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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. Importance of Green Technology in Fertilizer Quality Improvement

Author: Mathur, Mr. Avdhesh, Dias, Ms. Fernanda, and Mathur, Mr Prakash
Published: 2016
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3. ROLE OF N-TERMINAL PRO-B-TYPE NATRIURETIC PEPTIDE (NT-PROBNP) AS A PROGNOSTIC MARKER FOR THE PATIENTS OF ACUTE BREATHLESSNESS IN THE EMERGENCY DEPARTMENT (ED)

Author: Dina J Shah Dr, Ajit K Mathur Mr, Nalini Bala Pandey Dr, and Parneesh Arora Dr
Subjects: 03 medical and health sciences, medicine.medical_specialty, 0302 clinical medicine, business.industry, Internal medicine, Medicine, 030212 general & internal medicine, N terminal pro b type natriuretic peptide, Emergency department, 030204 cardiovascular system & hematology, business, Gastroenterology
Abstract: Background: Utility of N-terminal pro B-type natriuretic peptide (NT-proBNP) in the emergency department (ED) as a prognostic marker for acute breathlessness. Methods: An observational study was conducted on 241 patients presenting to ED with acute breathlessness. NT-proBNP levels were measured and patients were divided into two groups as per NT-proBNP measurement: Group-1(high) and Group-2(normal) as per agerelated pre-determined cut-offs. Primary outcomes including Length of stay (LOS), intervention and death were recorded and compared. th Secondary outcome in terms of readmission and death was done on the 30 day. Statistical analysis was done using univariate analysis and multivariate logistic regression. ROC curve analysis was performed for optimal cut-off for mortality within 30 days. Out of 241 patients, Results: 170 (71%) patients had high NT-proBNP levels. Group-1 had high LOS (7.0 day compared to 4.5 days, p=0.002), increased ICU admission (OR=77, 95 % CI : 8.2-162.4, p=0.0001), increased requirement of ventilator (OR=3, 95 % CI :1.3-7.1, p=0.002) noninvasive ventilator (OR=4.7, 95 % CI :2.2-9.2, p=0.0001) and dialysis (OR=8.1, 95 % CI : 1.1-160, p=0.016). Logistic regression also conrmed that NT-proBNP is a good predictor for increase death within 30 days (OR=2.80, 95 % CI : 1.2, 6.4, p=0.015) and increase LOS ≥7 days (OR=2.3, 95 % CI : 1.2-4.4, p=0.012) after adjustment for patient age, sex and underlying co-morbidities. For predicting mortality within 30 days, its cut-off values in Receiver operating characteristics (ROC) curve was 1655pg/ml (Sensitivity: 72%, Specicity:48.0%, AUCs: 62.5%, p=0.006). NT-proBNP levels are a Conclusion: rapid and good predictor of morbidity and mortality within 30 days. A single determination of the NT-proBNP level was sufcient to identify high risk patients with a poor prognosis at the time of admission in the ED.
Published: 2021
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4. 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

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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

5. The global burden of cancer attributable to risk factors, 2010-19: a systematic analysis for the Global Burden of Disease Study 2019

Author: Khanh, BT, Lang, JJ, Compton, K, Xu, R, Acheson, AR, Henrikson, HJ, Kocarnik, JM, Penberthy, L, Aali, A, Abbas, Q, Abbasi, B, Abbasi-Kangevari, M, Abbasi-Kangevari, Z, Abbastabar, H, Abdelmasseh, M, Abd-Elsalam, S, Abdelwahab, AA, Abdoli, G, Abdulkadir, HA, Abedi, A, Abegaz, KH, Abidi, H, Aboagye, RG, Abolhassani, H, Absalan, A, Abtew, YD, Ali, HA, Abu-Gharbieh, E, Achappa, B, Acuna, JM, Addison, D, Addo, IY, Adegboye, OA, Adesina, MA, Adnan, M, Adnani, QES, Advani, SM, Afrin, S, Afzal, MS, Aggarwal, M, Ahinkorah, BO, Ahmad, AR, Ahmad, R, Ahmad, S, Ahmadi, S, Ahmed, H, Ahmed, LA, Ahmed, MB, Rashid, TA, Aiman, W, Ajami, M, Akalu, GT, Akbarzadeh-Khiavi, M, Aklilu, A, Akonde, M, Akunna, CJ, Al Hamad, H, Alahdab, F, Alanezi, FM, Alanzi, TM, Alessy, SA, Algammal, AM, Al-Hanawi, MK, Alhassan, RK, Ali, BA, Ali, L, Ali, SS, Alimohamadi, Y, Alipour, V, Aljunid, SM, Alkhayyat, M, Al-Maweri, SAA, Almustanyir, S, Alonso, N, Alqalyoobi, S, Al-Raddadi, RM, Al-Rifai, RHH, Al-Sabah, SK, Al-Tammemi, AB, Altawalah, H, Alvis-Guzman, N, Amare, F, Ameyaw, EK, Dehkordi, JJA, Amirzade-Iranaq, MH, Amu, H, Amusa, GA, Ancuceanu, R, Anderson, JA, Animut, YA, Anoushiravani, A, Anoushirvani, AA, Ansari-Moghaddam, A, Ansha, MG, Antony, B, Antwi, MH, Anwar, SL, Anwer, R, Anyasodor, AE, Arabloo, J, Arab-Zozani, M, Aremu, O, Argaw, AM, Ariffin, H, Aripov, T, Arshad, M, Al, A, Arulappan, J, Aruleba, RT, Aryannejad, A, Asaad, M, Asemahagn, MA, Asemi, Z, Asghari-Jafarabadi, M, Ashraf, T, Assadi, R, Athar, M, Athari, SS, Null, MMWA, Attia, S, Aujayeb, A, Ausloos, M, Avila-Burgos, L, Awedew, AF, Awoke, MA, Awoke, T, Quintanilla, BPA, Ayana, TM, Ayen, SS, Azadi, D, Null, SA, Azami-Aghdash, S, Azanaw, MM, Azangou-Khyavy, M, Jafari, AA, Azizi, H, Azzam, AYY, Babajani, A, Badar, M, Badiye, AD, Baghcheghi, N, Bagheri, N, Bagherieh, S, Bahadory, S, Baig, AA, Baker, JL, Bakhtiari, A, Bakshi, RK, Banach, M, Banerjee, I, Bardhan, M, Barone-Adesi, F, Barra, F, Barrow, A, Bashir, NZ, Bashiri, A, 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Abstract: BACKGROUND: Understanding the magnitude of cancer burden attributable to potentially modifiable risk factors is crucial for development of effective prevention and mitigation strategies. We analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 to inform cancer control planning efforts globally. METHODS: The GBD 2019 comparative risk assessment framework was used to estimate cancer burden attributable to behavioural, environmental and occupational, and metabolic risk factors. A total of 82 risk-outcome pairs were included on the basis of the World Cancer Research Fund criteria. Estimated cancer deaths and disability-adjusted life-years (DALYs) in 2019 and change in these measures between 2010 and 2019 are presented. FINDINGS: Globally, in 2019, the risk factors included in this analysis accounted for 4·45 million (95% uncertainty interval 4·01-4·94) deaths and 105 million (95·0-116) DALYs for both sexes combined, representing 44·4% (41·3-48·4) of all cancer deaths and 42·0% (39·1-45·6) of all DALYs. There were 2·88 million (2·60-3·18) risk-attributable cancer deaths in males (50·6% [47·8-54·1] of all male cancer deaths) and 1·58 million (1·36-1·84) risk-attributable cancer deaths in females (36·3% [32·5-41·3] of all female cancer deaths). The leading risk factors at the most detailed level globally for risk-attributable cancer deaths and DALYs in 2019 for both sexes combined were smoking, followed by alcohol use and high BMI. Risk-attributable cancer burden varied by world region and Socio-demographic Index (SDI), with smoking, unsafe sex, and alcohol use being the three leading risk factors for risk-attributable cancer DALYs in low SDI locations in 2019, whereas DALYs in high SDI locations mirrored the top three global risk factor rankings. From 2010 to 2019, global risk-attributable cancer deaths increased by 20·4% (12·6-28·4) and DALYs by 16·8% (8·8-25·0), with the greatest percentage increase in metabolic risks (34·7% [2
Published: 2022

6. The global burden of adolescent and young adult cancer in 2019: a systematic analysis for the Global Burden of Disease Study 2019

Author: Alvarez, EM, Force, LM, Xu, R, Compton, K, Lu, D, Henrikson, HJ, Kocarnik, JM, Harvey, JD, Pennini, A, Dean, FE, Fu, W, Vargas, MT, Keegan, THM, Ariffin, H, Barr, RD, Erdomaeva, YA, Gunasekera, DS, John-Akinola, YO, Ketterl, TG, Kutluk, T, Malogolowkin, MH, Mathur, P, Radhakrishnan, V, Ries, LAG, Rodriguez-Galindo, C, Sagoyan, GB, Sultan, I, Abbasi, B, Abbasi-Kangevari, M, Abbasi-Kangevari, Z, Abbastabar, H, Abdelmasseh, M, Abd-Elsalam, S, Abdoli, A, Abebe, H, Abedi, A, Abidi, H, Abolhassani, H, Ali, HA, Abu-Gharbieh, E, Achappa, B, Acuna, JM, Adedeji, IA, Adegboye, OA, Adnani, QES, Advani, SM, Afzal, MS, Meybodi, MA, Ahadinezhad, B, Ahinkorah, BO, Ahmad, S, Ahmadi, S, Ahmed, MB, Rashid, TA, Salih, YA, Aiman, W, Akalu, GT, Al Hamad, H, Alahdab, F, AlAmodi, AA, Alanezi, FM, Alanzi, TM, Alem, AZ, Alem, DT, Alemayehu, Y, Alhalaiqa, FN, Alhassan, RK, Ali, S, Alicandro, G, Alipour, V, Aljunid, SM, Alkhayyat, M, Alluri, S, Almasri, NA, Al-Maweri, SA, Almustanyir, S, Al-Raddadi, RM, Alvis-Guzman, N, Ameyaw, EK, Amini, S, Amu, H, Ancuceanu, R, Andrei, CL, Andrei, T, Ansari, F, Ansari-Moghaddam, A, Anvari, D, Anyasodor, AE, Arabloo, J, Arab-Zozani, M, Argaw, AM, Arshad, M, Arulappan, J, Aryannejad, A, Asemi, Z, Jafarabadi, MA, Atashzar, MR, Atorkey, P, Atreya, A, Attia, S, Aujayeb, A, Ausloos, M, Avila-Burgos, L, Awedew, AF, Quintanilla, BPA, Ayele, AD, Ayen, SS, Azab, MA, Azadnajafabad, S, Azami, H, Azangou-Khyavy, M, Jafari, AA, Azarian, G, Azzam, AY, Bahadory, S, Bai, J, Baig, AA, Baker, JL, Banach, M, Barnighausen, TW, Barone-Adesi, F, Barra, F, Barrow, A, Basaleem, H, Batiha, A-MM, Behzadifar, M, Bekele, NC, Belete, R, Belgaumi, UI, Bell, AW, Berhie, AY, Bhagat, DS, Bhagavathula, AS, Bhardwaj, N, Bhardwaj, P, Bhaskar, S, Bhattacharyya, K, Bhojaraja, VS, Bibi, S, Bijani, A, Biondi, A, Birara, S, Bjorge, T, Bolarinwa, OA, Bolla, SR, Boloor, A, Braithwaite, D, Brenner, H, Bulamu, NB, Burkart, K, Bustamante-Teixeira, MT, Butt, NS, Butt, ZA, dos Santos, FLC, Cao, C, 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Shobeiri, P, Siabani, S, Sibhat, MM, Malleshappa, SKS, Sidemo, NB, Silva, DAS, Julian, GS, Singh, AD, Singh, JA, Singh, JK, Singh, S, Sinke, AH, Sintayehu, Y, Skryabin, VY, Skryabina, AA, Smith, L, Sofi-Mahmudi, A, Soltani-Zangbar, MS, Song, S, Spurlock, EE, Steiropoulos, P, Straif, K, Subedi, R, Sufiyan, MB, Abdulkader, RS, Sultana, S, Szerencses, V, Szocska, M, Tabaeian, SP, Tabaras-Seisdedos, R, Tabary, M, Tabuchi, T, Tadbiri, H, Taheri, M, Taherkhani, A, Takahashi, K, Tampa, M, Tan, K-K, Tat, VY, Tavakoli, A, Tbakhi, A, Tehrani-Banihashemi, A, Temsah, M-H, Tesfay, FH, Tesfaye, B, Thakur, JS, Thapar, R, Thavamani, A, Thiyagarajan, A, Thomas, N, Tobe-Gai, R, Togtmol, M, Tohidast, SA, Tohidinik, HR, Tolani, MA, Tollosa, DN, Touvier, M, Tovani-Palone, MR, Traini, E, Bach, XT, Mai, TNT, Tripathy, JP, Tusa, BS, Ukke, GG, Ullah, I, Ullah, S, Umapathi, KK, Unnikrishnan, B, Upadhyay, E, Ushula, TW, Vacante, M, Tahbaz, SV, Varthya, SB, Veroux, M, Villeneuve, PJ, Violante, FS, Vlassov, V, Giang, TV, Waheed, Y, Wang, N, Ward, P, Weldesenbet, AB, Wen, YF, Westerman, R, Winkler, AS, Wubishet, BL, Xu, S, Jabbari, SHY, Yang, L, Yaya, S, Yazdi-Feyzabadi, V, Yazie, TS, Yehualashet, SS, Yeshaneh, A, Yeshaw, Y, Yirdaw, BW, Yonemoto, N, Younis, MZ, Yousefi, Z, Yu, C, Yunusa, I, Zadnik, V, Zahir, M, Moghadam, TZ, Zamani, M, Zamanian, M, Zandian, H, Zare, F, Zastrozhin, MS, Zastrozhina, A, Zhang, J, Zhang, Z-J, Ziapour, A, Zoladl, M, Murray, CJL, Fitzmaurice, C, Bleyer, A, Bhakta, N, and Gebremeskel, TG
Abstract: BACKGROUND: In estimating the global burden of cancer, adolescents and young adults with cancer are often overlooked, despite being a distinct subgroup with unique epidemiology, clinical care needs, and societal impact. Comprehensive estimates of the global cancer burden in adolescents and young adults (aged 15-39 years) are lacking. To address this gap, we analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, with a focus on the outcome of disability-adjusted life-years (DALYs), to inform global cancer control measures in adolescents and young adults. METHODS: Using the GBD 2019 methodology, international mortality data were collected from vital registration systems, verbal autopsies, and population-based cancer registry inputs modelled with mortality-to-incidence ratios (MIRs). Incidence was computed with mortality estimates and corresponding MIRs. Prevalence estimates were calculated using modelled survival and multiplied by disability weights to obtain years lived with disability (YLDs). Years of life lost (YLLs) were calculated as age-specific cancer deaths multiplied by the standard life expectancy at the age of death. The main outcome was DALYs (the sum of YLLs and YLDs). Estimates were presented globally and by Socio-demographic Index (SDI) quintiles (countries ranked and divided into five equal SDI groups), and all estimates were presented with corresponding 95% uncertainty intervals (UIs). For this analysis, we used the age range of 15-39 years to define adolescents and young adults. FINDINGS: There were 1·19 million (95% UI 1·11-1·28) incident cancer cases and 396 000 (370 000-425 000) deaths due to cancer among people aged 15-39 years worldwide in 2019. The highest age-standardised incidence rates occurred in high SDI (59·6 [54·5-65·7] per 100 000 person-years) and high-middle SDI countries (53·2 [48·8-57·9] per 100 000 person-years), while the highest age-standardised mortality rates were in low-middle SDI (14
Published: 2022

7. Spatial, temporal, and demographic patterns in prevalence of smoking tobacco use and attributable disease burden in 204 countries and territories, 1990-2019: a systematic analysis from the Global Burden of Disease Study 2019

