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1. Association of Subjective Social Status With Life's Simple 7s Cardiovascular Health Index Among Hispanic/Latino People: Results From the HCHS/SOL

Author: Piedra, Lissette M, Andrade, Flavia CD, Hernandez, Rosalba, Perreira, Krista M, Gallo, Linda C, González, Hector M, Gonzalez, Sara, Cai, Jianwen, Chen, Jinsong, Castañeda, Sheila F, Tabb, KM, Talavera, Gregory A, Durazo‐Arvizu, Ramon A, and Daviglus, Martha L
Subjects: Basic Behavioral and Social Science, Behavioral and Social Science, Prevention, Cardiovascular, Clinical Research, Good Health and Well Being, Adolescent, Adult, Aged, Cardiovascular Diseases, Cross-Sectional Studies, Female, Health Status, Health Status Indicators, Healthy Lifestyle, Heart Disease Risk Factors, Hispanic or Latino, Humans, Male, Middle Aged, Prospective Studies, Protective Factors, Psychological Distance, Risk Assessment, Social Determinants of Health, United States, Young Adult, cardiovascular health, Hispanic, Latino, subjective social status, Hispanic/Latino, Cardiorespiratory Medicine and Haematology
Abstract: Background Evidence suggests that subjective (perceived) social status (SSS) may predict health outcomes more strongly than objective social status, but little is known about the relationship between SSS and cardiovascular health (CVH). This study focuses on this relationship among diverse Hispanic/Latino adults because while poor CVH profiles are prevalent in this population, immigration complicates attempts to measure their social status. Methods and Results We analyzed baseline HCHS/SOL (Hispanic Community Health Study/Study of Latinos) data on 15 374 Hispanic/Latino adults aged 18 to 74 years in 2008 to 2011. SSS was assessed using the McArthur Scale, a 10-rung "social ladder." CVH was based on levels of 7 metrics defined by the American Heart Association. Linear and logistic regressions were used to examine cross-sectional associations of SSS with CVH (overall and single metrics) after adjusting for objective social status, demographic, and health factors. Less than half of the population (46%) had Ideal scores in ≥4 metrics of CVH. In multivariable-adjusted models, an increase in SSS was associated with a higher overall CVH score (β=0.04; 95% CI, 0.01-0.06) and greater likelihood of Ideal levels of body mass index, physical activity, and fasting blood glucose levels. Nativity and time in the United States modified the association between SSS and Ideal smoking. Conclusions Subjective measures of social status can enhance an understanding of CVH among Hispanic/Latino people. Future studies should explore the stability of SSS over time in comparison with objective social status and the mechanisms through which SSS may influence CVH.
Published: 2021

2. Burden of disease scenarios for 204 countries and territories, 2022–2050: a forecasting analysis for the Global Burden of Disease Study 2021

