, Rubagotti, Enrico, Ruhago, George Mugambage, Sabde, Yogesh Damodar, Sachdev, Perminder S, Saddik, Basema, Saeedi Moghaddam, Sahar, Safari, Hosein, Safari, Yahya, Safari-Faramani, Roya, Safdarian, Mahdi, Safi, Sare, Safiri, Saeid, Sagar, Rajesh, Sahebkar, Amirhossein, Sahraian, Mohammad Ali, Sajadi, Haniye Sadat, Salahshoor, Mohamadreza, Salam, Nasir, Salama, Joseph S, Salamati, Payman, Saldanha, Raphael De Freitas, Saleem, Zikria, Salimi, Yahya, Salimzadeh, Hamideh, Salomon, Joshua A, Salvi, Sundeep Santosh, Salz, Inbal, Sambala, Evanson Zondani, Samy, Abdallah M, Sanabria, Juan, Sanchez-Niño, Maria Dolores, Santos, Itamar S, Santric Milicevic, Milena M, Sao Jose, Bruno Piassi, Sardana, Mayank, Sarker, Abdur Razzaque, Sarmiento-Suárez, Rodrigo, Saroshe, Satish, Sarrafzadegan, Nizal, Sartorius, Benn, Sarvi, Shahabeddin, Sathian, Brijesh, Satpathy, Maheswar, Sawant, Arundhati R, Sawhney, Monika, Saxena, Sonia, Schaeffner, Elke, Schelonka, Kathryn, Schneider, Ione J C, Schwebel, David C, Schwendicke, Falk, Seedat, Soraya, Sekerija, Mario, Sepanlou, Sadaf G, Serván-Mori, Edson, Shabaninejad, Hosein, Shackelford, Katya Anne, Shafieesabet, Azadeh, Shaheen, Amira A, Shaikh, Masood Ali, Shakir, Raad A, Shams-Beyranvand, Mehran, Shamsi, Mohammadbagher, Shamsizadeh, Morteza, Sharafi, Heidar, Sharafi, Kiomars, Sharif, Mehdi, Sharif-Alhoseini, Mahdi, Sharma, Jayendra, Sharma, Rajesh, She, Jun, Sheikh, Aziz, Shi, Peilin, Shibuya, Kenji, Shigematsu, Mika, Shiri, Rahman, Shirkoohi, Reza, Shiue, Ivy, Shokraneh, Farhad, Shukla, Sharvari Rahul, Si, Si, Siabani, Soraya, Sibai, Abla Mehio, Siddiqi, Tariq J, Sigfusdottir, Inga Dora, Sigurvinsdottir, Rannveig, Silpakit, Naris, Silva, Diego Augusto Santos, Silva, João Pedro, Silveira, Dayane Gabriele Alves, Singam, Narayana Sarma Venkata, Singh, Jasvinder A, Singh, Narinder Pal, Singh, Virendra, Sinha, Dhirendra Narain, Sliwa, Karen, Soares Filho, Adauto Martins, Sobaih, Badr Hasan, Sobhani, Soheila, Soofi, Moslem, Soriano, Joan B, Soyiri, Ireneous N, Sreeramareddy, Chandrashekhar T, Starodubov, Vladimir I, Steiner, Caitlyn, Stewart, Leo G, Stokes, Mark A, Strong, Mark, Subart, Michelle L, Sufiyan, Mu'awiyyah Babale, Sulo, Gerhard, Sunguya, Bruno F, Sur, Patrick John, Sutradhar, Ipsita, Sykes, Bryan L, Sylaja, P N, Sylte, Dillon O, Szoeke, Cassandra E I, Tabarés-Seisdedos, Rafael, Tabb, Karen M, Tadakamadla, Santosh Kumar, Tandon, Nikhil, Tassew, Aberash Abay, Tassew, Segen Gebremeskel, Taveira, Nuno, Tawye, Nega Yimer, Tehrani-Banihashemi, Arash, Tekalign, Tigist Gashaw, Tekle, Merhawi Gebremedhin, Temsah, Mohamad-Hani, Terkawi, Abdullah Sulieman, Teshale, Manaye Yihune, Tessema, Belay, Teweldemedhin, Mebrahtu, Thakur, Jarnail Singh, Thankappan, Kavumpurathu Raman, Thirunavukkarasu, Sathish, Thomas, Nihal, Thomson, Alan J, Tilahun, Binyam, To, Quyen G, Tonelli, Marcello, Topor-Madry, Roman, Torre, Anna E, Tortajada-Girbés, Miguel, Tovani-Palone, Marcos Roberto, Toyoshima, Hideaki, Tran, Bach Xuan, Tran, Khanh Bao, Tripathy, Srikanth Prasad, Truelsen, Thomas Clement, Truong, Nu Thi, Tsadik, Afewerki Gebremeskel, Tsegay, Amanuel, Tsilimparis, Nikolaos, Tudor Car, Lorainne, Ukwaja, Kingsley N, Ullah, Irfan, Usman, Muhammad Shariq, Uthman, Olalekan A, Uzun, Selen Begüm, Vaduganathan, Muthiah, Vaezi, Afsane, Vaidya, Gaurang, Valdez, Pascual R, Varavikova, Elena, Varughese, Santosh, Vasankari, Tommi Juhani, Vasconcelos, Ana Maria Nogales, Venketasubramanian, Narayanaswamy, Villafaina, Santos, Violante, Francesco S, Vladimirov, Sergey Konstantinovitch, Vlassov, Vasily, Vollset, Stein Emil, Vos, Theo, Vosoughi, Kia, Vujcic, Isidora S, Wagnew, Fasil Shiferaw, Waheed, Yasir, Walson, Judd L, Wang, Yanping, Wang, Yuan-Pang, Weiderpass, Elisabete, Weintraub, Robert G, Weldegwergs, Kidu Gidey, Werdecker, Andrea, Westerman, Ronny, Whiteford, Harvey, Widecka, Justyna, Widecka, Katarzyna, Wijeratne, Tissa, Winkler, Andrea Sylvia, Wiysonge, Charles Shey, Wolfe, Charles D A, Wu, Shouling, Wyper, Grant M A, Xu, Gelin, Yamada, Tomohide, Yano, Yuichiro, Yaseri, Mehdi, Yasin, Yasin Jemal, Ye, Pengpeng, Yentür, Gökalp Kadri, Yeshaneh, Alex, Yimer, Ebrahim M, Yip, Paul, Yisma, Engida, Yonemoto, Naohiro, Yoon, Seok-Jun, Yotebieng, Marcel, Younis, Mustafa Z, Yousefifard, Mahmoud, Yu, Chuanhua, Zadnik, Vesna, Zaidi, Zoubida, Zaman, Sojib Bin, Zamani, Mohammad, Zare, Zohreh, Zeleke, Mulugeta Molla, Zenebe, Zerihun Menlkalew, Zerfu, Taddese Alemu, Zhang, Xueying, Zhao, Xiu-Ju, Zhou, Maigeng, Zhu, Jun, Zimsen, Stephanie R M, Zodpey, Sanjay, Zoeckler, Leo, Lopez, Alan D, Lim, Stephen S, Halk Sağlığı, GBD 2017 Population Fertility Coll, Murray, Cjl, Callender, Cskh, Kulikoff, Xr, Srinivasan, V, Abate, D, Abate, Kh, Abay, Sm, Abbasi, N, Abbastabar, H, Abdela, J, Abdelalim, A, Abdel-Rahman, O, Abdi, A, Abdoli, N, Abdollahpour, I, Abdulkader, R, Abebe, Ht, Abebe, M, Abebe, Z, Abebo, Ta, Abejie, An, Aboyans, V, Abraha, Hn, Abreu, Dmx, Abrham, Ar, Abu-Raddad, Lj, Abu-Rmeileh, Nme, Accrombessi, Mmk, Acharya, P, Adamu, Aa, Adebayo, Om, Adedeji, Ia, Adekanmbi, V, Adetokunboh, Oo, Adhena, Bm, Adhikari, Tb, Adib, Mg, Adou, Ak, Adsuar, Jc, Afarideh, M, Afshin, A, 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Vasconcelos, A, Vladimirov, S, Vollset, S, Walson, J, Weintraub, R, Weldegwergs, K, Wolfe, C, Wyper, G, Yasin, Y, Yentür, G, Yimer, E, Yoon, S, Younis, M, Zaman, S, Zeleke, M, Zenebe, Z, Zerfu, T, Zhao, X, Zimsen, S, Lopez, A, and Lim, S
Subjects: Adult, Male, Population Density, GBD, population, fertility, Adolescent, Medicine (all), Infant, Newborn, Infant, 11 Medical And Health Sciences, Middle Aged, Global Health, Global Burden of Disease, Young Adult, Child, Preschool, General & Internal Medicine, Female, Human medicine, Mortality, Child, Population Growth, Birth Rate, Aged, Human, Maternal Age
Abstract: Background Population estimates underpin demographic and epidemiological research and are used to track progress on numerous international indicators of health and development. To date, internationally available estimates of population and fertility, although useful, have not been produced with transparent and replicable methods and do not use standardised estimates of mortality. We present single-calendar year and single-year of age estimates of fertility and population by sex with standardised and replicable methods. Methods We estimated population in 195 locations by single year of age and single calendar year from 1950 to 2017 with standardised and replicable methods. We based the estimates on the demographic balancing equation, with inputs of fertility, mortality, population, and migration data. Fertility data came from 7817 location-years of vital registration data, 429 surveys reporting complete birth histories, and 977 surveys and censuses reporting summary birth histories. We estimated age-specific fertility rates (ASFRs; the annual number of livebirths to women of a specified age group per 1000 women in that age group) by use of spatiotemporal Gaussian process regression and used the ASFRs to estimate total fertility rates (TFRs; the average number of children a woman would bear if she survived through the end of the reproductive age span [age 10-54 years] and experienced at each age a particular set of ASFRs observed in the year of interest). Because of sparse data, fertility at ages 10-14 years and 50-54 years was estimated from data on fertility in women aged 15-19 years and 45-49 years, through use of linear regression. Age-specific mortality data came from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 estimates. Data on population came from 1257 censuses and 761 population registry location-years and were adjusted for underenumeration and age misreporting with standard demographic methods. Migration was estimated with the GBD Bayesian demographic balancing model, after incorporating information about refugee migration into the model prior. Final population estimates used the cohort-cotnponent method of population projection, with inputs of fertility, mortality, and migration data. Population uncertainty was estimated by use of out-of-sample predictive validity testing. With these data, we estimated the trends in population by age and sex and in fertility by age between 1950 and 2017 in 195 countries and territories. Findings From 1950 to 2017, TFRs decreased by 49.4% (95% uncertainty interval [UI] 46.4-52.0). The TFR decreased from 4.7 livebirths (4.5-4.9) to 2.4 livebirths (2.2-2.5), and the ASFR of mothers aged 10-19 years decreased from 37 livebirths (34-40) to 22 livebirths (19-24) per 1000 women. Despite reductions in the TFR, the global population has been increasing by an average of 83.8 million people per year since 1985. The global population increased by 197-2% (193.3-200.8) since 1950, from 2.6 billion (2.5-2.6) to 7.6 billion (7.4-7.9) people in 2017; much of this increase was in the proportion of the global population in south Asia and sub-Saharan Africa. The global annual rate of population growth increased between 1950 and 1964, when it peaked at 2.0%; this rate then remained nearly constant until 1970 and then decreased to 1.1% in 2017. Population growth rates in the southeast Asia, east Asia, and Oceania GBD super-region decreased from 2.5% in 1963 to O7% in 2017, whereas in sub-Saharan Africa, population growth rates were almost at the highest reported levels ever in 2017, when they were at 2.7%. The global average age increased from 26.6 years in 1950 to 32.1 years in 2017, and the proportion of the population that is of working age (age 15-64 years) increased from 59.9% to 65.3%. At the national level, the TFR decreased in all countries and territories between 1950 and 2017; in 2017, TFRs ranged from a low of 1.0 livebirths (95% UI 0. 9-1.2) in Cyprus to a high of 7.1 livebirths (6.8-7.4) in Niger. The TFR under age 25 years (TFU25; number of livebirths expected by age 25 years for a hypothetical woman who survived the age group and was exposed to current ASFRs) in 2017 ranged from 0.08 livebirths (0.07-0.09) in South Korea to 2.4 livebirths (2.2-2.6) in Niger, and the TFR over age 30 years (I F030; number of livebirths expected for a hypothetical woman ageing from 30 to 54 years who survived the age group and was exposed to current ASFRs) ranged from a low of 0.3 livebirths (0.3-0-4) in Puerto Rico to a high of 3.1 livebirths (3.0-3.2) in Niger. TF030 was higher than TFU25 in 145 countries and territories in 2017.33 countries had a negative population growth rate from 2010 to 2017, most of which were located in central, eastern, and western Europe, whereas population growth rates of more than 2.0% were seen in 33 of 46 countries in sub-Saharan Africa. In 2017, less than 65% of the national population was of working age in 12 of 34 high-income countries, and less than 50% of the national population was of working age in Mali, Chad, and Niger. Interpretation Population trends create demographic dividends and headwinds (ie, economic benefits and detriments) that affect national economies and determine national planning needs. Although TFRs are decreasing, the global population continues to grow as mortality declines, with diverse patterns at the national level and across age groups. To our knowledge, this is the first study to provide transparent and replicable estimates of population and fertility, which can be used to inform decision making and to monitor progress. Copyright (C) 2018 The Author(s). Published by Elsevier Ltd.
Published: 2018

25. Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017

Author: James, Spencer L., Abate, Degu, Abate, Kalkidan Hassen, Abay, Solomon M., Abbafati, Cristiana, Abbasi, Nooshin, Abbastabar, Hedayat, Abd-Allah, Foad, Abdela, Jemal, Abdelalim, Ahmed, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abebe, Zegeye, Abera, Semaw F., Abil, Olifan Zewdie, Abraha, Haftom Niguse, Abu-Raddad, Laith Jamal, Abu-Rmeileh, Niveen M. E., Accrombessi, Manfred Mario Kokou, Acharya, Dilaram, Acharya, Pawan, Ackerman, Ilana N., Adamu, Abdu A., Adebayo, Oladimeji M., Adekanmbi, Victor, Adetokunboh, Olatunji O., Adib, Mina G., Adsuar, Jose C., Afanvi, Kossivi Agbelenko, Afarideh, Mohsen, Afshin, Ashkan, Agarwal, Gina, Agesa, Kareha M., Aggarwal, Rakesh, Aghayan, Sargis Aghasi, Agrawal, Sutapa, Ahmadi, Alireza, Ahmadi, Mehdi, Ahmadieh, Hamid, Ahmed, Muktar Beshir, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Akinyemiju, Tomi, Akseer, Nadia, Al-Aly, Ziyad, Al-Eyadhy, Ayman, Al-Mekhlafi, Hesham M., Al-Raddadi, Rajaa M., Alahdab, Fares, Alam, Khurshid, Alam, Tahiya, Alashi, Alaa, Alavian, Seyed Moayed, Alene, Kefyalew Addis, Alijanzadeh, Mehran, Alizadeh-Navaei, Reza, Aljunid, Syed Mohamed, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Alouani, Mohamed M. L., Altirkawi, Khalid, Alvis-Guzman, Nelson, Amare, Azmeraw T., Aminde, Leopold N., Ammar, Walid, Amoako, Yaw Ampem, Anber, Nahla Hamed, Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Anjomshoa, Mina, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T., Anwari, Palwasha, Arabloo, Jalal, Arauz, Antonio, Aremu, Olatunde, Ariani, Filippo, Armoon, Bahroom, Ärnlöv, Johan, Arora, Amit, Artaman, Al, Aryal, Krishna K., Asayesh, Hamid, Asghar, Rana Jawad, Ataro, Zerihun, Atre, Sachin R., Ausloos, Marcel, Avila-Burgos, Leticia, Avokpaho, Euripide F. G. A., Awasthi, Ashish, Ayala Quintanilla, Beatriz Paulina, Ayer, Rakesh, Azzopardi, Peter S., Babazadeh, Arefeh, Badali, Hamid, Badawi, Alaa, Bali, Ayele Geleto, Ballesteros, Katherine E., Ballew, Shoshana H., Banach, Maciej, Banoub, Joseph Adel Mattar, Banstola, Amrit, Barac, Aleksandra, Barboza, Miguel A., Barker-Collo, Suzanne Lyn, Bärnighausen, Till Winfried, Barrero, Lope H., Baune, Bernhard T., Bazargan-Hejazi, Shahrzad, Bedi, Neeraj, Beghi, Ettore, Behzadifar, Masoud, Behzadifar, Meysam, Béjot, Yannick, Belachew, Abate Bekele, Belay, Yihalem Abebe, Bell, Michelle L., Bello, Aminu K., Bensenor, Isabela M., Bernabe, Eduardo, Bernstein, Robert S., Beuran, Mircea, Beyranvand, Tina, Bhala, Neeraj, Bhattarai, Suraj, Bhaumik, Soumyadeep, Bhutta, Zulfiqar A., Biadgo, Belete, Bijani, Ali, Bikbov, Boris, Bilano, Ver, Bililign, Nigus, Bin Sayeed, Muhammad Shahdaat, Bisanzio, Donal, Blacker, Brigette F., Blyth, Fiona M., Bou-Orm, Ibrahim R., Boufous, Soufiane, Bourne, Rupert, Brady, Oliver J., Brainin, Michael, Brant, Luisa C., Brazinova, Alexandra, Breitborde, Nicholas J. 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Marzan, Mb, Mashamba-Thompson, Tp, Massenburg, Bb, Mathur, Mr, Maulik, Pk, Mcgrath, Jj, Mehndiratta, Mm, Mehta, Km, Memiah, Ptn, Memish, Za, Mengistu, Dt, Mensah, Ga, Mereta, St, Meretoja, Tj, Mezerji, Nmg, Millear, Ai, Miller, Tr, Mini, Gk, Mirrakhimov, Em, Misganaw, At, Mitchell, Pb, Mohammad, Ka, Mohammed, Ma, Mokdad, Ah, Morrison, Sd, Moschos, Mm, Mousavi, Sm, Mruts, Kb, Muche, Aa, Muchie, Kf, Mueller, Uo, Mumford, Je, Musa, Ki, Nabhan, Af, Nansseu, Jr, Nascimento, Br, Negoi, Ri, Newton, Crj, Ngunjiri, Jw, Nguyen, Aq, Nguyen, Ht, Nguyen, Hlt, Nguyen, Lh, Nguyen, Nb, Nguyen, Sh, Ningrum, Dna, Nixon, Mr, Norheim, Of, Noubiap, Jj, Nouri, Hr, Nowroozi, Mr, Nsoesie, Eo, Odell, Cm, Ogbo, Fa, Oh, Ih, Olagunju, At, Olagunju, To, Olivares, Pr, Olsen, He, Olusanya, Bo, Ong, Kl, Ong, Sk, Owolabi, Mo, Pakpour, Ah, Park, Ek, Parry, Cdh, Patil, St, Patton, Gc, Paturi, Vr, Paulson, Kr, Pereira, Dm, Pham, Hq, Phillips, Mr, Pigott, Dm, Pillay, Jd, Piradov, Ma, Postma, Mj, Purcell, Ca, Purwar, Mb, 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Sharafi, Kiomar, Sharif, Mehdi, Sharif-Alhoseini, Mahdi, Sharma, Meenakshi, Sharma, Rajesh, She, Jun, Sheikh, Aziz, Shi, Peilin, Shibuya, Kenji, Shigematsu, Mika, Shiri, Rahman, Shirkoohi, Reza, Shishani, Kawkab, Shiue, Ivy, Shokraneh, Farhad, Shoman, Haitham, Shrime, Mark G, Si, Si, Siabani, Soraya, Siddiqi, Tariq J, Sigfusdottir, Inga Dora, Sigurvinsdottir, Rannveig, Silva, João Pedro, Silveira, Dayane Gabriele Alve, Singam, Narayana Sarma Venkata, Singh, Jasvinder A, Singh, Narinder Pal, Singh, Virendra, Sinha, Dhirendra Narain, Skiadaresi, Eirini, Slepak, Erica Leigh N, Sliwa, Karen, Smith, David L, Smith, Mari, Soares Filho, Adauto Martin, Sobaih, Badr Hasan, Sobhani, Soheila, Sobngwi, Eugène, Soneji, Samir S, Soofi, Moslem, Soosaraei, Masoud, Sorensen, Reed J D, Soriano, Joan B, Soyiri, Ireneous N, Sposato, Luciano A, Sreeramareddy, Chandrashekhar T, Srinivasan, Vinay, Stanaway, Jeffrey D, Stein, Dan J, Steiner, Caitlyn, Steiner, Timothy J, Stokes, Mark A, Stovner, Lars Jacob, 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Mehdi, Yasin, Yasin Jemal, Yeshaneh, Alex, Yimer, Ebrahim M, Yip, Paul, Yisma, Engida, Yonemoto, Naohiro, Yoon, Seok-Jun, Yotebieng, Marcel, Younis, Mustafa Z, Yousefifard, Mahmoud, Yu, Chuanhua, Zadnik, Vesna, Zaidi, Zoubida, Zaman, Sojib Bin, Zamani, Mohammad, Zare, Zohreh, Zeleke, Ayalew Jejaw, Zenebe, Zerihun Menlkalew, Zhang, Kai, Zhao, Zheng, Zhou, Maigeng, Zodpey, Sanjay, Zucker, Inbar, Vos, Theo, and Murray, Christopher J L
Subjects: YLDs, global burden of disease, General & Internal Medicine, Medicine (all), prevalence, incidence, Human medicine, global burden of disease, YLDs, incidence, prevalence, GBD, years lived with disability
Abstract: Background The Global Burden of Diseases, Injuries, and Risk Factors Study 2017 (GBD 2017) includes a comprehensive assessment of incidence, prevalence, and years lived with disability (YLDs) for 354 causes in 195 countries and territories from 1990 to 2017. Previous GBD studies have shown how the decline of mortality rates from 1990 to 2016 has led to an increase in life expectancy, an ageing global population, and an expansion of the non-fatal burden of disease and injury. These studies have also shown how a substantial portion of the world's population experiences non-fatal health loss with considerable heterogeneity among different causes, locations, ages, and sexes. Ongoing objectives of the GBD study include increasing the level of estimation detail, improving analytical strategies, and increasing the amount of high-quality data. Methods We estimated incidence and prevalence for 354 diseases and injuries and 3484 sequelae. We used an updated and extensive body of literature studies, survey data, surveillance data, inpatient admission records, outpatient visit records, and health insurance claims, and additionally used results from cause of death models to inform estimates using a total of 68 781 data sources. Newly available clinical data from India, Iran, Japan, Jordan, Nepal, China, Brazil, Norway, and Italy were incorporated, as well as updated claims data from the USA and new claims data from Taiwan (province of China) and Singapore. We used DisMod-MR 2.1, a Bayesian meta-regression tool, as the main method of estimation, ensuring consistency between rates of incidence, prevalence, remission, and cause of death for each condition. YLDs were estimated as the product of a prevalence estimate and a disability weight for health states of each mutually exclusive sequela, adjusted for comorbidity. We updated the Socio-demographic Index (SDI), a summary development indicator of income per capita, years of schooling, and total fertility rate. Additionally, we calculated differences between male and female YLDs to identify divergent trends across sexes. GBD 2017 complies with the Guidelines for Accurate and Transparent Health Estimates Reporting. Findings Globally, for females, the causes with the greatest age-standardised prevalence were oral disorders, headache disorders, and haemoglobinopathies and haemolytic anaemias in both 1990 and 2017. For males, the causes with the greatest age-standardised prevalence were oral disorders, headache disorders, and tuberculosis including latent tuberculosis infection in both 1990 and 2017. In terms of YLDs, low back pain, headache disorders, and dietary iron deficiency were the leading Level 3 causes of YLD counts in 1990, whereas low back pain, headache disorders, and depressive disorders were the leading causes in 2017 for both sexes combined. All-cause age-standardised YLD rates decreased by 39% (95% uncertainty interval [UI] 3.1-4. 6) from 1990 to 2017; however, the all-age YLD rate increased by 7.2% (6.0-8.4) while the total sum of global YLDs increased from 562 million (421-723) to 853 million (642-1100). The increases for males and females were similar, with increases in all-age YLD rates of 7.9% (6 6-9. 2) for males and 6.5% (5.4-7.7) for females. We found significant differences between males and females in terms of age-standardised prevalence estimates for multiple causes. The causes with the greatest relative differences between sexes in 2017 included substance use disorders (3018 cases [95% UI 2782-3252] per 100 000 in males vs 1400 [1279-1524] per 100 000 in females), transport injuries (3322 [3082-3583] vs 2336 [2154-2535]), and self-hatin and interpersonal violence (3265 [2943-3630] vs 5643 [5057-6302]). Interpretation Global all-cause age-standardised YLD rates have improved only slightly over a period spanning nearly three decades. However, the magnitude of the non-fatal disease burden has expanded globally, with increasing numbers of people who have a wide spectrum of conditions. A subset of conditions has remained globally pervasive since 1990, whereas other conditions have displayed more dynamic trends, with different ages, sexes, and geographies across the globe experiencing varying burdens and trends of health loss. This study emphasises how global improvements in premature mortality for select conditions have led to older populations with complex and potentially expensive diseases, yet also highlights global achievements in certain domains of disease and injury. Copyright (C) 2018 The Author(s). Published by Elsevier Ltd.
Published: 2018

26. Measuring performance on the Healthcare Access and Quality Index for 195 countries and territories and selected subnational locations: a systematic analysis from the Global Burden of Disease Study 2016