Author: Reitsma, MB, Kendrick, PJ, Ababneh, E, Abbafati, C, Abbasi-Kangevari, M, Abdoli, A, Abedi, A, Abhilash, ES, Abila, DB, Aboyans, V, Abu-Rmeileh, NME, Adebayo, OM, Advani, SM, Aghaali, M, Ahinkorah, BO, Ahmad, S, Ahmadi, K, Ahmed, H, Aji, B, Akunna, CJ, Al-Aly, Z, Alanzi, TM, Alhabib, KF, Ali, L, Alif, SM, Alipour, V, Aljunid, SM, Alla, F, Allebeck, P, Alvis-Guzman, N, Amin, TT, Amini, S, Amu, H, Amul, GGH, Ancuceanu, R, Anderson, JA, Ansari-Moghaddam, A, Antonio, CAT, Antony, B, Anvari, D, Arabloo, J, Arian, ND, Arora, M, Asaad, M, Ausloos, M, Awan, AT, Ayano, G, Aynalem, GL, Azari, S, Darshan, BB, Badiye, AD, Baig, AA, Bakhshaei, MH, Banach, M, Banik, PC, Barker-Collo, SL, Barnighausen, TW, Barqawi, HJ, Basu, S, Bayati, M, Bazargan-Hejazi, S, Behzadifar, M, Bekuma, TT, Bennett, DA, Bensenor, IM, Berfield, KSS, Bhagavathula, AS, Bhardwaj, N, Bhardwaj, P, Bhattacharyya, K, Bibi, S, Bijani, A, Bintoro, BS, Biondi, A, Birara, S, Braithwaite, D, Brenner, H, Brunoni, AR, Burkart, K, Butt, ZA, Caetano dos Santos, FL, Alberto Camera, L, Car, J, Cardenas, R, Carreras, G, Carrero, JJ, Castaldelli-Maia, JM, Cattaruzza, MSS, Chang, J-C, Chen, S, Chu, D-T, Chung, S-C, Cirillo, M, Costa, VM, Couto, RAS, Dadras, O, Dai, X, Damasceno, AAM, Damiani, G, Dandona, L, Dandona, R, Daneshpajouhnejad, P, Gela, JD, Davletov, K, Molla, MD, Dessie, GA, Desta, AA, Dharmaratne, SD, Dianatinasab, M, Diaz, D, Hoa, TD, Douiri, A, Duncan, BB, Duraes, AR, Eagan, AW, Kalan, ME, Edvardsson, K, Elbarazi, I, El Tantawi, M, Esmaeilnejad, S, Fadhil, I, Faraon, EJA, Farinha, CSES, Farwati, M, Farzadfar, F, Fazlzadeh, M, Feigin, VL, Feldman, R, Prendes, CF, Ferrara, P, Filip, I, Filippidis, F, Fischer, F, Flor, LS, Foigt, NA, Folayan, MO, Foroutan, M, Gad, MM, Gaidhane, AM, Gallus, S, Geberemariyam, BS, Ghafourifard, M, Ghajar, A, Ghashghaee, A, Giampaoli, S, Gill, PS, Glozah, FN, Gnedovskaya, EV, Golechha, M, Gopalani, SV, Gorini, G, Goudarzi, H, Goulart, AC, Greaves, F, Guha, A, Guo, Y, Gupta, B, Das Gupta, R, Gupta, R, Gupta, T, Gupta, V, Hafezi-Nejad, N, Haider, MR, Hamadeh, RR, Hankey, GJ, Hargono, A, Hartono, RK, Hassankhani, H, Hay, SI, Heidari, G, Herteliu, C, Hezam, K, Hird, TR, Hole, MK, Holla, R, Hosseinzadeh, M, Hostiuc, S, Househ, M, Hsiao, T, Huang, J, Iannucci, VC, Ibitoye, SE, Idrisov, B, Ilesanmi, OS, Ilic, IM, Ilic, MD, Inbaraj, LR, Irvani, SSN, Islam, JY, Islam, RM, Shariful Islam, Sheikh, Islami, F, Iso, H, Itumalla, R, Iwagami, M, Jaafari, J, Jain, V, Jakovljevic, M, Jang, S-I, Janjani, H, Jayaram, S, Jeemon, P, Jha, RP, Jonas, JB, Joo, T, Jurisson, M, Kabir, A, Kabir, Z, Kalankesh, LR, Kanchan, T, Kandel, H, Kapoor, N, Karimi, SE, Katikireddi, SV, Kebede, HK, Kelkay, B, Kennedy, RD, Khoja, AT, Khubchandani, J, Kim, GR, Kim, Y-E, Kimokoti, RW, Kivimaki, M, Kosen, S, Laxminarayana, SLK, Koyanagi, A, Krishan, K, Kugbey, N, Kumar, GA, Kumar, N, Kurmi, OP, Kusuma, D, Lacey, B, Lam, JO, Landires, I, Lasrado, S, Lauriola, P, Lee, DW, Lee, YH, Leung, J, Li, S, Lin, H, Linn, S, Liu, W, Lopez, AD, Lopukhov, PD, Lorkowski, S, Lugo, A, Majeed, A, Maleki, A, Malekzadeh, R, Malta, DC, Mamun, AA, Manjunatha, N, Mansouri, B, Mansournia, MA, Martinez-Raga, J, Martini, S, Mathur, MR, Medina-Solis, CE, Mehata, S, Mendoza, W, Menezes, RG, Meretoja, A, Meretoja, TJ, Miazgowski, B, Michalek, IM, Miller, TR, Mirrakhimov, EM, Mirzaei, H, Mirzaei-Alavijeh, M, Misra, S, Moghadaszadeh, M, Mohammad, Y, Mohammadian-Hafshejani, A, Mohammed, S, Mokdad, AH, Monasta, L, Moni, MA, Moradi, G, Moradi-Lakeh, M, Moradzadeh, R, Morrison, SD, Mossie, TB, Mubarik, S, Mullany, EC, Murray, CJL, Naghavi, M, Naghshtabrizi, B, Nair, S, Nalini, M, Nangia, V, Naqvi, AA, Swamy, SN, Naveed, M, Nayak, S, Nayak, VC, Nazari, J, Nduaguba, SO, Kandel, SN, Cuong, TN, Huong, LTN, Son, HN, Trang, HN, Nixon, MR, Nnaji, CA, Norrving, B, Noubiap, JJ, Nowak, C, Ogbo, FA, Oguntade, AS, Oh, I-H, Olagunju, AT, Oren, E, Otstavnov, N, Otstavnov, SS, Owolabi, MO, Pakhale, MPAS, Pakshir, K, Palladino, R, Pana, A, Panda-Jonas, S, Pandey, A, Parekh, U, Park, E-C, Park, E-K, Kan, FP, Patton, GC, Pawar, S, Pestell, RG, Pinheiro, M, Piradov, MA, Pirouzpanah, S, Pokhrel, KN, Polibin, RV, Prashant, A, Pribadi, DRA, Radfar, A, Rahimi-Movaghar, V, Rahman, A, Rahman, MHU, Rahman, Muhammad, Rahmani, AM, Rajai, N, Ram, P, Ranabhat, CL, Rathi, P, Rawal, L, Renzaho, AMN, Myriam Reynales-Shigematsu, L, Rezapour, A, Riahi, SM, Riaz, MA, Roever, L, Ronfani, L, Roshandel, G, Roy, A, Roy, B, Sacco, S, Saddik, B, Sahebkar, A, Salehi, S, Salimzadeh, H, Samaei, M, Samy, AM, Santos, IS, Santric-Milicevic, MM, Sarrafzadegan, N, Sathian, B, Sawhney, M, Saylan, M, Schaub, MP, Schmidt, MI, Ceola Schneider, IJ, Schutte, AE, Schwendicke, F, Seidu, A-A, Kumar, NS, Sepanlou, SG, Seylani, A, Shafaat, O, Shah, SM, Shaikh, MA, Shalash, AS, Shannawaz, M, Sharafi, K, Sheikh, A, Sheikhbahaei, S, Shigematsu, M, Shiri, R, Shishani, K, Shivakumar, KM, Shivalli, S, Shrestha, R, Siabani, S, Sidemo, NB, Sigfusdottir, ID, Sigurvinsdottir, R, Santos Silva, DA, Silva, JP, Singh, A, Singh, JA, Singh, V, Sinha, DN, Sitas, F, Skryabin, VY, Skryabina, AA, Soboka, M, Soriano, JB, Soroush, A, Soshnikov, S, Soyiri, IN, Spurlock, EE, Sreeramareddy, CT, Stein, DJ, Steiropoulos, P, Stortecky, S, Straif, K, Abdulkader, RS, Sulo, G, Sundstrom, J, Tabuchi, T, Tadakamadla, SK, Taddele, BW, Tadesse, EG, Tamiru, AT, Tareke, M, Tareque, MI, Tarigan, IU, Temsah, M-H, Thankappan, KR, Thapar, R, Tichopad, A, Tolani, MA, Topouzis, F, Tovani-Palone, MR, Bach, XT, Tripathy, JP, Tsegaye, GW, Tsilimparis, N, Tymeson, HD, Ullah, A, Ullah, S, Unim, B, Updike, RL, Vacante, M, Valdez, PR, Vardavas, C, Varona Perez, P, Vasankari, TJ, Venketasubramanian, N, Verma, M, Vetrova, MV, Bay, V, Giang, TV, Waheed, Y, Wang, Y, Welding, K, Werdecker, A, Whisnant, JL, Wickramasinghe, ND, Yamagishi, K, Yandrapalli, S, Yatsuya, H, Yazdi-Feyzabadi, V, Yeshaw, Y, Yimmer, MZ, Yonemoto, N, Yu, C, Yunusa, I, Yusefzadeh, H, Moghadam, TZ, Zaman, MS, Zamanian, M, Zandian, H, Zar, HJ, Zastrozhin, MS, Zastrozhina, A, Zavala-Arciniega, L, Zhang, J, Zhang, Z-J, Zhong, C, Zuniga, YMH, Gakidou, E, Reitsma, MB, Kendrick, PJ, Ababneh, E, Abbafati, C, Abbasi-Kangevari, M, Abdoli, A, Abedi, A, Abhilash, ES, Abila, DB, Aboyans, V, Abu-Rmeileh, NME, Adebayo, OM, Advani, SM, Aghaali, M, Ahinkorah, BO, Ahmad, S, Ahmadi, K, Ahmed, H, Aji, B, Akunna, CJ, Al-Aly, Z, Alanzi, TM, Alhabib, KF, Ali, L, Alif, SM, Alipour, V, Aljunid, SM, Alla, F, Allebeck, P, Alvis-Guzman, N, Amin, TT, Amini, S, Amu, H, Amul, GGH, Ancuceanu, R, Anderson, JA, Ansari-Moghaddam, A, Antonio, CAT, Antony, B, Anvari, D, Arabloo, J, Arian, ND, Arora, M, Asaad, M, Ausloos, M, Awan, AT, Ayano, G, Aynalem, GL, Azari, S, Darshan, BB, Badiye, AD, Baig, AA, Bakhshaei, MH, Banach, M, Banik, PC, Barker-Collo, SL, Barnighausen, TW, Barqawi, HJ, Basu, S, Bayati, M, Bazargan-Hejazi, S, Behzadifar, M, Bekuma, TT, Bennett, DA, Bensenor, IM, Berfield, KSS, Bhagavathula, AS, Bhardwaj, N, Bhardwaj, P, Bhattacharyya, K, Bibi, S, Bijani, A, Bintoro, BS, Biondi, A, Birara, S, Braithwaite, D, Brenner, H, Brunoni, AR, Burkart, K, Butt, ZA, Caetano dos Santos, FL, Alberto Camera, L, Car, J, Cardenas, R, Carreras, G, Carrero, JJ, Castaldelli-Maia, JM, Cattaruzza, MSS, Chang, J-C, Chen, S, Chu, D-T, Chung, S-C, Cirillo, M, Costa, VM, Couto, RAS, Dadras, O, Dai, X, Damasceno, AAM, Damiani, G, Dandona, L, Dandona, R, Daneshpajouhnejad, P, Gela, JD, Davletov, K, Molla, MD, Dessie, GA, Desta, AA, Dharmaratne, SD, Dianatinasab, M, Diaz, D, Hoa, TD, Douiri, A, Duncan, BB, Duraes, AR, Eagan, AW, Kalan, ME, Edvardsson, K, Elbarazi, I, El Tantawi, M, Esmaeilnejad, S, Fadhil, I, Faraon, EJA, Farinha, CSES, Farwati, M, Farzadfar, F, Fazlzadeh, M, Feigin, VL, Feldman, R, Prendes, CF, Ferrara, P, Filip, I, Filippidis, F, Fischer, F, Flor, LS, Foigt, NA, Folayan, MO, Foroutan, M, Gad, MM, Gaidhane, AM, Gallus, S, Geberemariyam, BS, Ghafourifard, M, Ghajar, A, Ghashghaee, A, Giampaoli, S, Gill, PS, Glozah, FN, Gnedovskaya, EV, Golechha, M, Gopalani, SV, Gorini, G, Goudarzi, H, Goulart, AC, Greaves, F, Guha, A, Guo, Y, Gupta, B, Das Gupta, R, Gupta, R, Gupta, T, Gupta, V, Hafezi-Nejad, N, Haider, MR, Hamadeh, RR, Hankey, GJ, Hargono, A, Hartono, RK, Hassankhani, H, Hay, SI, Heidari, G, Herteliu, C, Hezam, K, Hird, TR, Hole, MK, Holla, R, Hosseinzadeh, M, Hostiuc, S, Househ, M, Hsiao, T, Huang, J, Iannucci, VC, Ibitoye, SE, Idrisov, B, Ilesanmi, OS, Ilic, IM, Ilic, MD, Inbaraj, LR, Irvani, SSN, Islam, JY, Islam, RM, Shariful Islam, Sheikh, Islami, F, Iso, H, Itumalla, R, Iwagami, M, Jaafari, J, Jain, V, Jakovljevic, M, Jang, S-I, Janjani, H, Jayaram, S, Jeemon, P, Jha, RP, Jonas, JB, Joo, T, Jurisson, M, Kabir, A, Kabir, Z, Kalankesh, LR, Kanchan, T, Kandel, H, Kapoor, N, Karimi, SE, Katikireddi, SV, Kebede, HK, Kelkay, B, Kennedy, RD, Khoja, AT, Khubchandani, J, Kim, GR, Kim, Y-E, Kimokoti, RW, Kivimaki, M, Kosen, S, Laxminarayana, SLK, Koyanagi, A, Krishan, K, Kugbey, N, Kumar, GA, Kumar, N, Kurmi, OP, Kusuma, D, Lacey, B, Lam, JO, Landires, I, Lasrado, S, Lauriola, P, Lee, DW, Lee, YH, Leung, J, Li, S, Lin, H, Linn, S, Liu, W, Lopez, AD, Lopukhov, PD, Lorkowski, S, Lugo, A, Majeed, A, Maleki, A, Malekzadeh, R, Malta, DC, Mamun, AA, Manjunatha, N, Mansouri, B, Mansournia, MA, Martinez-Raga, J, Martini, S, Mathur, MR, Medina-Solis, CE, Mehata, S, Mendoza, W, Menezes, RG, Meretoja, A, Meretoja, TJ, Miazgowski, B, Michalek, IM, Miller, TR, Mirrakhimov, EM, Mirzaei, H, Mirzaei-Alavijeh, M, Misra, S, Moghadaszadeh, M, Mohammad, Y, Mohammadian-Hafshejani, A, Mohammed, S, Mokdad, AH, Monasta, L, Moni, MA, Moradi, G, Moradi-Lakeh, M, Moradzadeh, R, Morrison, SD, Mossie, TB, Mubarik, S, Mullany, EC, Murray, CJL, Naghavi, M, Naghshtabrizi, B, Nair, S, Nalini, M, Nangia, V, Naqvi, AA, Swamy, SN, Naveed, M, Nayak, S, Nayak, VC, Nazari, J, Nduaguba, SO, Kandel, SN, Cuong, TN, Huong, LTN, Son, HN, Trang, HN, Nixon, MR, Nnaji, CA, Norrving, B, Noubiap, JJ, Nowak, C, Ogbo, FA, Oguntade, AS, Oh, I-H, Olagunju, AT, Oren, E, Otstavnov, N, Otstavnov, SS, Owolabi, MO, Pakhale, MPAS, Pakshir, K, Palladino, R, Pana, A, Panda-Jonas, S, Pandey, A, Parekh, U, Park, E-C, Park, E-K, Kan, FP, Patton, GC, Pawar, S, Pestell, RG, Pinheiro, M, Piradov, MA, Pirouzpanah, S, Pokhrel, KN, Polibin, RV, Prashant, A, Pribadi, DRA, Radfar, A, Rahimi-Movaghar, V, Rahman, A, Rahman, MHU, Rahman, Muhammad, Rahmani, AM, Rajai, N, Ram, P, Ranabhat, CL, Rathi, P, Rawal, L, Renzaho, AMN, Myriam Reynales-Shigematsu, L, Rezapour, A, Riahi, SM, Riaz, MA, Roever, L, Ronfani, L, Roshandel, G, Roy, A, Roy, B, Sacco, S, Saddik, B, Sahebkar, A, Salehi, S, Salimzadeh, H, Samaei, M, Samy, AM, Santos, IS, Santric-Milicevic, MM, Sarrafzadegan, N, Sathian, B, Sawhney, M, Saylan, M, Schaub, MP, Schmidt, MI, Ceola Schneider, IJ, Schutte, AE, Schwendicke, F, Seidu, A-A, Kumar, NS, Sepanlou, SG, Seylani, A, Shafaat, O, Shah, SM, Shaikh, MA, Shalash, AS, Shannawaz, M, Sharafi, K, Sheikh, A, Sheikhbahaei, S, Shigematsu, M, Shiri, R, Shishani, K, Shivakumar, KM, Shivalli, S, Shrestha, R, Siabani, S, Sidemo, NB, Sigfusdottir, ID, Sigurvinsdottir, R, Santos Silva, DA, Silva, JP, Singh, A, Singh, JA, Singh, V, Sinha, DN, Sitas, F, Skryabin, VY, Skryabina, AA, Soboka, M, Soriano, JB, Soroush, A, Soshnikov, S, Soyiri, IN, Spurlock, EE, Sreeramareddy, CT, Stein, DJ, Steiropoulos, P, Stortecky, S, Straif, K, Abdulkader, RS, Sulo, G, Sundstrom, J, Tabuchi, T, Tadakamadla, SK, Taddele, BW, Tadesse, EG, Tamiru, AT, Tareke, M, Tareque, MI, Tarigan, IU, Temsah, M-H, Thankappan, KR, Thapar, R, Tichopad, A, Tolani, MA, Topouzis, F, Tovani-Palone, MR, Bach, XT, Tripathy, JP, Tsegaye, GW, Tsilimparis, N, Tymeson, HD, Ullah, A, Ullah, S, Unim, B, Updike, RL, Vacante, M, Valdez, PR, Vardavas, C, Varona Perez, P, Vasankari, TJ, Venketasubramanian, N, Verma, M, Vetrova, MV, Bay, V, Giang, TV, Waheed, Y, Wang, Y, Welding, K, Werdecker, A, Whisnant, JL, Wickramasinghe, ND, Yamagishi, K, Yandrapalli, S, Yatsuya, H, Yazdi-Feyzabadi, V, Yeshaw, Y, Yimmer, MZ, Yonemoto, N, Yu, C, Yunusa, I, Yusefzadeh, H, Moghadam, TZ, Zaman, MS, Zamanian, M, Zandian, H, Zar, HJ, Zastrozhin, MS, Zastrozhina, A, Zavala-Arciniega, L, Zhang, J, Zhang, Z-J, Zhong, C, Zuniga, YMH, and Gakidou, E
Published: 2021

8. Spatial, temporal, and demographic patterns in prevalence of chewing tobacco use in 204 countries and territories, 1990-2019: a systematic analysis from the Global Burden of Disease Study 2019

Author: Kendrick, PJ, Reitsma, MB, Abbasi-Kangevari, M, Abdoli, A, Abdollahi, M, Abedi, A, Abhilash, ES, Aboyans, V, Adebayo, OM, Advani, SM, Ahinkorah, BO, Ahmad, S, Ahmadi, K, Ahmed, H, Aji, B, Akalu, Y, Akunna, CJ, Alahdab, F, Al-Aly, Z, Alanezi, FM, Alanzi, TM, Alhabib, KF, Ali, T, Alif, SM, Alipour, V, Aljunid, SM, Alomari, MA, Amin, TT, Amini, S, Amu, H, Ancuceanu, R, Anderson, JA, Andrei, CL, Andrei, T, Ansari-Moghaddam, A, Antony, B, Anvari, D, Arabloo, J, Arian, ND, Arora, M, Artanti, KD, Asmare, WN, Atnafu, DD, Ausloos, M, Awan, AT, Ayano, G, Aynalem, GL, Azari, S, Darshan, BB, Badiye, AD, Baig, AA, Banach, M, Banerjee, SK, Barker-Collo, SL, Barnighausen, TW, Barqawi, HJ, Basu, S, Bayati, M, Bazargan-Hejazi, S, Bekuma, TT, Bennett, DA, Bensenor, IM, Benzian, H, Benziger, CP, Berman, AE, Bhagavathula, AS, Bhala, N, Bhardwaj, N, Bhardwaj, P, Bhattacharyya, K, Bibi, S, Bijani, A, Biondi, A, Braithwaite, D, Brenner, H, Brunoni, AR, Burkart, K, Nagaraja, SB, Butt, ZA, dos Santos, FLC, Car, J, Carreras, G, Castaldelli-Maia, JM, Cattaruzza, MSS, Chang, J-C, Chaturvedi, P, Chen, S, Chido-Amajuoyi, OG, Chu, D-T, Chung, S-C, Ciobanu, LG, Costa, VM, Couto, RAS, Dagnew, B, Dai, X, Damasceno, AAM, Damiani, G, Dandona, L, Dandona, R, Daneshpajouhnejad, P, Gela, JD, Molla, MD, Desta, AA, Dharmaratne, SD, Dhimal, M, Eagan, AW, Kalan, ME, Edvardsson, K, Effiong, A, El Tantawi, M, Elbarazi, I, Esmaeilnejad, S, Fadhil, I, Faraon, EJA, Farwati, M, Farzadfar, F, Fazlzadeh, M, Feigin, VL, Feldman, R, Filip, I, Filippidis, F, Fischer, F, Flor, LS, Foigt, NA, Folayan, MO, Foroutan, M, Gad, MM, Gallus, S, Geberemariyam, BS, Gebregiorgis, BG, Getacher, L, Obsa, AG, Ghafourifard, M, Gheshlagh, RG, Ghashghaee, A, Ghith, N, Gil, GF, Gill, PS, Ginawi, IA, Goharinezhad, S, Golechha, M, Gopalani, SV, Gorini, G, Grivna, M, Guha, A, Guimaraes, RA, Guo, Y, Das Gupta, R, Gupta, R, Gupta, T, Gupta, V, Hafezi-Nejad, N, Haider, MR, Hamadeh, RR, Hankey, GJ, Hargono, A, Hay, S, Heidari, G, Herteliu, C, Hezam, K, Hird, TR, Holla, R, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Househ, M, Hsiao, T, Huang, J, Ibeneme, CU, Ibitoye, SE, Ilic, IM, Ilic, MD, Inbaraj, LR, Irvani, SSN, Islam, JY, Islam, RM, Shariful Islam, Sheikh, Islami, F, Iso, H, Itumalla, R, Jaafari, J, Jain, V, Jakovljevic, M, Jang, S-I, Jayaram, S, Jeemon, P, Jha, RP, Jonas, JB, Jurisson, M, Kabir, A, Kabir, Z, Kalankesh, LR, Kanchan, T, Kandel, H, Kapoor, N, Karch, A, Karimi, SE, Kebede, KM, Kelkay, B, Kennedy, RD, Khader, YS, Khan, EA, Khayamzadeh, M, Kim, GR, Kimokoti, RW, Kivimaki, M, Kosen, S, Laxminarayana, SLK, Koyanagi, A, Krishan, K, Kugbey, N, Kumar, GA, Kumar, N, Kurmi, OP, Kusuma, D, Lacey, B, Landires, I, Lasrado, S, Lauriola, P, Lee, DW, Lee, YH, Leung, J, Li, S, Lin, H, Liu, W, Lugo, A, Kunjathur, SM, Majeed, A, Maleki, A, Malekzadeh, R, Malta, DC, Mamun, AA, Manjunatha, N, Mansouri, B, Mansournia, MA, Martini, S, Mathur, MR, Mathur, P, Mazidi, M, McKee, M, Medina-Solis, CE, Mehata, S, Mendoza, W, Menezes, RG, Miazgowski, B, Michalek, IM, Miller, TR, Mini, G, Mirica, A, Mirrakhimov, EM, Mirzaei, H, Misra, S, Mohammad, Y, Mohammadian-Hafshejani, A, Mohammed, S, Mokdad, AH, Molokhia, M, Monasta, L, Moni, MA, Moradzadeh, R, Morrison, SD, Mossie, TB, Mubarik, S, Mullany, EC, Murray, CJL, Nagaraju, SP, Naghavi, M, Naik, N, Nalini, M, Nangia, V, Naqvi, AA, Swamy, SN, Naveed, M, Nazari, J, Nduaguba, SO, Negoi, RI, Kandel, SN, Nguyen, HLT, Nigatu, YT, Nixon, MR, Nnaji, CA, Noubiap, JJ, Nowak, C, Nunez-Samudio, V, Ogbo, FA, Oguntade, AS, Oh, I-H, Olagunju, AT, Owolabi, MO, Mahesh, PA, Pakshir, K, Pana, A, Panagiotakos, D, Panda-Jonas, S, Pandey, A, Parekh, U, Park, E-C, Park, E-K, Kan, FP, Pathak, M, Pawar, S, Pestell, RG, Pham, HQ, Pinheiro, M, Pokhrel, KN, Pourshams, A, Prashant, A, Radfar, A, Rahimi-Movaghar, V, Rahman, MHU, Rahman, Muhammad, Rahmani, AM, Ram, P, Rana, J, Ranabhat, CL, Rathi, P, Rawaf, DL, Rawaf, S, Rawassizadeh, R, Renzaho, AMN, Rezapour, A, Riaz, MA, Roever, L, Ronfani, L, Roshandel, G, Roy, A, Roy, B, Saddik, B, Sahebkar, A, Salehi, S, Salimzadeh, H, Samy, AM, Sanabria, J, Santric-Milicevic, MM, Sao Jose, BP, Sathian, B, Sawhney, M, Saya, GK, Schwendicke, F, Seidu, A-A, Kumar, NS, Sepanlou, SG, Shafaat, O, Shah, SM, Shaikh, MA, Shannawaz, M, Sharafi, K, Sheikh, A, Sheikhbahaei, S, Shigematsu, M, Shiri, R, Shishani, K, Shivakumar, KM, Shivalli, S, Shrestha, R, Siabani, S, Sidemo, NB, Sigfusdottir, ID, Sigurvinsdottir, R, Silva, JP, Singh, A, Singh, JA, Singh, V, Sinha, DN, Skryabin, VY, Skryabina, AA, Soroush, A, Soyiri, IN, Sreeramareddy, CT, Stein, DJ, Steiropoulos, P, Stortecky, S, Straif, K, Abdulkader, RS, Sulo, G, Sundstrom, J, Tabuchi, T, Tadesse, EG, Tamiru, AT, Tareke, M, Tareque, MI, Tarigan, IU, Thakur, B, Thankappan, KR, Thapar, R, Tolani, MA, Tovani-Palone, MR, Tran, BX, Tripathy, JP, Tsegaye, GW, Tymeson, HD, Ullah, S, Unim, B, Updike, RL, Uthman, OA, Vacante, M, Vardavas, C, Venketasubramanian, N, Verma, M, Vidale, S, Vo, B, Vu, GT, Waheed, Y, Wang, Y, Welding, K, Werdecker, A, Whisnant, JL, Wickramasinghe, ND, Wubishet, BL, Yamagishi, K, Yano, Y, Yazdi-Feyzabadi, V, Yeshaw, Y, Yimmer, MZ, Yonemoto, N, Yousefi, Z, Yu, C, Yunusa, I, Yusefzadeh, H, Zaman, MS, Zamani, M, Zamanian, M, Zastrozhin, MS, Zastrozhina, A, Zhang, J, Zhang, Z-J, Zhong, C, Zuniga, YMH, Gakidou, E, Kendrick, PJ, Reitsma, MB, Abbasi-Kangevari, M, Abdoli, A, Abdollahi, M, Abedi, A, Abhilash, ES, Aboyans, V, Adebayo, OM, Advani, SM, Ahinkorah, BO, Ahmad, S, Ahmadi, K, Ahmed, H, Aji, B, Akalu, Y, Akunna, CJ, Alahdab, F, Al-Aly, Z, Alanezi, FM, Alanzi, TM, Alhabib, KF, Ali, T, Alif, SM, Alipour, V, Aljunid, SM, Alomari, MA, Amin, TT, Amini, S, Amu, H, Ancuceanu, R, Anderson, JA, Andrei, CL, Andrei, T, Ansari-Moghaddam, A, Antony, B, Anvari, D, Arabloo, J, Arian, ND, Arora, M, Artanti, KD, Asmare, WN, Atnafu, DD, Ausloos, M, Awan, AT, Ayano, G, Aynalem, GL, Azari, S, Darshan, BB, Badiye, AD, Baig, AA, Banach, M, Banerjee, SK, Barker-Collo, SL, Barnighausen, TW, Barqawi, HJ, Basu, S, Bayati, M, Bazargan-Hejazi, S, Bekuma, TT, Bennett, DA, Bensenor, IM, Benzian, H, Benziger, CP, Berman, AE, Bhagavathula, AS, Bhala, N, Bhardwaj, N, Bhardwaj, P, Bhattacharyya, K, Bibi, S, Bijani, A, Biondi, A, Braithwaite, D, Brenner, H, Brunoni, AR, Burkart, K, Nagaraja, SB, Butt, ZA, dos Santos, FLC, Car, J, Carreras, G, Castaldelli-Maia, JM, Cattaruzza, MSS, Chang, J-C, Chaturvedi, P, Chen, S, Chido-Amajuoyi, OG, Chu, D-T, Chung, S-C, Ciobanu, LG, Costa, VM, Couto, RAS, Dagnew, B, Dai, X, Damasceno, AAM, Damiani, G, Dandona, L, Dandona, R, Daneshpajouhnejad, P, Gela, JD, Molla, MD, Desta, AA, Dharmaratne, SD, Dhimal, M, Eagan, AW, Kalan, ME, Edvardsson, K, Effiong, A, El Tantawi, M, Elbarazi, I, Esmaeilnejad, S, Fadhil, I, Faraon, EJA, Farwati, M, Farzadfar, F, Fazlzadeh, M, Feigin, VL, Feldman, R, Filip, I, Filippidis, F, Fischer, F, Flor, LS, Foigt, NA, Folayan, MO, Foroutan, M, Gad, MM, Gallus, S, Geberemariyam, BS, Gebregiorgis, BG, Getacher, L, Obsa, AG, Ghafourifard, M, Gheshlagh, RG, Ghashghaee, A, Ghith, N, Gil, GF, Gill, PS, Ginawi, IA, Goharinezhad, S, Golechha, M, Gopalani, SV, Gorini, G, Grivna, M, Guha, A, Guimaraes, RA, Guo, Y, Das Gupta, R, Gupta, R, Gupta, T, Gupta, V, Hafezi-Nejad, N, Haider, MR, Hamadeh, RR, Hankey, GJ, Hargono, A, Hay, S, Heidari, G, Herteliu, C, Hezam, K, Hird, TR, Holla, R, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Househ, M, Hsiao, T, Huang, J, Ibeneme, CU, Ibitoye, SE, Ilic, IM, Ilic, MD, Inbaraj, LR, Irvani, SSN, Islam, JY, Islam, RM, Shariful Islam, Sheikh, Islami, F, Iso, H, Itumalla, R, Jaafari, J, Jain, V, Jakovljevic, M, Jang, S-I, Jayaram, S, Jeemon, P, Jha, RP, Jonas, JB, Jurisson, M, Kabir, A, Kabir, Z, Kalankesh, LR, Kanchan, T, Kandel, H, Kapoor, N, Karch, A, Karimi, SE, Kebede, KM, Kelkay, B, Kennedy, RD, Khader, YS, Khan, EA, Khayamzadeh, M, Kim, GR, Kimokoti, RW, Kivimaki, M, Kosen, S, Laxminarayana, SLK, Koyanagi, A, Krishan, K, Kugbey, N, Kumar, GA, Kumar, N, Kurmi, OP, Kusuma, D, Lacey, B, Landires, I, Lasrado, S, Lauriola, P, Lee, DW, Lee, YH, Leung, J, Li, S, Lin, H, Liu, W, Lugo, A, Kunjathur, SM, Majeed, A, Maleki, A, Malekzadeh, R, Malta, DC, Mamun, AA, Manjunatha, N, Mansouri, B, Mansournia, MA, Martini, S, Mathur, MR, Mathur, P, Mazidi, M, McKee, M, Medina-Solis, CE, Mehata, S, Mendoza, W, Menezes, RG, Miazgowski, B, Michalek, IM, Miller, TR, Mini, G, Mirica, A, Mirrakhimov, EM, Mirzaei, H, Misra, S, Mohammad, Y, Mohammadian-Hafshejani, A, Mohammed, S, Mokdad, AH, Molokhia, M, Monasta, L, Moni, MA, Moradzadeh, R, Morrison, SD, Mossie, TB, Mubarik, S, Mullany, EC, Murray, CJL, Nagaraju, SP, Naghavi, M, Naik, N, Nalini, M, Nangia, V, Naqvi, AA, Swamy, SN, Naveed, M, Nazari, J, Nduaguba, SO, Negoi, RI, Kandel, SN, Nguyen, HLT, Nigatu, YT, Nixon, MR, Nnaji, CA, Noubiap, JJ, Nowak, C, Nunez-Samudio, V, Ogbo, FA, Oguntade, AS, Oh, I-H, Olagunju, AT, Owolabi, MO, Mahesh, PA, Pakshir, K, Pana, A, Panagiotakos, D, Panda-Jonas, S, Pandey, A, Parekh, U, Park, E-C, Park, E-K, Kan, FP, Pathak, M, Pawar, S, Pestell, RG, Pham, HQ, Pinheiro, M, Pokhrel, KN, Pourshams, A, Prashant, A, Radfar, A, Rahimi-Movaghar, V, Rahman, MHU, Rahman, Muhammad, Rahmani, AM, Ram, P, Rana, J, Ranabhat, CL, Rathi, P, Rawaf, DL, Rawaf, S, Rawassizadeh, R, Renzaho, AMN, Rezapour, A, Riaz, MA, Roever, L, Ronfani, L, Roshandel, G, Roy, A, Roy, B, Saddik, B, Sahebkar, A, Salehi, S, Salimzadeh, H, Samy, AM, Sanabria, J, Santric-Milicevic, MM, Sao Jose, BP, Sathian, B, Sawhney, M, Saya, GK, Schwendicke, F, Seidu, A-A, Kumar, NS, Sepanlou, SG, Shafaat, O, Shah, SM, Shaikh, MA, Shannawaz, M, Sharafi, K, Sheikh, A, Sheikhbahaei, S, Shigematsu, M, Shiri, R, Shishani, K, Shivakumar, KM, Shivalli, S, Shrestha, R, Siabani, S, Sidemo, NB, Sigfusdottir, ID, Sigurvinsdottir, R, Silva, JP, Singh, A, Singh, JA, Singh, V, Sinha, DN, Skryabin, VY, Skryabina, AA, Soroush, A, Soyiri, IN, Sreeramareddy, CT, Stein, DJ, Steiropoulos, P, Stortecky, S, Straif, K, Abdulkader, RS, Sulo, G, Sundstrom, J, Tabuchi, T, Tadesse, EG, Tamiru, AT, Tareke, M, Tareque, MI, Tarigan, IU, Thakur, B, Thankappan, KR, Thapar, R, Tolani, MA, Tovani-Palone, MR, Tran, BX, Tripathy, JP, Tsegaye, GW, Tymeson, HD, Ullah, S, Unim, B, Updike, RL, Uthman, OA, Vacante, M, Vardavas, C, Venketasubramanian, N, Verma, M, Vidale, S, Vo, B, Vu, GT, Waheed, Y, Wang, Y, Welding, K, Werdecker, A, Whisnant, JL, Wickramasinghe, ND, Wubishet, BL, Yamagishi, K, Yano, Y, Yazdi-Feyzabadi, V, Yeshaw, Y, Yimmer, MZ, Yonemoto, N, Yousefi, Z, Yu, C, Yunusa, I, Yusefzadeh, H, Zaman, MS, Zamani, M, Zamanian, M, Zastrozhin, MS, Zastrozhina, A, Zhang, J, Zhang, Z-J, Zhong, C, Zuniga, YMH, and Gakidou, E
Published: 2021