Author: Vollset, SE, Ababneh, HS, Abate, YH, Abbafati, C, Abbasgholizadeh, R, Abbasian, M, Abbastabar, H, Abd Al Magied, AHA, Abd ElHafeez, S, Abdelkader, A, Abdelmasseh, M, Abd-Elsalam, S, Abdi, P, Abdollahi, M, Abdoun, M, Abdullahi, A, Abebe, M, Abiodun, O, Aboagye, RG, Abolhassani, H, Abouzid, M, Aboye, GB, Abreu, LG, Absalan, A, Abualruz, H, Abubakar, B, Abukhadijah, HJJ, Addolorato, G, Adekanmbi, V, Adetunji, CO, Adetunji, JB, Adeyeoluwa, TE, Adha, R, Adhikary, RK, Adnani, QES, Adzigbli, LA, Afrashteh, F, Afzal, MS, Afzal, S, Agbozo, F, Agodi, A, Agrawal, A, Agyemang-Duah, W, Ahinkorah, BO, Ahlstrom, AJ, Ahmad, A, Ahmad, F, Ahmad, MM, Ahmad, S, Ahmed, A, Ahmed, H, Ahmed, S, Ahmed, SA, Akinosoglou, K, Akkaif, MA, Akrami, AE, Akter, E, Al Awaidy, S, Al Hasan, SM, Al Mosa, AS, Al Ta'ani, O, Al Zaabi, OAM, Alahdab, F, Alajlani, MM, Al-Ajlouni, Y, Alalalmeh, SO, Al-Aly, Z, Alam, K, Alam, N, Alam, T, Alam, Z, Al-amer, RM, Alanezi, FM, Alanzi, TM, Albakri, A, Aldhaleei, WA, Aldridge, RW, Alemohammad, SY, Alemu, YM, Al-Gheethi, AAS, Al-Hanawi, MK, Ali, A, Ali, I, Ali, MU, Ali, R, Ali, SSS, Ali, VE, Ali, W, Al-Ibraheem, A, Alicandro, G, Alif, SM, Aljunid, SM, Alla, F, Almazan, JU, Al-Mekhlafi, HM, Alqutaibi, AY, Alrawashdeh, A, Alrousan, SM, Al-Sabah, SK, Alsabri, MA, Altaany, Z, Al-Tammemi, AB, Al-Tawfiq, JA, Altirkawi, KA, Aluh, DO, Alvis-Guzman, N, Al-Wardat, MS, Al-Worafi, YM, Aly, H, Alyahya, MS, Alzoubi, KH, Al-Zyoud, W, Amani, R, Ameyaw, EK, Amin, TT, Amindarolzarbi, A, Amiri, S, Amirzade-Iranaq, MH, Amu, H, Amugsi, DA, Ancuceanu, R, Anderlini, D, Anderson, DB, Andrade, PP, Andrei, CL, Andrei, T, Andrews, EA, Anil, A, Anil, S, Anoushiravani, A, Antony, CM, Antriyandarti, E, Anuoluwa, BS, Anvari, S, Anyasodor, AE, Appiah, F, Aquilano, M, Arab, JP, Arabloo, J, Arafa, EA, Arafat, M, Aravkin, AY, Ardekani, A, Areda, D, Aregawi, BB, Aremu, A, Ariffin, H, Arkew, M, Armani, K, Artamonov, AA, Arumugam, A, Asghari-Jafarabadi, M, Ashbaugh, C, Astell-Burt, T, Athari, SS, Atorkey, P, Atout, MMW, Aujayeb, A, Ausloos, M, Awad, H, Awotidebe, AW, Ayatollahi, H, Ayuso-Mateos, JL, Azadnajafabad, S, Azeez, FK, Azevedo, RMS, Badar, M, Baghdadi, S, Bagheri, M, Bagheri, N, Bai, R, Baker, JL, Bako, AT, Balakrishnan, S, Balcha, WF, Baltatu, OC, Barchitta, M, Bardideh, E, Barker-Collo, SL, Bärnighausen, TW, Barqawi, HJ, Barteit, S, Basiru, A, Basso, JD, Bastan, M-M, Basu, S, Bauckneht, M, Baune, BT, Bayati, M, Bayileyegn, NS, Behnoush, AH, Behzadi, P, Beiranvand, M, Bello, OO, Belo, L, Beloukas, A, Bemanalizadeh, M, Bensenor, IM, Benzian, H, Beran, A, Berezvai, Z, Bernstein, RS, Bettencourt, PJG, Beyene, KA, Beyene, MG, Bhagat, DS, Bhagavathula, AS, Bhala, N, Bhandari, D, Bharadwaj, R, Bhardwaj, N, Bhardwaj, P, Bhargava, A, Bhaskar, S, Bhat, V, Bhattacharjee, NV, Bhatti, GK, Bhatti, JS, Bhatti, MS, Bhuiyan, MA, Bisignano, C, Biswas, B, Bjørge, T, Bodolica, V, Bodunrin, AO, Bonakdar Hashemi, M, Bora Basara, B, Borhany, H, Bosoka, SA, Botero Carvajal, A, Bouaoud, S, Boufous, S, Boxe, C, Boyko, EJ, Brady, OJ, Braithwaite, D, Brauer, M, Brazo-Sayavera, J, Brenner, H, Brown, CS, Browne, AJ, Brugha, T, Bryazka, D, Bulamu, NB, Buonsenso, D, Burkart, K, Burns, RA, Busse, R, Bustanji, Y, Butt, ZA, Caetano dos Santos, FL, Çakmak