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Sd, Aljunid, Sm, Alomari, Ma, Altirkawi, Ka, Amare, At, Amoako, Ya, Andrei, Cl, Antonio, Cat, Araújo, Vem, Aryal, Kk, Asfaw, Et, Asgedom, Sw, Asghar, Rj, Ashebir, Mm, Asseffa, Na, Atey, Tm, Atre, Sr, Avokpaho, Efga, Ayala Quintanilla, Bp, Ayalew, Aa, Ayele, Ht, Ayuk, Tb, Babalola, Tk, Barber, Rm, Barboza, Ma, Barker-Collo, Sl, Barrero, Lh, Baune, Bt, Bekele, Bb, Belachew, Ab, Belay, Sa, Belay, Ya, Bell, Ml, Bello, Ak, Bennett, Da, Bennett, Jr, Bensenor, Im, Berhe, Df, Bhutta, Za, Bolliger, Iw, Bou-Orm, Ir, Brady, Oj, Breitborde, Njk, Butt, Za, Campos-Nonato, Ir, Campuzano, Jc, Carrero, Jj, Castañeda-Orjuela, Ca, Chang, Hy, Chang, Jc, Chiang, Pp, Chisumpa, Vh, Choi, Jj, Christopher, Dj, Chung, Sc, Ciobanu, Lg, Cortesi, Pa, Criqui, Mh, Cromwell, Ea, Crump, Ja, Daba, Ak, Dachew, Ba, Dadi, Af, Dargan, Pi, Das, Sk, De Neve, Jw, Dellavalle, Rp, Des Jarlais, Dc, Dharmaratne, Sd, Doku, Dt, Dorsey, Er, Dos Santos, Kpb, Doyle, Ke, Driscoll, Tr, Duncan, Bb, Ehrlich, Jr, El-Khatib, Zz, Endries, Ay, Faraon, Eja, Feigin, Vl, Feigl, Ab, Fereshtehnejad, Sm, Fernandes, Jc, Fijabi, Do, Flaxman, Ad, Foreman, Kj, Frostad, Jj, Futran, Nd, Gebre, Ak, Gebrehiwot, Tt, Gebremedhin, At, Gelaw, Ya, Geleijnse, Jm, Gething, Pw, Giref, Az, Gishu, Md, Godwin, Ww, Gona, Pn, Gopalani, Sv, Goulart, Ac, Gugnani, Hc, Haagsma, Ja, Hailu, Gb, Hamadeh, Rr, Hankey, Gj, Harb, Hl, Harewood, Hc, Haro, Jm, Hassen, Hy, Hay, Si, Hearps, Sjc, Hegazy, Mi, Henry, Nj, Herrera Ballesteros, Vh, Hibstu, Dt, Hiluf, Mk, Hoek, Hw, Hosgood, Hd, Hosseini, Sr, Hoy, Dg, Huang, Jj, Iburg, Km, Igumbor, Eu, Ileanu, Bv, Irvani, Ssn, Irvine, Cm, Jacobs, Ta, Jacobsen, Kh, Jain, Sk, Jakovljevic, Mb, Jalu, Mt, Jamal, Aa, Jayatilleke, Au, Jha, Rp, Johnson, Sc, Jonas, Jb, Karema, Ck, Karimi, Sm, Kassa, Dh, Kassa, Gm, Kassa, Td, Kassebaum, Nj, Katikireddi, Sv, Keiyoro, Pn, Kemp, Gr, Kengne, Ap, Ketema, Eb, Khafaie, Ma, Khalil, Ia, Khan, Ea, Khan, Mn, Khan, Ma, Khanal, Mn, Khang, Yh, Khater, Mm, Khoja, Ata, Kibret, Gd, Kiirithio, Dn, Kim, Yj, Kimokoti, Rw, Kopec, Ja, Koul, Pa, Krohn, Kj, Kumar, Ga, Kyu, Hh, Lad, Dp, Lal, Dk, Lang, Jj, Lansingh, Vc, Lazarus, Jv, Leasher, Jl, Lee, Ph, Leshargie, Ct, Liben, Ml, Lim, Ll, Lopez, Ad, Lorch, Sa, Lotufo, Pa, Lucas, Tcd, Lyons, Ra, Macarayan, Erk, Mackay, Mt, Maddison, Er, Malta, Dc, Mamun, Aa, Mansournia, Ma, Mantovani, Lg, Mapoma, Cc, Martins, Sco, Martins-Melo, Fr, Massenburg, Bb, Mathur, Mr, Maulik, Pk, Mcgrath, Jj, Mehta, Km, Meles, Kg, Memish, Za, Mengiste, Da, Mengistu, Dt, Menota, Bg, Mensah, Ga, Meretoja, Tj, Mezgebe, Hb, Miller, Tr, Mini, Gk, Mirrakhimov, Em, Mitchell, Pb, Mlashu, Fw, Mohammad, Ka, Mohammed, Ma, Mokdad, Ah, Mola, Gl, Montañez Hernandez, Jc, Morrison, Sd, Mousavi, Sm, Mueller, Uo, Murthy, Gv, Musa, Ki, Naik, Ga, Nansseu, Jrn, Narayan, Kv, Nascimento, Br, Negoi, Ri, Newton, Cr, Ngunjiri, Jw, Nguyen, Th, Ningrum, Dna, Nong, Vm, Norheim, Of, Noubiap, Jjn, Obermeyer, Cm, Ogbo, Fa, Oh, Ih, Olagunju, At, Olagunju, To, Olivares, Pr, Oliveira, Ppv, Olsen, 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Sposato, La, Sreeramareddy, Ct, Stanaway, Jd, Stein, Dj, Stokes, Ma, Sufiyan, Mb, Suliankatchi, Ra, Sunguya, Bf, Sur, Pj, Sykes, Bl, Sylaja, Pn, Tadakamadla, Sk, Tadesse, Ah, Taffere, Gr, Tariku, At, Temsah, Mh, Tesema, Ag, Tesfaye, Dj, Thompson, Mj, To, Qg, Tran, Bx, Tran, Kb, Tripathy, Sp, Tuem, Kb, Ukwaja, Kn, Uthman, Oa, Uzochukwu, Bsc, Valdez, Pr, van Boven, Jfm, Vladimirov, Sk, Vlassov, Vv, Vollset, Se, Wallin, Mt, Walson, Jl, Wang, Yp, Wassie, Mm, Weaver, Mr, Weintraub, Rg, Weldegwergs, Kg, West, Te, White, Rg, Whiteford, Ha, Wolfe, Cd, Wondimkun, Ya, Wyper, Gma, Yan, Ll, Yimer, Nb, Yirsaw, Bd, Yoon, Sj, Younis, Mz, Zaki, Me, Zaman, Sb, Zenebe, Zm, Zimsen, Srm, Zuhlke, Lj, Murray, Cjl, and Lozano, R.
Subjects: Peformance, Coverage, Dánartíðni, Lífslíkur, Life expectancy, GBD, Background A key component of achieving universal health coverage is ensuring that all populations have access to quality health care. Examining where gains have occurred or progress has faltered across and within countries is crucial to guiding decisions and strategies for future improvement. We used the Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) to assess personal health-care access and quality with the Healthcare Access and Quality (HAQ) Index for 195 countries and territories, as well as subnational locations in seven countries, from 1990 to 2016. Methods Drawing from established methods and updated estimates from GBD 2016, we used 32 causes from which death should not occur in the presence of effective care to approximate personal health-care access and quality by location and over time. To better isolate potential effects of personal health-care access and quality from underlying risk factor patterns, we risk-standardised cause-specific deaths due to non-cancers by location-year, replacing the local joint exposure of environmental and behavioural risks with the global level of exposure. Supported by the expansion of cancer registry data in GBD 2016, we used mortality-to-incidence ratios for cancers instead of risk-standardised death rates to provide a stronger signal of the effects of personal health care and access on cancer survival. We transformed each cause to a scale of 0–100, with 0 as the first percentile (worst) observed between 1990 and 2016, and 100 as the 99th percentile (best), universal health coverage, Article, access quality health care, health care access and quality index, Nations, Healthcare Acce, Cause-specific mortality, Psychology, Healthcare Access and Quality Index, Mælitæki, States, Medicine (all), Health care, Þjóðir, Public Health, Global Health, Social Medicine and Epidemiology, Quality, Heilbrigðisþjónusta, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, Sálfræði, Indicator, Amenable mortality, Transition, we set these thresholds at the country level, and then applied them to subnational locations. We applied a principal components analysis to construct the HAQ Index using all scaled cause values, providing an overall score of 0–100 of personal health-care access and quality by location over time. We then compared HAQ Index levels and trends by quintiles on the Socio-demographic Index (SDI), a summary measure of overall development. As derived from the broader GBD study and other data sources, we examined relationships between national HAQ Index scores and potential correlates of performance, such as total health spending per capita. Findings In 2016, HAQ Index performance spanned from a high of 97·1 (95% UI 95·8–98·1) in Iceland, followed by 96·6 (94·9–97·9) in Norway and 96·1 (94·5–97·3) in the Netherlands, to values as low as 18·6 (13·1–24·4) in the Central African Republic, 19·0 (14·3–23·7) in Somalia, and 23·4 (20·2–26·8) in Guinea-Bissau. The pace of progress achieved between 1990 and 2016 varied, with markedly faster improvements occurring between 2000 and 2016 for many countries in sub-Saharan Africa and southeast Asia, whereas several countries in Latin America and elsewhere saw progress stagnate after experiencing considerable advances in the HAQ Index between 1990 and 2000. Striking subnational disparities emerged in personal health-care access and quality, with China and India having particularly large gaps between locations with the highest and lowest scores in 2016. In China, performance ranged from 91·5 (89·1–93·6) in Beijing to 48·0 (43·4–53·2) in Tibet (a 43·5-point difference), while India saw a 30·8-point disparity, from 64·8 (59·6–68·8) in Goa to 34·0 (30·3–38·1) in Assam. Japan recorded the smallest range in subnational HAQ performance in 2016 (a 4·8-point difference), whereas differences between subnational locations with the highest and lowest HAQ Index values were more than two times as high for the USA and three times as high for England. State-level gaps in the HAQ Index in Mexico somewhat narrowed from 1990 to 2016 (from a 20·9-point to 17·0-point difference), whereas in Brazil, disparities slightly increased across states during this time (a 17·2-point to 20·4-point difference). Performance on the HAQ Index showed strong linkages to overall development, with high and high-middle SDI countries generally having higher scores and faster gains for non-communicable diseases. Nonetheless, countries across the development spectrum saw substantial gains in some key health service areas from 2000 to 2016, most notably vaccine-preventable diseases. Overall, national performance on the HAQ Index was positively associated with higher levels of total health spending per capita, as well as health systems inputs, but these relationships were quite heterogeneous, particularly among low-to-middle SDI countries. Interpretation GBD 2016 provides a more detailed understanding of past success and current challenges in improving personal health-care access and quality worldwide. Despite substantial gains since 2000, many low-SDI and middle-SDI countries face considerable challenges unless heightened policy action and investments focus on advancing access to and quality of health care across key health services, especially non-communicable diseases. Stagnating or minimal improvements experienced by several low-middle to high-middle SDI countries could reflect the complexities of re-orienting both primary and secondary health-care services beyond the more limited foci of the Millennium Development Goals. Alongside initiatives to strengthen public health programmes, the pursuit of universal health coverage hinges upon improving both access and quality worldwide, and thus requires adopting a more comprehensive view—and subsequent provision—of quality health care for all populations, Trends, Inequalities
Abstract: Background A key component of achieving universal health coverage is ensuring that all populations have access to quality health care. Examining where gains have occurred or progress has faltered across and within countries is crucial to guiding decisions and strategies for future improvement. We used the Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) to assess personal health-care access and quality with the Healthcare Access and Quality (HAQ) Index for 195 countries and territories, as well as subnational locations in seven countries, from 1990 to 2016. Methods Drawing from established methods and updated estimates from GBD 2016, we used 32 causes from which death should not occur in the presence of effective care to approximate personal health-care access and quality by location and over time. To better isolate potential effects of personal health-care access and quality from underlying risk factor patterns, we risk-standardised cause-specific deaths due to non-cancers by location-year, replacing the local joint exposure of environmental and behavioural risks with the global level of exposure. Supported by the expansion of cancer registry data in GBD 2016, we used mortality-to-incidence ratios for cancers instead of risk-standardised death rates to provide a stronger signal of the effects of personal health care and access on cancer survival. We transformed each cause to a scale of 0-100, with 0 as the first percentile (worst) observed between 1990 and 2016, and 100 as the 99th percentile (best); we set these thresholds at the country level, and then applied them to subnational locations. We applied a principal components analysis to construct the HAQ Index using all scaled cause values, providing an overall score of 0-100 of personal health-care access and quality by location over time. We then compared HAQ Index levels and trends by quintiles on the Socio-demographic Index (SDI), a summary measure of overall development. As derived from the broader GBD study and other data sources, we examined relationships between national HAQ Index scores and potential correlates of performance, such as total health spending per capita. Findings In 2016, HAQ Index performance spanned from a high of 97.1 (95% UI 95.8-98.1) in Iceland, followed by 96.6 (94.9-97.9) in Norway and 96.1 (94.5-97.3) in the Netherlands, to values as low as 18.6 (13.1-24.4) in the Central African Republic, 19.0 (14.3-23.7) in Somalia, and 23.4 (20.2-26.8) in Guinea-Bissau. The pace of progress achieved between 1990 and 2016 varied, with markedly faster improvements occurring between 2000 and 2016 for many countries in sub-Saharan Africa and southeast Asia, whereas several countries in Latin America and elsewhere saw progress stagnate after experiencing considerable advances in the HAQ Index between 1990 and 2000. Striking subnational disparities emerged in personal health-care access and quality, with China and India having particularly large gaps between locations with the highest and lowest scores in 2016. In China, performance ranged from 91.5 (89.1-936) in Beijing to 48.0 (43.4-53.2) in Tibet (a 43.5-point difference), while India saw a 30.8-point disparity, from 64.8 (59.6-68.8) in Goa to 34.0 (30.3-38.1) in Assam. Japan recorded the smallest range in subnational HAQ performance in 2016 (a 4.8-point difference), whereas differences between subnational locations with the highest and lowest HAQ Index values were more than two times as high for the USA and three times as high for England. State-level gaps in the HAQ Index in Mexico somewhat narrowed from 1990 to 2016 (from a 20.9-point to 17.0-point difference), whereas in Brazil, disparities slightly increased across states during this time (a 17.2-point to 20.4-point difference). Performance on the HAQ Index showed strong linkages to overall development, with high and high-middle SDI countries generally having higher scores and faster gains for non-communicable diseases. Nonetheless, countries across the development spectrum saw substantial gains in some key health service areas from 2000 to 2016, most notably vaccine-preventable diseases. Overall, national performance on the HAQ Index was positively associated with higher levels of total health spending per capita, as well as health systems inputs, but these relationships were quite heterogeneous, particularly among low-to-middle SDI countries. Interpretation GBD 2016 provides a more detailed understanding of past success and current challenges in improving personal health-care access and quality worldwide. Despite substantial gains since 2000, many low-SDI and middle-SDI countries face considerable challenges unless heightened policy action and investments focus on advancing access to and quality of health care across key health services, especially non-communicable diseases. Stagnating or minimal improvements experienced by several low-middle to high-middle SDI countries could reflect the complexities of re-orienting both primary and secondary health-care services beyond the more limited foci of the Millennium Development Goals. Alongside initiatives to strengthen public health programmes, the pursuit of universal health coverage upon improving both access and quality worldwide, and thus requires adopting a more comprehensive view and subsequent provision of quality health care for all populations., Bill & Melinda Gates Foundation. Barbora de Courten is supported by a National Heart Foundation Future Leader Fellowship (100864). Ai Koyanagi’s work is supported by the Miguel Servet contract financed by the CP13/00150 and PI15/00862 projects, integrated into the National R + D + I and funded by the ISCIII —General Branch Evaluation and Promotion of Health Research—and the European Regional Development Fund (ERDF-FEDER). Alberto Ortiz was supported by Spanish Government (Instituto de Salud Carlos III RETIC REDINREN RD16/0019 FEDER funds). Ashish Awasthi acknowledges funding support from Department of Science and Technology, Government of India through INSPIRE Faculty scheme Boris Bikbov has received funding from the European Union’s Horizon 2020 research and innovation programme under Marie Sklodowska-Curie grant agreement No. 703226. Boris Bikbov acknowledges that work related to this paper has been done on the behalf of the GBD Genitourinary Disease Expert Group. Panniyammakal Jeemon acknowledges support from the clinical and public health intermediate fellowship from the Wellcome Trust and Department of Biotechnology, India Alliance (2015–20). Job F M van Boven was supported by the Department of Clinical Pharmacy & Pharmacology of the University Medical Center Groningen, University of Groningen, Netherlands. Olanrewaju Oladimeji is an African Research Fellow hosted by Human Sciences Research Council (HSRC), South Africa and he also has honorary affiliations with Walter Sisulu University (WSU), Eastern Cape, South Africa and School of Public Health, University of Namibia (UNAM), Namibia. He is indeed grateful for support from HSRC, WSU and UNAM. EUI is supported in part by the South African National Research Foundation (NRF UID: 86003). Ulrich Mueller acknowledges funding by the German National Cohort Study grant No 01ER1511/D, Gabrielle B Britton is supported by Secretaría Nacional de Ciencia, Tecnología e Innovación and Sistema Nacional de Investigación de Panamá. Giuseppe Remuzzi acknowledges that the work related to this paper has been done on behalf of the GBD Genitourinary Disease Expert Group. Behzad Heibati would like to acknowledge Air pollution Research Center, Iran University of Medical Sciences (IUMS), Tehran, Iran. Syed Aljunid acknowledges the National University of Malaysia for providing the approval to participate in this GBD Project. Azeem Majeed and Imperial College London are grateful for support from the Northwest London National Insititute of Health Research (NIHR) Collaboration for Leadership in Applied Health Research & Care. Tambe Ayuk acknowledges the Institute of Medical Research and Medicinal Plant Studies for office space provided. José das Neves was supported in his contribution to this work by a Fellowship from Fundação para a Ciência e a Tecnologia, Portugal (SFRH/BPD/92934/2013). João Fernandes gratefully acknowledges funding from FCT–Fundação para a Ciência e a Tecnologia (grant number UID/Multi/50016/2013). Jan-Walter De Neve was supported by the Alexander von Humboldt Foundation. Kebede Deribe is funded by a Wellcome Trust Intermediate Fellowship in Public Health and Tropical Medicine (201900). Kazem Rahimi was supported by grants from the Oxford Martin School, the NIHR Oxford BRC and the RCUK Global Challenges Research Fund. Laith J Abu-Raddad acknowledges the support of Qatar National Research Fund (NPRP 9-040-3-008) who provided the main funding for generating the data provided to the GBD-IHME effort. Liesl Zuhlke is funded by the national research foundation of South Africa and the Medical Research Council of South Africa. Monica Cortinovis acknowledges that work related to this paper has been done on the behalf of the GBD Genitourinary Disease Expert Group. Chuanhua Yu acknowleges support from the National Natural Science Foundation of China (grant number 81773552 and grant number 81273179) Norberto Perico acknowledges that work related to this paper has been done on behalf of the GBD Genitourinary Disease Expert Group. Charles Shey Wiysonge’s work is supported by the South African Medical Research Council and the National Research Foundation of South Africa (grant numbers 106035 and 108571). John J McGrath is supported by grant APP1056929 from the John Cade Fellowship from the National Health and Medical Research Council and the Danish National Research Foundation (Niels Bohr Professorship). Quique Bassat is an ICREA (Catalan Institution for Research and Advanced Studies) research professor at ISGlobal. Richard G White is funded by the UK MRC and the UK Department for International Development (DFID) under the MRC/DFID Concordat agreement that is also part of the EDCTP2 programme supported by the European Union (MR/P002404/1), the Bill & Melinda Gates Foundation (TB Modelling and Analysis Consortium: OPP1084276/OPP1135288, CORTIS: OPP1137034/OPP1151915, Vaccines: OPP1160830), and UNITAID (4214-LSHTM-Sept15; PO 8477-0-600). Rafael Tabarés-Seisdedos was supported in part by grant number PROMETEOII/2015/021 from Generalitat Valenciana and the national grant PI17/00719 from ISCIII-FEDER. Mihajlo Jakovljevic acknowleges contribution from the Serbian Ministry of Education Science and Technological Development of the Republic of Serbia (grant OI 175 014). Shariful Islam is funded by a Senior Fellowship from Institute for Physical Activity and Nutrition, Deakin University and received career transition grants from High Blood Pressure Research Council of Australia. Sonia Saxena is funded by various grants from the NIHR. Stefanos Tyrovolas was supported by the Foundation for Education and European Culture, the Sara Borrell postdoctoral program (reference number CD15/00019 from the Instituto de Salud Carlos III (ISCIII–Spain) and the Fondos Europeo de Desarrollo Regional. Stefanos was awarded with a 6 months visiting fellowship funding at IHME from M-AES (reference no. MV16/00035 from the Instituto de Salud Carlos III). S Vittal Katikreddi was funded by a NHS Research Scotland Senior Clinical Fellowship (SCAF/15/02), the MRC (MC_UU_12017/13 & MC_ UU_12017/15) and the Scottish Government Chief Scientist Office (SPHSU13 & SPHSU15). Traolach S Brugha has received funding from NHS Digital UK to collect data used in this study. The work of Hamid Badali was financially supported by Mazandaran University of Medical Sciences, Sari, Iran. The work of Stefan Lorkowski is funded by the German Federal Ministry of Education and Research (nutriCARD, Grant agreement number 01EA1411A). Mariam Molokhia’s research was supported by the National Institute for Health Research (NIHR) Biomedical Research Centre at Guy’s and St Thomas’ NHS Foundation Trust and King’s College London. The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health. We also thank the countless individuals who have contributed to GBD 2016 in various capacities.
Published: 2018

27. Global, regional, and national age-sex-specific mortality and life expectancy, 1950–2017: a systematic analysis for the Global Burden of Disease Study 2017