9. Global, Regional, and National Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life-Years for 29 Cancer Groups, 1990 to 2017: A Systematic Analysis for the Global Burden of Disease Study

Author: Global Burden of Disease Cancer Collaboration, Fitzmaurice C, Abate D, Abbasi N, Abbastabar H, Abd-Allah F, Abdel-Rahman O, Abdelalim A, Abdoli A, Abdollahpour I, Abdulle ASM, Abebe ND, Abraha HN, Abu-Raddad LJ, Abualhasan A, Adedeji IA, Advani SM, Afarideh M, Afshari M, Aghaali M, Agius D, Agrawal S, Ahmadi A, Ahmadian E, Ahmadpour E, Ahmed MB, Akbari ME, Akinyemiju T, Al-Aly Z, AlAbdulKader AM, Alahdab F, Alam T, Alamene GM, Alemnew BTT, Alene KA, Alinia C, Alipour V, Aljunid SM, Bakeshei FA, Almadi MAH, Almasi-Hashiani A, Alsharif U, Alsowaidi S, Alvis-Guzman N, Amini E, Amini S, Amoako YA, Anbari Z, Anber NH, Andrei CL, Anjomshoa M, Ansari F, Ansariadi A, Appiah SCY, Arab-Zozani M, Arabloo J, Arefi Z, Aremu O, Areri HA, Artaman A, Asayesh H, Asfaw ET, Ashagre AF, Assadi R, Ataeinia B, Atalay HT, Ataro Z, Atique S, Ausloos M, Avila-Burgos L, Avokpaho EFGA, Awasthi A, Awoke N, Ayala Quintanilla BP, Ayanore MA, Ayele HT, Babaee E, Bacha U, Badawi A, Bagherzadeh M, Bagli E, Balakrishnan S, Balouchi A, Bärnighausen TW, Battista RJ, Behzadifar M, Bekele BB, Belay YB, Belayneh YM, Berfield KKS, Berhane A, Bernabe E, Beuran M, Bhakta N, Bhattacharyya K, Biadgo B, Bijani A, Bin Sayeed MS, Birungi C, Bisignano C, Bitew H, Bjørge T, Bleyer A, Bogale KA, Bojia HA, Borzì AM, Bosetti C, Bou-Orm IR, Brenner H, Brewer JD, Briko AN, Briko NI, Bustamante-Teixeira MT, Butt ZA, Carreras G, Carrero JJ, Carvalho F, Castro C, Castro F, Catalá-López F, Cerin E, Chaiah Y, Chanie WF, Chattu VK, Chaturvedi P, Chauhan NS, Chehrazi M, Chiang PP, Chichiabellu TY, Chido-Amajuoyi OG, Chimed-Ochir O, Choi JJ, Christopher DJ, Chu DT, Constantin MM, Costa VM, Crocetti E, Crowe CS, Curado MP, Dahlawi SMA, Damiani G, Darwish AH, Daryani A, das Neves J, Demeke FM, Demis AB, Demissie BW, Demoz GT, Denova-Gutiérrez E, Derakhshani A, Deribe KS, Desai R, Desalegn BB, Desta M, Dey S, Dharmaratne SD, Dhimal M, Diaz D, Dinberu MTT, Djalalinia S, Doku DT, Drake TM, Dubey M, Dubljanin E, Duken EE, Ebrahimi H, Effiong A, Eftekhari A, El Sayed I, Zaki MES, El-Jaafary SI, El-Khatib Z, Elemineh DA, Elkout H, Ellenbogen RG, Elsharkawy A, Emamian MH, Endalew DA, Endries AY, Eshrati B, Fadhil I, Fallah V, Faramarzi M, Farhangi MA, Farioli A, Farzadfar F, Fentahun N, Fernandes E, Feyissa GT, Filip I, Fischer F, Fisher JL, Force LM, Foroutan M, Freitas M, Fukumoto T, Futran ND, Gallus S, Gankpe FG, Gayesa RT, Gebrehiwot TT, Gebremeskel GG, Gedefaw GA, Gelaw BK, Geta B, Getachew S, Gezae KE, Ghafourifard M, Ghajar A, Ghashghaee A, Gholamian A, Gill PS, Ginindza TTG, Girmay A, Gizaw M, Gomez RS, Gopalani SV, Gorini G, Goulart BNG, Grada A, Ribeiro Guerra M, Guimaraes ALS, Gupta PC, Gupta R, Hadkhale K, Haj-Mirzaian A, Hamadeh RR, Hamidi S, Hanfore LK, Haro JM, Hasankhani M, Hasanzadeh A, Hassen HY, Hay RJ, Hay SI, Henok A, Henry NJ, Herteliu C, Hidru HD, Hoang CL, Hole MK, Hoogar P, Horita N, Hosgood HD, Hosseini M, Hosseinzadeh M, Hostiuc M, Hostiuc S, Househ M, Hussen MM, Ileanu B, Ilic MD, Innos K, Irvani SSN, Iseh KR, Islam SMS, Islami F, Jafari Balalami N, Jafarinia M, Jahangiry L, Jahani MA, Jahanmehr N, Jakovljevic M, James SL, Javanbakht M, Jayaraman S, Jee SH, Jenabi E, Jha RP, Jonas JB, Jonnagaddala J, Joo T, Jungari SB, Jürisson M, Kabir A, Kamangar F, Karch A, Karimi N, Karimian A, Kasaeian A, Kasahun GG, Kassa B, Kassa TD, Kassaw MW, Kaul A, Keiyoro PN, Kelbore AG, Kerbo AA, Khader YS, Khalilarjmandi M, Khan EA, Khan G, Khang YH, Khatab K, Khater A, Khayamzadeh M, Khazaee-Pool M, Khazaei S, Khoja AT, Khosravi MH, Khubchandani J, Kianipour N, Kim D, Kim YJ, Kisa A, Kisa S, Kissimova-Skarbek K, Komaki H, Koyanagi A, Krohn KJ, Bicer BK, Kugbey N, Kumar V, Kuupiel D, La Vecchia C, Lad DP, Lake EA, Lakew AM, Lal DK, Lami FH, Lan Q, Lasrado S, Lauriola P, Lazarus JV, Leigh J, Leshargie CT, Liao Y, Limenih MA, Listl S, Lopez AD, Lopukhov PD, Lunevicius R, Madadin M, Magdeldin S, El Razek HMA, Majeed A, Maleki A, Malekzadeh R, Manafi A, Manafi N, Manamo WA, Mansourian M, Mansournia MA, Mantovani LG, Maroufizadeh S, Martini SMS, Mashamba-Thompson TP, Massenburg BB, Maswabi MT, Mathur MR, McAlinden C, McKee M, Meheretu HAA, Mehrotra R, Mehta V, Meier T, Melaku YA, Meles GG, Meles HG, Melese A, Melku M, Memiah PTN, Mendoza W, Menezes RG, Merat S, Meretoja TJ, Mestrovic T, Miazgowski B, Miazgowski T, Mihretie KMM, Miller TR, Mills EJ, Mir SM, Mirzaei H, Mirzaei HR, Mishra R, Moazen B, Mohammad DK, Mohammad KA, Mohammad Y, Darwesh AM, Mohammadbeigi A, Mohammadi H, Mohammadi M, Mohammadian M, Mohammadian-Hafshejani A, Mohammadoo-Khorasani M, Mohammadpourhodki R, Mohammed AS, Mohammed JA, Mohammed S, Mohebi F, Mokdad AH, Monasta L, Moodley Y, Moosazadeh M, Moossavi M, Moradi G, Moradi-Joo M, Moradi-Lakeh M, Moradpour F, Morawska L, Morgado-da-Costa J, Morisaki N, Morrison SD, Mosapour A, Mousavi SM, Muche AA, Muhammed OSS, Musa J, Nabhan AR, Naderi M, Nagarajan AJ, Nagel G, Nahvijou A, Naik G, Najafi F, Naldi L, Nam HS, Nasiri N, Nazari J, Negoi I, Neupane S, Newcomb PA, Nggada HA, Ngunjiri JW, Nguyen CT, Nikniaz L, Ningrum DNA, Nirayo YL, Nixon MR, Nnaji CA, Nojomi M, Nosratnejad S, Shiadeh MN, Obsa MS, Ofori-Asenso R, Ogbo FA, Oh IH, Olagunju AT, Olagunju TO, Oluwasanu MM, Omonisi AE, Onwujekwe OE, Oommen AM, Oren E, Ortega-Altamirano DDV, Ota E, Otstavnov SS, Owolabi MO, P A M, Padubidri JR, Pakhale S, Pakpour AH, Pana A, Park EK, Parsian H, Pashaei T, Patel S, Patil ST, Pennini A, Pereira DM, Piccinelli C, Pillay JD, Pirestani M, Pishgar F, Postma MJ, Pourjafar H, Pourmalek F, Pourshams A, Prakash S, Prasad N, Qorbani M, Rabiee M, Rabiee N, Radfar A, Rafiei A, Rahim F, Rahimi M, Rahman MA, Rajati F, Rana SM, Raoofi S, Rath GK, Rawaf DL, Rawaf S, Reiner RC, Renzaho AMN, Rezaei N, Rezapour A, Ribeiro AI, Ribeiro D, Ronfani L, Roro EM, Roshandel G, Rostami A, Saad RS, Sabbagh P, Sabour S, Saddik B, Safiri S, Sahebkar A, Salahshoor MR, Salehi F, Salem H, Salem MR, Salimzadeh H, Salomon JA, Samy AM, Sanabria J, Santric Milicevic MM, Sartorius B, Sarveazad A, Sathian B, Satpathy M, Savic M, Sawhney M, Sayyah M, Schneider IJC, Schöttker B, Sekerija M, Sepanlou SG, Sepehrimanesh M, Seyedmousavi S, Shaahmadi F, Shabaninejad H, Shahbaz M, Shaikh MA, Shamshirian A, Shamsizadeh M, Sharafi H, Sharafi Z, Sharif M, Sharifi A, Sharifi H, Sharma R, Sheikh A, Shirkoohi R, Shukla SR, Si S, Siabani S, Silva DAS, Silveira DGA, Singh A, Singh JA, Sisay S, Sitas F, Sobngwi E, Soofi M, Soriano JB, Stathopoulou V, Sufiyan MB, Tabarés-Seisdedos R, Tabuchi T, Takahashi K, Tamtaji OR, Tarawneh MR, Tassew SG, Taymoori P, Tehrani-Banihashemi A, Temsah MH, Temsah O, Tesfay BE, Tesfay FH, Teshale MY, Tessema GA, Thapa S, Tlaye KG, Topor-Madry R, Tovani-Palone MR, Traini E, Tran BX, Tran KB, Tsadik AG, Ullah I, Uthman OA, Vacante M, Vaezi M, Varona Pérez P, Veisani Y, Vidale S, Violante FS, Vlassov V, Vollset SE, Vos T, Vosoughi K, Vu GT, Vujcic IS, Wabinga H, Wachamo TM, Wagnew FS, Waheed Y, Weldegebreal F, Weldesamuel GT, Wijeratne T, Wondafrash DZ, Wonde TE, Wondmieneh AB, Workie HM, Yadav R, Yadegar A, Yadollahpour A, Yaseri M, Yazdi-Feyzabadi V, Yeshaneh A, Yimam MA, Yimer EM, Yisma E, Yonemoto N, Younis MZ, Yousefi B, Yousefifard M, Yu C, Zabeh E, Zadnik V, Moghadam TZ, Zaidi Z, Zamani M, Zandian H, Zangeneh A, Zaki L, Zendehdel K, Zenebe ZM, Zewale TA, Ziapour A, Zodpey S, Murray CJL, Fitzmaurice C., Abate D., Abbasi N., Abbastabar H., Abd-Allah F., Abdel-Rahman O., Abdelalim A., Abdoli A., Abdollahpour I., Abdulle A.S.M., Abebe N.D., Abraha H.N., Abu-Raddad L.J., Abualhasan A., Adedeji I.A., Advani S.M., Afarideh M., Afshari M., Aghaali M., Agius D., Agrawal S., Ahmadi A., Ahmadian E., Ahmadpour E., Ahmed M.B., Akbari M.E., Akinyemiju T., Al-Aly Z., Alabdulkader A.M., Alahdab F., Alam T., Alamene G.M., Alemnew B.T.T., Alene K.A., Alinia C., Alipour V., Aljunid S.M., Bakeshei F.A., Almadi M.A.H., Almasi-Hashiani A., Alsharif U., Alsowaidi S., Alvis-Guzman N., Amini E., Amini S., Amoako Y.A., Anbari Z., Anber N.H., Andrei C.L., Anjomshoa M., Ansari F., Ansariadi A., Appiah S.C.Y., Arab-Zozani M., Arabloo J., Arefi Z., Aremu O., Areri H.A., Artaman A., Asayesh H., Asfaw E.T., Ashagre A.F., Assadi R., Ataeinia B., Atalay H.T., Ataro Z., Atique S., Ausloos M., Avila-Burgos L., Avokpaho E.F.G.A., Awasthi A., Awoke N., Ayala Quintanilla B.P., Ayanore M.A., Ayele H.T., Babaee E., Bacha U., Badawi A., Bagherzadeh M., Bagli E., Balakrishnan S., Balouchi A., Barnighausen T.W., Battista R.J., Behzadifar M., Bekele B.B., Belay Y.B., Belayneh Y.M., Berfield K.K.S., Berhane A., Bernabe E., Beuran M., Bhakta N., Bhattacharyya K., Biadgo B., Bijani A., Bin Sayeed M.S., Birungi C., Bisignano C., Bitew H., Bjorge T., Bleyer A., Bogale K.A., Bojia H.A., Borzi A.M., Bosetti C., Bou-Orm I.R., Brenner H., Brewer J.D., Briko A.N., Briko N.I., Bustamante-Teixeira M.T., Butt Z.A., Carreras G., Carrero J.J., Carvalho F., Castro C., Castro F., Catala-Lopez F., Cerin E., Chaiah Y., Chanie W.F., Chattu V.K., 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S., Gankpe F.G., Gayesa R.T., Gebrehiwot T.T., Gebremeskel G.G., Gedefaw G.A., Gelaw B.K., Geta B., Getachew S., Gezae K.E., Ghafourifard M., Ghajar A., Ghashghaee A., Gholamian A., Gill P.S., Ginindza T.T.G., Girmay A., Gizaw M., Gomez R.S., Gopalani S.V., Gorini G., Goulart B.N.G., Grada A., Ribeiro Guerra M., Guimaraes A.L.S., Gupta P.C., Gupta R., Hadkhale K., Haj-Mirzaian A., Hamadeh R.R., Hamidi S., Hanfore L.K., Haro J.M., Hasankhani M., Hasanzadeh A., Hassen H.Y., Hay R.J., Hay S.I., Henok A., Henry N.J., Herteliu C., Hidru H.D., Hoang C.L., Hole M.K., Hoogar P., Horita N., Hosgood H.D., Hosseini M., Hosseinzadeh M., Hostiuc M., Hostiuc S., Househ M., Hussen M.M., Ileanu B., Ilic M.D., Innos K., Irvani S.S.N., Iseh K.R., Islam S.M.S., Islami F., Jafari Balalami N., Jafarinia M., Jahangiry L., Jahani M.A., Jahanmehr N., Jakovljevic M., James S.L., Javanbakht M., Jayaraman S., Jee S.H., Jenabi E., Jha R.P., Jonas J.B., Jonnagaddala J., Joo T., Jungari S.B., Jurisson M., Kabir A., 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Violante, F, Vlassov, V, Vollset, S, Vos, T, Vosoughi, K, Vu, G, Vujcic, I, Wabinga, H, Wachamo, T, Wagnew, F, Waheed, Y, Weldegebreal, F, Weldesamuel, G, Wijeratne, T, Wondafrash, D, Wonde, T, Wondmieneh, A, Workie, H, Yadav, R, Yadegar, A, Yadollahpour, A, Yaseri, M, Yazdi-Feyzabadi, V, Yeshaneh, A, Yimam, M, Yimer, E, Yisma, E, Yonemoto, N, Younis, M, Yousefi, B, Yousefifard, M, Yu, C, Zabeh, E, Zadnik, V, Moghadam, T, Zaidi, Z, Zamani, M, Zandian, H, Zangeneh, A, Zaki, L, Zendehdel, K, Zenebe, Z, Zewale, T, Ziapour, A, Zodpey, S, Murray, C, Fitzmaurice, Christina, Abate, Degu, Abbasi, Naghmeh, Abbastabar, Hedayat, Yisma, Engida, Murray, Christopher JL, and Global Burden of Disease Cancer Collaboration
Subjects: Cancer Research, age distribution, cancer incidence, Colorectal cancer, GBD, DALY, cancer risk, Global Health, Global Burden of Disease, disease burden, cause of death, trachea cancer, 0302 clinical medicine, systematic review, Neoplasms, quality adjusted life year, 11. Sustainability, Epidemiology, cancer mortality, 030212 general & internal medicine, years of life lost, Stomach cancer, fertility, disabled person, stomach cancer, disability-adjusted life year, nonhodgkin lymphoma, Incidence, 1. No poverty, prostate cancer, 3. Good health, income, Oncology, risk factor, 030220 oncology & carcinogenesis, bladder cancer, Quality-Adjusted Life Years, medicine.medical_specialty, sex difference, 3122 Cancers, colorectal cancer, bronchus cancer, Article, educational status, Causes of cancer, liver cancer, 03 medical and health sciences, Breast cancer, breast cancer, Environmental health, geographic distribution, medicine, Humans, Disabled Persons, human, business.industry, Correction, Cancer, non melanoma skin cancer, medicine.disease, years lived with disability, lung cancer, Years of potential life lost, Skin cancer, global disease burden, business, neoplasm, RC, uterine cervix cancer
Abstract: Importance: Cancer and other noncommunicable diseases (NCDs) are now widely recognized as a threat to global development. The latest United Nations high-level meeting on NCDs reaffirmed this observation and also highlighted the slow progress in meeting the 2011 Political Declaration on the Prevention and Control of Noncommunicable Diseases and the third Sustainable Development Goal. Lack of situational analyses, priority setting, and budgeting have been identified as major obstacles in achieving these goals. All of these have in common that they require information on the local cancer epidemiology. The Global Burden of Disease (GBD) study is uniquely poised to provide these crucial data. Objective: To describe cancer burden for 29 cancer groups in 195 countries from 1990 through 2017 to provide data needed for cancer control planning. Evidence Review: We used the GBD study estimation methods to describe cancer incidence, mortality, years lived with disability, years of life lost, and disability-Adjusted life-years (DALYs). Results are presented at the national level as well as by Socio-demographic Index (SDI), a composite indicator of income, educational attainment, and total fertility rate. We also analyzed the influence of the epidemiological vs the demographic transition on cancer incidence. Findings: In 2017, there were 24.5 million incident cancer cases worldwide (16.8 million without nonmelanoma skin cancer [NMSC]) and 9.6 million cancer deaths. The majority of cancer DALYs came from years of life lost (97%), and only 3% came from years lived with disability. The odds of developing cancer were the lowest in the low SDI quintile (1 in 7) and the highest in the high SDI quintile (1 in 2) for both sexes. In 2017, the most common incident cancers in men were NMSC (4.3 million incident cases); tracheal, bronchus, and lung (TBL) cancer (1.5 million incident cases); and prostate cancer (1.3 million incident cases). The most common causes of cancer deaths and DALYs for men were TBL cancer (1.3 million deaths and 28.4 million DALYs), liver cancer (572000 deaths and 15.2 million DALYs), and stomach cancer (542000 deaths and 12.2 million DALYs). For women in 2017, the most common incident cancers were NMSC (3.3 million incident cases), breast cancer (1.9 million incident cases), and colorectal cancer (819000 incident cases). The leading causes of cancer deaths and DALYs for women were breast cancer (601000 deaths and 17.4 million DALYs), TBL cancer (596000 deaths and 12.6 million DALYs), and colorectal cancer (414000 deaths and 8.3 million DALYs). Conclusions and Relevance: The national epidemiological profiles of cancer burden in the GBD study show large heterogeneities, which are a reflection of different exposures to risk factors, economic settings, lifestyles, and access to care and screening. The GBD study can be used by policy makers and other stakeholders to develop and improve national and local cancer control in order to achieve the global targets and improve equity in cancer care. © 2019 American Medical Association. All rights reserved.
Published: 2019
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10. Global Burden of Cardiovascular Diseases and Risk Factors, 1990–2019