Barsbay, M, Calina, D, Campos, LA, Cao, S, Capodici, A, Cárdenas, R, Carreras, G, Carugno, A, Carvalho, M, Castaldelli-Maia, JM, Castelpietra, G, Cattaruzza, MS, Caye, A, Cegolon, L, Cembranel, F, Cenko, E, Cerin, E, Chadban, SJ, Chadwick, J, Chakraborty, C, Chakraborty, S, Chalek, J, Chan, JSK, Chandika, RM, Chandy, S, Charan, J, Chaudhary, AA, Chaurasia, A, Chen, A-T, Chen, H, Chen, MX, Chen, S, Cherbuin, N, Chi, G, Chichagi, F, Chimed-Ochir, O, Chimoriya, R, Ching, PR, Chirinos-Caceres, JL, Chitheer, A, Cho, DY, Cho, WCS, Choi, D-W, Chong, B, Chong, CL, Chopra, H, Chu, D-T, Chung, E, Chutiyami, M, Clayton, JT, Cogen, RM, Cohen, AJ, Columbus, A, Comfort, H, Conde, J, Connolly, JT, Cooper, EEK, Cortese, S, Cruz-Martins, N, da Silva, AG, Dadras, O, Dai, X, Dai, Z, Dalton, BE, Damiani, G, Dandona, L, Dandona, R, Das, JK, Das, S, Dash, NR, Davletov, K, De la Hoz, FP, De Leo, D, Debopadhaya, S, Delgado-Enciso, I, Denova-Gutiérrez, E, Dervenis, N, Desai, HD, Devanbu, VGC, Dewan, SMR, Dhama, K, Dhane, AS, Dhingra, S, Dias da Silva, D, Diaz, D, Diaz, LA, Diaz, MJ, Dima, A, Ding, DD, Do, THP, do Prado, CB, Dodangeh, M, Doegah, PT, Dohare, S, Dong, W, D'Oria, M, Doshi, R, Dowou, RK, Dsouza, HL, Dsouza, V, Dube, J, Dumith, SC, Duncan, BB, Duraes, AR, Duraisamy, S, Durojaiye, OC, Dushpanova, A, Dutta, S, Dzianach, PA, Dziedzic, AM, Eboreime, E, Ebrahimi, A, Ebrahimi Kalan, M, Edinur, HA, Efendi, F, Eikemo, TA, Eini, E, Ekundayo, TC, El Arab, RA, El Sayed, I, Elamin, O, Elemam, NM, ElGohary, GMT, Elhadi, M, Elmeligy, OAA, Elmoselhi, AB, Elshaer, M, Elsohaby, I, Eltahir, ME, Emeto, TI, Eshrati, B, Eslami, M, Esmaeili, Z, Fabin, N, Fagbamigbe, AF, Fagbule, OF, Falzone, L, Fareed, M, Farinha, CSES, Faris, MEM, Faro, A, Fasihi, K, Fatehizadeh, A, Fauk, NK, Fazylov, T, Feigin, VL, Fekadu, G, Feng, X, Fereshtehnejad, S-M, Ferrara, P, Ferreira, N, Firew, BS, Fischer, F, Fitriana, I, Flavel, J, Flor, LS, Folayan, MO, Foley, KM, Fonzo, M, Force, LM, Foschi, M, Freitas, A, Fridayani, NKY, Fukutaki, KG, Furtado, JM, Fux, B, Gaal, PA, Gadanya, MA, Gallus, S, Ganesan, B, Ganiyani, MA, Gautam, RK, Gebi, TG, Gebregergis, MW, Gebrehiwot, M, Getacher, L, Getahun, GKA, Gething, PW, Ghadimi, DJ, Ghadirian, F, Ghafarian, S, Ghailan, KY, Ghasemi, M, Ghasempour Dabaghi, G, Ghazy, RM, Ghoba, S, Gholami, E, Gholamrezanezhad, A, Gholizadeh, N, Ghorbani, M, Ghorbani Vajargah, P, Ghotbi, E, Gil, AU, Gill, TK, Girmay, A, Glasbey, JC, Glushkova, EV, Gnedovskaya, EV, Göbölös, L, Goldust, M, Goleij, P, Golinelli, D, Gopalani, SV, Goulart, AC, Gouravani, M, Goyal, A, Grivna, M, Grosso, G, Guarducci, G, Gubari, MIM, Guicciardi, S, Guimarães, RA, Gulati, S, Gulisashvili, D, Gunawardane, DA, Guo, C, Gupta, AK, Gupta, R, Gupta, S, Gupta, VK, Haakenstad, A, Hadi, NR, Haep, N, Hafiz, A, Haghmorad, D, Haile, D, Hajj Ali, A, Haj-Mirzaian, A, Halboub, ES, Haller, S, Halwani, R, Hamagharib