Author: Dicker, Daniel, Nguyen, Grant, Abate, Degu, Abate, Kalkidan Hassen, Abay, Solomon M, Abbafati, Cristiana, Abbasi, Nooshin, Abbastabar, Hedayat, Abd-Allah, Foad, Abdela, Jemal, Abdelalim, Ahmed, Abdel-Rahman, Omar, Abdi, Alireza, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abdurahman, Ahmed Abdulahi, Abebe, Haftom Temesgen, Abebe, Molla, Abebe, Zegeye, Abebo, Teshome Abuka, Aboyans, Victor, Abraha, Haftom Niguse, Abrham, Aklilu Roba, Abu-Raddad, Laith Jamal, Abu-Rmeileh, Niveen ME, Accrombessi, Manfred Mario Kokou, Acharya, Pawan, Adebayo, Oladimeji M, Adedeji, Isaac Akinkunmi, Adedoyin, Rufus Adesoji, Adekanmbi, Victor, Adetokunboh, Olatunji O, Adhena, Beyene Meressa, Adhikari, Tara Ballav, Adib, Mina G, Adou, Arsène Kouablan, Adsuar, Jose C, Afarideh, Mohsen, Afshin, Ashkan, Agarwal, Gina, Aggarwal, Rakesh, Aghayan, Sargis Aghasi, Agrawal, Sutapa, Agrawal, Anurag, Ahmadi, Mehdi, Ahmadi, Alireza, Ahmadieh, Hamid, Ahmed, Mohamed Lemine Cheikh brahim, Ahmed, Sayem, Ahmed, Muktar Beshir, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Akanda, Ali S, Akbari, Mohammad Esmaeil, Akibu, Mohammed, Akinyemi, Rufus Olusola, Akinyemiju, Tomi, Akseer, Nadia, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alebel, Animut, Aleman, Alicia V, Alene, Kefyalew Addis, Al-Eyadhy, Ayman, Ali, Raghib, Alijanzadeh, Mehran, Alizadeh-Navaei, Reza, Aljunid, Syed Mohamed, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Allen, Christine A, Alonso, Jordi, Al-Raddadi, Rajaa M, Alsharif, Ubai, Altirkawi, Khalid, Alvis-Guzman, Nelson, Amare, Azmeraw T, Amini, Erfan, Ammar, Walid, Amoako, Yaw Ampem, Anber, Nahla Hamed, Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Anjomshoa, Mina, Anlay, Degefaye Zelalem, Ansari, Hossein, Ansariadi, Ansariadi, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, Appiah, Seth Christopher Yaw, Aremu, Olatunde, Areri, Habtamu Abera, Ärnlöv, Johan, Arora, Megha, Artaman, Al, Aryal, Krishna K, Asadi-Lari, Mohsen, Asayesh, Hamid, Asfaw, Ephrem Tsegay, Asgedom, Solomon Weldegebreal, Assadi, Reza, Ataro, Zerihun, Atey, Tesfay Mehari Mehari, Athari, Seyyed Shamsadin, Atique, Suleman, Atre, Sachin R, Atteraya, Madhu Sudhan, Attia, Engi F, Ausloos, Marcel, Avila-Burgos, Leticia, Avokpaho, Euripide F G A, Awasthi, Ashish, Awuah, Baffour, Ayala Quintanilla, Beatriz Paulina, Ayele, Henok Tadesse, Ayele, Yohanes, Ayer, Rakesh, Ayuk, Tambe B, Azzopardi, Peter S, Azzopardi-Muscat, Natasha, Badali, Hamid, Badawi, Alaa, Balakrishnan, Kalpana, Bali, Ayele Geleto, Banach, Maciej, Banstola, Amrit, Barac, Aleksandra, Barboza, Miguel A, Barquera, Simon, Barrero, Lope H, Basaleem, Huda, Bassat, Quique, Basu, Arindam, Basu, Sanjay, Baune, Bernhard T, Bazargan-Hejazi, Shahrzad, Bedi, Neeraj, Beghi, Ettore, Behzadifar, Masoud, Behzadifar, Meysam, Béjot, Yannick, Bekele, Bayu Begashaw, Belachew, Abate Bekele, Belay, Aregawi Gebreyesus, Belay, Ezra, Belay, Saba Abraham, Belay, Yihalem Abebe, Bell, Michelle L, Bello, Aminu K, Bennett, Derrick A, Bensenor, Isabela M, Berhane, Adugnaw, Berman, Adam E, Bernabe, Eduardo, Bernstein, Robert S, Bertolacci, Gregory J, Beuran, Mircea, Beyranvand, Tina, Bhala, Neeraj, Bhatia, Eesh, Bhatt, Samir, Bhattarai, Suraj, Bhaumik, Soumyadeeep, Bhutta, Zulfiqar A, Biadgo, Belete, Bijani, Ali, Bikbov, Boris, Bililign, Nigus, Bin Sayeed, Muhammad Shahdaat, Birlik, Sait Mentes, Birungi, Charles, Bisanzio, Donal, Biswas, Tuhin, Bjørge, Tone, Bleyer, Archie, Basara, Berrak Bora, Bose, Dipan, Bosetti, Cristina, Boufous, Soufiane, Bourne, Rupert, Brady, Oliver J, Bragazzi, Nicola Luigi, Brant, Luisa C, Brazinova, Alexandra, Breitborde, Nicholas J K, Brenner, Hermann, Britton, Gabrielle, Brugha, Traolach, Burke, Kristin E, Busse, Reinhard, Butt, Zahid A, Cahuana-Hurtado, Lucero, Callender, Charlton S K H, Campos-Nonato, Ismael R, Campuzano Rincon, Julio Cesar, Cano, Jorge, Car, Mate, Cárdenas, Rosario, Carreras, Giulia, Carrero, Juan J, Carter, Austin, Carvalho, Félix, Castañeda-Orjuela, Carlos A, Castillo Rivas, Jacqueline, Castro, Franz, Catalá-López, Ferrán, Çavlin, Alanur, Cerin, Ester, Chaiah, Yazan, Champs, Ana Paula, Chang, Hsing-Yi, Chang, Jung-Chen, Chattopadhyay, Aparajita, Chaturvedi, Pankaj, Chen, Wanqing, Chiang, Peggy Pei-Chia, Chimed-Ochir, Odgerel, Chin, Ken Lee, Chisumpa, Vesper Hichilombwe, Chitheer, Abdulaal, Choi, Jee-Young J, Christensen, Hanne, Christopher, Devasahayam J, Chung, Sheng-Chia, Cicuttini, Flavia M, Ciobanu, Liliana G, Cirillo, Massimo, Claro, Rafael M, Cohen, Aaron J, Collado-Mateo, Daniel, Constantin, Maria-Magdalena, Conti, Sara, Cooper, Cyrus, Cooper, Leslie Trumbull, Cortesi, Paolo Angelo, Cortinovis, Monica, Cousin, Ewerton, Criqui, Michael H, Cromwell, Elizabeth A, Crowe, Christopher Stephen, Crump, John A, Cucu, Alexandra, Cunningham, Matthew, Daba, Alemneh Kabeta, Dachew, Berihun Assefa, Dadi, Abel Fekadu, Dandona, Lalit, Dandona, Rakhi, Dang, Anh Kim, Dargan, Paul I, Daryani, Ahmad, Das, Siddharth K, Das Gupta, Rajat, das Neves, José, Dasa, Tamirat Tesfaye, Dash, Aditya Prasad, Weaver, Nicole Davis, Davitoiu, Dragos Virgil, Davletov, Kairat, Dayama, Anand, Courten, Barbora de, De la Hoz, Fernando Pio, De leo, Diego, De Neve, Jan-Walter, Degefa, Meaza Girma, Degenhardt, Louisa, Degfie, Tizta T, Deiparine, Selina, Dellavalle, Robert P, Demoz, Gebre Teklemariam, Demtsu, Balem Betsu, Denova-Gutiérrez, Edgar, Deribe, Kebede, Dervenis, Nikolaos, Des Jarlais, Don C, Dessie, Getenet Ayalew, Dey, Subhojit, Dharmaratne, Samath Dhamminda, Dhimal, Meghnath, Ding, Eric L, Djalalinia, Shirin, Doku, David Teye, Dolan, Kate A, Donnelly, Christl A, Dorsey, E Ray, Douwes-Schultz, Dirk, Doyle, Kerrie E, Drake, Thomas M, Driscoll, Tim Robert, Dubey, Manisha, Dubljanin, Eleonora, Duken, Eyasu Ejeta, Duncan, Bruce B, Duraes, Andre R, Ebrahimi, Hedyeh, Ebrahimpour, Soheil, Edessa, Dumessa, Edvardsson, David, Eggen, Anne Elise, El Bcheraoui, Charbel, El Sayed Zaki, Maysaa, Elfaramawi, Mohammed, El-Khatib, Ziad, Ellingsen, Christian Lycke, Elyazar, Iqbal R F, Enayati, Ahmadali, Endries, Aman Yesuf Yesuf, Er, Benjamin, Ermakov, Sergey Petrovich, Eshrati, Babak, Eskandarieh, Sharareh, Esmaeili, Reza, Esteghamati, Alireza, Esteghamati, Sadaf, Fakhar, Mahdi, Fakhim, Hamed, Farag, Tamer, Faramarzi, Mahbobeh, Fareed, Mohammad, Farhadi, Farzaneh, Farid, Talha A, Farinha, Carla Sofia e Sá, Farioli, Andrea, Faro, Andre, Farvid, Maryam S, Farzadfar, Farshad, Farzaei, Mohammad Hosein, Fazeli, Mir Sohail, Feigin, Valery L, Feigl, Andrea B, Feizy, Fariba, Fentahun, Netsanet, Fereshtehnejad, Seyed-Mohammad, Fernandes, Eduarda, Fernandes, Joao C, Feyissa, Garumma Tolu, Fijabi, Daniel Obadare, Filip, Irina, Finegold, Samuel, Fischer, Florian, Flor, Luisa Sorio, Foigt, Nataliya A, Ford, John A, Foreman, Kyle J, Fornari, Carla, Frank, Tahvi D, Franklin, Richard Charles, Fukumoto, Takeshi, Fuller, John E, Fullman, Nancy, Fürst, Thomas, Furtado, João M, Futran, Neal D, Galan, Adriana, Gallus, Silvano, Gambashidze, Ketevan, Gamkrelidze, Amiran, Gankpe, Fortune Gbetoho, Garcia-Basteiro, Alberto L, Garcia-Gordillo, Miguel A, Gebre, Teshome, Gebre, Abadi Kahsu, Gebregergs, Gebremedhin Berhe, Gebrehiwot, Tsegaye Tewelde, Gebremedhin, Amanuel Tesfay, Gelano, Tilayie Feto, Gelaw, Yalemzewod Assefa, Geleijnse, Johanna M, Genova-Maleras, Ricard, Gessner, Bradford D, Getachew, Sefonias, Gething, Peter W, Gezae, Kebede Embaye, Ghadami, Mohammad Rasoul, Ghadimi, Reza, Ghasemi Falavarjani, Khalil, Ghasemi-Kasman, Maryam, Ghiasvand, Hesam, Ghimire, Mamata, Ghoshal, Aloke Gopal, Gill, Paramjit Singh, Gill, Tiffany K, Gillum, Richard F, Giussani, Giorgia, Goenka, Shifalika, Goli, Srinivas, Gomez, Ricardo Santiago, Gomez-Cabrera, Mari Carmen, Gómez-Dantés, Hector, Gona, Philimon N, Goodridge, Amador, Gopalani, Sameer Vali, Goto, Atsushi, Goulart, Alessandra C, Goulart, Bárbara Niegia Garcia, Grada, Ayman, Grosso, Giuseppe, Gugnani, Harish Chander, Guimaraes, Andre Luiz Sena, Guo, Yuming, Gupta, Prakash C, Gupta, Rahul, Gupta, Rajeev, Gupta, Tanush, Gyawali, Bishal, Haagsma, Juanita A, Hachinski, Vladimir, Hafezi-Nejad, Nima, Hagos, Tekleberhan B, Hailegiyorgis, Tewodros Tesfa, Hailu, Gessessew Bugssa, Haj-Mirzaian, Arya, Haj-Mirzaian, Arvin, Hamadeh, Randah R, Hamidi, Samer, Handal, Alexis J, Hankey, Graeme J, Harb, Hilda L, Harikrishnan, Sivadasanpillai, Haririan, Hamidreza, Haro, Josep Maria, Hasan, Mehedi, Hassankhani, Hadi, Hassen, Hamid Yimam, Havmoeller, Rasmus, Hay, Roderick J, Hay, Simon I, He, Yihua, Hedayatizadeh-Omran, Akbar, Hegazy, Mohamed I, Heibati, Behzad, Heidari, Mohsen, Hendrie, Delia, Henok, Andualem, Henry, Nathaniel J, Heredia-Pi, Ileana, Herteliu, Claudiu, Heydarpour, Fatemeh, Heydarpour, Pouria, Heydarpour, Sousan, Hibstu, Desalegn Tsegaw, Hoek, Hans W, Hole, Michael K, Homaie Rad, Enayatollah, Hoogar, Praveen, Horino, Masako, Hosgood, H Dean, Hosseini, Seyed Mostafa, Hosseinzadeh, Mehdi, Hostiuc, Sorin, Hostiuc, Mihaela, Hotez, Peter J, Hoy, Damian G, Hsairi, Mohamed, Htet, Aung Soe, Hu, Guoqing, Huang, John J, Husseini, Abdullatif, Hussen, Mohammedaman Mama, Hutfless, Susan, Iburg, Kim Moesgaard, Igumbor, Ehimario U, Ikeda, Chad Thomas, Ilesanmi, Olayinka Stephen, Iqbal, Usman, Irvani, Seyed Sina Naghibi, Isehunwa, Oluwaseyi Oluwakemi, Islam, Sheikh Mohammed Shariful, Islami, Farhad, Jahangiry, Leila, Jahanmehr, Nader, Jain, Rajesh, Jain, Sudhir Kumar, Jakovljevic, Mihajlo, James, Spencer L, Javanbakht, Mehdi, Jayaraman, Sudha, Jayatilleke, Achala Upendra, Jee, Sun Ha, Jeemon, Panniyammakal, Jha, Ravi Prakash, Jha, Vivekanand, Ji, John S, Johnson, Sarah Charlotte, Jonas, Jost B, Joshi, Ankur, Jozwiak, Jacek Jerzy, Jungari, Suresh Banayya, Jürisson, Mikk, K, Madhanraj, Kabir, Zubair, Kadel, Rajendra, Kahsay, Amaha, Kahssay, Molla, Kalani, Rizwan, Kapil, Umesh, Karami, Manoochehr, Karami Matin, Behzad, Karch, André, Karema, Corine, Karimi, Narges, Karimi, Seyed M, Karimi-Sari, Hamidreza, Kasaeian, Amir, Kassa, Getachew Mullu, Kassa, Tesfaye Dessale, Kassa, Zemenu Yohannes, Kassebaum, Nicholas J, Katibeh, Marzieh, Katikireddi, Srinivasa Vittal, Kaul, Anil, Kawakami, Norito, Kazemeini, Hossein, Kazemi, Zhila, Karyani, Ali Kazemi, K C, Prakash, Kebede, Seifu, Keiyoro, Peter Njenga, Kemp, Grant Rodgers, Kengne, Andre Pascal, Keren, Andre, Kereselidze, Maia, Khader, Yousef Saleh, Khafaie, Morteza Abdullatif, Khajavi, Alireza, Khalid, Nauman, Khalil, Ibrahim A, Khan, Ejaz Ahmad, Khan, Gulfaraz, Khan, Muhammad Shahzeb, Khan, Muhammad Ali, Khang, Young-Ho, Khanna, Tripti, Khater, Mona M, Khatony, Alireza, Khazaie, Habibolah, Khoja, Abdullah T, Khosravi, Ardeshir, Khosravi, Mohammad Hossein, Khubchandani, Jagdish, Kiadaliri, Aliasghar A, Kibret, Getiye D Dejenu, Kim, Cho-il, Kim, Daniel, Kim, Jun Y, Kim, Young-Eun, Kimokoti, Ruth W, Kinfu, Yohannes, Kinra, Sanjay, Kisa, Adnan, Kissimova-Skarbek, Katarzyna, Kissoon, Niranjan, Kivimäki, Mika, Kleber, Marcus E, Knibbs, Luke D, Knudsen, Ann Kristin Skrindo, Kochhar, Sonali, Kokubo, Yoshihiro, Kolola, Tufa, Kopec, Jacek A, Kosek, Margaret N, Kosen, Soewarta, Koul, Parvaiz A, Koyanagi, Ai, Kravchenko, Michael A, Krishan, Kewal, Krishnaswami, Sanjay, Kuate Defo, Barthelemy, Kucuk Bicer, Burcu, Kudom, Andreas A, Kuipers, Ernst J, Kulikoff, Xie Rachel, Kumar, G Anil, Kumar, Manasi, Kumar, Pushpendra, Kumsa, Fekede Asefa, Kutz, Michael J, Lad, Sheetal D, Lafranconi, Alessandra, Lal, Dharmesh Kumar, Lalloo, Ratilal, Lam, Hilton, Lami, Faris Hasan, Lan, Qing, Langan, Sinéad M, Lansingh, Van C, Lansky, Sonia, Larson, Heidi