Author: Roth, GA, Mensah, GA, Johnson, CO, Addolorato, G, Ammirati, E, Baddour, LM, Barengo, NC, Beaton, AZ, Benjamin, EJ, Benziger, CP, Bonny, A, Brauer, M, Brodmann, M, Cahill, TJ, Carapetis, J, Catapano, AL, Chugh, SS, Cooper, LT, Coresh, J, Criqui, M, DeCleene, N, Eagle, KA, Emmons-Bell, S, Feigin, VL, Fernández-Solà, J, Fowkes, G, Gakidou, E, Grundy, SM, He, FJ, Howard, G, Hu, F, Inker, L, Karthikeyan, G, Kassebaum, N, Koroshetz, W, Lavie, C, Lloyd-Jones, D, Lu, HS, Mirijello, A, Temesgen, AM, Mokdad, A, Moran, AE, Muntner, P, Narula, J, Neal, B, Ntsekhe, M, Moraes de Oliveira, G, Otto, C, Owolabi, M, Pratt, M, Rajagopalan, S, Reitsma, M, Ribeiro, ALP, Rigotti, N, Rodgers, A, Sable, C, Shakil, S, Sliwa-Hahnle, K, Stark, B, Sundström, J, Timpel, P, Tleyjeh, IM, Valgimigli, M, Vos, T, Whelton, PK, Yacoub, M, Zuhlke, L, Murray, C, Fuster, V, Beaton, A, Carapetis, JR, Chugh, S, Criqui, MH, DeCleene, NK, Fernández-Sola, J, Fowkes, FGR, Kassebaum, NJ, Koroshetz, WJ, Misganaw, AT, Mokdad, AH, Oliveira, GMM, Otto, CM, Owolabi, MO, Reitsma, MB, Rigotti, NA, Sable, CA, Shakil, SS, Sliwa, K, Stark, BA, Tleyjeh, II, Zuhlke, LJ, Abbasi-Kangevari, M, Abdi, A, Abedi, A, Aboyans, V, Abrha, WA, Abu-Gharbieh, E, Abushouk, AI, Acharya, D, Adair, T, Adebayo, OM, Ademi, Z, Advani, SM, Afshari, K, Afshin, A, Agarwal, G, Agasthi, P, Ahmad, S, Ahmadi, S, Ahmed, MB, Aji, B, Akalu, Y, Akande-Sholabi, W, Aklilu, A, Akunna, CJ, Alahdab, F, Al-Eyadhy, A, Alhabib, KF, Alif, SM, Alipour, V, Aljunid, SM, Alla, F, Almasi-Hashiani, A, Almustanyir, S, Al-Raddadi, RM, Amegah, AK, Amini, S, Aminorroaya, A, Amu, H, Amugsi, DA, Ancuceanu, R, Anderlini, D, Andrei, T, Andrei, CL, Ansari-Moghaddam, A, Anteneh, ZA, Antonazzo, IC, Antony, B, Anwer, R, Appiah, LT, Arabloo, J, Ärnlöv, J, Artanti, KD, Ataro, Z, Ausloos, M, Avila-Burgos, L, Awan, AT, Awoke, MA, Ayele, HT, Ayza, MA, Azari, S, B, DB, Baheiraei, N, Baig, AA, Bakhtiari, A, Banach, M, Banik, PC, Baptista, EA, Barboza, MA, Barua, L, Basu, S, Bedi, N, Béjot, Y, Bennett, DA, Bensenor, IM, Berman, AE, Bezabih, YM, Bhagavathula, AS, Bhaskar, S, Bhattacharyya, K, Bijani, A, Bikbov, B, Birhanu, MM, Boloor, A, Brant, LC, Brenner, H, Briko, NI, Butt, ZA, Caetano dos Santos, FL, Cahill, LE, Cahuana-Hurtado, L, Cámera, LA, Campos-Nonato, IR, Cantu-Brito, C, Car, J, Carrero, JJ, Carvalho, F, Castañeda-Orjuela, CA, Catalá-López, F, Cerin, E, Charan, J, Chattu, VK, Chen, S, Chin, KL, Choi, J-YJ, Chu, D-T, Chung, S-C, Cirillo, M, Coffey, S, Conti, S, Costa, VM, Cundiff, DK, Dadras, O, Dagnew, B, Dai, X, Damasceno, AAM, Dandona, L, Dandona, R, Davletov, K, De la Cruz-Góngora, V, De la Hoz, FP, De Neve, J-W, Denova-Gutiérrez, E, Derbew Molla, M, Derseh, BT, Desai, R, Deuschl, G, Dharmaratne, SD, Dhimal, M, Dhungana, RR, Dianatinasab, M, Diaz, D, Djalalinia, S, Dokova, K, Douiri, A, Duncan, BB, Duraes, AR, Eagan, AW, Ebtehaj, S, Eftekhari, A, Eftekharzadeh, S, Ekholuenetale, M, El Nahas, N, Elgendy, IY, Elhadi, M, El-Jaafary, SI, Esteghamati, S, Etisso, AE, Eyawo, O, Fadhil, I, Faraon, EJA, Faris, PS, Farwati, M, Farzadfar, F, Fernandes, E, Fernandez Prendes, C, Ferrara, P, Filip, I, Fischer, F, Flood, D, Fukumoto, T, Gad, MM, Gaidhane, S, Ganji, M, Garg, J, Gebre, AK, Gebregiorgis, BG, Gebregzabiher, KZ, Gebremeskel, GG, Getacher, L, Obsa, AG, Ghajar, A, Ghashghaee, A, Ghith, N, Giampaoli, S, Gilani, SA, Gill, PS, Gillum, RF, Glushkova, EV, Gnedovskaya, EV, Golechha, M, Gonfa, KB, Goudarzian, AH, Goulart, AC, Guadamuz, JS, Guha, A, Guo, Y, Gupta, R, Hachinski, V, Hafezi-Nejad, N, Haile, TG, Hamadeh, RR, Hamidi, S, Hankey, GJ, Hargono, A, Hartono, RK, Hashemian, M, Hashi, A, Hassan, S, Hassen, HY, Havmoeller, RJ, Hay, SI, Hayat, K, Heidari, G, Herteliu, C, Holla, R, Hosseini, M, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Househ, M, Huang, J, Humayun, A, Iavicoli, I, Ibeneme, CU, Ibitoye, SE, Ilesanmi, OS, Ilic, IM, Ilic, MD, Iqbal, U, Irvani, SSN, Shariful Islam, Sheikh, Islam, RM, Iso, H, Iwagami, M, Jain, V, Javaheri, T, Jayapal, SK, Jayaram, S, Jayawardena, R, Jeemon, P, Jha, RP, Jonas, JB, Jonnagaddala, J, Joukar, F, Jozwiak, JJ, Jürisson, M, Kabir, A, Kahlon, T, Kalani, R, Kalhor, R, Kamath, A, Kamel, I, Kandel, H, Kandel, A, Karch, A, Kasa, AS, Katoto, PDMC, Kayode, GA, Khader, YS, Khammarnia, M, Khan, MS, Khan, MN, Khan, M, Khan, EA, Khatab, K, Kibria, GMA, Kim, YJ, Kim, GR, Kimokoti, RW, Kisa, S, Kisa, A, Kivimäki, M, Kolte, D, Koolivand, A, Korshunov, VA, Koulmane Laxminarayana, SL, Koyanagi, A, Krishan, K, Krishnamoorthy, V, Kuate Defo, B, Kucuk Bicer, B, Kulkarni, V, Kumar, GA, Kumar, N, Kurmi, OP, Kusuma, D, Kwan, GF, La Vecchia, C, Lacey, B, Lallukka, T, Lan, Q, Lasrado, S, Lassi, ZS, Lauriola, P, Lawrence, WR, Laxmaiah, A, LeGrand, KE, Li, M-C, Li, B, Li, S, Lim, SS, Lim, L-L, Lin, H, Lin, Z, Lin, R-T, Liu, X, Lopez, AD, Lorkowski, S, Lotufo, PA, Lugo, A, M, NK, Madotto, F, Mahmoudi, M, Majeed, A, Malekzadeh, R, Malik, AA, Mamun, AA, Manafi, N, Mansournia, MA, Mantovani, LG, Martini, S, Mathur, MR, Mazzaglia, G, Mehata, S, Mehndiratta, MM, Meier, T, Menezes, RG, Meretoja, A, Mestrovic, T, Miazgowski, B, Miazgowski, T, Michalek, IM, Miller, TR, Mirrakhimov, EM, Mirzaei, H, Moazen, B, Moghadaszadeh, M, Mohammad, Y, Mohammad, DK, Mohammed, S, Mohammed, MA, Mokhayeri, Y, Molokhia, M, Montasir, AA, Moradi, G, Moradzadeh, R, Moraga, P, Morawska, L, Moreno Velásquez, I, Morze, J, Mubarik, S, Muruet, W, Musa, KI, Nagarajan, AJ, Nalini, M, Nangia, V, Naqvi, AA, Narasimha Swamy, S, Nascimento, BR, Nayak, VC, Nazari, J, Nazarzadeh, M, Negoi, RI, Neupane Kandel, S, Nguyen, HLT, Nixon, MR, Norrving, B, Noubiap, JJ, Nouthe, BE, Nowak, C, Odukoya, OO, Ogbo, FA, Olagunju, AT, Orru, H, Ortiz, A, Ostroff, SM, Padubidri, JR, Palladino, R, Pana, A, Panda-Jonas, S, Parekh, U, Park, E-C, Parvizi, M, Pashazadeh Kan, F, Patel, UK, Pathak, M, Paudel, R, Pepito, VCF, Perianayagam, A, Perico, N, Pham, HQ, Pilgrim, T, Piradov, MA, Pishgar, F, Podder, V, Polibin, RV, Pourshams, A, Pribadi, DRA, Rabiee, N, Rabiee, M, Radfar, A, Rafiei, A, Rahim, F, Rahimi-Movaghar, V, Ur Rahman, MH, Rahman, Muhammad, Rahmani, AM, Rakovac, I, Ram, P, Ramalingam, S, Rana, J, Ranasinghe, P, Rao, SJ, Rathi, P, Rawal, L, Rawasia, WF, Rawassizadeh, R, Remuzzi, G, Renzaho, AMN, Rezapour, A, Riahi, SM, Roberts-Thomson, RL, Roever, L, Rohloff, P, Romoli, M, Roshandel, G, Rwegerera, GM, Saadatagah, S, Saber-Ayad, MM, Sabour, S, Sacco, S, Sadeghi, M, Saeedi Moghaddam, S, Safari, S, Sahebkar, A, Salehi, S, Salimzadeh, H, Samaei, M, Samy, AM, Santos, IS, Santric-Milicevic, MM, Sarrafzadegan, N, Sarveazad, A, Sathish, T, Sawhney, M, Saylan, M, Schmidt, MI, Schutte, AE, Senthilkumaran, S, Sepanlou, SG, Sha, F, Shahabi, S, Shahid, I, Shaikh, MA, Shamali, M, Shamsizadeh, M, Shawon, MSR, Sheikh, A, Shigematsu, M, Shin, M-J, Shin, JI, Shiri, R, Shiue, I, Shuval, K, Siabani, S, Siddiqi, TJ, Silva, DAS, Singh, JA, Mtech, AS, Skryabin, VY, Skryabina, AA, Soheili, A, Spurlock, EE, Stockfelt, L, Stortecky, S, Stranges, S, Suliankatchi Abdulkader, R, Tadbiri, H, Tadesse, EG, Tadesse, DB, Tajdini, M, Tariqujjaman, M, Teklehaimanot, BF, Temsah, M-H, Tesema, AK, Thakur, B, Thankappan, KR, Thapar, R, Thrift, AG, Timalsina, B, Tonelli, M, Touvier, M, Tovani-Palone, MR, Tripathi, A, Tripathy, JP, Truelsen, TC, Tsegay, GM, Tsegaye, GW, Tsilimparis, N, Tusa, BS, Tyrovolas, S, Umapathi, KK, Unim, B, Unnikrishnan, B, Usman, MS, Vaduganathan, M, Valdez, PR, Vasankari, TJ, Velazquez, DZ, Venketasubramanian, N, Vu, GT, Vujcic, IS, Waheed, Y, Wang, Y, Wang, F, Wei, J, Weintraub, RG, Weldemariam, AH, Westerman, R, Winkler, AS, Wiysonge, CS, Wolfe, CDA, Wubishet, BL, Xu, G, Yadollahpour, A, Yamagishi, K, Yan, LL, Yandrapalli, S, Yano, Y, Yatsuya, H, Yeheyis, TY, Yeshaw, Y, Yilgwan, CS, Yonemoto, N, Yu, C, Yusefzadeh, H, Zachariah, G, Zaman, SB, Zaman, MS, Zamanian, M, Zand, R, Zandifar, A, Zarghi, A, Zastrozhin, MS, Zastrozhina, A, Zhang, Z-J, Zhang, Y, Zhang, W, Zhong, C, Zou, Z, Zuniga, YMH, Murray, CJL, Roth, GA, Mensah, GA, Johnson, CO, Addolorato, G, Ammirati, E, Baddour, LM, Barengo, NC, Beaton, AZ, Benjamin, EJ, Benziger, CP, Bonny, A, Brauer, M, Brodmann, M, Cahill, TJ, Carapetis, J, Catapano, AL, Chugh, SS, Cooper, LT, Coresh, J, Criqui, M, DeCleene, N, Eagle, KA, Emmons-Bell, S, Feigin, VL, Fernández-Solà, J, Fowkes, G, Gakidou, E, Grundy, SM, He, FJ, Howard, G, Hu, F, Inker, L, Karthikeyan, G, Kassebaum, N, Koroshetz, W, Lavie, C, Lloyd-Jones, D, Lu, HS, Mirijello, A, Temesgen, AM, Mokdad, A, Moran, AE, Muntner, P, Narula, J, Neal, B, Ntsekhe, M, Moraes de Oliveira, G, Otto, C, Owolabi, M, Pratt, M, Rajagopalan, S, Reitsma, M, Ribeiro, ALP, Rigotti, N, Rodgers, A, Sable, C, Shakil, S, Sliwa-Hahnle, K, Stark, B, Sundström, J, Timpel, P, Tleyjeh, IM, Valgimigli, M, Vos, T, Whelton, PK, Yacoub, M, Zuhlke, L, Murray, C, Fuster, V, Beaton, A, Carapetis, JR, Chugh, S, Criqui, MH, DeCleene, NK, Fernández-Sola, J, Fowkes, FGR, Kassebaum, NJ, Koroshetz, WJ, Misganaw, AT, Mokdad, AH, Oliveira, GMM, Otto, CM, Owolabi, MO, Reitsma, MB, Rigotti, NA, Sable, CA, Shakil, SS, Sliwa, K, Stark, BA, Tleyjeh, II, Zuhlke, LJ, Abbasi-Kangevari, M, Abdi, A, Abedi, A, Aboyans, V, Abrha, WA, Abu-Gharbieh, E, Abushouk, AI, Acharya, D, Adair, T, Adebayo, OM, Ademi, Z, Advani, SM, Afshari, K, Afshin, A, Agarwal, G, Agasthi, P, Ahmad, S, Ahmadi, S, Ahmed, MB, Aji, B, Akalu, Y, Akande-Sholabi, W, Aklilu, A, Akunna, CJ, Alahdab, F, Al-Eyadhy, A, Alhabib, KF, Alif, SM, Alipour, V, Aljunid, SM, Alla, F, Almasi-Hashiani, A, Almustanyir, S, Al-Raddadi, RM, Amegah, AK, Amini, S, Aminorroaya, A, Amu, H, Amugsi, DA, Ancuceanu, R, Anderlini, D, Andrei, T, Andrei, CL, Ansari-Moghaddam, A, Anteneh, ZA, Antonazzo, IC, Antony, B, Anwer, R, Appiah, LT, Arabloo, J, Ärnlöv, J, Artanti, KD, Ataro, Z, Ausloos, M, Avila-Burgos, L, Awan, AT, Awoke, MA, Ayele, HT, Ayza, MA, Azari, S, B, DB, Baheiraei, N, Baig, AA, Bakhtiari, A, Banach, M, Banik, PC, Baptista, EA, Barboza, MA, Barua, L, Basu, S, Bedi, N, Béjot, Y, Bennett, DA, Bensenor, IM, Berman, AE, Bezabih, YM, Bhagavathula, AS, Bhaskar, S, Bhattacharyya, K, Bijani, A, Bikbov, B, Birhanu, MM, Boloor, A, Brant, LC, Brenner, H, Briko, NI, Butt, ZA, Caetano dos Santos, FL, Cahill, LE, Cahuana-Hurtado, L, Cámera, LA, Campos-Nonato, IR, Cantu-Brito, C, Car, J, Carrero, JJ, Carvalho, F, Castañeda-Orjuela, CA, Catalá-López, F, Cerin, E, Charan, J, Chattu, VK, Chen, S, Chin, KL, Choi, J-YJ, Chu, D-T, Chung, S-C, Cirillo, M, Coffey, S, Conti, S, Costa, VM, Cundiff, DK, Dadras, O, Dagnew, B, Dai, X, Damasceno, AAM, Dandona, L, Dandona, R, Davletov, K, De la Cruz-Góngora, V, De la Hoz, FP, De Neve, J-W, Denova-Gutiérrez, E, Derbew Molla, M, Derseh, BT, Desai, R, Deuschl, G, Dharmaratne, SD, Dhimal, M, Dhungana, RR, Dianatinasab, M, Diaz, D, Djalalinia, S, Dokova, K, Douiri, A, Duncan, BB, Duraes, AR, Eagan, AW, Ebtehaj, S, Eftekhari, A, Eftekharzadeh, S, Ekholuenetale, M, El Nahas, N, Elgendy, IY, Elhadi, M, El-Jaafary, SI, Esteghamati, S, Etisso, AE, Eyawo, O, Fadhil, I, Faraon, EJA, Faris, PS, Farwati, M, Farzadfar, F, Fernandes, E, Fernandez Prendes, C, Ferrara, P, Filip, I, Fischer, F, Flood, D, Fukumoto, T, Gad, MM, Gaidhane, S, Ganji, M, Garg, J, Gebre, AK, Gebregiorgis, BG, Gebregzabiher, KZ, Gebremeskel, GG, Getacher, L, Obsa, AG, Ghajar, A, Ghashghaee, A, Ghith, N, Giampaoli, S, Gilani, SA, Gill, PS, Gillum, RF, Glushkova, EV, Gnedovskaya, EV, Golechha, M, Gonfa, KB, Goudarzian, AH, Goulart, AC, Guadamuz, JS, Guha, A, Guo, Y, Gupta, R, Hachinski, V, Hafezi-Nejad, N, Haile, TG, Hamadeh, RR, Hamidi, S, Hankey, GJ, Hargono, A, Hartono, RK, Hashemian, M, Hashi, A, Hassan, S, Hassen, HY, Havmoeller, RJ, Hay, SI, Hayat, K, Heidari, G, Herteliu, C, Holla, R, Hosseini, M, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Househ, M, Huang, J, Humayun, A, Iavicoli, I, Ibeneme, CU, Ibitoye, SE, Ilesanmi, OS, Ilic, IM, Ilic, MD, Iqbal, U, Irvani, SSN, Shariful Islam, Sheikh, Islam, RM, Iso, H, Iwagami, M, Jain, V, Javaheri, T, Jayapal, SK, Jayaram, S, Jayawardena, R, Jeemon, P, Jha, RP, Jonas, JB, Jonnagaddala, J, Joukar, F, Jozwiak, JJ, Jürisson, M, Kabir, A, Kahlon, T, Kalani, R, Kalhor, R, Kamath, A, Kamel, I, Kandel, H, Kandel, A, Karch, A, Kasa, AS, Katoto, PDMC, Kayode, GA, Khader, YS, Khammarnia, M, Khan, MS, Khan, MN, Khan, M, Khan, EA, Khatab, K, Kibria, GMA, Kim, YJ, Kim, GR, Kimokoti, RW, Kisa, S, Kisa, A, Kivimäki, M, Kolte, D, Koolivand, A, Korshunov, VA, Koulmane Laxminarayana, SL, Koyanagi, A, Krishan, K, Krishnamoorthy, V, Kuate Defo, B, Kucuk Bicer, B, Kulkarni, V, Kumar, GA, Kumar, N, Kurmi, OP, Kusuma, D, Kwan, GF, La Vecchia, C, Lacey, B, Lallukka, T, Lan, Q, Lasrado, S, Lassi, ZS, Lauriola, P, Lawrence, WR, Laxmaiah, A, LeGrand, KE, Li, M-C, Li, B, Li, S, Lim, SS, Lim, L-L, Lin, H, Lin, Z, Lin, R-T, Liu, X, Lopez, AD, Lorkowski, S, Lotufo, PA, Lugo, A, M, NK, Madotto, F, Mahmoudi, M, Majeed, A, Malekzadeh, R, Malik, AA, Mamun, AA, Manafi, N, Mansournia, MA, Mantovani, LG, Martini, S, Mathur, MR, Mazzaglia, G, Mehata, S, Mehndiratta, MM, Meier, T, Menezes, RG, Meretoja, A, Mestrovic, T, Miazgowski, B, Miazgowski, T, Michalek, IM, Miller, TR, Mirrakhimov, EM, Mirzaei, H, Moazen, B, Moghadaszadeh, M, Mohammad, Y, Mohammad, DK, Mohammed, S, Mohammed, MA, Mokhayeri, Y, Molokhia, M, Montasir, AA, Moradi, G, Moradzadeh, R, Moraga, P, Morawska, L, Moreno Velásquez, I, Morze, J, Mubarik, S, Muruet, W, Musa, KI, Nagarajan, AJ, Nalini, M, Nangia, V, Naqvi, AA, Narasimha Swamy, S, Nascimento, BR, Nayak, VC, Nazari, J, Nazarzadeh, M, Negoi, RI, Neupane Kandel, S, Nguyen, HLT, Nixon, MR, Norrving, B, Noubiap, JJ, Nouthe, BE, Nowak, C, Odukoya, OO, Ogbo, FA, Olagunju, AT, Orru, H, Ortiz, A, Ostroff, SM, Padubidri, JR, Palladino, R, Pana, A, Panda-Jonas, S, Parekh, U, Park, E-C, Parvizi, M, Pashazadeh Kan, F, Patel, UK, Pathak, M, Paudel, R, Pepito, VCF, Perianayagam, A, Perico, N, Pham, HQ, Pilgrim, T, Piradov, MA, Pishgar, F, Podder, V, Polibin, RV, Pourshams, A, Pribadi, DRA, Rabiee, N, Rabiee, M, Radfar, A, Rafiei, A, Rahim, F, Rahimi-Movaghar, V, Ur Rahman, MH, Rahman, Muhammad, Rahmani, AM, Rakovac, I, Ram, P, Ramalingam, S, Rana, J, Ranasinghe, P, Rao, SJ, Rathi, P, Rawal, L, Rawasia, WF, Rawassizadeh, R, Remuzzi, G, Renzaho, AMN, Rezapour, A, Riahi, SM, Roberts-Thomson, RL, Roever, L, Rohloff, P, Romoli, M, Roshandel, G, Rwegerera, GM, Saadatagah, S, Saber-Ayad, MM, Sabour, S, Sacco, S, Sadeghi, M, Saeedi Moghaddam, S, Safari, S, Sahebkar, A, Salehi, S, Salimzadeh, H, Samaei, M, Samy, AM, Santos, IS, Santric-Milicevic, MM, Sarrafzadegan, N, Sarveazad, A, Sathish, T, Sawhney, M, Saylan, M, Schmidt, MI, Schutte, AE, Senthilkumaran, S, Sepanlou, SG, Sha, F, Shahabi, S, Shahid, I, Shaikh, MA, Shamali, M, Shamsizadeh, M, Shawon, MSR, Sheikh, A, Shigematsu, M, Shin, M-J, Shin, JI, Shiri, R, Shiue, I, Shuval, K, Siabani, S, Siddiqi, TJ, Silva, DAS, Singh, JA, Mtech, AS, Skryabin, VY, Skryabina, AA, Soheili, A, Spurlock, EE, Stockfelt, L, Stortecky, S, Stranges, S, Suliankatchi Abdulkader, R, Tadbiri, H, Tadesse, EG, Tadesse, DB, Tajdini, M, Tariqujjaman, M, Teklehaimanot, BF, Temsah, M-H, Tesema, AK, Thakur, B, Thankappan, KR, Thapar, R, Thrift, AG, Timalsina, B, Tonelli, M, Touvier, M, Tovani-Palone, MR, Tripathi, A, Tripathy, JP, Truelsen, TC, Tsegay, GM, Tsegaye, GW, Tsilimparis, N, Tusa, BS, Tyrovolas, S, Umapathi, KK, Unim, B, Unnikrishnan, B, Usman, MS, Vaduganathan, M, Valdez, PR, Vasankari, TJ, Velazquez, DZ, Venketasubramanian, N, Vu, GT, Vujcic, IS, Waheed, Y, Wang, Y, Wang, F, Wei, J, Weintraub, RG, Weldemariam, AH, Westerman, R, Winkler, AS, Wiysonge, CS, Wolfe, CDA, Wubishet, BL, Xu, G, Yadollahpour, A, Yamagishi, K, Yan, LL, Yandrapalli, S, Yano, Y, Yatsuya, H, Yeheyis, TY, Yeshaw, Y, Yilgwan, CS, Yonemoto, N, Yu, C, Yusefzadeh, H, Zachariah, G, Zaman, SB, Zaman, MS, Zamanian, M, Zand, R, Zandifar, A, Zarghi, A, Zastrozhin, MS, Zastrozhina, A, Zhang, Z-J, Zhang, Y, Zhang, W, Zhong, C, Zou, Z, Zuniga, YMH, and Murray, CJL
Abstract: Cardiovascular diseases (CVDs), principally ischemic heart disease (IHD) and stroke, are the leading cause of global mortality and a major contributor to disability. This paper reviews the magnitude of total CVD burden, including 13 underlying causes of cardiovascular death and 9 related risk factors, using estimates from the Global Burden of Disease (GBD) Study 2019. GBD, an ongoing multinational collaboration to provide comparable and consistent estimates of population health over time, used all available population-level data sources on incidence, prevalence, case fatality, mortality, and health risks to produce estimates for 204 countries and territories from 1990 to 2019.Prevalent cases of total CVD nearly doubled from 271 million (95% uncertainty interval [UI]: 257 to 285 million) in 1990 to 523 million (95% UI: 497 to 550 million) in 2019, and the number of CVD deaths steadily increased from 12.1 million (95% UI:11.4 to 12.6 million) in 1990, reaching 18.6 million (95% UI: 17.1 to 19.7 million) in 2019. The global trends for disability-adjusted life years (DALYs) and years of life lost also increased significantly, and years lived with disability doubled from 17.7 million (95% UI: 12.9 to 22.5 million) to 34.4 million (95% UI:24.9 to 43.6 million) over that period. The total number of DALYs due to IHD has risen steadily since 1990, reaching 182 million (95% UI: 170 to 194 million) DALYs, 9.14 million (95% UI: 8.40 to 9.74 million) deaths in the year 2019, and 197 million (95% UI: 178 to 220 million) prevalent cases of IHD in 2019. The total number of DALYs due to stroke has risen steadily since 1990, reaching 143 million (95% UI: 133 to 153 million) DALYs, 6.55 million (95% UI: 6.00 to 7.02 million) deaths in the year 2019, and 101 million (95% UI: 93.2 to 111 million) prevalent cases of stroke in 2019.Cardiovascular diseases remain the leading cause of disease burden in the world. CVD burden continues its decades-long rise for almost all countries outside hi
Published: 2020