Abdullah, K, Hamdy, NM, Hamoudi, R, Hanifi, N, Hankey, GJ, Haq, ZA, Haque, MR, Harapan, H, Hargono, A, Haro, JM, Hasaballah, AI, Hasan, SMM, Hasanian, M, Hasnain, MS, Hassan, A, Haubold, J, Hay, SI, Hebert, JJ, Hegazi, OE, Heidari, M, Hemmati, M, Henson, CA, Herrera-Serna, BY, Herteliu, C, Heydari, M, Hezam, K, Hidayana, I, Hiraike, Y, Hoan, NQ, Holla, R, Hoogar, P, Horita, N, Hossain, MM, Hosseinzadeh, H, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Hu, C, Huang, J, Hultström, M, Hundie, TG, Hunt, AJ, Hushmandi, K, Hussain, J, Hussain, MA, Hussein, NR, Huynh, H-H, Hwang, B-F, Ibitoye, SE, Iftikhar, PM, Ikiroma, AI, Ikwegbue, PC, Ilic, IM, Ilic, MD, Immurana, M, Isa, MA, Islam, MR, Islam, SMS, Ismail, F, Ismail, NE, Isola, G, Iwagami, M, Iyamu, IO, Jacob, L, Jacobsen, KH, Jafarinia, M, Jahankhani, K, Jahanmehr, N, Jain, N, Jairoun, AA, Jakhmola Mani, DR, Jamil, S, Jamora, RDG, Jatau, AI, Javadov, S, Javaheri, T, Jayaram, S, Jee, SH, Jeganathan, J, Jiang, H, Jokar, M, Jonas, JB, Joseph, N, Joshua, CE, Jürisson, M, K, V, Kabir, A, Kabir, Z, Kadashetti, V, Kalankesh, LR, Kalra, S, Kamath, A, Kamath, R, Kamireddy, A, Kanaan, M, Kanchan, T, Kanmiki, EW, Kanmodi, KK, Kansal, SK, Karim, A, Karkhah, S, Kashoo, FZ, Kasraei, H, Kassel, MB, Katikireddi, SV, Kauppila, JH, Kaur, H, Kayode, GA, Kazemi, F, Kazemian, S, Kebede, F, Kendal, ES, Kesse-Guyot, E, Khademvatan, S, Khajuria, H, Khalaji, A, Khalid, A, Khalid, N, Khalilian, A, Khamesipour, F, Khan, F, Khan, MJ, Khan, MAB, Khanmohammadi, S, Khatab, K, Khatatbeh, H, Khatatbeh, MM, Khatib, MN, Khayat Kashani, HR, Kheirallah, KA, Khokhar, M, Khormali, M, Khorrami, Z, Khosla, AA, Khosravi, M, Khosrowjerdi, M, Khubchandani, J, Kifle, ZD, Kim, G, Kim, JS, Kim, MS, Kim, YJ, Kimokoti, RW, Kisa, A, Kisa, S, Knibbs, LD, Knudsen, AKS, Kochhar, S, Kolahi, A-A, Kompani, F, Koren, G, Korzh, O, Krishan, K, Krishna, V, Krishnamoorthy, V, Kucuk Bicer, B, Kuddus, MA, Kuddus, M, Kuitunen, I, Kujan, O, Kulimbet, M, Kulkarni, V, Kumar, GA, Kumar, H, Kumar, N, Kumar, R, Kumar, V, Kundu, A, Kusuma, D, Kyei-Arthur, F, Kytö, V, Kyu, HH, La Vecchia, C, Lacey, B, Ladan, MA, Laflamme, L, Lahariya, C, Lai, DTC, Lalloo, R, Lallukka, T, Lám, J, Lan, Q, Lan, T, Landires, I, Lanfranchi, F, Langguth, B, Lansingh, VC, Laplante-Lévesque, A, Larijani, B, Larsson, AO, Lasrado, S, Lauriola, P, Lawlor, HR, Le, H-H, Le, LKD, Le, NHH, Le, TTT, Le, TDT, Leasher, JL, Lee, DW, Lee, M, Lee, PH, Lee, S-W, Lee, SW, Lee, SWH, Lee, YH, Leigh, J, Leong, E, Li, M-C, Libra, M, Ligade, VS, Lim, L-L, Lim, SS, Limenh, LW, Lindholm, D, Lindstedt, PA, Listl, S, Liu, G, Liu, S, Liu, X, Llanaj, E, López-Bueno, R, López-Gil, JF, Loreche, AM, Lotufo, PA, Lozano, R, Lubinda, J, Lucchetti, G, Luo, L, Lusk, JB, Lv, L, M Amin, HI, Ma, ZF, Maass, KL, Machairas, N, Machoy, M, Madureira-Carvalho, ÁM, Magdy Abd El Razek, H, Maghazachi, AA, Mahadeshwara Prasad, DR, Mahalleh, M, Mahasha, PW, Mahmoud, MA, Mahmoudi, E, Mahmoudvand, G, Makama, M, Malakan Rad, E, Malhotra, K, Malik, AA, Malta, DC, Manla, Y, Mansour, A, Mansouri, MH, Mansouri, P, Mansouri, V, Mansourian, M, Mansournia, MA, Marasini, BP, Marateb, HR, Maravilla, JC, Mardi, P, Marjani, A, Markazi Moghadam, H, Marrugo Arnedo, CA, Martinez, G, Martinez-Piedra, R, Martins-Melo, FR, Martorell, M, Marx, W, Marzo, RR, Masoudi, S, Mathangasinghe, Y, Mathioudakis, AG, Mathur, M, Mathur, N, Matozinhos, FP, Mattumpuram, J, Maude, RJ, Maugeri, A, Mayeli, M, Mazidi, M, Mazzotti, A, McGrath, JJ, McKee, M, McKowen, ALW, McPhail, MA, McPhail, SM, Mehmood, A, Mehrabani-Zeinabad, K, Mehravar, S, Mekene