Jane, Laryea, Dennis Odai, Lassi, Zohra S, Latifi, Arman, Lavados, Pablo M, Laxmaiah, Avula, Lazarus, Jeffrey V, Lebedev, Georgy, Lee, Paul H, Leigh, James, Leshargie, Cheru Tesema, Leta, Samson, Levi, Miriam, Li, Shanshan, Li, Yichong, Li, Xiaohong, Liang, Juan, Liang, Xiaofeng, Liben, Misgan Legesse, Lim, Lee-Ling, Lim, Stephen S, Limenih, Miteku Andualem, Linn, Shai, Liu, Shiwei, Liu, Yang, Lodha, Rakesh, Logroscino, Giancarlo, Lonsdale, Chris, Lorch, Scott A, Lorkowski, Stefan, Lotufo, Paulo A, Lozano, Rafael, Lucas, Tim C D, Lunevicius, Raimundas, Lyons, Ronan A, Ma, Stefan, Mabika, Crispin, Macarayan, Erlyn Rachelle King, Mackay, Mark T, Maddison, Emilie R, Maddison, Ralph, Madotto, Fabiana, Magdy Abd El Razek, Hassan, Magdy Abd El Razek, Muhammed, Maghavani, Dhaval P, Majdan, Marek, Majdzadeh, Reza, Majeed, Azeem, Malekzadeh, Reza, Malik, Manzoor Ahmad, Malta, Deborah Carvalho, Mamun, Abdullah A, Manamo, Wondimu Ayele, Manda, Ana-Laura, Mansournia, Mohammad Ali, Mantovani, Lorenzo Giovanni, Mapoma, Chabila Christopher, Marami, Dadi, Maravilla, Joemer C, Marcenes, Wagner, Marina, Shakhnazarova, Martinez-Raga, Jose, Martins, Sheila C O, Martins-Melo, Francisco Rogerlândio, März, Winfried, Marzan, Melvin B, Mashamba-Thompson, Tivani Phosa, Masiye, Felix, Massenburg, Benjamin Ballard, Maulik, Pallab K, Mazidi, Mohsen, McGrath, John J, McKee, Martin, Mehata, Suresh, Mehendale, Sanjay Madhav, Mehndiratta, Man Mohan, Mehrotra, Ravi, Mehta, Kala M, Mehta, Varshil, Mekonen, Tesfa, Mekonnen, Tefera Chane, Meles, Hagazi Gebre, Meles, Kidanu Gebremariam, Melese, Addisu, Melku, Mulugeta, Memiah, Peter T N, Memish, Ziad A, Mendoza, Walter, Mengistu, Desalegn Tadese, Mengistu, Getnet, Mensah, George A, Mereta, Seid Tiku, Meretoja, Atte, Meretoja, Tuomo J, Mestrovic, Tomislav, Mezgebe, Haftay Berhane, Miangotar, Yode, Miazgowski, Bartosz, Miazgowski, Tomasz, Miller, Ted R, Mini, G K, Mirica, Andreea, Mirrakhimov, Erkin M, Misganaw, Awoke Temesgen, Moazen, Babak, Moges, Nurilign Abebe, Mohammad, Karzan Abdulmuhsin, Mohammadi, Moslem, Mohammadifard, Noushin, Mohammadi-Khanaposhtani, Maryam, Mohammadnia-Afrouzi, Mousa, Mohammed, Shafiu, Mohammed, Mohammed A, Mohan, Viswanathan, Mokdad, Ali H, Molokhia, Mariam, Monasta, Lorenzo, Moradi, Ghobad, Moradi, Mahmoudreza, Moradi-Lakeh, Maziar, Moradinazar, Mehdi, Moraga, Paula, Morawska, Lidia, Moreno Velásquez, Ilais, Morgado-da-Costa, Joana, Morrison, Shane Douglas, Mosapour, Abbas, Moschos, Marilita M, Mousavi, Seyyed Meysam, Muche, Achenef Asmamaw, Muchie, Kindie Fentahun, Mueller, Ulrich Otto, Mukhopadhyay, Satinath, Mullany, Erin C, Muller, Kate, Murhekar, Manoj, Murphy, Tasha B, Murthy, G V S, Murthy, Srinivas, Musa, Jonah, Musa, Kamarul Imran, Mustafa, Ghulam, Muthupandian, Saravanan, Nachega, Jean B, Nagel, Gabriele, Naghavi, Mohsen, Naheed, Aliya, Nahvijou, Azin, Naik, Gurudatta, Nair, Sanjeev, Najafi, Farid, Nangia, Vinay, Nansseu, Jobert Richie, Nascimento, Bruno Ramos, Nawaz, Haseeb, Ncama, Busisiwe P, Neamati, Nahid, Negoi, Ionut, Negoi, Ruxandra Irina, Neupane, Subas, Newton, Charles Richard James, Ngalesoni, Frida N, Ngunjiri, Josephine W, Nguyen, Ha Thu, Nguyen, Huong Thanh, Nguyen, Long Hoang, Nguyen, Michele, Nguyen, Trang Huyen, Ningrum, Dina Nur Anggraini, Nirayo, Yirga Legesse, Nisar, Muhammad Imran, Nixon, Molly R, Nolutshungu, Nomonde, Nomura, Shuhei, Norheim, Ole F, Noroozi, Mehdi, Norrving, Bo, Noubiap, Jean Jacques, Nouri, Hamid Reza, Nourollahpour Shiadeh, Malihe, Nowroozi, Mohammad Reza, Nsoesie, Elaine O, Nyasulu, Peter S, Ofori-Asenso, Richard, Ogah, Okechukwu Samuel, Ogbo, Felix Akpojene, Oh, In-Hwan, Okoro, Anselm, Oladimeji, Olanrewaju, Olagunju, Andrew T, Olagunju, Tinuke O, Olivares, Pedro R, Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Ong, Sok King, Opio, John Nelson, Oren, Eyal, Ortiz, Justin R, Ortiz, Alberto, Ota, Erika, Otstavnov, Stanislav S, Øverland, Simon, Owolabi, Mayowa Ojo, Oyekale, Abayomi Samuel, P A, Mahesh, Pacella, Rosana, Pakhale, Smita, Pakhare, Abhijit P, Pana, Adrian, Panda, Basant Kumar, Panda-Jonas, Songhomitra, Pandey, Achyut Raj, Pandian, Jeyaraj Durai, Parisi, Andrea, Park, Eun-Kee, Parry, Charles D H, Parsian, Hadi, Patel, Shanti, Patle, Ajay, Patten, Scott B, Patton, George C, Paudel, Deepak, Pearce, Neil, Peprah, Emmanuel K, Pereira, Alexandre, Pereira, David M, Perez, Krystle M, Perico, Norberto, Pervaiz, Aslam, Pesudovs, Konrad, Petri, William A, Petzold, Max, Phillips, Michael R, Pigott, David M, Pillay, Julian David, Pirsaheb, Meghdad, Pishgar, Farhad, Plass, Dietrich, Polinder, Suzanne, Pond, Constance Dimity, Popova, Svetlana, Postma, Maarten J, Pourmalek, Farshad, Pourshams, Akram, Poustchi, Hossein, Prabhakaran, Dorairaj, Prakash, V, Prakash, Swayam, Prasad, Narayan, Qorbani, Mostafa, Quistberg, D Alex, Radfar, Amir, Rafay, Anwar, Rafiei, Alireza, Rahim, Fakher, Rahimi, Kazem, Rahimi-Movaghar, Afarin, Rahimi-Movaghar, Vafa, Rahman, Mahfuzar, Rahman, Mohammad Hifz Ur, Rahman, Muhammad Aziz, Rahman, Sajjad ur, Rai, Rajesh Kumar, Rajati, Fatemeh, Rajsic, Sasa, Raju, Sree Bhushan, Ram, Usha, Ranabhat, Chhabi Lal, Ranjan, Prabhat, Ranta, Anna, Rasella, Davide, Rawaf, David Laith, Rawaf, Salman, Ray, Sarah E, Razo-García, Christian, Rego, Maria Albertina Santiago, Rehm, Jürgen, Reiner, Robert C, Reinig, Nickolas, Reis, Cesar, Remuzzi, Giuseppe, Renzaho, Andre M N, Resnikoff, Serge, Rezaei, Satar, Rezaeian, Shahab, Rezai, 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Subjects: Child mortality, Alnæmi, Dánartíðni, Heilsufar, GBD, Börn, Dauði, Almennar lyflækningar, Fullorðnir, General & Internal Medicine, parasitic diseases, Psychology, age-specific mortality, Estimating adult mortality, Medicine (all), HIV, 11 Medical And Health Sciences, General Medicine, All-cause mortality, humanities, Countries, Death, mortality, national, Sálfræði, Health, GBD, mortality, Human medicine, Trends
Abstract: The content is solely the responsibility of the authors and does not necessarily represent the official views of the funders. Data for this research was provided by MEASURE Evaluation, funded by the United States Agency for International Development (USAID). Views expressed do not necessarily reflect those of USAID, the US Government, or MEASURE Evaluation. The Palestinian Central Bureau of Statistics granted the researchers access to relevant data in accordance with licence no. SLN2014-3-170, after subjecting data to processing aiming to preserve the confidentiality of individual data in accordance with the General Statistics Law-2000. The researchers are solely responsible for the conclusions and inferences drawn upon available data., Background Assessments of age-specific mortality and life expectancy have been done by the UN Population Division, Department of Economics and Social Affairs (UNPOP), the United States Census Bureau, WHO, and as part of previous iterations of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD). Previous iterations of the GBD used population estimates from UNPOP, which were not derived in a way that was internally consistent with the estimates of the numbers of deaths in the GBD. The present iteration of the GBD, GBD 2017, improves on previous assessments and provides timely estimates of the mortality experience of populations globally. Methods The GBD uses all available data to produce estimates of mortality rates between 1950 and 2017 for 23 age groups, both sexes, and 918 locations, including 195 countries and territories and subnational locations for 16 countries. Data used include vital registration systems, sample registration systems, household surveys (complete birth histories, summary birth histories, sibling histories), censuses (summary birth histories, household deaths), and Demographic Surveillance Sites. In total, this analysis used 8259 data sources. Estimates of the probability of death between birth and the age of 5 years and between ages 15 and 60 years are generated and then input into a model life table system to produce complete life tables for all locations and years. Fatal discontinuities and mortality due to HIV/AIDS are analysed separately and then incorporated into the estimation. We analyse the relationship between age-specific mortality and development status using the Socio-demographic Index, a composite measure based on fertility under the age of 25 years, education, and income. There are four main methodological improvements in GBD 2017 compared with GBD 2016: 622 additional data sources have been incorporated; new estimates of population, generated by the GBD study, are used; statistical methods used in different components of the analysis have been further standardised and improved; and the analysis has been extended backwards in time by two decades to start in 1950. Findings Globally, 18·7% (95% uncertainty interval 18·4–19·0) of deaths were registered in 1950 and that proportion has been steadily increasing since, with 58·8% (58·2–59·3) of all deaths being registered in 2015. At the global level, between 1950 and 2017, life expectancy increased from 48·1 years (46·5–49·6) to 70·5 years (70·1–70·8) for men and from 52·9 years (51·7–54·0) to 75·6 years (75·3–75·9) for women. Despite this overall progress, there remains substantial variation in life expectancy at birth in 2017, which ranges from 49·1 years (46·5–51·7) for men in the Central African Republic to 87·6 years (86·9–88·1) among women in Singapore. The greatest progress across age groups was for children younger than 5 years; under-5 mortality dropped from 216·0 deaths (196·3–238·1) per 1000 livebirths in 1950 to 38·9 deaths (35·6–42·83) per 1000 livebirths in 2017, with huge reductions across countries. Nevertheless, there were still 5·4 million (5·2–5·6) deaths among children younger than 5 years in the world in 2017. Progress has been less pronounced and more variable for adults, especially for adult males, who had stagnant or increasing mortality rates in several countries. The gap between male and female life expectancy between 1950 and 2017, while relatively stable at the global level, shows distinctive patterns across super-regions and has consistently been the largest in central Europe, eastern Europe, and central Asia, and smallest in south Asia. Performance was also variable across countries and time in observed mortality rates compared with those expected on the basis of development. Interpretation This analysis of age-sex-specific mortality shows that there are remarkably complex patterns in population mortality across countries. The findings of this study highlight global successes, such as the large decline in under-5 mortality, which reflects significant local, national, and global commitment and investment over several decades. However, they also bring attention to mortality patterns that are a cause for concern, particularly among adult men and, to a lesser extent, women, whose mortality rates have stagnated in many countries over the time period of this study, and in some cases are increasing., Research reported in this publication was supported by the Bill & Melinda Gates Foundation, the University of Melbourne, Public Health England, the Norwegian Institute of Public Health, St. Jude Children's Research Hospital, the National Institute on Aging of the National Institutes of Health (award P30AG047845), and the National Institute of Mental Health of the National Institutes of Health (award R01MH110163).
Published: 2018