11. The global, regional, and national burden of oesophageal cancer and its attributable risk factors in 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017

Author: Kamangar, F, Nasrollahzadeh, D, Safiri, S, Sepanlou, SG, Fitzmaurice, C, Ikuta, KS, Bisignano, C, Islami, F, Roshandel, G, Lim, SS, Abolhassani, H, Abu-Gharbieh, E, Adedoyin, RA, Advani, SM, Ahmed, MB, Aichour, MTE, Akinyemiju, T, Akunna, CJ, Alahdab, F, Alipour, V, Almasi-Hashiani, A, Almulhim, AM, Anber, NH, Ansari-Moghaddam, A, Arabloo, J, Arab-Zozani, M, Awedew, AF, Badawi, A, Berfield, KSS, Berhe, K, Bhattacharyya, K, Biondi, A, Bjorge, T, Borzi, AM, Bosetti, C, Carreras, G, Carvalho, F, Castro, C, Chu, D-T, Costa, VM, Dagnew, B, Gela, JD, Daryani, A, Demeke, FM, Demoz, GT, Dianatinasab, M, Elbarazi, I, Emamian, MH, Etemadi, A, Faris, PS, Fernandes, E, Filip, I, Fischer, F, Gad, MM, Gallus, S, Gebre, AK, Gebrehiwot, TT, Gebremeskel, GG, Gebresillassie, BM, Ghasemi-kebria, F, Ghashghaee, A, Ghith, N, Golechha, M, Gorini, G, Gupta, R, Hafezi-Nejad, N, Haj-Mirzaian, A, Harvey, JD, Hashemian, M, Hassen, HY, Hay, SI, Henok, A, Hoang, CL, Hosgood, HD, Househ, M, Ilesanmi, OS, Ilic, MD, Irvani, SSN, Jain, C, James, SL, Jee, SH, Jha, RP, Joukar, F, Kabir, A, Kasaeian, A, Kassaw, MW, Kaur, S, Kengne, AP, Kerboua, E, Khader, YS, Khalilov, R, Khan, EA, Khoja, AT, Kocarnik, JM, Komaki, H, Kumar, V, La Vecchia, C, Lasrado, S, Li, B, Lopez, AD, Majeed, A, Manafi, N, Manda, AL, Mansour-Ghanaei, F, Mathur, MR, Mehta, V, Mehta, D, Mendoza, W, Mithra, P, Mohammad, KA, Mohammadian-Hafshejani, A, Mohammadpourhodki, R, Mohammed, JA, Mohebi, F, Mokdad, AH, Monasta, L, Moosavi, D, Moosazadeh, M, Moradi, G, Moradpour, F, Moradzadeh, R, Naik, G, Negoi, I, Nggada, HA, Nguyen, HLT, Nikbakhsh, R, Nixon, MR, Olagunju, AT, Olagunju, TO, Padubidri, JR, Pakshir, K, Patel, S, Pathak, M, Pham, HQ, Pourshams, A, Rabiee, N, Rabiee, M, Radfar, A, Rafiei, A, Ramezanzadeh, K, Rath, GK, Rathi, P, Rawaf, S, Rawaf, DL, Rezaei, N, Roro, EM, Saad, AM, Salimzadeh, H, Samy, AM, Sartorius, B, Sarveazad, A, Sekerija, M, Sha, F, Shamsizadeh, M, Sheikhbahaei, S, Shirkoohi, R, Malleshappa, SKS, Singh, JA, Sinha, DN, Smarandache, C-G, Soshnikov, S, Suleria, HAR, Tadesse, DB, Tesfay, BE, Thakur, B, Traini, E, Tran, KB, Tran, BX, Ullah, I, Vacante, M, Veisani, Y, Vujcic, IS, Weldesamuel, GT, Xu, R, Yazdi-Feyzabadi, V, Yuce, D, Zadnik, V, Zaidi, Z, Zhang, Z-J, Malekzadeh, R, Naghavi, M, Kamangar, F, Nasrollahzadeh, D, Safiri, S, Sepanlou, SG, Fitzmaurice, C, Ikuta, KS, Bisignano, C, Islami, F, Roshandel, G, Lim, SS, Abolhassani, H, Abu-Gharbieh, E, Adedoyin, RA, Advani, SM, Ahmed, MB, Aichour, MTE, Akinyemiju, T, Akunna, CJ, Alahdab, F, Alipour, V, Almasi-Hashiani, A, Almulhim, AM, Anber, NH, Ansari-Moghaddam, A, Arabloo, J, Arab-Zozani, M, Awedew, AF, Badawi, A, Berfield, KSS, Berhe, K, Bhattacharyya, K, Biondi, A, Bjorge, T, Borzi, AM, Bosetti, C, Carreras, G, Carvalho, F, Castro, C, Chu, D-T, Costa, VM, Dagnew, B, Gela, JD, Daryani, A, Demeke, FM, Demoz, GT, Dianatinasab, M, Elbarazi, I, Emamian, MH, Etemadi, A, Faris, PS, Fernandes, E, Filip, I, Fischer, F, Gad, MM, Gallus, S, Gebre, AK, Gebrehiwot, TT, Gebremeskel, GG, Gebresillassie, BM, Ghasemi-kebria, F, Ghashghaee, A, Ghith, N, Golechha, M, Gorini, G, Gupta, R, Hafezi-Nejad, N, Haj-Mirzaian, A, Harvey, JD, Hashemian, M, Hassen, HY, Hay, SI, Henok, A, Hoang, CL, Hosgood, HD, Househ, M, Ilesanmi, OS, Ilic, MD, Irvani, SSN, Jain, C, James, SL, Jee, SH, Jha, RP, Joukar, F, Kabir, A, Kasaeian, A, Kassaw, MW, Kaur, S, Kengne, AP, Kerboua, E, Khader, YS, Khalilov, R, Khan, EA, Khoja, AT, Kocarnik, JM, Komaki, H, Kumar, V, La Vecchia, C, Lasrado, S, Li, B, Lopez, AD, Majeed, A, Manafi, N, Manda, AL, Mansour-Ghanaei, F, Mathur, MR, Mehta, V, Mehta, D, Mendoza, W, Mithra, P, Mohammad, KA, Mohammadian-Hafshejani, A, Mohammadpourhodki, R, Mohammed, JA, Mohebi, F, Mokdad, AH, Monasta, L, Moosavi, D, Moosazadeh, M, Moradi, G, Moradpour, F, Moradzadeh, R, Naik, G, Negoi, I, Nggada, HA, Nguyen, HLT, Nikbakhsh, R, Nixon, MR, Olagunju, AT, Olagunju, TO, Padubidri, JR, Pakshir, K, Patel, S, Pathak, M, Pham, HQ, Pourshams, A, Rabiee, N, Rabiee, M, Radfar, A, Rafiei, A, Ramezanzadeh, K, Rath, GK, Rathi, P, Rawaf, S, Rawaf, DL, Rezaei, N, Roro, EM, Saad, AM, Salimzadeh, H, Samy, AM, Sartorius, B, Sarveazad, A, Sekerija, M, Sha, F, Shamsizadeh, M, Sheikhbahaei, S, Shirkoohi, R, Malleshappa, SKS, Singh, JA, Sinha, DN, Smarandache, C-G, Soshnikov, S, Suleria, HAR, Tadesse, DB, Tesfay, BE, Thakur, B, Traini, E, Tran, KB, Tran, BX, Ullah, I, Vacante, M, Veisani, Y, Vujcic, IS, Weldesamuel, GT, Xu, R, Yazdi-Feyzabadi, V, Yuce, D, Zadnik, V, Zaidi, Z, Zhang, Z-J, Malekzadeh, R, and Naghavi, M
Abstract: BACKGROUND: Oesophageal cancer is a common and often fatal cancer that has two main histological subtypes: oesophageal squamous cell carcinoma and oesophageal adenocarcinoma. Updated statistics on the incidence and mortality of oesophageal cancer, and on the disability-adjusted life-years (DALYs) caused by the disease, can assist policy makers in allocating resources for prevention, treatment, and care of oesophageal cancer. We report the latest estimates of these statistics for 195 countries and territories between 1990 and 2017, by age, sex, and Socio-demographic Index (SDI), using data from the Global Burden of Diseases, Injuries, and Risk Factors Study 2017 (GBD). METHODS: We used data from vital registration systems, vital registration-samples, verbal autopsy records, and cancer registries, combined with relevant modelling, to estimate the mortality, incidence, and burden of oesophageal cancer from 1990 to 2017. Mortality-to-incidence ratios (MIRs) were estimated and fed into a Cause of Death Ensemble model (CODEm) including risk factors. MIRs were used for mortality and non-fatal modelling. Estimates of DALYs attributable to the main risk factors of oesophageal cancer available in GBD were also calculated. The proportion of oesophageal squamous cell carcinoma to all oesophageal cancers was extracted by use of publicly available data, and its variation was examined against SDI, the Healthcare Access and Quality (HAQ) Index, and available risk factors in GBD that are specific for oesophageal squamous cell carcinoma (eg, unimproved water source and indoor air pollution) and for oesophageal adenocarcinoma (gastro-oesophageal reflux disease). FINDINGS: There were 473 000 (95% uncertainty interval [95% UI] 459 000-485 000) new cases of oesophageal cancer and 436 000 (425 000-448 000) deaths due to oesophageal cancer in 2017. Age-standardised incidence was 5·9 (5·7-6·1) per 100 000 population and age-standardised mortality was 5·5 (5·3-5·6) per 100 000. Oesophageal c
Published: 2020

12. 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, 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Andre, Farzadfar, Farshad, Fazaeli, Ali Akbar, Feigin, Valery L, Fentahun, Netsanet, Fereshtehnejad, Seyed-Mohammad, Fernandes, Eduarda, Fernandes, Joao C, Ferrari, Alize J, Ferreira, Manuela L, Filip, Irina, Fischer, Florian, Fitzmaurice, Christina, Foigt, Nataliya A, Foreman, Kyle J, Frank, Tahvi D, Fukumoto, Takeshi, Fullman, Nancy, Fürst, Thoma, Furtado, João M, Gakidou, Emmanuela, Gall, Seana, Gallus, Silvano, Ganji, Morsaleh, Garcia-Basteiro, Alberto L, Gardner, William M, Gebre, Abadi Kahsu, Gebremedhin, Amanuel Tesfay, Gebremichael, Teklu Gebrehiwo, Gelano, Tilayie Feto, Geleijnse, Johanna M, Genova-Maleras, Ricard, Geramo, Yilma Chisha Dea, Gething, Peter W, Gezae, Kebede Embaye, Ghadami, Mohammad Rasoul, Ghadiri, Keyghobad, Ghasemi-Kasman, Maryam, Ghimire, Mamata, Ghoshal, Aloke Gopal, Gill, Paramjit Singh, Gill, Tiffany K, Ginawi, Ibrahim Abdelmageed, Giussani, Giorgia, Gnedovskaya, Elena V, Goldberg, Ellen M, Goli, Sriniva, Gómez-Dantés, Hector, Gona, Philimon N, Gopalani, Sameer Vali, Gorman, Taren M, Goulart, Alessandra C, Goulart, Bárbara Niegia Garcia, Grada, Ayman, Grosso, Giuseppe, Gugnani, Harish Chander, Guillemin, Franci, Guo, Yuming, Gupta, Prakash C, Gupta, Rahul, Gupta, Rajeev, Gupta, Tanush, Gutiérrez, Reyna Alma, Gyawali, Bishal, Haagsma, Juanita A, Hachinski, Vladimir, Hafezi-Nejad, Nima, Haghparast Bidgoli, Hassan, Hagos, Tekleberhan B, Hailegiyorgis, Tewodros Tesfa, Haj-Mirzaian, Arvin, Haj-Mirzaian, Arya, Hamadeh, Randah R, Hamidi, Samer, Handal, Alexis J, Hankey, Graeme J, Hao, Yuantao, Harb, Hilda L, Harikrishnan, Sivadasanpillai, Haririan, Hamidreza, Haro, Josep Maria, Hassankhani, Hadi, Hassen, Hamid Yimam, Havmoeller, Rasmu, Hay, Roderick J, Hay, Simon I, Hedayatizadeh-Omran, Akbar, Heibati, Behzad, Hendrie, Delia, Henok, Andualem, Heredia-Pi, Ileana, Herteliu, Claudiu, Heydarpour, Fatemeh, Heydarpour, Pouria, Hibstu, Desalegn Tsegaw, 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, 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

13. Socioeconomic patterns of smoking cessation behavior in low and middle-income countries: Emerging evidence from the Global Adult Tobacco Surveys and International Tobacco Control Surveys

Author: Mathur, MR, Nargis, N, Yong, H-H, Driezen, P, Mbulo, L, Zhao, L, Fong, GT, Thompson, ME, Borland, R, Palipudi, KM, Giovino, GA, Thrasher, JF, Siahpush, M, Mathur, MR, Nargis, N, Yong, H-H, Driezen, P, Mbulo, L, Zhao, L, Fong, GT, Thompson, ME, Borland, R, Palipudi, KM, Giovino, GA, Thrasher, JF, and Siahpush, M
Abstract: INTRODUCTION: Tobacco smoking is often more prevalent among those with lower socio-economic status (SES) in high-income countries, which can be driven by the inequalities in initiation and cessation of smoking. Smoking is a leading contributor to socio-economic disparities in health. To date, the evidence for any socio-economic inequality in smoking cessation is lacking, especially in low- and middle-income countries (LMICs). This study examined the association between cessation behaviours and SES of smokers from eight LMICs. METHODS: Data among former and current adult smokers aged 18 and older came from contemporaneous Global Adult Tobacco Surveys (2008-2011) and the International Tobacco Control Surveys (2009-2013) conducted in eight LMICs (Bangladesh, Brazil, China, India, Mexico, Malaysia, Thailand and Uruguay). Adjusted odds ratios (AORs) of successful quitting in the past year by SES indicators (household income/wealth, education, employment status, and rural-urban residence) were estimated using multivariable logistic regression controlling for socio-demographics and average tobacco product prices. A random effects meta-analysis was used to combine the estimates of AORs pooled across countries and two concurrent surveys for each country. RESULTS: Estimated quit rates among smokers (both daily and occasional) varied widely across countries. Meta-analysis of pooled AORs across countries and data sources indicated that there was no clear evidence of an association between SES indicators and successful quitting. The only exception was employed smokers, who were less likely to quit than their non-employed counterparts, which included students, homemakers, retirees, and the unemployed (pooled AOR≈0.8, p<0.10). CONCLUSION: Lack of clear evidence of the impact of lower SES on adult cessation behaviour in LMICs suggests that lower-SES smokers are not less successful in their attempts to quit than their higher-SES counterparts. Specifically, lack of employment, which
Published: 2019

14. STUDY ON EFFECT OF PSYCHOTROPIC DRUGS WITH AND WITHOUT ELECTROCONVULSIVE THERAPY ON COGNITION

Author: Mrs. Sunita Pawar*, Mr. Divyam Mathur, Mr. Hussain Gavande & Mrs. Smita Daw
Subjects: ECT, Psychotropic drugs, Cognition, ACE-R
Abstract: Cognition is proven to be impaired in most of the psychiatric illnesses, and psychotropic drugs and Electroconvulsive Therapy (ECT) has shown various effects on different domains of cognition. This study focuses on assessment of improvement in cognitive parameters due to psychotropic drugs alone and in combination with ECT. Methodology/ Material And Method: This prospective observational study for 6 months was carried out in a tertiary care teaching hospital in Pune, India. Subjects included were patients who were diagnosed under DSM-V criteria of psychiatric illnesses, undergoing treatment for the same since at least 6 months, and having Mini-Mental State Examination (MMSE) score of ≤24 on time of hospital admission. The Addenbrooke’s Cognitive Examination- Revised (ACE-R) score was used to examine the cognition during admission and twice after, at one-week interval each. The statistical inference was calculated from differences in initial and final ACE-R scores comparing two groups of patients who were- i) receiving psychotropic drug therapy alone and ii) receiving ECT along with psychotropic drug therapy. Result: Patients who were prescribed with ECT along with Psychotropic drug therapy showed a greater difference in mean ACE-R scores (56% improvement, Mean= 25.13 ± 8.3) than patients who were on Psychotropic drugs only (46% improvement, Mean= 17.36 ± 11.3), and this difference was statistically significant [p=0.04] [p< 0.05]. Conclusion: Patients who received Electroconvulsive therapy with psychotropic drugs has shown a statistically significant difference in ACE-R scores which suggests that ECT as an augmentation, shows more and faster improvement in cognitive function than psychotropic drugs used alone.
Published: 2017
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15. MODELING OF BREAKDOWN VOLTAGE OF SOLID INSULATING MATERIALS BY ARTIFICIAL NEURAL NETWORK

Author: Lav Singh Mathur*, Mr. Amit Agrawal, Dr. Dharmendra Kumar Singh (member of IEI)
Subjects: Computer Science::Neural and Evolutionary Computation, Permittivity, Breakdown Voltage, ANN, Insulation Sample, Multilayer Feed-forward Neural Network, Voids, Thickness
Abstract: This paper presents a model to find out the breakdown voltage of solid insulating materials under AC excitation condition by employing the artificial neural network method. The paper gives a brief introduction to multilayer perceptrons and resilient back-propagation. A relation between input variables and output variables i. e. breakdown voltage is demonstrated. The inputs to the neural networks are the thickness of material, diameter of void, depth of void and permittivity of materials. Neural network methodology is the one of the most popular and widely used method for the analysis of voids. ANN is built to train the multilayer perceptrons in the context of regression analysis. Back-propagation algorithm is used for learning and to train the ANN and it is provides a custom choice of activation and error function. MATLAB software is used for designed, trained and tested in the ANN. &nbsp
Published: 2016
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16. A Rectangular Micro Strip Patch Antenna for Ultra Wide Band Application Using HFSS Software

Author: Mirchandani, Ms. Laveena, primary, Solanki, Ms. Lavina, additional, Karwa, Mr. Abhishek, additional, and Mathur, Mr. Ashish, additional
Published: 2017
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17. 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 ; https://orcid.org/0000-0003-3193-8053, 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 ; https://orcid.org/0000-0002-8015-9470, 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 ; 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https://orcid.org/0000-0002-6322-9369, 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 ; https://orcid.org/0000-0002-5866-4446, Rezaei, S, Rezai, MS, Ribeiro, AL, Roba, HS, Rokni, MB, Ronfani, L, Roshandel, G, Roth, GA, Rothenbacher, D, Roy, NK, Sachdev, PS ; https://orcid.org/0000-0002-9595-3220, 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 ; https://orcid.org/0000-0001-9217-4937, 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, Sheikhbahaei, S, Shen, J, Shi, P, Shigematsu, M, Shin, M-J, Shiri, R, Shoman, H, Shrime, MG, Sibamo, ELS, Sigfusdottir, ID, Silva, DAS, Silveira, DGA, Sindi, S, Singh, A, Singh, JA, Singh, OP, Singh, PK, Singh, V, Sinke, AH, Sinshaw, AE, Skirbekk, V, Sliwa, K, Smith, A, Sobngwi, E, Soneji, S, Soriano, JB, Sousa, TCM, Sposato, LA, Sreeramareddy, CT, Stathopoulou, 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 ; https://orcid.org/0000-0003-0618-4499, 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, 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 ; 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https://orcid.org/0000-0003-0618-4499, 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
Abstract: Background National levels of personal health-care access and quality can be approximated by measuring mortality rates from causes that should not be fatal in the presence of effective medical care (ie, amenable mortality). Previous analyses of mortality amenable to health care only focused on high-income countries and faced several methodological challenges. In the present analysis, we use the highly standardised cause of death and risk factor estimates generated through the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) to improve and expand the quantification of personal health-care access and quality for 195 countries and territories from 1990 to 2015. Methods We mapped the most widely used list of causes amenable to personal health care developed by Nolte and McKee to 32 GBD causes. We accounted for variations in cause of death certification and misclassifications through the extensive data standardisation processes and redistribution algorithms developed for GBD. To isolate the effects of personal health-care access and quality, we risk-standardised cause-specific mortality rates for each geography-year by removing the joint effects of local environmental and behavioural risks, and adding back the global levels of risk exposure as estimated for GBD 2015. We employed principal component analysis to create a single, interpretable summary measure-the Healthcare Quality and Access (HAQ) Index-on a scale of 0 to 100. The HAQ Index showed strong convergence validity as compared with other health-system indicators, including health expenditure per capita (r=0·88), an index of 11 universal health coverage interventions (r=0·83), and human resources for health per 1000 (r=0·77). We used free disposal hull analysis with bootstrapping to produce a frontier based on the relationship between the HAQ Index and the Socio-demographic Index (SDI), a measure of overall development consisting of income per capita, average years of education, and total fertilit
Published: 2017

18. Chapter-41 Tobacco and Heart: A Historical Perspective

Author: Mathur Mr
Subjects: Perspective (graphical), Environmental ethics, Sociology
Published: 2013
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19. Socioeconomic Gradients in Different Types of Tobacco Use in India: Evidence from Global Adult Tobacco Survey 2009-10

Author: Singh, A, Arora, M, English, DR, Mathur, MR, Singh, A, Arora, M, English, DR, and Mathur, MR
Abstract: Socioeconomic differences in tobacco use have been reported, but there is a lack of evidence on how they vary according to types of tobacco use. This study explored socioeconomic differences associated with cigarette, bidi, smokeless tobacco (SLT), and dual use (smoking and smokeless tobacco use) in India and tested whether these differences vary by gender and residential area. Secondary analysis of Global Adult Tobacco Survey (GATS) 2009-10 (n = 69,296) was conducted. The primary outcomes were self-reported cigarette, bidi smoking, SLT, and dual use. The main explanatory variables were wealth, education, and occupation. Associations were assessed using multinomial logistic regressions. 69,030 adults participated in the study. Positive association was observed between wealth and prevalence of cigarette smoking while inverse associations were observed for bidi smoking, SLT, and dual use after adjustment for potential confounders. Inverse associations with education were observed for all four types after adjusting for confounders. Significant interactions were observed for gender and area in the association between cigarette, bidi, and smokeless tobacco use with wealth and education. The probability of cigarette smoking was higher for wealthier individuals while the probability of bidi smoking, smokeless tobacco use, and dual use was higher for those with lesser wealth and education.
Published: 2015

20. Addressing inequalities in oral health in India: need for skill mix in the dental workforce.

Author: Mathur, MR, Singh, A, Watt, R, Mathur, MR, Singh, A, and Watt, R
Abstract: Dentistry has always been an under-resourced profession. There are three main issues that dentistry is facing in the modern era. Firstly, how to rectify the widely acknowledged geographical imbalance in the demand and supply of dental personnel, secondly, how to provide access to primary dental care to maximum number of people, and thirdly, how to achieve both of these aims within the financial restraints imposed by the central and state governments. The trends of oral diseases have changed significantly in the last 20 years. The two of the most common oral diseases that affect a majority of the population worldwide, namely dental caries and periodontitis, have been proved to be entirely preventable. Even for life-threatening oral diseases like oral cancer, the best possible available treatment is prevention. There is a growing consensus that appropriate skill mix can prove very beneficial in providing these preventive dental care services to the public and aid in achieving the goal of universal oral health coverage. Professions complementary to dentistry (PCD) have been found to be effective in reducing inequalities in oral health, improving access and spreading the messages of health promotion across entire spectrum of socio-economic hierarchy in various studies conducted globally. This commentary provides a review of the effectiveness of skill mix in dentistry and a reflection on how this can be beneficial in achieving universal oral health care in India.
Published: 2015