Meto, T, Melese, EB, Mendez-Lopez, MAM, Mendoza, W, Menezes, RG, Mensah, GA, Mensah, LG, Mentis, A-FA, Meo, SA, Meretoja, A, Meretoja, TJ, Mersha, AM, Mestrovic, T, Mettananda, KCD, Mettananda, S, Mhlanga, A, Mhlanga, L, Miazgowski, T, Michalek, IM, Micheletti Gomide Nogueira de Sá, AC, Miller, TR, Minh, LHN, Mirahmadi, A, Mirijello, A, Mirrakhimov, EM, Mirzaei, R, Mitchell, PB, Mittal, C, Moberg, ME, Moghadam Fard, A, Mohajelin, S, Mohamadkhani, A, Mohamed, AI, Mohamed, J, Mohamed, MFH, Mohamed, NS, Mohammad, AM, Mohammadi, S, Mohammed, H, Mohammed, M, Mohammed, S, Mokdad, AH, Molokhia, M, Momani, SM, Momtazmanesh, S, Monasta, L, Mondello, S, Moni, MA, Montazeri, F, Moodi Ghalibaf, A, Moradi, M, Moradi, Y, Moraga, P, Morawska, L, Moreira, RS, Morovatdar, N, Morrison, SD, Mosapour, A, Mosser, JF, Mossialos, E, Motappa, R, Mougin, V, Mousavi, P, Mrejen, M, Mubarik, S, Mueller, UO, Mulita, F, Munjal, K, Murillo-Zamora, E, Musallam, KM, Musina, A-M, Mustafa, G, Myung, W, Nafei, A, Nagarajan, AJ, Naghavi, P, Naik, GR, Naik, G, Nainu, F, Najdaghi, S, Nakhostin Ansari, N, Nangia, V, Narasimha Swamy, S, Nargus, S, Narimani Davani, D, Nascimento, BR, Nascimento, GG, Naser, AY, Nashwan, AJ, Natto, ZS, Nauman, J, Navaratna, SNK, Naveed, M, Nawsherwan, Nayak, BP, Nayak, VC, Negash, H, Negoi, I, Negoi, RI, Nejadghaderi, SA, Nejjari, C, Nematollahi, S, Netsere, HB, Ng, M, Nguefack-Tsague, G, Ngunjiri, JW, Nguyen, AH, Nguyen, DH, Nguyen, HTH, Nguyen, N, Nguyen, NNY, Nguyen, PT, Nguyen, QP, Nguyen, VT, Nguyen Tran Minh, D, Niazi, RK, Nigatu, YT, Niknam, M, Nikoobar, A, Nikpoor, AR, Nikravangolsefid, N, Noman, EA, Nomura, S, Noor, STA, Noroozi, N, Nouri, M, Nozari, M, Nri-Ezedi, CA, Ntaios, G, Nunemo, MH, Nurrika, D, Nutor, JJ, Nzoputam, CI, Nzoputam, OJ, Oancea, B, Obamiro, KO, Odetokun, IA, Oduro, MS, Ogundijo, OA, Ogunfowokan, AA, Ogunkoya, A, Oguntade, AS, Oh, I-H, Ojo-Akosile, TR, Okati-Aliabad, H, Okekunle, AP, Okonji, OC, Olagunju, AT, Olatubi, MI, Oliveira, GMM, Olusanya, BO, Olusanya, JO, Oluwafemi, YD, Omar, HA, Omer, GL, Ong, S, Onie, S, Onwujekwe, OE, Opejin, AO, Ordak, M, Orish, VN, Ortiz, A, Ortiz-Prado, E, Osman, WMS, Ostojic, SM, Ostroff, SM, Osuagwu, UL, Otoiu, A, Otstavnov, SS, Ouyahia, A, Owolabi, MO, Oyeyemi, OT, Ozair, A, P A, MP, Padron-Monedero, A, Padubidri, JR, Pal, PK, Palicz, T, Pan, F, Pan, H-F, Panda-Jonas, S, Pandey, A, Pando-Robles, V, Pangaribuan, HU, Panos, GD, Panos, LD, Pantazopoulos, I, Pantea Stoian, AM, Parikh, RR, Park, E-K, Park, S, Parsons, N, Parthasarathi, A, Pasovic, M, Passera, R, Patel, J, Pathan, AR, Patil, S, Patoulias, D, Pawar, S, Pazoki Toroudi, H, Pease, SA, Peden, AE, Pedersini, P, Pensato, U, Pepito, VCF, Peprah, P, Pereira, M, Pereira, MO, Perianayagam, A, Perico, N, Perna, S, Pesudovs, K, Petermann-Rocha, FE, Pham, HT, Philip, AK, Phillips, MR, Pigeolet, M, Piradov, MA, Pisoni, E, Plotnikov, E, Poddighe, D, Polibin, RV, Poluru, R, Ponkilainen, VT, Popovic, DS, Postma, MJ, Pour-Rashidi, A, Prabhu, D, Prada, SI, Pradhan, J, Pradhan, PMS, Prashant, A, Prates, EJS, Priscilla, T, Purnobasuki, H, Purohit, BM, Puvvula, J, Qasim, NH, Qattea, I, Qazi, AS, Qian, G, Rabiee