28. Racial disparity in mortality from tuberculosis in the US between states with and without a history of Jim-Crow laws: an analysis of the Global Burden of Disease (GBD) and risk factors study, 1990 to 2019.

Author: Gona PN, Estrada-Martinez LM, Zhang L, Gona CM, Mody A, Rao SR, Cooper J, Mack-Shelton K, Chen P, Leveille SG, and Mokdad AH
Subjects: Humans, United States epidemiology, Risk Factors, Health Status Disparities, Tuberculosis mortality, Tuberculosis ethnology, Global Burden of Disease
Abstract: Background: While TB-related mortality in the US declined four-fold from 1990 to 2019, country-level estimates of TB burden obscure within-state racial heterogeneity and changes in TB burden over time. In sixteen US Southern States and Washington DC, the effects of health inequities engendered by Jim-Crow laws enacted from the late 1800s to the 1960s have not been evaluated for TB-related mortality. We, therefore, sought to compare TB mortality rates and annualized rate of change (AROC) between 1990 and 2019 in former Jim-Crow vs. non-Jim-Crow states to help guide response efforts and inform resource prioritization to improve racial equity., Methods: We evaluated whether TB-related mortality varied over time, from 1990 to 2019, between states that have a history of enacting Jim-Crow laws vs. states with no such history using estimates from the Global Burden of Diseases, Injuries, and Risk Factors Study 2019 (GBD 2019). TB mortality per 100,000 population and bootstrap 95% uncertainty intervals (UIs) were modeled using the Cause of Death Ensemble model (CODEm) framework with varying combinations of predictive covariates. For changes over time, we present age-standardized AROC as the percent difference in the natural logarithm of the rate in 1990 and 2019 divided by 30 (i.e., 100*[ln(2019 Rate/1990 Rate)/(30)) and the corresponding 95% UIs., Results: TB-related mortality in all US states declined between 1990 and 2019. From 1990 to 2019, most former Jim-Crow states had higher mortality rates than states that did not enact Jim-Crow laws. The most significant decline in TB mortality was in Washington DC, with a six-fold decline from 2.69 (2.46-2.96) per 100,000 population in 1990 to 0.45(0.37-0.55) in 2019, corresponding to an AROC of -0.83% (-0.86;-0.79). The lowest decline was in Iowa, from 0.30 (0.27-0.33) to 0.09 (0.07-0.11) (AROC: -0.70% (-0.76; -0.63)). Eleven of the 16 states and Washington DC in the third tertile of TB mortality rate in 1990 (range 0.81-2.69) had a history of Jim-Crow laws, whereas none of the 17 states in the first tertile (range 0.30-0.51) had such history. Conversely, mortality decreased relatively slowly in former Jim-Crow states than in non-Jim-Crow states., Conclusions: Even though the 1964 Civil Rights Act dismantled Jim-Crow statutes, racial inequities in TB burden experienced by past generations may still be felt in subsequent generations. Understanding the role of structural racism at the intersection of science and medicine shows the complex ways historical laws, such as Jim-Crow laws, continue to negatively impact health outcomes and warn of future dangers, such as COVID-19, to avoid., (© 2024. The Author(s).)
Published: 2024
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29. Conducting Community-Based Research in An African Immigrant Population: Lessons Learned.

Author: Gona CM, Kieran K, Durning J, O'Brien LM, Gotora R, Gordon T, and Gona PN
Subjects: Humans, Male, Cross-Sectional Studies, Female, Adult, Zimbabwe ethnology, Middle Aged, Qualitative Research, United States, Emigrants and Immigrants, Focus Groups, Community-Based Participatory Research
Abstract: Background: Although small, the African immigrant population is one of the fastest growing immigrant populations in the United States. Emerging research indicates a high prevalence of noncommunicable preventable chronic conditions in this population. Like other African Americans, African immigrants are mistrustful of the health care system, hampering efforts for prevention and intervention research., Purpose: To describe our experiences conducting 2 studies in an African immigrant community, discuss the lessons learned, and provide advice to researchers interested in conducting research in similar populations., Design: The 2 published studies for which we derive lessons learned for this paper were a cross-sectional study and a qualitative study using focus group interviews. Participants included Zimbabwean immigrants in the Eastern United States recruited at religious festivals and community events. The 2 studies enrolled a total of 135 participants., Results: Of our recruitment goal of 120 in the first study, we enrolled only 98 despite numerous efforts. However, after strategically partnering with a community advisory board (CAB), in the second study, we met our recruitment goal within 4 months. With the CAB, we recruited a larger proportion of men (38% versus 24%). Without the CAB, 350 individuals agreed to participate, but only 98 (28%) returned the questionnaire, whereas with the CAB, 40 agreed to participate, and 37 (93%) successfully completed the study., Conclusion: Conducting health-related research in immigrants requires strategic partnerships with the community to build strong relationships between the research team and the target community. By nurturing these relationships, research teams can effectively access this hard-to-reach population and achieve high participation., Competing Interests: Conflict of Interest: The authors declare no conflicts of interest.
Published: 2024
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30. The association of physical activity duration and intensity on emotional intelligence in 10-13 year-old Children.

Author: Gabour MC, You T, Fleming R, McNicholas PD, and Gona PN
Abstract: Previous studies have shown that Physical Activity (PA) has a positive association with emotional health and intelligence in adolescents but none have focused on the relationship of PA duration and intensity on Emotional Intelligence (EI). The purpose of this study was to cross-sectionally assess the association of PA measures on overall EI and its domains in a cohort of 2 029 adolescents aged 10-13 years of age in the National Longitudinal Survey for Children and Youth (NLSCY) from Canada. Multivariable linear regression analysis of EI was adjusted for age, sex, annual household income, and health status. One-way analysis of variance (ANOVA) was used to relate PA duration measured in minutes, frequency, and intensity categories with continuous GEI scores and also the corresponding scores for domains of GEI. The mean GEI scores were (28.3 ± 6.6) for 0-30 minute (min) PA duration, (30.0 ± 6.5) for 30 to < 60 min, (30.8 ± 6.7) for 60-120 min, and (30.1 ± 6.5) for ≥ 121 min. There was a statistically significant linear trend across PA duration categories, p = 0.000 4. Post-hoc pairwise comparison revealed that compared to the referent category (< 30 min PA category) was statistically significantly lower GEI than each of the other two PA categories (30-59 min; and 60-120 min), both p -values < 0.01. Meeting World Health Organization (WHO) guidelines for duration and vigorous intensity were positively associated with the higher overall EI and its domains except for Stress Management., Competing Interests: Tongjian You is an editorial board member for Sports Medicine and Health Science and was not involved in the editorial review or the decision to publish this article. The authors have no Conflict of Interest to declare., (© 2024 Chengdu Sport University. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd.)
Published: 2024
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31. Prevalence and distribution of aortic plaque by sex and age group among community-dwelling adults.

Author: Qazi S, Gona PN, Oyama-Manabe N, Salton CJ, O'Donnell CJ, Manning WJ, and Chuang ML
Subjects: Male, Adult, Humans, Female, Cohort Studies, Prevalence, Independent Living, Aorta, Thoracic diagnostic imaging, Risk Factors, Plaque, Atherosclerotic diagnostic imaging, Plaque, Atherosclerotic pathology, Aortic Diseases diagnostic imaging, Aortic Diseases epidemiology
Abstract: Rationale and Objectives: Atherosclerosis of the aorta is associated with increased risk of cardiovascular mortality and vascular events. We aim to describe the prevalence and distribution of non-calcified atherosclerotic plaque in the descending aorta as quantified by noncontrast cardiovascular magnetic resonance (CMR) in a community-dwelling cohort of adults., Materials and Methods: We used CMR to quantify noncalcified aortic plaque in 1726 participants (aged 65 ± 9 years, 46.7% men) from the Cohort Study Offspring cohort. ECG-gated, fat-suppressed, T2-weighted, black blood turbo spin echo sequence was used to acquire 36 transverse slices covering the descending aorta from just below the arch to the aortoiliac bifurcation. Plaque was defined as discrete luminal protrusions ≥1 mm; these were manually traced, then summed to determine total descending aortic plaque (DAP) and segmental thoracic and abdominal aortic plaque (TAP, AAP). Participants were stratified by sex and age group (<55, 55-64, 65-74, ≥75y). A healthy referent group (without clinical cardiovascular disease, smoking, diabetes, impaired renal function; (N = 768, 43.8% men) was used to determine upper 90th percentile cutpoints for DAP and AAP which were then applied to the overall study cohort., Results: Prevalence of DAP was similar between men (47.3%) and women (48.9%), p = 0.50, as was AAP prevalence (men: 44.5%, women: 46.7%, p = 0.16); TAP was less prevalent in both sexes (men: 8.9%, women: 7.1%, p = 0.15). Both prevalence and burden of DAP, AAP and TAP increased with advancing age., Conclusion: Noncalcified plaque prevalence, visualized on CMR, in community-dwelling adults is similar between the sexes, and both prevalence and burden of aortic plaque increase with greater age., Competing Interests: Declaration of competing interest None., (Copyright © 2022. Published by Elsevier Inc.)
Published: 2023
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32. Distribution, Determinants and Normal Reference Values of Aortic Arch Width: Thoracic Aortic Geometry in the Framingham Heart Study.

Author: Qazi S, Gona PN, Musgrave RM, Fox CS, Massaro JM, Hoffmann U, Chuang ML, and O'Donnell CJ
Abstract: Study Objective: Aortic arch geometry changes with age, including an increase in aortic arch width (AAW). High AAW is a predictor of incident adverse cardiovascular disease (CVD) events, but its distribution and determinants are unknown. We hypothesized that traditional CVD risk factors, in addition to age, are associated with increased AAW in community-dwelling adults., Study Design: Framingham Offspring and Third Generation cohort participants (N=3026, 52% Men) underwent thoracic multidetector computed tomography (MDCT). A referent group (733M, 738W) free of clinical CVD, hypertension, dyslipidemia, smoking, and diabetes was used to generate sex and 10-year age-group specific upper 90th percentile (P90) cut-points for AAW. AAW was measured as the distance between the cross-sectional centroids of the ascending and descending thoracic aorta. Multivariable logistic regression models were used to identify clinical correlates of high AAW (≥referent P90) in the overall study group., Results: Among referent participants, AAW increased with greater age-group, p for trend <0.0001 in each sex. Overall and within each age group, AAW was greater in men than women, p<0.0001 all comparisons. Across all participants, high AAW was associated with greater age (odds ratio, OR=1.34/10y; 95% confidence interval 1.20 - 1.50), body surface area (OR=1.97/SD; 1.62 - 2.40), diastolic blood pressure (OR=1.59/10mmHg; 1.40 - 1.81), pack-years smoked (OR=1.07; 1.02 - 1.13), and prevalent CVD (OR=1.64; 1.08 - 2.49)., Conclusion: AAW increases with greater age, body size, diastolic blood pressure and burden of smoking. High AAW (≥referent P90) is also associated with prevalent (clinically apparent) CVD. AAW is often seen on and easily measured from tomographic thoracic images and has prognostic value.
Published: 2023
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33. Association of Parental Cardiovascular Health With Disability-Adjusted Life Years in the Offspring: Results From the Framingham Heart Study.

Author: Muchira JM, Gona PN, Mogos MF, Stuart-Shor EM, Leveille SG, Piano MR, and Hayman LL
Subjects: Adult, Humans, Life Expectancy, Longitudinal Studies, Parents, Risk Factors, Disability-Adjusted Life Years, Cardiovascular Diseases diagnosis, Cardiovascular Diseases epidemiology
Abstract: Background: Disability-adjusted life years (DALYs) are used to evaluate the relative burden of diseases in populations to help set prevention or treatment priorities. The impact of parental cardiovascular health (CVH) on healthy life years lost from cardiovascular disease (CVD) in adult offspring is unknown. We compared parent-offspring CVD DALYs trends over the life course and examined the association of parental CVH with offspring CVD DALYs., Methods: Using data from the Framingham Heart Study, 4814 offspring-mother-father trios were matched for age at selected baseline exams. CVH score was computed from the number of CVH metrics attained at recommended levels: poor (0-2), intermediate (3-4), and ideal (5-7). CVD DALYs were defined as the sum of years of life lost and years lived with CVD. Age-sex-standardized life expectancy and disability weights were derived from the actuarial life tables and Global Burden of Disease study, respectively. Multivariable-adjusted linear regression was used to investigate the association of parental CVH with offspring CVD DALYs., Results: Over an equal 47-year follow-up, parents lost nearly twice the number of CVD DALYs compared to their offspring (23 234 versus 12 217). However, age-adjusted CVD DALYs were higher at younger ages and similar along the life course for parents and offspring. One-unit increase in parental CVH was associated with 5 healthy life months saved in offspring. Offspring of mothers with ideal versus poor CVH had 3 healthy life years saved (β=-3.0 DALYs [95% CI, -5.6 to -0.3]). No statistically significant association was found between paternal CVH categories and offspring CVD DALYs., Conclusions: Higher maternal and paternal CVH were associated with increased healthy life years in offspring; however, the association was strongest between mothers and offspring. Investment in CVH promotion along the life course has the potential to reduce the burden of CVD in the current and future generation of adults.
Published: 2023
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34. Bacterial pathogens and climate change.

Author: Gona PN and More AF
Subjects: Humans, Climate Change, Bacteria
Abstract: Competing Interests: We declare no competing interests.
Published: 2022
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35. African Immigrant Health: The Health Promotion Beliefs of Zimbabwean Immigrants in the United States.

Author: Gona CM, Palan-Lopez R, Wood L, Gotora RS, and Gona PN
Subjects: Black People, Focus Groups, Health Promotion, Humans, Qualitative Research, United States, Zimbabwe, Black or African American, Cardiovascular Diseases, Emigrants and Immigrants
Abstract: To examine the health beliefs that can influence engagement in cardiovascular disease (CVD) risk reduction health promotion activities among Zimbabwe-born immigrants in the US. Focus group interviews with 37 New England-based Zimbabwean immigrants in the US conducted between January and April 2019. Focus groups were led by study investigators who were members of the Zimbabwean community. Interviews were audio-recorded and transcribed. Data were analyzed using framework analysis. Five themes emerged: (1) negative attitudes toward ill health, (2) mistrust toward western medicine, (3) stigma and taboo toward ill health, (4) a negative change in eating habits and (5) negative attitudes toward physical exercise. The participants' attitudes and beliefs may interfere with their engagement in health promotion activities aimed at reducing the burden of CVD risk in this population. Understanding these beliefs paves the way for development of culturally congruent health promotion interventions in Zimbabwean and other African immigrant populations., (© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)
Published: 2022
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36. Relation of MRI Aortic Wall Area and Plaque to Incident Cardiovascular Events: The Framingham Heart Study.

Author: Neisius U, Gona PN, Oyama-Manabe N, Chuang ML, O'Donnell CJ, Manning WJ, and Tsao CW
Subjects: Aged, Cross-Sectional Studies, Female, Humans, Incidence, Longitudinal Studies, Magnetic Resonance Imaging, Male, Middle Aged, Predictive Value of Tests, Prospective Studies, Risk Factors, Cardiovascular Diseases complications, Cardiovascular Diseases diagnostic imaging, Cardiovascular Diseases epidemiology, Coronary Disease, Myocardial Infarction, Plaque, Atherosclerotic complications, Plaque, Atherosclerotic diagnostic imaging, Stroke complications
Abstract: Background Arterial arteriosclerosis and atherosclerosis reflect vascular disease, the subclinical detection of which allows opportunity for cardiovascular disease (CVD) prevention. Larger cohort studies simultaneously quantifying anatomic thoracic and abdominal aortic pathologic abnormalities are lacking in the literature. Purpose To investigate the association of aortic wall area (AWA) and atherosclerotic plaque presence and burden as measured on MRI scans with incident CVD in a community sample. Materials and Methods In this prospective cohort study, participants in the Framingham Heart Study Offspring Cohort without prevalent CVD underwent 1.5-T MRI (between 2002-2005) of the descending thoracic and abdominal aorta with electrocardiogram-gated axial T2-weighted black-blood acquisitions. The wall thickness of the thoracic aorta was measured at the pulmonary bifurcation level and used to calculate the AWA as the difference between cross-sectional vessel area and lumen area. For primary or secondary analyses, multivariable Cox proportional hazards regression models were used to examine the association of aortic MRI measures with risk of first-incident CVD events or stroke and coronary heart disease, respectively. Results In 1513 study participants (mean age, 64 years ± 9 [SD]; 842 women [56%]), 223 CVD events occurred during follow-up (median, 13.1 years), of which 97 were major events (myocardial infarction, ischemic stroke, or CVD death). In multivariable analysis, thoracic AWA and prevalent thoracic plaque were associated with incident CVD (hazard ratio [HR], 1.20 per SD unit [95% CI: 1.05, 1.37] [ P = .006] and HR, 1.63 [95% CI: 1.12, 2.35] [ P = .01], respectively). AWA and prevalent thoracic plaque were associated with increased hazards: 1.32 (95% CI: 1.07, 1.62; P = .01) and 2.20 (95% CI: 1.28, 3.79; P = .005), for stroke and coronary heart disease, respectively. Conclusion In middle-aged community-dwelling adults, thoracic aortic wall area (AWA), plaque prevalence, and plaque volumes measured with MRI were independently associated with incident cardiovascular disease, with AWA associated in particular with stroke, and plaque associated with coronary heart disease. Clinical trial registration no. NCT00041418 © RSNA, 2022 Online supplemental material is available for this article . See also the editorial by Peshock in this issue.
Published: 2022
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37. Parental cardiovascular health predicts time to onset of cardiovascular disease in offspring.