21. Global age-sex-specific fertility, mortality, healthy life expectancy (HALE), and population estimates in 204 countries and territories, 1950–2019: a comprehensive demographic analysis for the Global Burden of Disease Study 2019

Author: Abbafati, C., Machado, D.B., Cislaghi, B., Salman, O.M., Karanikolos, M., McKee, M., Abbas, K.M., Brady, O.J., Larson, H.J., Trias-Llimós, S., Cummins, S., Langan, S.M., Sartorius, B., Hafiz, A., Jenabi, E., Mohammad Gholi Mezerji, N., Borzouei, S., Azarian, G., Khazaei, S., Abbasi, M., Asghari, B., Masoumi, S., Komaki, H., Taherkhani, A., Adabi, M., Abbasifard, M., Bazmandegan, G., Kamiab, Z., Vakilian, A., Anjomshoa, M., Mokari, A., Sabour, S., Shahbaz, M., Saeedi, R., Ahmadieh, H., Yousefinezhadi, T., Haj-Mirzaian, A., Nikbakhsh, R., Safi, S., Asgari, S., Irvani, S.N., Jahanmehr, N., Ramezanzadeh, K., Abbasi-Kangevari, M., Khayamzadeh, M., Abbastabar, H., Shirkoohi, R., Fazlzadeh, M., Janjani, H., Hosseini, M., Mansournia, M., Tohidinik, H., Bakhtiari, A., Fazaeli, A., Mousavi, S., Hasanzadeh, A., Nabavizadeh, B., Malekzadeh, R., Hashemian, M., Pourshams, A., Salimzadeh, H., Sepanlou, S.G., Afarideh, M., Esteghamati, A., Esteghamati, S., Ghajar, A., Heidari, B., Rezaei, N., Mohamadi, E., Rahimi-Movaghar, A., Rahim, F., Eskandarieh, S., Sahraian, M., Mohebi, F., Aminorroaya, A., Ebrahimi, H., Farzadfar, F., Mohajer, B., Pishgar, F., Saeedi Moghaddam, S., Shabani, M., Zarafshan, H., Abolhassani, H., Hafezi-Nejad, N., Heidari-Soureshjani, R., Abdollahi, M., Farahmand, M., Salamati, P., Mehrabi Nasab, E., Tajdini, M., Aghamir, S., Mirzaei, R., Dibaji Forooshani, Z., Khater, M.M., Abd-Allah, F., Abdelalim, A., Abualhasan, A., El-Jaafary, S.I., Hassan, A., Elsharkawy, A., Khater, A.M., Elhabashy, H.R., Salem, M.R.R., Salem, H., Sadeghi, M., Jafarinia, M., Amini-Rarani, M., Mohammadifard, N., Sarrafzadegan, N., Abdollahpour, I., Sarveazad, A., Tehrani-Banihashemi, A., Yoosefi Lebni, J., Manafi, N., Pazoki Toroudi, H., Dorostkar, F., Alipour, V., Sheikhtaheri, A., Arabloo, J., Azari, S., Ghashghaee, A., Rezapour, A., Naserbakht, M., Kabir, A., Mehri, F., Yousefifard, M., Asadi-Aliabadi, M., Babaee, E., Eshrati, B., Goharinezhad, S., Moradi-Lakeh, M., Abedi, P., 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Fariborz, Mansouri, Borhan, Mansournia, Mohammad Ali, Mapoma, Chabila Christopher, Martini, Santi, Martins-Melo, Francisco Rogerlândio, Masaka, Anthony, Mastrogiacomo, Claudia I, Mathur, Manu Raj, May, Erin A, Mcalinden, Colm, Mcgrath, John J, Mckee, Martin, Mehndiratta, Man Mohan, Mehri, Fereshteh, Mehta, Kala M, Meitei, Wahengbam Bigyananda, Memiah, Peter T N, Mendoza, Walter, Menezes, Ritesh G, Mengesha, Endalkachew Worku, Mensah, George A, Meretoja, Atte, Meretoja, Tuomo J, Mestrovic, Tomislav, Michalek, Irmina Maria, Mihretie, Kebadnew Mulatu, Miller, Ted R, Mills, Edward J, Milne, George J, Mirrakhimov, Erkin M, Mirzaei, Hamed, Mirzaei, Maryam, Mirzaei-Alavijeh, Mehdi, Misganaw, Awoke Temesgen, Moazen, Babak, Moghadaszadeh, Masoud, Mohamadi, Efat, Mohammad, Dara K, Mohammad, Yousef, Mohammad Gholi Mezerji, Naser, Mohammadbeigi, Abolfazl, Mohammadian-Hafshejani, Abdollah, Mohammadpourhodki, Reza, Mohammed, Hussen, Mohammed, Shafiu, Mohebi, Farnam, Mohseni Bandpei, Mohammad A, 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Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Omar Bali, Ahmed, Ong, Kanyin L, Onwujekwe, Obinna E, Ortiz, Alberto, Otstavnov, Nikita, Otstavnov, Stanislav S, Øverland, Simon, Owolabi, Mayowa O, P A, Mahesh, Padubidri, Jagadish Rao, Pakshir, Keyvan, Palladino, Raffaele, Pana, Adrian, Panda-Jonas, Songhomitra, Park, Jame, Pasupula, Deepak Kumar, Patel, Jenil R, Patel, Sangram Kishor, Patton, George C, Paulson, Katherine R, Pazoki Toroudi, Hamidreza, Pease, Spencer A, Peden, Amy E, Pepito, Veincent Christian Filipino, Peprah, Emmanuel K, Pereira, Alexandre, Pereira, David M, Perico, Norberto, Pigott, David M, Pilgrim, Thoma, Pilz, Tessa M, Piradov, Michael A, Pirsaheb, Meghdad, Pokhrel, Khem Narayan, Postma, Maarten J, Pourjafar, Hadi, Pourmalek, Farshad, Pourshams, Akram, Poznańska, Anna, Prada, Sergio I, Prakash, Sanjay, Preotescu, Liliana, Quazi Syed, Zahiruddin, Rabiee, Mohammad, Rabiee, Navid, Radfar, Amir, Rafiei, Alireza, Raggi, Alberto, Rahman, Muhammad Aziz, Rajabpour-Sanati, Ali, Ram, Pradhum, Ranabhat, Chhabi Lal, Rao, Sowmya J, Rasella, Davide, Rashedi, Vahid, Rastogi, Prateek, Rathi, Priya, Rawal, Lal, Remuzzi, Giuseppe, Renjith, Vishnu, Renzaho, Andre M N, Resnikoff, Serge, Rezaei, Nima, Rezai, Mohammad sadegh, Rezapour, Aziz, Rickard, Jennifer, Roever, Leonardo, Ronfani, Luca, Roshandel, Gholamreza, Rostamian, Morteza, Rubagotti, Enrico, Rwegerera, Godfrey M, Sabour, Siamak, Saddik, Basema, Sadeghi, Ehsan, Sadeghi, Masoumeh, Saeedi Moghaddam, Sahar, Safari, Yahya, Safi, Sare, Safiri, Saeid, Sagar, Rajesh, Sahebkar, Amirhossein, Sahraian, Mohammad Ali, Sajadi, S Mohammad, Salahshoor, Mohammad Reza, Salama, Joseph S, Salamati, Payman, Salem, Marwa R Rashad, Salimi, Yahya, Salomon, Joshua A, Salz, Inbal, Samad, Zainab, Samy, Abdallah M, Sanabria, Juan, Santric-Milicevic, Milena M, Saraswathy, Sivan Yegnanarayana Iyer, Sartorius, Benn, Sarveazad, Arash, Sathian, Brijesh, Sathish, Thirunavukkarasu, Sattin, Davide, Saylan, Mete, Schaeffer, Lauren E, Schiavolin, Silvia, Schwebel, David C, Schwendicke, Falk, Sekerija, Mario, Senbeta, Anbissa Muleta, Senthilkumaran, Subramanian, Sepanlou, Sadaf G, Serván-Mori, Edson, Shabani, Mahsima, Shahabi, Saeed, Shahbaz, Mohammad, Shaheen, Amira A, Shaikh, Masood Ali, Shalash, Ali S, Shams-Beyranvand, Mehran, Shamsi, Mohammadbagher, Shamsizadeh, Morteza, Shannawaz, Mohammed, Sharafi, Kiomar, Sharafi, Zeinab, Sharara, Fablina, Sharma, Rajesh, Shaw, David H, Sheikh, Aziz, Shin, Jae Il, Shiri, Rahman, Shrime, Mark G, Shuval, Kerem, Siabani, Soraya, Sigfusdottir, Inga Dora, Sigurvinsdottir, Rannveig, Silva, Diego Augusto Santo, Simonetti, Biagio, Simpson, Kyle E, Singh, Jasvinder A, Skiadaresi, Eirini, Skryabin, Valentin Yurievich, Soheili, Amin, Sokhan, Anton, Sorensen, Reed J D, Soriano, Joan B, Sorrie, Muluken Bekele, Soyiri, Ireneous N, Spurlock, Emma Elizabeth, Sreeramareddy, Chandrashekhar T, Stockfelt, Leo, Stokes, Mark A, Stubbs, Jacob L, Sudaryanto, Agu, Sufiyan, Mu'awiyyah 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Isidora S, Vukovic, Ana, Vukovic, Rade, Waheed, Yasir, Wallin, Mitchell Taylor, Walters, Magdalene K, Wang, Hongbo, Wang, Yuan-Pang, Watson, Stefanie, Wei, Jingkai, Weiss, Jordan, Weldesamuel, Girmay Teklay, Werdecker, Andrea, Westerman, Ronny, Whiteford, Harvey A, Wiangkham, Taweewat, Wiens, Kirsten E, Wijeratne, Tissa, Wiysonge, Charles Shey, Wojtyniak, Bogdan, Wolfe, Charles D A, Wondmieneh, Adam Belay, Wool, Eve E, Wu, Ai-Min, Wu, Junjie, Xu, Gelin, Yamada, Tomohide, Yamagishi, Kazumasa, Yano, Yuichiro, Yaya, Sanni, Yazdi-Feyzabadi, Vahid, Yearwood, Jamal A, Yeheyis, Tomas Y, Yilgwan, Christopher Sabo, Yip, Paul, Yonemoto, Naohiro, Yoon, Seok-Jun, Yoosefi Lebni, Javad, York, Hunter W, Younis, Mustafa Z, Younker, Theodore Patrick, Yousefi, Zabihollah, Yousefinezhadi, Taraneh, Yousuf, Abdilahi Yousuf, Yusefzadeh, Hasan, Zahirian Moghadam, Telma, Zakzuk, Josefina, Zaman, Sojib Bin, Zamani, Mohammad, Zamanian, Maryam, Zandian, Hamed, Zhang, Zhi-Jiang, Zheng, Peng, Zhou, Maigeng, Ziapour, Arash, Murray, Christopher J L, Collaborators, GBD 2019 Demographics, GBD 2019 Demographics Collaborator, Violante FS, Value, Affordability and Sustainability (VALUE), Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET), Microbes in Health and Disease (MHD), Department of Earth Systems Analysis, Biomechanical Engineering, TechMed Centre, Biomolecular Nanotechnology, Research Methodology, Measurement and Data Analysis, Materials Science and Technology of Polymers, Inorganic Materials Science, MESA+ Institute, Biomedical and Environmental Sensorsystems, Mesoscale Chemical Systems, Faculty of Engineering Technology, Nonlinear Solid Mechanics, Digital Society Institute, Pervasive Systems, Nanobiophysics, Faculty of Geo-Information Science and Earth Observation, Multi Scale Mechanics, Engineering Fluid Dynamics, Physics of Complex Fluids, Developmental BioEngineering, Physics of Fluids, Elastomer Technology and Engineering, Medical Cell Biophysics, European Membrane Institute, Department of Earth Observation Science, Biomaterials Science and Technology, Sustainable Process Technology, Department of Urban and Regional Planning and Geo-Information Management, Department of Natural Resources, XUV Optics, Databases (Former), Department of Water Resources, Psychology, Health & Technology, Membrane Science & Technology, Department of Public Health, Clinicum, HUS Neurocenter, HUS Comprehensive Cancer Center, and Environmental Sciences
Subjects: Male, very elderly, Demographic transition, HALE, 030204 cardiovascular system & hematology, preschool child, Global Burden of Disease, Carga Global de Enfermedades, 0302 clinical medicine, newborn, Risk Factors, Surveys and Questionnaires, and Risk Factors Study, 80 and over, 030212 general & internal medicine, Birth Rate, Child, Migration, 11 Medical and Health Sciences, Aged, 80 and over, education.field_of_study, Injuries, Geography, Mortality rate, 1. No poverty, DEATH, Censuses, General Medicine, SDG 10 - Reduced Inequalities, Middle Aged, Demographic analysis, 3142 Public health care science, environmental and occupational health, 3. Good health, demographic analysis, Estilo de Vida Saludable, risk factor, Child, Preschool, Demography/statistics & numerical data, Global Burden of Diseases, Injuries, Risk Factors, Fertility, Mortality, Migration, Population, epidemiology, Female, A990 Medicine and Dentistry not elsewhere classified, CHILD-MORTALITY, Live Birth, Global Health Metrics, TRANSITION, demographics, GBD, fertility, mortality, hale, Adult, Adolescent, Total fertility rate, Population, Global Burden of Diseases, Injuries, and Risk Factors Study, Birth rate, 03 medical and health sciences, Young Adult, Life Expectancy, SDG 3 - Good Health and Well-being, General & Internal Medicine, SYSTEMATIC ANALYSIS, Demografía, Humans, Global Burden of Disease Study, human, Mortality, education, Preschool, Aged, Demography, Spatial Analysis, questionnaire, Infant, Newborn, Klinisk medicin, HIV, Infant, Global Burden of Diseases, sex-specific fertility, Live Birth/epidemiology, purl.org/pe-repo/ocde/ford#3.02.00 [https], MODEL, Fertilidad, Fertility, Demographic change, Life expectancy, NA, global disease burden, Clinical Medicine, population research
Abstract: Background Accurate and up-to-date assessment of demographic metrics is crucial for understanding a wide range of social, economic, and public health issues that affect populations worldwide. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 produced updated and comprehensive demographic assessments of the key indicators of fertility, mortality, migration, and population for 204 countries and territories and selected subnational locations from 1950 to 2019. Methods 8078 country-years of vital registration and sample registration data, 938 surveys, 349 censuses, and 238 other sources were identified and used to estimate age-specific fertility. Spatiotemporal Gaussian process regression (ST-GPR) was used to generate age-specific fertility rates for 5-year age groups between ages 15 and 49 years. With extensions to age groups 10-14 and 50-54 years, the total fertility rate (TFR) was then aggregated using the estimated age-specific fertility between ages 10 and 54 years. 7417 sources were used for under-5 mortality estimation and 7355 for adult mortality. ST-GPR was used to synthesise data sources after correction for known biases. Adult mortality was measured as the probability of death between ages 15 and 60 years based on vital registration, sample registration, and sibling histories, and was also estimated using ST-GPR. HIV-free life tables were then estimated using estimates of under-5 and adult mortality rates using a relational model life table system created for GBD, which closely tracks observed age-specific mortality rates from complete vital registration when available. Independent estimates of HIV-specific mortality generated by an epidemiological analysis of HIV prevalence surveys and antenatal clinic serosurveillance and other sources were incorporated into the estimates in countries with large epidemics. Annual and single-year age estimates of net migration and population for each country and territory were generated using a Bayesian hierarchical cohort component model that analysed estimated age-specific fertility and mortality rates along with 1250 censuses and 747 population registry years. We classified location-years into seven categories on the basis of the natural rate of increase in population (calculated by subtracting the crude death rate from the crude birth rate) and the net migration rate. We computed healthy life expectancy (HALE) using years lived with disability (YLDs) per capita, life tables, and standard demographic methods. Uncertainty was propagated throughout the demographic estimation process, including fertility, mortality, and population, with 1000 draw-level estimates produced for each metric. Findings The global TFR decreased from 2.72 (95% uncertainty interval [UI] 2.66-2.79) in 2000 to 2.31 (2.17-2.46) in 2019. Global annual livebirths increased from 134.5 million (131.5-137.8) in 2000 to a peak of 139.6 million (133.0-146.9) in 2016. Global livebirths then declined to 135.3 million (127.2-144.1) in 2019. Of the 204 countries and territories included in this study, in 2019, 102 had a TFR lower than 2.1, which is considered a good approximation of replacement-level fertility. All countries in sub-Saharan Africa had TFRs above replacement level in 2019 and accounted for 27.1% (95% UI 26.4-27.8) of global livebirths. Global life expectancy at birth increased from 67.2 years (95% UI 66.8-67.6) in 2000 to 73.5 years (72.8-74.3) in 2019. The total number of deaths increased from 50.7 million (49.5-51.9) in 2000 to 56.5 million (53.7-59.2) in 2019. Under-5 deaths declined from 9.6 million (9.1-10.3) in 2000 to 5.0 million (4.3-6.0) in 2019. Global population increased by 25.7%, from 6.2 billion (6.0-6.3) in 2000 to 7.7 billion (7.5-8.0) in 2019. In 2019, 34 countries had negative natural rates of increase; in 17 of these, the population declined because immigration was not sufficient to counteract the negative rate of decline. Globally, HALE increased from 58.6 years (56.1-60.8) in 2000 to 63.5 years (60.8-66.1) in 2019. HALE increased in 202 of 204 countries and territories between 2000 and 2019. Interpretation Over the past 20 years, fertility rates have been dropping steadily and life expectancy has been increasing, with few exceptions. Much of this change follows historical patterns linking social and economic determinants, such as those captured by the GBD Socio-demographic Index, with demographic outcomes. More recently, several countries have experienced a combination of low fertility and stagnating improvement in mortality rates, pushing more populations into the late stages of the demographic transition. Tracking demographic change and the emergence of new patterns will be essential for global health monitoring. Copyright (C) 2020 The Author(s). Published by Elsevier Ltd.
Published: 2020
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22. 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, Bayu Begashaw, Belachew, Abate Bekele, Belay, Aregawi Gebreyesus, Belay, Saba Abraham, Belay, Yihalem Abebe, Bell, Michelle L, Bello, Aminu K, Bennett, Derrick A, Bensenor, Isabela M, Benzian, Habib, Berhane, Adugnaw, Berhe, Abadi Kidanemariam, Berman, Adam E, Bernabe, Eduardo, Bernstein, Robert S, Bertolacci, Gregory J, Beuran, Mircea, Beyranvand, Tina, Bhala, Neeraj, Bhalla, Ashish, Bhansali, Anil, Bhattarai, Suraj, Bhaumik, Soumyadeep, Bhutta, Zulfiqar A, Biadgo, Belete, Biehl, Molly H, Bijani, Ali, Bikbov, Boris, Bililign, Nigus, Bin Sayeed, Muhammad Shahdaat, Birlik, Sait Mentes, Birungi, Charles, Bisanzio, Donal, Biswas, Tuhin, Bitew, Helen, Bizuneh, Hailemichael, Bjertness, Espen, Bobasa, Eshetu Mulisa, Boufous, Soufiane, Bourne, Rupert, Bozorgmehr, Kayvan, Bragazzi, Nicola Luigi, Brainin, Michael, Brant, Luisa C, Brauer, Michael, Brazinova, Alexandra, Breitborde, Nicholas J K, Briant, Paul Svitil, Britton, Gabrielle, Brugha, Traolach, Bukhman, Gene, Busse, Reinhard, Butt, Zahid 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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

23. 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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Dean, Hosseini, Seyed Mostafa, Hosseinzadeh, Mehdi, Hostiuc, Mihaela, Hostiuc, Sorin, Hotez, Peter J., Hoy, Damian C., Hsiao, Thomas, Hu, Guoqing, Huang, John J., Husseini, Abdullatif, Hussen, Mohammedaman Mama, Hutfless, Susan, Idrisov, Bulat, Ilesanmi, Olayinka Stephen, Iqbal, Usman, Irvani, Seyed Sina Naghibi, Irvine, Caleb Mackay Salpeter, Islam, Nazrul, Islam, Sheikh Mohammed Shariful, Islami, Farhad, Jacobsen, Kathryn H., Jahangiry, Leila, Jahanmehr, Nader, Jain, Sudhir Kumar, Jakovlievic, Mihajlo, Jalu, Moti Tolera, James, Spencer L., Javanbakht, Mehdi, Jayatilleke, Achala Upendra, Jeemon, Panniyammakal, Jenkins, Kathy J., Jha, Ravi Prakash, Jha, Vivekanand, Johnson, Catherine O., Johnson, Sarah C., Jonas, Jost B., Joshi, Ankur, Jozwiak, Jacek Jerzy, Jungari, Suresh Banayya, Jurisson, Mikk, Kabir, Zubair, Kadel, Rajendra, Kahsay, Amaha, Kalani, Rizwan, Karami, Manoochehr, Matin, Behzad Karami, Karch, Andre, Karema, Corine, Karimi-Sari, Hamidreza, Kasaeian, Amir, Kassa, Dessalegn H., Kassa, Getachew Mullu, Kassa, Tesfaye Dessale, Kassebaum, Nicholas J., Katikireddi, Srinivasa Vittal, Kaul, Anil, Kazemi, Zhila, Karyani, Ali Kazemi, Kazi, Dhruv Satish, 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, Ejaz Ahmad, Khan, Muhammad Shahzeb, Khan, Muhammad Ali, Khang, Young-Ho, Khater, Mona M., Khoja, Abdullah T., Khosravi, Ardeshir, Khosravi, Mohammad Hossein, Khubchandani, Jagdish, Kiadaliri, Aliasghar A., Kibret, Getiye D., Kidanemariam, Zelalem Teklemariam, Kiirithio, Daniel N., Kim, Daniel, Kim, Young-Eun, Kim, Yun Jin, Kimokoti, Ruth W., Kinfu, Yohannes, Kisa, Adnan, Kissimova-Skarbek, Katarzyna, Kivimaki, Mika, Knudsen, Ann Kristin Skrindo, Kocarnik, Jonathan M., Kochhar, Sonali, Kokubo, Yoshihiro, Kolola, Tufa, Kopec, Jacek A., Koul, Parvaiz A., Koyanagi, Ai, Kravchenko, Michael A., Krishan, Kewal, Defo, Barthelemy Kuate, Bicer, Burcu Kinuk, Kumar, G. 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N., Memish, Ziad A., Mendoza, Walter, Mengistu, Desalegn Tadese, Mengistu, Getnet, Mensah, George A., Mereta, Seid Tiku, Meretoja, Atte, Meretoja, Tuomo J., Meshovic, Tbmislav, Mezgebe, Haftay Berhane, Miazgowski, Bartosz, Miazgowski, Tomasz, Millear, Anoushka I., Miller, Ted R., Katherine, Molly, Petrie, Miller, Mini, G. K., Mirabi, Parvaneh, Mirarefin, Mojde, Mirica, Andreea, Mirrakhimov, Erkin M., Misganaw, Awoke Temesgen, Mitiku, Habtamu, Moazen, Babak, Mohammad, Karzan Abdulmuhsin, Mohammad, Moslem, Mohammadifard, Noushin, Mohammed, A. 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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

24. 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

25. 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

26. 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, Subart, Michelle L, Sudaryanto, Agu, Sufiyan, Mu'awiyyah Babale, Sunguya, Bruno F, Sur, Patrick John, Sutradhar, Ipsita, Sykes, Bryan L, Sylte, Dillon O, Tabarés-Seisdedos, Rafael, Tadakamadla, Santosh Kumar, Tadesse, Birkneh Tilahun, Tandon, Nikhil, Tassew, Segen Gebremeskel, Tavakkoli, Mohammad, Taveira, Nuno, Taylor, Hugh R, Tehrani-Banihashemi, Arash, Tekalign, Tigist Gashaw, Tekelemedhin, Shishay Wahdey, Tekle, Merhawi Gebremedhin, Temesgen, Habtamu, Temsah, Mohamad-Hani, Temsah, Omar, Terkawi, Abdullah Sulieman, Teweldemedhin, Mebrahtu, Thankappan, Kavumpurathu Raman, Thomas, Nihal, Tilahun, Binyam, To, Quyen G, Tonelli, Marcello, Topor-Madry, Roman, Topouzis, Foti, Torre, Anna E, Tortajada-Girbés, Miguel, Touvier, Mathilde, Tovani-Palone, Marcos Roberto, Towbin, Jeffrey A, Tran, Bach Xuan, Tran, Khanh Bao, Troeger, Christopher E, Truelsen, Thomas Clement, Tsilimbaris, Miltiadis K, Tsoi, Derrick, Tudor Car, Lorainne, Tuzcu, E Murat, Ukwaja, Kingsley N, Ullah, Irfan, Undurraga, Eduardo A, Unutzer, Jurgen, Updike, Rachel L, Usman, Muhammad Shariq, Uthman, Olalekan A, Vaduganathan, Muthiah, Vaezi, Afsane, Valdez, Pascual R, Varughese, Santosh, Vasankari, Tommi Juhani, Venketasubramanian, Narayanaswamy, Villafaina, Santo, Violante, Francesco S, Vladimirov, Sergey Konstantinovitch, Vlassov, Vasily, Vollset, Stein Emil, Vosoughi, Kia, Vujcic, Isidora S, Wagnew, Fasil Shiferaw, Waheed, Yasir, Waller, Stephen G, Wang, Yafeng, Wang, Yuan-Pang, Weiderpass, Elisabete, Weintraub, Robert G, Weiss, Daniel J, Weldegebreal, Fitsum, Weldegwergs, Kidu Gidey, Werdecker, Andrea, West, T Eoin, Whiteford, Harvey A, Widecka, Justyna, Wijeratne, Tissa, Wilner, Lauren B, Wilson, Shadrach, Winkler, Andrea Sylvia, Wiyeh, Alison B, Wiysonge, Charles Shey, Wolfe, Charles D A, Woolf, Anthony D, Wu, Shouling, Wu, Yun-Chun, Wyper, Grant M A, 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, 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

27. 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, He, Olusanya, Bo, Olusanya, Jo, Opio, Jn, Ortega-Altamirano, Dv, Pain, Aw, Palone, Mrt, Pandian, Jd, Park, Ek, Patil, St, Patton, Gc, Paturi, Vr, Pedroso, Mm, Pedroza, Sp, Pereira, Dm, Phillips, Mr, Piel, Fb, Pigott, Dm, Pillay, Jd, Piradov, Ma, Pond, Cd, Postma, Mj, Prasad, Nm, Quintana, Hk, Rahman, Ma, Rahman, Su, Rai, Rk, Raju, Sb, Rana, Sm, Rawaf, Dl, Ray, Se, Razo-García, Ca, Reiner, Rc, Reitsma, Mb, Renzaho, Amn, Ribeiro, Al, Rios Blancas, Mj, Rivera, Ja, Roth, Ga, Ruhago, Gm, Sabde, Yd, Sahraian, Ma, Saldanha, Rf, Salomon, Ja, Samy, Am, Sanabria, Jr, Sancheti, Pk, Sanchez-Niño, Md, Santric Milicevic, Mm, Sarker, Ar, Saylan, Mi, Schmidt, Mi, Schneider, Ijc, Schumacher, Ae, Schutte, Ae, Schwebel, Dc, Sepanlou, Sg, Servan-Mori, Ee, Shaikh, Ma, Shariful Islam, Sm, Shfare, Mt, Shrime, Mg, Shukla, Sr, Sigfusdottir, Id, Silberberg, Dh, Silva, Da, Silva, Jp, Silveira, Dga, Singh, Ja, Singh, Np, Sinha, Dn, Sinke, Ah, Soares Filho, Am, Sobaih, Bha, Sorensen, Rjd, Soriano, Jb, Soyiri, In, 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

28. Assessment of Oral Health Status, Care Seeking Behaviours, and Oral Health-Related Quality of Life among Indian Adults Using the World Dental Federation's Digital Application.