Rad, M, Radhakrishnan, V, Raeisi Shahraki, H, Rafferty, Q, Raggi, A, Raggi, C, 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Mohammed, M, Mohammed, S, Mokdad, AH, Molokhia, M, Momani, SM, Momtazmanesh, S, Monasta, L, Mondello, S, Moni, MA, Montazeri, F, Moodi Ghalibaf, A, Moradi, M, Moradi, Y, Moraga, P, Morawska, L, Moreira, RS, Morovatdar, N, Morrison, SD, Mosapour, A, Mosser, JF, Mossialos, E, Motappa, R, Mougin, V, Mousavi, P, Mrejen, M, Mubarik, S, Mueller, UO, Mulita, F, Munjal, K, Murillo-Zamora, E, Musallam, KM, Musina, A-M, Mustafa, G, Myung, W, Nafei, A, Nagarajan, AJ, Naghavi, P, Naik, GR, Naik, G, Nainu, F, Najdaghi, S, Nakhostin Ansari, N, Nangia, V, Narasimha Swamy, S, Nargus, S, Narimani Davani, D, Nascimento, BR, Nascimento, GG, Naser, AY, Nashwan, AJ, Natto, ZS, Nauman, J, Navaratna, SNK, Naveed, M, Nawsherwan, Nayak, BP, Nayak, VC, Negash, H, Negoi, I, Negoi, RI, Nejadghaderi, SA, Nejjari, C, Nematollahi, S, Netsere, HB, Ng, M, Nguefack-Tsague, G, Ngunjiri, JW, Nguyen, AH, Nguyen, DH, Nguyen, HTH, Nguyen, N, Nguyen, NNY, Nguyen, PT, Nguyen, QP, Nguyen, VT, Nguyen Tran Minh, D, Niazi, RK, Nigatu, YT, Niknam, M, Nikoobar, A, Nikpoor, AR, Nikravangolsefid, N, Noman, EA, Nomura, S, Noor, STA, Noroozi, N, Nouri, M, Nozari, M, Nri-Ezedi, CA, Ntaios, G, Nunemo, MH, Nurrika, D, Nutor, JJ, Nzoputam, CI, Nzoputam, OJ, Oancea, B, Obamiro, KO, Odetokun, IA, Oduro, MS, Ogundijo, OA, Ogunfowokan, AA, Ogunkoya, A, Oguntade, AS, Oh, I-H, Ojo-Akosile, TR, Okati-Aliabad, H, Okekunle, AP, Okonji, OC, Olagunju, AT, Olatubi, MI, Oliveira, GMM, Olusanya, BO, Olusanya, JO, Oluwafemi, YD, Omar, HA, Omer, GL, Ong, S, Onie, S, Onwujekwe, OE, Opejin, AO, Ordak, M, Orish, VN, Ortiz, A, Ortiz-Prado, E, Osman, WMS, Ostojic, SM, Ostroff, SM, Osuagwu, UL, Otoiu, A, Otstavnov, SS, Ouyahia, A, Owolabi, MO, Oyeyemi, OT, Ozair, A, P A, MP, Padron-Monedero, A, Padubidri, JR, Pal, PK, Palicz, T, Pan, F, Pan, H-F, Panda-Jonas, S, Pandey, A, Pando-Robles, V, Pangaribuan, HU, Panos, GD, Panos, LD, Pantazopoulos, I, Pantea Stoian, AM, Parikh, RR, Park, E-K, Park, S, Parsons, N, Parthasarathi, A, Pasovic, M, Passera, R, Patel, J, Pathan, AR, Patil, S, Patoulias, D, Pawar, S, Pazoki Toroudi, H, Pease, SA, Peden, AE, Pedersini, P, Pensato, U, Pepito, VCF, Peprah, P, Pereira, M, Pereira, MO, Perianayagam, A, Perico, N, Perna, S, Pesudovs, K, Petermann-Rocha, FE, Pham, HT, Philip, AK, Phillips, MR, Pigeolet, M, Piradov, MA, Pisoni, E, Plotnikov, E, Poddighe, D, Polibin, RV, Poluru, R, Ponkilainen, VT, Popovic, DS, Postma, MJ, Pour-Rashidi, A, Prabhu, D, Prada, SI, Pradhan, J, Pradhan, PMS, Prashant, A, Prates, EJS, Priscilla, T, Purnobasuki, H, Purohit, BM, Puvvula, J, Qasim, NH, Qattea, I, Qazi, AS, Qian, G, Rabiee Rad, M, Radhakrishnan, V, Raeisi Shahraki, H, Rafferty, Q, Raggi, A, Raggi, C, Raheem, N, Rahim, F, Rahim, MJ, Rahimibarghani, S, Rahman, MMMR, Rahman, M, Rahman, MA, Rahman, T, Rahmani, AM, Rahmanian, M, Rahmanian, N, Rahmati, R, Rahmawaty, S, Raimondo, D, Raja, A, Rajput, P, Ramadan, M, Ramasamy, SK, Ramazanu, S, Ramteke, PW, Rana, K, Rana, RK, Ranabhat, CL, Rane, A, Rao, CR, Rao, M, Rasella, D, Rashedi, V, Rashid, AM, Rasouli-Saravani, A, Rastogi, P, Rasul, A, Rathish, D, Rathnaiah