Author: Muchira JM, Gona PN, Mogos MF, Stuart-Shor E, Leveille SG, Piano MR, and Hayman LL
Subjects: Child, Female, Health Status, Heart Disease Risk Factors, Humans, Male, Parents, Risk Factors, United States, Cardiovascular Diseases diagnosis, Cardiovascular Diseases epidemiology, Cardiovascular System
Abstract: Background: Cardiovascular disease (CVD) risk factors are transmitted from parents to children. We prospectively examined the association between parental cardiovascular health (CVH) and time to onset of CVD in the offspring., Methods and Results: The study consisted of a total of 5967 offspring-mother-father trios derived from the Framingham Heart Study. Cardiovascular health score was defined using the seven American Heart Association's CVH metrics attained at ideal levels: poor (0-2), intermediate (3-4), and ideal CVH (5-7). Multivariable-adjusted Cox proportional hazards regression models, Kaplan-Meier plots, and Irwin's restricted mean were used to examine the association and sex-specific differences between parental CVH and offspring's CVD-free survival. In a total of 71 974 person-years of follow-up among the offspring, 718 incident CVD events occurred. The overall CVD incidence rate was 10 per 1000 person-years [95% confidence interval (CI) 9.3-10.7]. Offspring of mothers with ideal CVH lived 9 more years free of CVD than offspring of mothers with poor CVH (P < 0.001). Maternal poor CVH was associated with twice as high hazard of early onset of CVD compared with maternal ideal CVH (adjusted Hazard Ratio 2.09, 95% CI 1.50-2.92). No statistically significant association was observed in the hazards of CVD-free survival by paternal CVH categories., Conclusions: We found that offspring of parents with ideal CVH had a greater CVD-free survival. Maternal CVH was a more robust predictor of offspring's CVD-free survival than paternal CVH, underscoring the need for clinical and policy interventions that involve mothers to break the intergenerational cycle of CVD-related morbidity and mortality., (Published on behalf of the European Society of Cardiology. All rights reserved. © The Author(s) 2020. For permissions, please email: journals.permissions@oup.com.)
Published: 2022
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38. Soluble (Pro)renin Receptor Is Adversely Associated with Indices of Left Ventricular Structure and Function: The African-PREDICT Study.

Author: Gafane-Matemane LF, Kruger R, Van Rooyen JM, Gona PN, and Schutte AE
Abstract: This study aims to compare soluble (pro)renin receptor [s(P)RR] levels between black and white adults and to explore the associations of left ventricular (LV) structure and function with s(P)RR in the total and ethnicity-stratified groups. The study sample included 1172 apparently healthy black (n = 587) and white (n = 585) participants of the African-PREDICT study aged 20−30 years. Echocardiography was performed to determine relative wall thickness (RWT), LV mass index, LV ejection fraction and stroke volume index (SVi). s(P)RR was analyzed from serum samples, while plasma renin activity-surrogate (PRA-S) and eq angiotensin II were determined using the RAS™ Fingerprint. s(P)RR was higher in the white participants compared to the black participants (p < 0.001). In multivariable-adjusted linear regression analyses, we observed a positive association between RWT and s(P)RR (β = 0.141; p = 0.005) and negative associations of LV ejection fraction (β = −0.123; p = 0.016) and SVi (β = −0.144; p = 0.004) with s(P)RR only in white adults. Higher s(P)RR observed in white vs. black participants was associated with higher RWT and poorer LV function only in young white adults but not in their black counterparts. These results suggest that s(P)RR may contribute to LV remodeling and dysfunction in white populations due to its role in volume−pressure regulation and its proinflammatory as well as profibrotic effects.
Published: 2022
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39. Age, Sex, and Race/Ethnicity Associations between Fat Mass and Lean Mass with Bone Mineral Density: NHANES Data.

Author: Garvey ME, Shi L, Gona PN, Troped PJ, and Camhi SM
Subjects: Absorptiometry, Photon, Adult, Body Composition, Cross-Sectional Studies, Female, Humans, Male, Middle Aged, Nutrition Surveys, Bone Density, Ethnicity
Abstract: Rising rates of obesity and osteoporosis have public health implications; hence, understanding the relationships between body composition (fat mass (FM) and lean mass (LM)) and bone mineral density (BMD) is important. The purpose of this study is to investigate these associations in a large representative sample. A cross-sectional analysis was conducted using National Health and Nutrition Examination Survey participants ( n = 1717, age 44.1 ± 14.2 years) who had complete dual energy x-ray absorptiometry (total BMD g/cm 2 , FM kg, and LM kg) and covariate data. Hierarchical linear regression models were fitted, controlling for demographic and behavioral covariates. Stratum-specific models were fitted by race, sex, and age group. Significant negative associations were found for FM and BMD (β = -0.003) and significant positive associations for LM and BMD (β = 0.007). Stratum-specific analyses by race were consistent between groups, while variations in negative association magnitudes were seen in FM for sex (males β = -0.005 vs. females β = -0.002) and age (under 45 years of age β = -0.005 vs. 45 years and older β = -0.002). Consistent positive linear associations in total and stratum-specified models between LM and BMD could suggest a potential mechanical influence on bone health. The biological mechanisms driving the magnitude variations between FM and BMD by sex and age require more investigation.
Published: 2021
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40. The Health Status of Zimbabwean Immigrants in the US: A Needs Assessment.

Author: Gona CM, Lupafya TH, Zhou-Chidavaenzi N, Mafundikwa E, and Gona PN
Subjects: Cross-Sectional Studies, Health Status, Humans, Needs Assessment, Emigrants and Immigrants, Hypertension epidemiology
Abstract: Many Zimbabwean immigrants have settled in the US in the past 20 years. These immigrants originate from a country highly burdened with HIV and other non-communicable diseases. The health needs of these immigrants are not known. To determine the prevalence of health conditions, and healthcare utilization of Zimbabwean immigrants. A cross-sectional study of 98 Zimbabwean immigrants recruited at religious festivals, completed questionnaires and had blood pressure and weight measurements taken. Three quarters (74.4%) were overweight/obese, 34.7% had hypertension, 79.6% were health insured, 87% had regular PCPs. In the year prior 78.7% had seen a provider, and 25% had utilized the ER for care. Despite regular visits to providers participants, Zimbabwean immigrants utilized the ER more frequently than other populations and had high prevalence of preventable cardiovascular disease risk factors. Providers need to partner with this population to come up culturally appropriate prevention and management interventions.
Published: 2021
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41. Distinct Adaptations of Mitochondrial Dynamics to Electrical Pulse Stimulation in Lean and Severely Obese Primary Myotubes.

Author: Kugler BA, Deng W, Francois B, Anderson M, Hinkley JM, Houmard JA, Gona PN, and Zou K
Subjects: Adaptation, Physiological, Adult, Cells, Cultured, Dynamins metabolism, Female, GTP Phosphohydrolases metabolism, Humans, Insulin metabolism, Mitochondrial Proteins metabolism, Mitophagy, Muscle Contraction, Phosphorylation, Signal Transduction, Electric Stimulation methods, Exercise physiology, Mitochondrial Dynamics, Muscle Fibers, Skeletal physiology, Obesity, Morbid physiopathology, Thinness physiopathology
Abstract: Background: Skeletal muscle from lean and obese subjects elicits differential adaptations in response to exercise/muscle contractions. In order to determine whether obesity alters the adaptations in mitochondrial dynamics in response to exercise/muscle contractions and whether any of these distinct adaptations are linked to alterations in insulin sensitivity, we compared the effects of electrical pulse stimulation (EPS) on mitochondrial network structure and regulatory proteins in mitochondrial dynamics in myotubes from lean humans and humans with severe obesity and evaluated the correlations between these regulatory proteins and insulin signaling., Methods: Myotubes from human skeletal muscle cells obtained from lean humans (body mass index, 23.8 ± 1.67 kg·m-2) and humans with severer obesity (45.5 ± 2.26 kg·m-2; n = 8 per group) were electrically stimulated for 24 h. Four hours after EPS, mitochondrial network structure, protein markers of insulin signaling, and mitochondrial dynamics were assessed., Results: EPS enhanced insulin-stimulated AktSer473 phosphorylation, reduced the number of nonnetworked individual mitochondria, and increased the mitochondrial network size in both groups (P < 0.05). Mitochondrial fusion marker mitofusin 2 was significantly increased in myotubes from the lean subjects (P < 0.05) but reduced in subjects with severe obesity (P < 0.05). In contrast, fission marker dynamin-related protein 1 (Drp1Ser616) was reduced in myotubes from subjects with severe obesity (P < 0.05) but remained unchanged in lean subjects. Reductions in DrpSer616 phosphorylation were correlated with improvements in insulin-stimulated AktSer473 phosphorylation after EPS (r = -0.679, P = 0.004)., Conclusions: Our data demonstrated that EPS induces more fused mitochondrial networks, which are associated with differential adaptations in mitochondrial dynamic processes in myotubes from lean humans and human with severe obesity. It also suggests that improved insulin signaling after muscle contractions may be linked to the reduction in Drp1 activity., (Copyright © 2020 by the American College of Sports Medicine.)
Published: 2021
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42. Depression, Depression Literacy, and Sociodemographic Characteristics of Korean Americans: A Preliminary Investigation.

Author: Bernstein K, Lee YM, Gona PN, Han S, Kim S, and Kim SS
Subjects: Adult, Cross-Sectional Studies, Depression epidemiology, Humans, Marital Status, Mental Health, Asian, Health Literacy
Abstract: Despite the rapid growth in the number of Korean Americans (KAs) and the alarmingly high prevalence of depression in this population, relatively little is known about the impact of depression literacy on KAs' depression. This study investigated the prevalence of depressive symptoms among a community-based sample of KA adults; the associations among socio-demographic characteristics, depression literacy, and depressive symptoms; and predictors related to depressive symptoms. A sample of 600 KAs completed depression and depression literacy scales, as well as socio-demographic questionnaires. Data analyses were conducted to assess the association between depressive symptoms, depression literacy, and the covariates. Forty-five percent of participants showed elevated depressive symptoms. Marital status, attained educational level, perceived mental health, and depression literacy were significant predictors of depressive symptoms. Given the high prevalence of depressive symptoms in this population, future research should investigate the causal relationships of various predictors of depression and depression literacy, which will facilitate the development of culturally-appropriate interventions and policies concerning mental health for KAs, and early mental health screening for them.
Published: 2021
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43. Changes in body mass index, obesity, and overweight in Southern Africa development countries, 1990 to 2019: Findings from the Global Burden of Disease, Injuries, and Risk Factors Study.

Author: Gona PN, Kimokoti RW, Gona CM, Ballout S, Rao SR, Mapoma CC, Lo J, and Mokdad AH
Abstract: Background: High body mass index (BMI) is associated with stroke, ischemic heart disease (IHD), and type 2 diabetes mellitus (T2DM). An epidemiological analysis of the prevalence of high BMI, stroke, IHD, and T2DM was conducted for 16 Southern Africa Development Community (SADC) using Global Burden of Diseases, Injuries, and Risk Factors (GBD) Study data., Methods: GBD obtained data from vital registration, verbal autopsy, and ICD codes. Prevalence of high BMI (≥25 kg/m 2 ), stroke, IHD, and T2DM attributed to high BMI were calculated. Cause of Death Ensemble Model and Spatiotemporal Gaussian regression was used to estimate mortality due to stroke, IHD, and T2DM attributable to high BMI., Results: Obesity in adult females increased 1.54-fold from 12.0% (uncertainty interval [UI]: 11.5-12.4) to 18.5% (17.9-19.0), whereas in adult males, obesity nearly doubled from 4.5 (4.3-4.8) to 8.8 (8.5-9.2). In children, obesity more than doubled in both sexes, and overweight increased by 27.4% in girls and by 37.4% in boys. Mean BMI increased by 0.7 from 22.4 (21.6-23.1) to 23.1 (22.3-24.0) in adult males, and by 1.0 from 23.8 (22.9-24.7) to 24.8 (23.8-25.8) in adult females. South Africa 44.7 (42.5-46.8), Swaziland 33.9 (31.7-36.0) and Lesotho 31.6 (29.8-33.5) had the highest prevalence of obesity in 2019. The corresponding prevalence in males for the three countries were 19.1 (17.5-20.7), 19.3 (17.7-20.8), and 9.2 (8.4-10.1), respectively. The DRC and Madagascar had the least prevalence of adult obesity, from 5.6 (4.8-6.4) and 7.0 (6.1-7.9), respectively in females in 2019, and in males from 4.9 (4.3-5.4) in the DRC to 3.9 (3.4-4.4) in Madagascar., Conclusions: The prevalence of high BMI is high in SADC. Obesity more than doubled in adults and nearly doubled in children. The 2019 mean BMI for adult females in seven countries exceeded 25 kg/m 2 . SADC countries are unlikely to meet UN2030 SDG targets. Prevalence of high BMI should be studied locally to help reduce morbidity., Competing Interests: All authors report no conflict of interest, (© 2021 The Authors. Obesity Science & Practice published by World Obesity and The Obesity Society and John Wiley & Sons Ltd.)
Published: 2021
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44. Determining Optimal Cutoffs for Exhaled Carbon Monoxide and Salivary Cotinine to Identify Smokers among Korean Americans in a Smoking Cessation Clinical Trial.

Author: Kim SS, Kim S, and Gona PN
Abstract: Introduction: It is critical to accurately identify individuals who continue to smoke even after treatment, as this may prompt the use of more intensive and effective treatment strategies to help them attain complete abstinence., Aims: This study examined optimal cutoffs for exhaled carbon monoxide (CO) and salivary cotinine to identify smokers among Korean Americans in a smoking cessation clinical trial., Methods: CO and cotinine were measured three to four times over 12 months from the quit day. Statistical analysis was conducted using Receiver Operating Characteristic (ROC) curves., Results: A CO cutoff of 5 parts per million provided robust sensitivity (80.8-98.3%) and perfect specificity (100%), and a salivary cotinine cutoff of level 2 (30-100 ng/ml) provided the best sensitivity (91.2-95.6%) and perfect specificity (100%). Using these cutoffs, the agreement between self-reports and the two biomarkers ranged from 88.6% to 97.7%. The areas under ROC curves (AUCs) of exhaled CO ranged from 0.90 to 0.99, all of which were significant (all p values < 0.001), and the AUCs of salivary cotinine ranged from 0.96 to 0.98 (all p values < 0.001)., Conclusion: Exhaled CO and salivary cotinine are complementary, and they should be used together to verify smoking abstinence for smokers in a clinical trial., Competing Interests: The authors declare that they have no conflicts of interest., (Copyright © 2021 Sun S. Kim et al.)
Published: 2021
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45. Intersection of HIV and Anemia in women of reproductive age: a 10-year analysis of three Zimbabwe demographic health surveys, 2005-2015.