Author: Balraj L, Oswal KC, Reddy RBV, Kunjan PD, Chandu VC, and Mathur MR
Abstract: Context: A survey was conducted in line with the World Dental Federation's (FDI) vision for comprehensive, evidence-based oral healthcare by 2030. The study aims to collect standardised national data on the population's oral health needs, care-seeking behaviours, and oral health-related quality of life., Materials and Methods: This analytical cross-sectional survey included dentists from urban and rural India and the patients visiting their facilities. The data were collected using the digital application developed by the FDI as a part of the Oral Health Observatory (OHO) project between December 2018 and April 2020 among patients seeking care at private oral healthcare practices. Descriptive statistics, Chi-square tests, and Mann-Whitney U tests were performed to analyse the study data using SPSS software., Results: Data of 1049 patients (61.01% males, 38.98% females, mean age 38.6 ± 12.1 years) were collected using the OHO app on their oral health-seeking behaviour and habits. Over 80% of the patients had periodontal disease. About 51.5% visited a dentist in the past year, with common barriers being the belief that there was nothing wrong with their teeth and the time constraints. High rates of daily sugar consumption (67%) and tobacco use (35%) were noted. Most dentists focused on curative over preventive care., Conclusions: This survey provides essential data on India's oral health and forms an important first step in the quest of achieving universal health coverage for oral health by facilitating advocacy and aligning with FDI Vision 2030., (Copyright © 2025 Indian Journal of Dental Research.)
Published: 2025
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29. Envisioning sustainable oral health through effective advocacy.

Author: Mathur MR, Bhosale AS, Abel SN, Fisher J, Listl S, Carrasco-Labra A, Urquhart O, and Glick M
Abstract: In recent years, global commitments have endeavored to reduce the burden of oral diseases. To maintain this momentum, effective advocacy for sustainable oral health is needed to raise public awareness, garner support, and guide policy makers. However, there has been limited use of evidence-based frameworks and approaches to design and measure the impact of oral health advocacy efforts. The 2nd Global Oral Health Forum (GOHF II) was hosted in April 2024 over a 2-day period to reflect on and discuss effective advocacy approaches and strategies for sustainable oral health. Four thematic sessions were organized around advocacy including health policies, health economics, patients, and planetary health. Each session featured eminent transdisciplinary speakers followed by group discussions centered around ideas, experiences, and perspectives from forum participants. The outcome of the forum was a compilation of ten actionable recommendations for moving forward with effective advocacy in oral health. These recommendations are envisioned to help build and strengthen coalitions of like-minded stakeholders in and outside the oral health community to advocate for policies that support sustainable oral health and equitable access to oral health care., Competing Interests: Ethics approval and consent to participate: Not applicable. Consent for publication: Not applicable. Competing interests: M.G. is an editorial board member of BMC Global and Public Health. The remaining authors declare no competing interests., (© 2025. The Author(s).)
Published: 2025
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30. Population health and public health: Commonalities and differences.

Author: Bhosale AS, Urquhart O, Carrasco-Labra A, Mathur MR, Rafia K, and Glick M
Abstract: Objective: To explore the synergy between population health and public health by initiating a discourse about their interconnected roles, responsibilities, and approaches in achieving optimal health outcomes., Overview: Population health and public health, although distinct, are interconnected disciplines critical for enhancing health outcomes. Population health focuses on analyzing health determinants and outcomes within specific groups, employing data to guide targeted interventions and policies. Public health, on the other hand, prioritizes broader preventive measures and community-wide interventions to safeguard health. Both fields benefit from a transdisciplinary approach that integrates strategies to address and improve health. Such integration is essential for addressing health disparities and improving the efficiency of health systems. By combining the analytical strengths of population health with the implementation capabilities of public health, a more comprehensive framework can be developed. These collaborations will not only enhance the effectiveness of health programs but also promote health equity by leveraging collective expertise and resources. They will facilitate the development of interventions that are both preventive and responsive, capable of addressing the upstream determinants of health and the immediate needs of communities. Such transdisciplinary efforts were demonstrated within the oral health field during the COVID-19 pandemic., Conclusions: The synergy between population and public health can lead to robust health outcomes, fostering comprehensive health promotion and disease prevention strategies. By aligning research, practices, and policies, these integrated approaches will transcend traditional boundaries within the healthcare sector to build efficient health systems., (© 2024 The Author(s). Journal of Public Health Dentistry published by Wiley Periodicals LLC on behalf of American Association of Public Health Dentistry.)
Published: 2024
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31. Making the case for a new typology of dental care systems.

Author: Guarnizo-Herreño CC, Singh A, Mathur MR, Sarawagi S, and Peres MA
Subjects: Humans, Oral Health, Delivery of Health Care, Dental Care
Abstract: Background and Rationale: Dental care systems have the potential to influence population oral health and patterns of socioeconomic inequalities. Therefore, understanding the impact of the ways in which countries fund, provide, and organize their dental care services is key in the analysis of determinants of oral health. In this commentary we offer a synopsis of recent typologies of healthcare systems, based on a rapid review, and highlight that none of them fit dental care services given the separation of dental care from general healthcare provision in many countries. The paper also summarizes evidence on dental care systems as determinants of population oral health and argues why a new typology of dental care systems is needed., Challenges and Ways Forward: We argue that a typology must consider institutional arrangements, structures, and processes behind the provision of dental care, and that specific dimensions/variables that inform the typology should result from a process of discussion and consensus. Some methodological considerations for developing typologies are also discussed, including the challenges in the collection and analysis of data followed by an advanced cluster analysis. Despite their limitations, typologies have evolved into an essential tool for comparing the similarities and differences of healthcare systems across countries. Therefore, a dental specific typology for health systems will be useful for researchers, policymakers, and dental professionals to characterize the provision of dentalcare services in different countries. This will also enable examining their potential role as determinants of population oral health and inequalities., (© 2024 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.)
Published: 2024
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32. Assessing the status of oral health integration in South East Asian Regional Office countries' Universal Health Coverage-A scoping review.

Author: Acharya S, Mathur MR, Tadakamadla SK, and Brand A
Subjects: Indonesia, Thailand, Sri Lanka, Oral Health, Universal Health Insurance
Abstract: Background: Oral diseases affect close to 3.5 billion people worldwide and there has been a call by the World Health Organization (WHO) to integrate oral health into the Universal Health Coverage (UHC) agenda., Objectives: To collate and synthesise information regarding the status of integration of oral health into the health systems covered by UHC across the 11 countries in the South East Asian Regional Office., Methods: Drawing on the framework of the six building blocks of health systems as devised by WHO, we compared the public dental care coverage models, with a focus on outpatient dental care in these countries. We gathered this information from publicly available resources, databases and peer-reviewed publications to populate the template guided by the WHO Health System Building Blocks., Results: We found a poor access to oral health care, lopsided distribution of manpower, rickety health information systems, and private sector domination and inadequate or absent financing mechanisms for outpatient procedures. The private sector was dominant in all countries except Thailand and Srilanka. Financing was absent in most countries and deficient in Thailand and Indonesia. Dental workforce was deficient in most countries except India, Srilanka, and Thailand. Health information systems were weak with no dental items under price control. Better UHC indicators did not guarantee a lower oral disease burden., Conclusions: Our review highlighted the close connection between service quality and human resources, governance, and finance. There is a need to establish standardised dental treatment guidelines that are uniformly adopted across countries, integrate oral health into national health and development programs, push for functional oral health research through collecting robust surveillance, economic, and social impact data and the development of cost-effective strategies tailored to each country's unique needs., (© 2024 The Authors. The International Journal of Health Planning and Management published by John Wiley & Sons Ltd.)
Published: 2024
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33. The Global, Regional, and National Burden of Adult Lip, Oral, and Pharyngeal Cancer in 204 Countries and Territories: A Systematic Analysis for the Global Burden of Disease Study 2019.

Author: Cunha ARD, Compton K, Xu R, Mishra R, Drangsholt MT, Antunes JLF, Kerr AR, Acheson AR, Lu D, Wallace LE, Kocarnik JM, Fu W, Dean FE, Pennini A, Henrikson HJ, Alam T, Ababneh E, Abd-Elsalam S, Abdoun M, Abidi H, Abubaker Ali H, Abu-Gharbieh E, Adane TD, Addo IY, Ahmad A, Ahmad S, Ahmed Rashid T, Akonde M, Al Hamad H, Alahdab F, Alimohamadi Y, Alipour V, Al-Maweri SA, Alsharif U, Ansari-Moghaddam A, Anwar SL, Anyasodor AE, Arabloo J, Aravkin AY, Aruleba RT, Asaad M, Ashraf T, Athari SS, Attia S, Azadnajafabad S, Azangou-Khyavy M, Badar M, Baghcheghi N, Banach M, Bardhan M, Barqawi HJ, Bashir NZ, Bashiri A, Benzian H, Bernabe E, Bhagat DS, Bhojaraja VS, Bjørge T, Bouaoud S, Braithwaite D, Briko NI, Calina D, Carreras G, Chakraborty PA, Chattu VK, Chaurasia A, Chen MX, Cho WCS, Chu DT, Chukwu IS, Chung E, Cruz-Martins N, Dadras O, Dai X, Dandona L, Dandona R, Daneshpajouhnejad P, Darvishi Cheshmeh Soltani R, Darwesh AM, Debela SA, Derbew Molla M, Dessalegn FN, Dianati-Nasab M, Digesa LE, Dixit SG, Dixit A, Djalalinia S, El Sayed I, El Tantawi M, Enyew DB, Erku DA, Ezzeddini R, Fagbamigbe AF, Falzone L, Fetensa G, Fukumoto T, Gaewkhiew P, Gallus S, Gebrehiwot M, Ghashghaee A, Gill PS, Golechha M, Goleij P, Gomez RS, Gorini G, Guimaraes ALS, Gupta B, Gupta S, Gupta VB, Gupta VK, Haj-Mirzaian A, Halboub ES, Halwani R, Hanif A, Hariyani N, Harorani M, Hasani H, Hassan AM, Hassanipour S, Hassen MB, Hay SI, Hayat K, Herrera-Serna BY, Holla R, Horita N, Hosseinzadeh M, Hussain S, Ilesanmi OS, Ilic IM, Ilic MD, Isola G, Jaiswal A, Jani CT, Javaheri T, Jayarajah U, Jayaram S, Joseph N, Kadashetti V, Kandaswamy E, Karanth SD, Karaye IM, Kauppila JH, Kaur H, Keykhaei M, Khader YS, Khajuria H, Khanali J, Khatib MN, Khayat Kashani HR, Khazeei Tabari MA, Kim MS, Kompani F, Koohestani HR, Kumar GA, Kurmi OP, La Vecchia C, Lal DK, Landires I, Lasrado S, Ledda C, Lee YH, Libra M, Lim SS, Listl S, Lopukhov PD, Mafi AR, Mahumud RA, Malik AA, Mathur MR, Maulud SQ, Meena JK, Mehrabi Nasab E, Mestrovic T, Mirfakhraie R, Misganaw A, Misra S, Mithra P, Mohammad Y, Mohammadi M, Mohammadi E, Mokdad AH, Moni MA, Moraga P, Morrison SD, Mozaffari HR, Mubarik S, Murray CJL, Nair TS, Narasimha Swamy S, Narayana AI, Nassereldine H, Natto ZS, Nayak BP, Negru SM, Nggada HA, Nouraei H, Nuñez-Samudio V, Oancea B, Olagunju AT, Omar Bali A, Padron-Monedero A, Padubidri JR, Pandey A, Pardhan S, Patel J, Pezzani R, Piracha ZZ, Rabiee N, Radhakrishnan V, Radhakrishnan RA, Rahmani AM, Rahmanian V, Rao CR, Rao SJ, Rath GK, Rawaf DL, Rawaf S, Rawassizadeh R, Razeghinia MS, Rezaei N, Rezaei N, Rezaei N, Rezapour A, Riad A, Roberts TJ, Romero-Rodríguez E, Roshandel G, S M, S N C, Saddik B, Saeb MR, Saeed U, Safaei M, Sahebazzamani M, Sahebkar A, Salek Farrokhi A, Samy AM, Santric-Milicevic MM, Sathian B, Satpathy M, Šekerija M, Senthilkumaran S, Seylani A, Shafaat O, Shahsavari HR, Shamsoddin E, Sharew MM, Sharifi-Rad J, Shetty JK, Shivakumar KM, Shobeiri P, Shorofi SA, Shrestha S, Siddappa Malleshappa SK, Singh P, Singh JA, Singh G, Sinha DN, Solomon Y, Suleman M, Suliankatchi Abdulkader R, Taheri Abkenar Y, Talaat IM, Tan KK, Tbakhi A, Thiyagarajan A, Tiyuri A, Tovani-Palone MR, Unnikrishnan B, Vo B, Volovat SR, Wang C, Westerman R, Wickramasinghe ND, Xiao H, Yu C, Yuce D, Yunusa I, Zadnik V, Zare I, Zhang ZJ, Zoladl M, Force LM, and Hugo FN
Subjects: Adult, Female, Humans, Male, Global Health, Incidence, Lip, Quality-Adjusted Life Years, Risk Factors, Tobacco Use epidemiology, Global Burden of Disease, Pharyngeal Neoplasms epidemiology
Abstract: Importance: Lip, oral, and pharyngeal cancers are important contributors to cancer burden worldwide, and a comprehensive evaluation of their burden globally, regionally, and nationally is crucial for effective policy planning., Objective: To analyze the total and risk-attributable burden of lip and oral cavity cancer (LOC) and other pharyngeal cancer (OPC) for 204 countries and territories and by Socio-demographic Index (SDI) using 2019 Global Burden of Diseases, Injuries, and Risk Factors (GBD) Study estimates., Evidence Review: The incidence, mortality, and disability-adjusted life years (DALYs) due to LOC and OPC from 1990 to 2019 were estimated using GBD 2019 methods. The GBD 2019 comparative risk assessment framework was used to estimate the proportion of deaths and DALYs for LOC and OPC attributable to smoking, tobacco, and alcohol consumption in 2019., Findings: In 2019, 370 000 (95% uncertainty interval [UI], 338 000-401 000) cases and 199 000 (95% UI, 181 000-217 000) deaths for LOC and 167 000 (95% UI, 153 000-180 000) cases and 114 000 (95% UI, 103 000-126 000) deaths for OPC were estimated to occur globally, contributing 5.5 million (95% UI, 5.0-6.0 million) and 3.2 million (95% UI, 2.9-3.6 million) DALYs, respectively. From 1990 to 2019, low-middle and low SDI regions consistently showed the highest age-standardized mortality rates due to LOC and OPC, while the high SDI strata exhibited age-standardized incidence rates decreasing for LOC and increasing for OPC. Globally in 2019, smoking had the greatest contribution to risk-attributable OPC deaths for both sexes (55.8% [95% UI, 49.2%-62.0%] of all OPC deaths in male individuals and 17.4% [95% UI, 13.8%-21.2%] of all OPC deaths in female individuals). Smoking and alcohol both contributed to substantial LOC deaths globally among male individuals (42.3% [95% UI, 35.2%-48.6%] and 40.2% [95% UI, 33.3%-46.8%] of all risk-attributable cancer deaths, respectively), while chewing tobacco contributed to the greatest attributable LOC deaths among female individuals (27.6% [95% UI, 21.5%-33.8%]), driven by high risk-attributable burden in South and Southeast Asia., Conclusions and Relevance: In this systematic analysis, disparities in LOC and OPC burden existed across the SDI spectrum, and a considerable percentage of burden was attributable to tobacco and alcohol use. These estimates can contribute to an understanding of the distribution and disparities in LOC and OPC burden globally and support cancer control planning efforts.
Published: 2023
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34. Prescription patterns of analgesics for oral conditions in india - Analysis of large medical audit data of outpatients in India's private healthcare sector.

Author: Sayeed S, Mathur MR, Mishra VK, Nagrath D, and Watt RG
Subjects: Humans, Analgesics therapeutic use, Anti-Inflammatory Agents, Non-Steroidal therapeutic use, India, Medical Audit, Prescriptions, Outpatients, Health Care Sector
Abstract: Background: Analgesic use needs to be regulated due to its adverse effects. This study aimed to analyse the change in prescription rates and patterns of the analgesics prescribed for various oral conditions and to analyse their trends across different age groups and gender to promote rational prescription of drugs and eventually influence regulatory policies., Methods: Secondary analysis was conducted on medical audit data collected from the private health sector in India. The prescription rate per 1000 persons per year was calculated from May 2013 to April 2016 using the mean projected population (PP) of India. Cross-tabulations were conducted to analyse the prescription rate and their changes across different age groups, gender and oral conditions., Findings: The mean analgesic prescription rate was highest among the 20-40 age group, and the highest increase was noted in 'non-steroidal anti-inflammatory drug (NSAID) combinations' (3.56 per 1000 persons per year) from May 2013 to April 2016. The 'NSAID combinations' group was also the most prescribed medication across all the oral conditions, with 'diseases of hard tissues' having the highest prescription rate (41.4 and 45.6 per 1000 persons per year, respectively, for 2013-14 and 2015-16)., Interpretation: The results indicate an overall increase in the analgesic prescription rate, especially 'NSAID combinations' for each dental disease and age group, a finding that is hard to explain. Due to the lack of prescription guidelines in India, it is difficult to assess whether these analgesics were prescribed rationally or not., Competing Interests: None
Published: 2023
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35. Impact of socioeconomic status on children and adolescent's orthodontic treatment; A Systematic Review.

Author: Lemasney NM and Mathur MR
Subjects: Humans, Child, Adolescent, Social Class, Dental Care
Abstract: Background: Good evidence is available that socioeconomic status (SES) positively correlates with access to orthodontic treatment. There is much less literature, however, on whether socioeconomic inequities affect patients once they are in treatment. SES predicts of treatment outcomes across many health disciplines., Objectives: To determine whether a similar relationship exists with orthodontic treatment and identify, evaluate and summarise the available evidence., Methods: Systematic review with searches of multiple databases to identify studies of children and adolescents who underwent orthodontic treatment, in which parental SES was the variable of interest, and treatment duration, treatment outcome or adherence of patients to the treatment plan were the measured outcomes of interest. Quality appraisal used CASP checklists. Data were synthesised narratively and in tables and graphs., Results: Seventeen studies were included in the final review. The high level of heterogeneity between studies made it hard to draw conclusions from the data as a whole. Many studies also had several quality issues. Some evidence suggested an association between low SES and discontinuation of orthodontic treatment, and between the receipt of state subsidised care and poor appointment attendance., Conclusion: No strong associations can be concluded. There is a need for more high-quality studies, perhaps incorporating access and uptake variables, to capture how different socioeconomic groups interact with orthodontic care., (Copyright© 2023 Dennis Barber Ltd.)
Published: 2023
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36. Antibiotic prescriptions for oral diseases in India: evidence from national prescription data.

Author: Mathur MR, Nagrath D, Mishra VK, Harris R, Saeed SS, Selvaraj S, Mehta A, and Farooqui HH
Subjects: Humans, Cephalosporins, Penicillins, India epidemiology, Anti-Bacterial Agents therapeutic use, Drug Prescriptions
Abstract: Introduction: The key objective of this research was to describe the prescription rate of various antibiotics for dental problems in India and to study the relevance of the prescriptions by analysing antibiotic types associated with different dental diagnoses, using a large-scale nationally representative dataset., Methods: We used a 12-month period (May 2015 to April 2016) medical audit dataset from IQVIA (formerly IMS Health). We coded the dental diagnosis provided in the medical audit data to the International Statistical Classification of Diseases and Related Health Problems (ICD-11) and the prescribed antibiotics for the diagnosis to the Anatomic Therapeutic Chemical (ATC) -2020 classification of the World Health Organization. The primary outcome measure was the medicine prescription rate per 1,000 persons per year (PRPY 1000 )., Results: Our main findings were-403 prescriptions per 1,000 persons per year in the year 2015 -2016 for all dental ailments. Across all ATC level 1 classification, 'Diseases of hard tissues' made up the majority of the prescriptions. 'Beta-lactam', 'Penicillin,' and 'Cephalosporins' were the most commonly prescribed antibiotics for dental diagnoses followed by 'Macrolides' and 'Quinolones'. 'Dental caries', 'Discoloration of tooth', and 'Toothache' were the most common reasons for 'Beta-Lactams' and 'Penicillin' prescriptions., Conclusion: To conclude our study reports first ever country (India) level estimates of antibiotic prescription by antibiotic classes, age groups, and ICD-11 classification for dental ailments., (© 2023. The Author(s).)
Published: 2023
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37. Out-of-pocket expenditure on childhood infections and its financial burden on Indian households: Evidence from nationally representative household survey (2017-18).

Author: Farooqui HH, Karan A, Mathur MR, Hussain S, and Selvaraj S
Subjects: Child, Humans, Family Characteristics, Poverty, Hospitalization, India epidemiology, Health Expenditures, Financial Stress
Abstract: The key objective of this research was to estimate out of pocket expenditure (OOPE) incurred by the Indian households for the treatment of childhood infections. We estimated OOPE estimates on outpatient care and hospitalization by disease conditions and type of health facilities. In addition, we also estimated OOPE as a share of households' total consumption expenditure (TCE) by MPCE quintile groups to assess the quantum of the financial burden on the households. We analyzed the Social Consumption: Health (SCH) data from National Sample Survey Organization (NSSO) 75th round (2017-18). Outcome indicators were prevalence of selected infectious diseases in children aged less than 5 years, per episode of OOPE on outpatient care in the preceding 15 days, hospitalization in the preceding year and OOPE as a share of households' total consumption expenditure. Our analysis suggests that the most common childhood infection was 'fever with rash' followed by 'acute upper respiratory infection' and 'acute meningitis'. However, the highest OOPE for outpatient care and hospitalization was reported for 'viral hepatitis' and 'tuberculosis' episodes. Among the households reporting childhood infections, OOPE was 4.8% and 6.7% of households' total consumption expenditure (TCE) for outpatient care and hospitalization, respectively. Furthermore, OOPE as a share of TCE was disproportionately higher for the poorest MPCE quintiles (outpatient, 7.9%; hospitalization, 8.2%) in comparison to the richest MPCE quintiles (outpatient, 4.8%; hospitalization, 6.7%). This treatment and care-related OOPE has equity implications for Indian households as the poorest households bear a disproportionately higher burden of OOPE as a share of TCE. Ensuring financial risk protection and universal access to care for childhood illnesses is critical to addressing inequity in care., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2022 Farooqui et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
Published: 2022
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38. Evaluating the impact of price regulation (Drug Price Control Order 2013) on antibiotic sales in India: a quasi-experimental analysis, 2008-2018.