Babu, G, Rauniyar, SK, Ravangard, R, Rawaf, DL, Rawaf, S, Raza, RZ, Redwan, EMM, Reifels, L, Reitsma, MB, Remuzzi, G, Rengasamy, KRR, Reshmi, B, Resnikoff, S, Restaino, S, Reyes, LF, Rezaei, N, Rezaei, ZS, Rezaeian, M, Rhee, TG, Rickard, J, Robalik, T, Robinson-Oden, HE, Rocha, HAL, Rodrigues, M, Rodriguez, JAB, Roever, L, Romadlon, DS, Ronfani, L, Rony, MKK, Roshandel, G, Rotimi, K, Rout, HS, Roy, B, Rubagotti, E, Ruela, GDA, Rumisha, SF, Runghien, T, Russo, M, Saad, AMA, Saber, K, Saber-Ayad, MM, Sabet, CJ, Sabour, S, Sachdev, PS, Saddler, A, Sadee, BA, Sadeghi, M, Saeb, MR, Saeed, U, Safi, SZ, Sagar, R, Saghafi, A, Sagoe, D, Sahebkar, A, Sahoo, PM, Sajid, MR, Salam, N, Salamati, P, Salami, AA, Saleh, MA, Salehi, L, Salem, MR, Salemcity, AJ, Salimi, S, Samadi Kafil, H, Samargandy, S, Samodra, YL, Samy, AM, Sanabria, J, Sanna, F, Santric-Milicevic, MM, Sao Jose, BP, Saraswathy, SYI, Saravanan, A, Sarmiento-Suárez, R, Sarode, GS, Sarode, SC, Sartorius, B, Satpathy, M, Sayeed, A, Scarmeas, N, Schaarschmidt, BM, Schinckus, C, Schuermans, A, Schumacher, AE, Schutte, AE, Schwebel, DC, Schwendicke, F, Selvaraj, S, Semreen, MH, Senapati, S, Sengupta, P, Senthilkumaran, S, Serban, D, Sethi, Y, Seylani, A, Shafie, M, Shah, PA, Shahbandi, A, Shahid, S, Shahid, W, Shahsavari, HR, Shahwan, MJ, Shaikh, MA, Shalash, AS, Shamekh, A, Shamim, MA, Shanawaz, M, Shankar, A, Shannawaz, M, Sharath, M, Sharfaei, S, Sharifan, A, Sharifi-Rad, J, Sharma, A, Sharma, M, Sharma, S, Sharma, V, Shastry, RP, Shayan, M, Shekhar, S, Shenoy, RR, Shetty, M, Shetty, PH, Shetty, PK, Shi, P, Shiani, A, Shigematsu, M, Shimels, T, Shiri, R, Shittu, A, Shiue, I, Shivakumar, KM, Shool, S, Shorofi, SA, Shrestha, S, Shuval, K, Si, Y, Siddig, EE, Sidhu, JK, Silva, JP, Silva, LMLR, Silva, S, Silva, TPR, Simpson, CR, Simpson, KE, Singh, A, Singh, BB, Singh, B, Singh, H, Singh, J, Singh, P, Skou, ST, Smith, G, Sobia, F, Socea, B, Solanki, S, Soleimani, H, Soliman, SSM, Song, Y, Soyiri, IN, Spartalis, M, Spearman, S, Sreeramareddy, CT, Stanaway, JD, Stanikzai, MH, Starodubova, AV, Stein, DJ, Steiner, C, Steiropoulos, P, Stockfelt, L, Stokes, MA, Straif, K, Subedi, N, Suliankatchi Abdulkader, R, Sultana, A, Sun, J, Sundström, J, Swain, CK, Szarpak, L, Szeto, MD, Tabaee Damavandi, P, Tabarés-Seisdedos, R, Tabatabaei Malazy, O, Tabatabaeizadeh, S-A, Tabatabai, S, Tabb, KM, Tabche, C, Tabish, M, Taheri Abkenar, Y, Taheri Soodejani, M, Taiba, J, Talaat, IM, Tamuzi, JL, Tan, K-K, Tang, H, Tat, NY, Tavakoli Oliaee, R, Tavangar, SM, Taveira, N, Tbakhi, A, Tehrani, H, Temsah, M-H, Teramoto, M, Tesfaye, BT, Teye-Kwadjo, E, Thangaraju, P, Thankappan, KR, Thapar, R, Thayakaran, R, Thirunavukkarasu, S, Thomas, N, Thygesen, LC, Ticoalu, JHV, Timalsena, D, Tiruye, TY, Tiwari, K, Tomo, S, Tonelli, M, Topor-Madry, R, Touvier, M, Tovani-Palone, MR, Tran, AT, Tran, JT, Tran, NM, Tran, TH, Trico, D, Tromans, SJ, Truyen, TTTT, Tsatsakis, A, Tsermpini, EE, Tumurkhuu, M, Turnock, ST, Udoh, A, Ullah, A, Ullah, S, Umakanthan, S, Umar, M, Umar, SS, Unim, B, Unnikrishnan, B, Upadhyay, E, Usman, JS, Vahdati, S, Vaithinathan, AG, Vakili, O, Valizadeh, R, Van