Author: Gona PN, Gona CM, Chikwasha V, Haruzivishe C, Mapoma CC, and Rao SR
Subjects: Adolescent, Adult, Child, Cross-Sectional Studies, Female, Health Surveys, Hemoglobins analysis, Humans, Middle Aged, Pregnancy, Prevalence, Young Adult, Zimbabwe epidemiology, Anemia epidemiology, Anemia, Iron-Deficiency epidemiology, HIV Infections epidemiology
Abstract: Background: Women of reproductive age 15-49 are at a high risk of iron-deficiency anemia, which in turn may contribute to maternal morbidity and mortality. Common causes of anemia include poor nutrition, infections, malaria, HIV, and treatments for HIV. We conducted a secondary analysis to study the prevalence of and associated risk factors for anemia in women to elucidate the intersection of HIV and anemia using data from 3 cycles of Zimbabwe Demographic and Health Survey (ZDHS) conducted in 2005, 2010, and 2015., Methods: DHS design comprises of a two-stage cluster-sampling to monitor and evaluate indicators for population health. A field hemoglobin test was conducted in eligible women. Anemia was defined as hemoglobin < 11.0 g/dL in pregnant women; < 12.0 in nonpregnant women. Chi-squared test and multivariable logistic regression analysis accounting for complex survey design were used to determine the prevalence and risk factors associated with anemia., Results: Prevalence (95% confidence interval (CI)) of anemia was 37.8(35.9-39.7), 28.2(26.9-29.5), 27.8(26.5-29.1) in 2005, 2010, and 2015, respectively. Approximately 9.4, 7.2, and 6.1%, of women had moderate anemia; (Hgb 7-9.9) while 1.0, 0.7, and 0.6% of women had severe anemia (Hgb < 7 g/dL)), in 2005, 2010, and 2015, respectively. Risk factors associated with anemia included HIV (HIV+: 2005: OR (95% CI) = 2.40(2.03-2.74), 2010: 2.35(1.99-2.77), and 2015: 2.48(2.18-2.83)]; Residence in 2005 and 2010 [(2005: 1.33(1.08-1.65), 2010: 1.26(1.03-1.53)]; Pregnant or breastfeeding women [2005: 1.31(1.16-1.47), 2010: 1.23(1.09-1.34)]; not taking iron supplementation [2005: 1.17(1.03-1.33), 2010: 1.23(1.09-1.40), and2015: 1.24(1.08-1.42)]. Masvingo, Matebeleland South, and Bulawayo provinces had the highest burden of anemia across the three DHS Cycles. Manicaland and Mashonaland East had the lowest burden., Conclusion: The prevalence of anemia in Zimbabwe declined between 2005 and 2015 but provinces of Matebeleland South and Bulawayo were hot spots with little or no change HIV positive women had higher prevalence than HIV negative women. The multidimensional causes and drivers of anemia in women require an integrated approach to help ameliorate anemia and its negative health effects on the women's health. Prevention strategies such as promoting iron-rich food and food fortification, providing universal iron supplementation targeting lowveld provinces and women with HIV, pregnant or breastfeeding are required.
Published: 2021
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46. Oral rehydration solution coverage in under 5 children with diarrhea: a tri-country, subnational, cross-sectional comparative analysis of two demographic health surveys cycles.

Author: Gona PN, Gona CM, Chikwasha V, Haruzivishe C, Rao SR, and Mapoma CC
Subjects: Administration, Oral, Child, Preschool, Cross-Sectional Studies, Diarrhea epidemiology, Female, Health Care Surveys, Humans, Infant, Infant, Newborn, Malawi epidemiology, Male, Rehydration Solutions administration & dosage, Zambia epidemiology, Zimbabwe epidemiology, Diarrhea therapy, Fluid Therapy statistics & numerical data, Rehydration Solutions therapeutic use
Abstract: Background: More than 3 million children under 5 years in developing countries die from dehydration due to diarrhea, a preventable and treatable disease. We conducted a comparative analysis of two Demographic Health Survey (DHS) cycles to examine changes in ORS coverage in Zimbabwe, Zambia and Malawi. These surveys are cross-sectional conducted on a representative sample of the non-institutionalized individuals., Methods: The sample is drawn using a stratified two-stage cluster sampling design with census enumeration areas, typically, selected first as primary sampling units (PSUs) and then a fixed number of households from each PSU. We examined national and sub-regional prevalence of ORS use during a recent episode of diarrhea (within 2 weeks of survey) using DHSs for 2007-2010 (1st Period), and 2013-2016 (2nd Period). Weighted proportions of ORS were obtained and multivariable- design-adjusted logistic regression analysis was used to obtain Odds Ratios (aORs) and 95% confidence intervals (CIs) and weighted proportions of ORS coverage., Results: Crude ORS coverage increased from 21.0% (95% CI: 17.4-24.9) in 1st Period to 40.5% (36.5-44.6) in 2nd Period in Zimbabwe; increased from 60.8% (56.1-65.3) to 64.7% (61.8-67.5) in Zambia; and decreased from 72.3% (68.4-75.9) to 64.6% (60.9-68.1) in Malawi. The rates of change in coverage among provinces in Zimbabwe ranged from 10.3% over the three cycles (approximately 10 years) in Midlands to 44.2% in Matabeleland South; in Zambia from - 9.5% in Eastern Province to 24.4% in Luapula; and in Malawi from - 16.5% in the Northern Province to - 3.2% in Southern Province. The aORs for ORS use was 3.95(2.66-5.86) for Zimbabwe, 2.83 (2.35-3.40) for Zambia, and, 0.71(0.59-0.87) for Malawi., Conclusion: ORS coverage increased in Zimbabwe, stagnated in Zambia, but declined in Malawi. Monitoring national and province-level trends of ORS use illuminates geographic inequalities and helps identify priority areas for targeting resource allocation.. Provision of safe drinking-water, adequate sanitation and hygiene will help reduce the causes and the incidence of diarrhea. Health policies to strengthen access to appropriate treatments such as vaccines for rotavirus and cholera and promoting use of ORS to reduce the burden of diarrhea should be developed and implemented.
Published: 2020
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47. Validity and reliability of a Chinese rating of perceived exertion scale in young Mandarin speaking adults.

Author: Ding W, You T, Gona PN, and Milliken LA
Abstract: Background: The validity and reliability of the Borg 6-20 rating of perceived exertion (RPE) scale has not been tested among Chinese people from Mainland China. The purpose of this study was to test: 1) The validity of Leung Chinese version and Wang Chinese version of the Borg 6-20 RPE scale; 2) The reliability of Wang Chinese version RPE scale; and 3) The agreement of these two Chinese versions of the RPE scale among young healthy adults from Mainland China., Methods: A total of 26 subjects (11 males, 15 females; age 22.7 ± 3.0 yrs) volunteered to participate. They performed one ( n  = 3), two ( n  = 14), or three trials ( n  = 9) of the Bruce treadmill protocol test within 9.0 ± 5.1 days (validation trials), and 30.4 ± 27.9 days (reliability trials). Power output, heart rate, oxygen consumption, and RPE were recorded., Results: RPE was significantly correlated with power output (Leung version rs  ≥ 0.75, Wang version rs  ≥ 0.73), heart rate (HR) (Leung version rs  ≥ 0.84, Wang version rs   ≥ 0.87), and oxygen consumption (VO 2 ) (Leung version rs   ≥ 0.80, Wang version rs  ≥ 0.81) (all p  < 0.01). The overall test-retest interclass correlation was 0.94 ( p  < 0.01). No significant differences in correlations (RPE against power output, HR and VO 2 ) between trials existed for the reliability tests of Wang version scale. No significant differences in correlations (RPE against power output, HR and VO 2 ) between the two Chinese versions of RPE scale existed., Conclusion: Both Chinese RPE scales are valid among young healthy Chinese mandarin speaking adults. The Wang scale is reliable, and the Leung and Wang scales show superior agreement with each other., Competing Interests: We wish to confirm that there are no known conflicts of interest associated with this publication and there has been no significant financial support for this work that could have influenced its outcome., (© 2020 Chengdu Sport University. Production and hosting by Elsevier B.V. on behalf of KeAi.)
Published: 2020
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48. Temporal Trends and Familial Clustering of Ideal Cardiovascular Health in Parents and Offspring Over the Life Course: An Investigation Using The Framingham Heart Study.

Author: Muchira JM, Gona PN, Mogos MF, Stuart-Shor E, Leveille SG, Piano MR, and Hayman LL
Subjects: Adult, Biomarkers blood, Blood Glucose analysis, Blood Pressure, Body Mass Index, Cardiovascular Diseases diagnosis, Cardiovascular Diseases prevention & control, Cholesterol blood, Cluster Analysis, Cross-Sectional Studies, Female, Heart Disease Risk Factors, Humans, Male, Massachusetts epidemiology, Middle Aged, Non-Smokers, Protective Factors, Risk Assessment, Time Factors, Adult Children, Cardiovascular Diseases epidemiology, Health Status, Parents
Abstract: Background Evidence suggests familial aggregation and intergenerational associations for individual cardiovascular health (CVH) metrics. Over a 53-year life course, we examined trends and association of CVH between parents and their offspring at similar mean ages. Methods and Results We conducted a series of cross-sectional analyses of the FHS (Framingham Heart Study). Parent-offspring pairs were assessed at exams where their mean age distributions were similar. Ideal CVH was defined using 5 CVH metrics: blood pressure (<120/<80 mm Hg), fasting blood glucose (<100 mg/dL), blood cholesterol (<200 mg/dL), body mass index (<25 kg/m 2 ), and non-smoking. Joinpoint regression and Chi-squared test were used to assess linear trend; proportional-odds regression was used to examine the association between parents and offspring CVH. A total of 2637 parents were paired with 3119 biological offspring throughout 6 exam cycles. Similar patterns of declining ideal CVH with advancing age were observed in parents and offspring. Small proportions of parents (4%) and offspring (17%) achieved 5 CVH metrics at ideal levels ( P -trend <0.001). Offspring of parents with poor CVH had more than twice the odds of having poor CVH (pooled odds ratio, 2.59; 95% CI, 1.98-3.40). Over time, elevated glucose levels and obesity doubled among the offspring and were the main drivers for declining ideal CVH trends. Conclusions Parental CVH was positively associated with offspring CVH. However, intergenerational CVH gains from declining smoking rates, cholesterol, and blood pressure were offset by rising offspring obesity and elevated glucose levels. This suggests an intergenerational phenotypic shift of risk factors and the need for a family-centered approach to cardiovascular care.
Published: 2020
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49. Burden and changes in HIV/AIDS morbidity and mortality in Southern Africa Development Community Countries, 1990-2017.

Author: Gona PN, Gona CM, Ballout S, Rao SR, Kimokoti R, Mapoma CC, and Mokdad AH
Subjects: Adult, Africa, Southern epidemiology, Aged, Cause of Death, Child, Female, HIV, Humans, Life Expectancy, Male, Middle Aged, Prevalence, Quality-Adjusted Life Years, Risk Factors, Young Adult, Epidemics statistics & numerical data, Global Burden of Disease statistics & numerical data, HIV Infections mortality
Abstract: Background: The 16 Southern Africa Development Community (SADC) countries remain the epicentre of the HIV/AIDS epidemic with the largest number of people living with HIV/AIDS. Anti-retroviral treatment (ART) has improved survival and prevention of mother-to-child transmission (PMTCT) of HIV, but the disease remains a serious cause of mortality. We conducted a descriptive epidemiological analysis of HIV/AIDS burden for the 16 SADC countries using secondary data from the Global Burden of Diseases, Injuries and Risk Factor (GBD) Study., Methods: The GBD study is a systematic, scientific effort by the Institute for Health Metrics and Evaluation (IHME) to quantify the comparative magnitude of health loss due to diseases, injuries, and risk factors by age, sex, and geographies for specific points in time. We analyzed the following outcomes: mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) due to HIV/AIDS for SADC. Input data for GBD was extracted from censuses, household surveys, civil registration and vital statistics, disease registries, health service utilisation, disease notifications, and other sources. Country- and cause-specific HIV/AIDS-related death rates were calculated using the Cause of Death Ensemble model (CODEm) and spatiotemporal Gaussian process regression (ST-GPR). Deaths were multiplied by standard life expectancy at each age-group to calculate YLLs. Cause-specific mortality was estimated using a Bayesian meta-regression modelling tool, DisMod-MR. Prevalence estimates were multiplied by disability weights for mutually exclusive sequelae of diseases to calculate YLDs. Crude and age-adjusted rates per 100,000 population and changes between 1990 and 2017 were determined for each country., Results: In 2017, HIV/AIDS caused 336,175 deaths overall in SADC countries, and more than 20 million DALYs. This corresponds to a 3-fold increase from 113,631 deaths (6,915,170 DALYs) in 1990. The five leading countries with the proportion of deaths attributable to HIV/AIDS in 2017 were Botswana at the top with 28.7% (95% UI; 23.7-35.2), followed by South Africa 28.5% (25.8-31.6), Lesotho, 25.1% (21.2-30.4), eSwatini 24.8% (21.3-28.6), and Mozambique 24.2% (20.6-29.3). The five countries had relative attributable deaths that were at least 14 times greater than the global burden of 1.7% (1.6-1.8). Similar patterns were observed with YLDs, YLLs, and DALYs. Comoros, Seychelles and Mauritius were on the lower end, with attributable proportions less than 1%, below the global proportion., Conclusions: Great progress in reducing HIV/AIDS burden has been achieved since the peak but more needs to be done. The post-2005 decline is attributed to PMTCT of HIV, resources provided through the US President's Emergency Plan For AIDS Relief (PEPFAR), and behavioural change. The five countries with the highest burden of HIV/AIDS as measured by proportion of death attributed to HIV/AIDS and age-standardized mortaility rate were Botswana, South Africa, Lesotho, eSwatini, and Mozambique. SADC countries should cooperate, work with donors, and embrace the UN Fast-Track approach, which calls for frontloading investment from domestic or other sources to prevent and treat HIV/AIDS. Robust tracking, testing, and early treatment are required, as well as refinement of individual treatment strategies for transient individuals in the region.
Published: 2020
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50. Roux-en-Y gastric bypass surgery restores insulin-mediated glucose partitioning and mitochondrial dynamics in primary myotubes from severely obese humans.

Author: Kugler BA, Gundersen AE, Li J, Deng W, Eugene N, Gona PN, Houmard JA, and Zou K
Subjects: Adult, Cells, Cultured, Female, Humans, Muscle Fibers, Skeletal cytology, Muscle Fibers, Skeletal metabolism, Young Adult, Blood Glucose physiology, Gastric Bypass, Insulin metabolism, Mitochondrial Dynamics physiology, Obesity, Morbid metabolism, Obesity, Morbid surgery
Abstract: Background/objectives: Impaired insulin-mediated glucose partitioning is an intrinsic metabolic defect in skeletal muscle from severely obese humans (BMI ≥ 40 kg/m 2 ). Roux-en-Y gastric bypass (RYGB) surgery has been shown to improve glucose metabolism in severely obese humans. The purpose of the study was to determine the effects of RYGB surgery on glucose partitioning, mitochondrial network morphology, and the markers of mitochondrial dynamics skeletal muscle from severely obese humans., Subject/methods: Human skeletal muscle cells were isolated from muscle biopsies obtained from RYGB patients (BMI = 48.0 ± 2.1, n = 7) prior to, 1 month and 7 months following surgery and lean control subjects (BMI = 22.4 ± 1.1, n = 7). Complete glucose oxidation, non-oxidized glycolysis rates, mitochondrial respiratory capacity, mitochondrial network morphology, and the regulatory proteins of mitochondrial dynamics were determined in differentiated human myotubes., Results: Myotubes derived from severely obese humans exhibited enhanced glucose oxidation (13.5%; 95% CI [7.6, 19.4], P = 0.043) and reduced non-oxidized glycolysis (-1.3%; 95% CI [-11.1, 8.6]) in response to insulin stimulation at 7 months after RYGB when compared with the presurgery state (-0.6%; 95% CI [-5.2, 4.0] and 19.5%; 95% CI [4.0, 35.0], P = 0.006), and were not different from the lean controls (16.7%; 95% CI [11.8, 21.5] and 1.9%; 95% CI [-1.6, 5.4], respectively). Further, the number of fragmented mitochondria and Drp1(Ser 616 ) phosphorylation were trended to reduce/reduced (0.0104, 95% CI [0.0085, 0.0126], P = 0.091 and 0.0085, 95% CI [0.0068, 0.0102], P = 0.05) in myotubes derived from severely obese humans at 7 months after RYGB surgery in comparison with the presurgery state. Finally, Drp1(Ser 616 ) phosphorylation was negatively correlated with insulin-stimulated glucose oxidation (r = -0.49, P = 0.037)., Conclusion/interpretation: These data indicate that an intrinsic metabolic defect of glucose partitioning in skeletal muscle from severely obese humans is restored by RYGB surgery. The restoration of glucose partitioning may be regulated through reduced mitochondrial fission protein Drp1 phosphorylation.
Published: 2020
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