Author: Selvaraj S, Farooqui HH, Mehta A, and Mathur MR
Abstract: Background: In India, due to a lack of population-level financial risk protection mechanisms, the expenditure on healthcare is primarily out-of-pocket in nature. Through Drug Price Control Orders (DPCOs), the Indian Government attempts to keep medicine prices under check. The aim of this study was to measure the potential impact of DPCO 2013 on the utilization of antibiotics under price regulation in India using large nationally representative pharmaceutical sales data., Methods: We used interrupted time series analysis, a quasi-experimental research design to estimate the impact of DPCO 2013 on the utilization of antibiotics in the private sector in India. Indian pharmaceutical sales data set, PharmaTrac from a market research company-All Indian Origin Chemists and Distributors Limited-was used for the study. The data are collected from a panel of around 18,000 stockists across 23 different regions of the country. The primary outcome measure is the percentage change (increase or decrease) in the sales volume of the antibiotics under DPCO 2013, measured in standard units (SUs)., Results: Our estimates suggest that post-intervention (after notification of DPCO 2013) there was an immediate reduction (level change) in the sales of antibiotics under DPCO 2013 by 3.7% (P > 0.05), followed by a sustained decline (trend change) of 0.3% (P > 0.05) as compared to the pre-intervention trend at the molecule level, but both changes were statistically insignificant. However, in terms of 'average monthly market share,' the DPCO 2013 notification resulted in a sharp reduction of 579% (P < 0.05) (level change) followed by a sustained increase of 9.5% (P > 0.05) (trend change) in the 'market share of antibiotics under DPCO' as compared to pre-intervention trend., Conclusions: The impact of DPCO 2013 in terms of the overall increase in the utilization of antibiotics under price regulation was limited but there was a switch from non-price controlled antibiotics to price regulated antibiotics (notified under DPCO 2013). We argue that policies on price control need to be complemented with continuous monitoring of market behavior to have a measurable and long-term impact., (© 2022. The Author(s).)
Published: 2022
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39. An opportunity for inclusive and human-centred design.

Author: Leason I, Longridge N, Mathur MR, and Nickpour F
Subjects: Humans, Delivery of Health Care, Patient-Centered Care
Abstract: Challenges and trends, such as person-centred care, demographic shifts and technological advancements, are transforming oral health systems. Inclusive design and human-centred design are disciplines highly relevant and potentially instrumental to these oral healthcare transformations. This paper provides an overview of the definitions and characteristics of inclusive and human-centred design which centre on understanding people's multifaceted needs, expectations, behaviours and relationships, and engaging with diverse and often excluded populations. Design's broad capabilities are outlined across outcome and contribution types and the potential role of inclusive and human-centred design to oral health is explored by outlining its relevance to key transformational, societal and technological shifts. Finally, barriers and drivers to the adoption of inclusive and human-centred design in oral health are discussed around three themes: awareness and understanding of the role and value of design; disciplinary differences; and the wider healthcare systems context., (© 2022. The Author(s), under exclusive licence to the British Dental Association.)
Published: 2022
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40. Multimorbidity, healthcare use and catastrophic health expenditure by households in India: a cross-section analysis of self-reported morbidity from national sample survey data 2017-18.

Author: Karan A, Farooqui HH, Hussain S, Hussain MA, Selvaraj S, and Mathur MR
Subjects: Humans, India epidemiology, Morbidity, Multimorbidity, Self Report, Health Expenditures, Noncommunicable Diseases
Abstract: Background: The purpose of this research is to generate new evidence on the economic consequences of multimorbidity on households in terms of out-of-pocket (OOP) expenditures and their implications for catastrophic OOP expenditure., Methods: We analyzed Social Consumption Health data from National Sample Survey Organization (NSSO) 75th round conducted in the year 2017-2018 in India. The sample included 1,13,823 households (64,552 rural and 49,271 urban) through a multistage stratified random sampling process. Prevalence of multimorbidity and related OOP expenditure were estimated. Using Coarsened Exact Matching (CEM) we estimated the mean OOP expenditure for individuals reporting multimorbidity and single morbidity for each episode of outpatient visits and hospital admission. We also estimated implications in terms of catastrophic OOP expenditure for households., Results: Results suggest that outpatient OOP expenditure is invariably lower in the presence of multimorbidity as compared with single conditions of the selected Non-Communicable Diseases(NCDs) (overall, INR 720 [USD 11.3] for multimorbidity vs. INR 880 [USD 14.8] for single). In the case of hospitalization, the OOP expenditures were mostly higher for the same NCD conditions in the presence of multimorbidity as compared with single conditions, except for cancers and cardiovascular diseases. For cancers and cardiovascular, OOP expenditures in the presence of multimorbidity were lower by 39% and 14% respectively). Furthermore, around 46.7% (46.674-46.676) households reported incurring catastrophic spending (10% threshold) because of any NCD in the standalone disease scenario which rose to 63.3% (63.359-63.361) under the multimorbidity scenario. The catastrophic implications of cancer among individual diseases was the highest., Conclusions: Multimorbidity leads to high and catastrophic OOP payments by households and treatment of high expenditure diseases like cancers and cardiovascular are under-financed by households in the presence of competing multimorbidity conditions. Multimorbidity should be considered as an integrated treatment strategy under the existing financial risk protection measures (Ayushman Bharat) to reduce the burden of household OOP expenditure at the country level., (© 2022. The Author(s).)
Published: 2022
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41. Engaging citizens to improve service provision for oral health.

Author: Listl S, Lavis JN, Cohen LK, and Mathur MR
Subjects: Humans, Health Services Accessibility, Oral Health
Published: 2022
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42. Validation and minimally important difference of the Child-OIDP in a socioeconomically diverse sample of Indian adolescents.

Author: Mathur MR, Nagrath D, Yusuf H, Mishra VK, and Tsakos G
Subjects: Adolescent, Cross-Sectional Studies, Humans, Psychometrics, Reproducibility of Results, Oral Health, Quality of Life
Abstract: Introduction: While different measures have been validated and used to assess the oral health related quality of life (OHRQoL) of children and adolescents, no previous study has tested the psychometric performance of OHRQoL amongst the most marginalized adolescents, living in extremely deprived neighbourhoods like urban slums and resettlement areas in modern cities. Our study assessed the internal consistency reliability, construct validity and Minimally Important Difference (MID) of the Child-OIDP in a sample of adolescents aged 12-15 years reporting oral health problems that lived in three different types (including two extremely vulnerable) of neighbourhoods (urban slums, resettlement colonies, and middle and upper middle-class neighbourhoods) in the National Capital Territory of Delhi., Methods: We conducted data analysis on a cross-sectional study, comprising of 840 adolescents. The Child-OIDP was used as a measure of OHRQoL. Internal consistency reliability was tested using the standardized Cronbach's Alpha Coefficient. The Child-OIDP was also tested for content and construct validity (the latter through the median test), while a distribution-based approach was used to identify the MID., Results: The Indian Child-OIDP showed good internal consistency, as the Cronbach's alpha coefficient was 0.77. Inter-item correlation coefficients among the items ranged from 0.13 to 0.50, with the mean inter-item correlation being 0.30. The corrected item-total correlations ranged from 0.30 (social contact) to 0.54 (speaking). For construct validity, the Child-OIDP extent was significantly associated with three subjective oral and general health variables in the expected direction. The calculated effect sizes for these differences indicated that they were moderate (0.50-0.79). We also calculated the standard error of measurement (SEM) of Child-OIDP extent as 0.75., Conclusion: This study demonstrated that the Indian Child-OIDP is a reliable and valid measure for the assessment of the oral health related quality of life among Indian adolescents especially from marginalised and socioeconomically vulnerable groups. This is an essential step towards assessing oral health and evaluating oral health promotion interventions in those populations and settings., (© 2022. The Author(s).)
Published: 2022
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43. The burden of mental disorders, substance use disorders and self-harm among young people in Europe, 1990-2019: Findings from the Global Burden of Disease Study 2019.

Author: Castelpietra G, Knudsen AKS, Agardh EE, Armocida B, Beghi M, Iburg KM, Logroscino G, Ma R, Starace F, Steel N, Addolorato G, Andrei CL, Andrei T, Ayuso-Mateos JL, Banach M, Bärnighausen TW, Barone-Adesi F, Bhagavathula AS, Carvalho F, Carvalho M, Chandan JS, Chattu VK, Couto RAS, Cruz-Martins N, Dargan PI, Deuba K, da Silva DD, Fagbamigbe AF, Fernandes E, Ferrara P, Fischer F, Gaal PA, Gialluisi A, Haagsma JA, Haro JM, Hasan MT, Hasan SS, Hostiuc S, Iacoviello L, Iavicoli I, Jamshidi E, Jonas JB, Joo T, Jozwiak JJ, Katikireddi SV, Kauppila JH, Khan MAB, Kisa A, Kisa S, Kivimäki M, Koly KN, Koyanagi A, Kumar M, Lallukka T, Langguth B, Ledda C, Lee PH, Lega I, Linehan C, Loureiro JA, Madureira-Carvalho ÁM, Martinez-Raga J, Mathur MR, McGrath JJ, Mechili EA, Mentis AA, Mestrovic T, Miazgowski B, Mirica A, Mirijello A, Moazen B, Mohammed S, Mulita F, Nagel G, Negoi I, Negoi RI, Nwatah VE, Padron-Monedero A, Panda-Jonas S, Pardhan S, Pasovic M, Patel J, Petcu IR, Pinheiro M, Pollok RCG, Postma MJ, Rawaf DL, Rawaf S, Romero-Rodríguez E, Ronfani L, Sagoe D, Sanmarchi F, Schaub MP, Sharew NT, Shiri R, Shokraneh F, Sigfusdottir ID, Silva JP, Silva R, Socea B, Szócska M, Tabarés-Seisdedos R, Torrado M, Tovani-Palone MR, Vasankari TJ, Veroux M, Viner RM, Werdecker A, Winkler AS, Hay SI, Ferrari AJ, Naghavi M, Allebeck P, and Monasta L
Abstract: Background: Mental health is a public health issue for European young people, with great heterogeneity in resource allocation. Representative population-based studies are needed. The Global Burden of Disease (GBD) Study 2019 provides internationally comparable information on trends in the health status of populations and changes in the leading causes of disease burden over time., Methods: Prevalence, incidence, Years Lived with Disability (YLDs) and Years of Life Lost (YLLs) from mental disorders (MDs), substance use disorders (SUDs) and self-harm were estimated for young people aged 10-24 years in 31 European countries. Rates per 100,000 population, percentage changes in 1990-2019, 95% Uncertainty Intervals (UIs), and correlations with Sociodemographic Index (SDI), were estimated., Findings: In 2019, rates per 100,000 population were 16,983 (95% UI 12,823 - 21,630) for MDs, 3,891 (3,020 - 4,905) for SUDs, and 89·1 (63·8 - 123·1) for self-harm. In terms of disability, anxiety contributed to 647·3 (432-912·3) YLDs, while in terms of premature death, self-harm contributed to 319·6 (248·9-412·8) YLLs, per 100,000 population. Over the 30 years studied, YLDs increased in eating disorders (14·9%;9·4-20·1) and drug use disorders (16·9%;8·9-26·3), and decreased in idiopathic developmental intellectual disability (-29·1%;23·8-38·5). YLLs decreased in self-harm (-27·9%;38·3-18·7). Variations were found by sex, age-group and country. The burden of SUDs and self-harm was higher in countries with lower SDI, MDs were associated with SUDs., Interpretation: Mental health conditions represent an important burden among young people living in Europe. National policies should strengthen mental health, with a specific focus on young people., Funding: The Bill and Melinda Gates Foundation., Competing Interests: T W Bärnighausen reports Research grants from the European Union (Horizon 2020 and EIT Health), German Research Foundation (DFG), US National Institutes of Health, German Ministry of Education and Research, Alexander von Humboldt Foundation, Else-Kröner-Fresenius-Foundation, Wellcome Trust, Bill & Melinda Gates Foundation, KfW, UNAIDS, and WHO; consulting fees from KfW on the OSCAR initiative in Vietnam; participation on a Data Safety Monitoring Board or Advisory Board with NIH-funded study “Healthy Options” as Chair, Data Safety and Monitoring Board (DSMB) for the German National Committee on the “Future of Public Health Research and Education”, Chair of the scientific advisory board to the EDCTP Evaluation, Member of the UNAIDS Evaluation Expert Advisory Committee, National Institutes of Health Study Section Member on Population and Public Health Approaches to HIV/AIDS (PPAH), US National Academies of Sciences, Engineering, and Medicine's Committee for the “Evaluation of Human Resources for Health in the Republic of Rwanda under the President's Emergency Plan for AIDS Relief (PEPFAR)”, University of Pennsylvania Population Aging Research Center (PARC) External Advisory Board Member; leadership or fiduciary role in other board, society, committee or advocacy group, paid or unpaid as Co-chair of the Global Health Hub Germany, initiated by the German Ministry of Health); all outside the submitted work. J S Chandan reports grants or contracts from the National Institute of Health Research and has been awarded funds from the NIHR and the Youth Endowment Fund, outside the submitted work. J J Jozwiak reports payment or honoraria for lectures, presentations, speaker's bureaus, manuscript writing or educational events from Teva, Amgen, Synexus, Boehringer Ingelheim, ALAB Laboratories, and Zentiva, all as personal fees and outside the submitted work. S V Katikireddi reports support for the present manuscript form Medical Research Council and the Scottish Government Chief Scientist Office as funding to their institution. J H Kauppila reports grants or contracts from The Finnish Cancer Foundation, and Sigrid Juselius Foundation as payments made to their institution, outside the submitted work. M Kivimäki reports grants or contracts form Wellcome Trust, UK (221854/Z/20/Z), and the Medical Research Council, UK (MR/R024227/1, MR/S011676/1) as the PI of research funding for their university, outside the submitted work. G Logroscino reports honoraria for lectures from Amplifon, outside the submitted work. J A Louriero reports support for the present manuscript from Fundação para a Ciência e Técnologia (FCT) under the Scientific Employment Stimulus [CEECINST/00049/2018]. A-F A Mentis reports grants or contracts from ‘MilkSafe: A novel pipeline to enrich formula milk using omics technologies’, a research co-financed by the European Regional Development Fund of the European Union and Greek national funds through the Operational Program Competitiveness, Entrepreneurship and Innovation, under the call RESEARCH - CREATE - INNOVATE (project code: T2EDK-02222), as well as from ELIDEK (Hellenic Foundation for Research and Innovation, MIMS-860); stock or stock options in a family winery; all outside the submitted work. M J Postma reports stock or stock options from Health-Ecore and PAG, outside the submitted work. N Steel reports grants from Public Health England to their institution, outside the submitted work. R M Viner reports payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events from Canadian Academy of Child & Adolescent Psychiatry for lecture on mental health aspects of COVID-19 pandemic; leadership or fiduciary role in other board, society, committee or advocacy group, paid or unpaid, as the President of Royal College of Paediatrics & Child Health, 2018-2021; all outside the submitted work., (© 2022 The Author(s).)
Published: 2022
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44. Health policy and systems research: an inconsistent priority in South East Asia.

Author: Mathur MR, Gurung A, Selvaraj S, and Reddy KS
Subjects: Administrative Personnel, Asia, Eastern, Government Programs, Humans, Health Policy, Health Services Research
Abstract: Objectives and importance of study: The need for sufficient and reliable funding for health policy and systems research (HPSR) has attracted varying responses globally. Countries assisted by the South East Asian Regional Office (SEARO) of the World Health Organization (WHO) together make up one-quarter of the world's population. HPSR is not given a high priority in several SEARO countries, so there is a need to understand the barriers and facilitators that influence national HPSR funding. Our study aimed to fill this gap in the literature by studying the barriers to HPSR in five SEARO countries - Republic of Maldives, Nepal, Sri Lanka, Thailand and India - and the key political factors influencing HPSR funding., Study Type: Mixed methods., Methods: We conducted an in-depth desk review to obtain a general overview of HPSR in the five SEARO member countries. The review findings were used to frame a discussion guide for semi-structured interviews with key policy makers, health system experts and academics in the intervention countries. During the interviews, we validated the data from the desk review and explored the following key themes: a) the existing health system landscape of the country; b) organisations involved with HPSR; c) the nature of HPSR funding in the country (demand/supply led); d) budgetary allocations for HPSR; e) barriers to HPSR funding; f) measures to strengthen HPSR funding; and g) suggestions for the right mix for future HPSR funding. The study was conducted from October to December 2020., Results: Thailand is the only country among those studied with a well-established institution dedicated to HPSR. India, Sri Lanka, Republic of Maldives and Nepal are still lagging in providing a solid foundation for HPSR. Most of the countries lack a common definition of HPSR and a dedicated stream for HPSR funding. There is also a lack of local capacity to independently lead and conduct HPSR in most of the study countries., Conclusion: We have provided a profile of the existing landscape of health systems in the SEARO member countries and highlighted the determinants of HPSR funding. A common definition and interpretation of HPSR is required, which extends beyond geographical and disciplinary boundaries. There is a need for enhanced core domestic funding along with increased recruitment and availability of HPSR researchers in the study countries., Competing Interests: None declared.
Published: 2021
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45. Who do phone surveys miss, and how to reduce exclusion: recommendations from phone surveys in nine Indian states.

Author: Nagpal K, Mathur MR, Biswas A, and Fraker A
Subjects: Humans, India epidemiology, Surveys and Questionnaires, Cell Phone
Abstract: Computer-assisted telephone interviews (CATI) through mobile phones are a low-cost, rapid and safe way to collect data. However, decisions for how such mobile phone surveys are designed and implemented, and their data analysed, can have implications for the sample reached, and in turn affect the generalisability of sample estimates. In this practice paper, we propose a framework for extending the use of CATI-mobile phone surveys in India, which can be applied broadly to future surveys conducted using this method. Across the stages of design, implementation and analysis, we outline challenges in ensuring that the data collected through such surveys are representative and provide recommendations for reducing non-coverage and non-response errors, thereby enabling practitioners in India to use CATI-mobile phone surveys to estimate population statistics with lower bias. We support our analysis by drawing on primary data that we collected in five mobile phone surveys across nine Indian states in 2020. Our recommendations can help practitioners in India improve the representativeness of data collected through mobile phone surveys and generate more accurate estimates., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ.)
Published: 2021
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46. Pandemics & One Health: India's evolving response.

Author: Reddy KS and Mathur MR
Subjects: Humans, India epidemiology, Pandemics, COVID-19, One Health
Abstract: Competing Interests: None
Published: 2021
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47. Pandemic Considerations on Essential Oral Health Care.

Author: Benzian H, Beltrán-Aguilar E, Mathur MR, and Niederman R
Subjects: Delivery of Health Care, Humans, Oral Health, Quality of Life, SARS-CoV-2, COVID-19, Pandemics
Abstract: The coronavirus disease 2019 (COVID-19) pandemic revealed a lack of consensus on the concept of essential oral health care. We propose a definition of essential oral health care that includes urgent and basic oral health care to initiate a broader debate and stakeholder alignment. We argue that oral health care must be part of essential health care provided by any health system. Essential oral health care covers the most prevalent oral health problems through an agreed-on set of safe, quality, and cost-effective interventions at the individual and community level to promote and protect oral health, as well as prevent and treat common oral diseases, including appropriate rehabilitative services, thereby maintaining health, productivity, and quality of life. By default, essential oral health care does not include the full spectrum of possible interventions that contemporary dentistry can provide. On the basis of this definition, we conceptualize a layered model of essential oral health care that integrates urgent and basic oral health care, as well as advanced/specialist oral health care. Finally, we present 3 key reflections on the essentiality of oral health care. First, oral health care must be an integral component of a health care system's essential services, and by implication, oral health care personnel are part of the essential health care workforce. Second, not all dental care is essential oral health care, and not all essential care is also urgent, particularly under the specific risk conditions of the pandemic. Third, there is a need for criteria, evidence, and consensus-building processes to define which dental interventions are to be included in which category of essential oral health care. All stakeholders, including the research, academic, and clinical communities, as well as professional organizations and civil society, need to tackle this aspect in a concerted effort. Such consensus will be crucial for dentistry in view of the Sustainable Development Goal's push for universal health coverage, which must cover essential oral health care.
Published: 2021
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48. Exploring the perceptions, attitude and experiences of adolescents, their parents and teachers towards sugar sweetened beverages consumption in the National Capital Region of Delhi.

Author: Mathur MR, George MS, Nagrath D, and Watt RG
Subjects: Adolescent, Attitude, Beverages adverse effects, Cross-Sectional Studies, Humans, India, Parents, Perception, Sugar-Sweetened Beverages
Abstract: Objective: To understand perceptions, attitudes and experiences of school-going adolescents, their parents, teachers and school management towards sugar-sweetened beverages (SSBs)., Design: An exploratory qualitative study was undertaken., Setting: The study was conducted in selected, mixed, unaided schools in the state of Delhi., Subjects: Students of classes 8 to 12th, principals of schools, teachers, parents and school canteen owners., Results: SSBs formed an integral part of the diet of adolescents due to its taste and role as a thirst quencher. Respondents had a fair knowledge of health effects of SSBs. However, they were not aware of the range of drinks that constitute SSBs. Respondents associated SSBs with positivity and happiness. Promotion of SSBs by sports and film stars was cited as a major driver influencing consumption of SSBs by young people., Conclusions: SSBs were readily available even though schools had put in measures to restrict their availability in the premises. Peer pressure emerged as a key factor that drove the consumption of SSBs. Advertisements for SSBs involved individuals who were considered role models and these focused on themes that were important for young people such as belongingness, machismo and friendship among others. On the contrary, health promotion messages around obesity or the consumption of SSBs hardly had any brand ambassador or the visibility of campaigns that promoted SSBs., Competing Interests: None
Published: 2021
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49. The impact of stringent prescription-only antimicrobial sale regulation (Schedule H1) in India: an interrupted time series analysis, 2008-18.

Author: Farooqui HH, Selvaraj S, Mehta A, and Mathur MR
Abstract: Objectives: To assess the impact of Schedule H1 regulation notified and implemented in 2014 under the amended rules of the Drugs and Cosmetics Act (DCA), 1940 on the sale of antimicrobials in the private sector in India., Methods: The dataset was obtained from the Indian pharmaceutical sales database, PharmaTrac. The outcome measure was the sales volume of antimicrobials in standard units (SUs). A quasi-experimental research design-interrupted time series analysis-was used to detect the impact of the intervention., Results: We observed a substantial rise in antimicrobial consumption during 2008-18 in the private sector in India, both for antimicrobials regulated under Schedule H1 as well as outside the regulation. Key results suggested that post-intervention there was an immediate reduction (level change) in use of Schedule H1 antimicrobials by 10% ( P = 0.007), followed by a sustained decline (trend change) in utilization by 9% ( P > 0.000) compared with the pre-intervention trend. Segregated analysis on different antimicrobial classes suggests a sharp drop (level changes) and sustained decline (trend changes) in utilization post-intervention compared with the pre-intervention trend. Our findings remained robust on carrying out sensitivity analysis with the oral anti-diabetics market as a control. Post-intervention, the average monthly difference between antimicrobials under Schedule H1 and the control group witnessed an immediate increase of 16.3% ( P = 0.10) followed by a sustained reduction of 0.5% ( P = 0.13) compared with the pre-intervention scenario., Conclusions: Though the regulation had a positive impact in terms of reducing sales of antimicrobials notified under the regulation, optimizing the effectiveness of such stand-alone policies will be limited unless accompanied by a broader set of interventions., (© The Author(s) 2020. Published by Oxford University Press on behalf of the British Society for Antimicrobial Chemotherapy.)
Published: 2020
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50. Universal health coverage, oral health, equity and personal responsibility.

Author: Wang TT, Mathur MR, and Schmidt H
Subjects: Financing, Personal, Healthcare Disparities, Humans, Oral Health, Health Equity, Universal Health Insurance
Published: 2020
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