den Eynde, J, Vart, P, Varthya, SB, Vasankari, TJ, Vasic, M, Venketasubramanian, N, Veroux, M, Verras, G-I, Vervoort, D, Vijayageetha, M, Villafañe, JH, Vinayak, M, Violante, FS, Vladimirov, SK, Vlassov, V, Vo, B, Vohra, K, Vos, T, Wadood, AW, Waheed, Y, Wang, F, Wang, S, Wang, Y, Wang, Y-P, Wanjau, MN, Waqas, M, Ward, P, Waris, A, Wassie, EG, Watson, S, Weaver, MR, Weerakoon, KG, Weintraub, RG, Weldetinsaa, HLL, Wells, KM, Wen, YF, Westerman, R, Wiangkham, T, Wickramasinghe, DP, Widowati, E, Wojewodzic, MW, Woldeyes, DH, Wolf, AW, Wolfe, CDA, Wu, C, Wu, D, Wu, F, Wu, J, Wu, Z, Wulf Hanson, S, Xiao, H, Xu, S, Yadav, R, Yamagishi, K, Yang, D, Yano, Y, Yarahmadi, A, Yazdani Nia, I, Ye, P, Yesodharan, R, Yesuf, SA, Yezli, S, Yiğit, A, Yiğit, V, Yigzaw, ZA, Yin, D, Yip, P, Yonemoto, N, You, Y, Younis, MZ, Yu, C, Yu, EA, Yu, Y, Yuan, C-W, Yusuf, H, Zafar, U, Zafari, N, Zahid, MH, Zakham, F, Zaki, N, Zerfu, TA, Zhang, H, Zhang, J, Zhang, L, Zhang, Y, Zhang, Z, Zhao, X-JG, Zhao, Y, Zhao, Z, Zhong, C, Zhou, B, Zhou, J, Zhou, S, Zhu, B, Zhumagaliuly, A, Zielińska, M, Zoghi, G, Zumla, A, Zyoud, SH, Smith, AE, and Murray, CJL
Published: 2024

3. Lower education among low-income Brazilian adolescent females is associated with planned pregnancies

Author: Faisal-Cury A, Tabb KM, Niciunovas G, Cunningham C, Menezes PR, and Huang H
Subjects: adolescent pregnancy, planned pregnancy, Brazil, low-income population, women, Gynecology and obstetrics, RG1-991
Abstract: Alexandre Faisal-Cury,1 Karen M Tabb,2 Guilherme Niciunovas,3 Carrie Cunningham,4 Paulo R Menezes,1 Hsiang Huang4,5 1Department of Preventive Medicine, Faculty of Medicine, University of São Paulo, São Paulo, Brazil; 2School of Social Work, University of Illinois at Urbana-Champaign, Urbana, IL, USA; 3School of Medicine, Federal University of São Paulo, São Paulo, Brazil; 4Department of Psychiatry, Cambridge Health Alliance, Harvard Medical School, Cambridge, MA, USA; 5Department of Psychiatry, Laboratory of Psychopathology and Psychiatric Therapeutics (LIM-23), Faculty of Medicine, University of São Paulo, São Paulo, Brazil Abstract: Adolescent pregnancy has social, economic, and educational consequences and is also linked to adverse perinatal outcomes. However, studies show a positive relationship between pregnancy and increased social status among low-income adolescents. This study aims to assess the association between planned pregnancy and years of schooling among low-income Brazilian adolescents. This is a secondary analysis of a cohort study conducted from May 2005 to March 2007 in public primary care clinics in São Paulo, Brazil. Participants (n=168) completed a detailed structured questionnaire. Logistic regression was used to examine the association between years of schooling and planned pregnancy. After adjusting for the covariates income, wealth score, crowding, age, marital status, and race, planned pregnancy was independently associated with lower years of education (odds ratio: 1.82; 95% confidence interval: 1.02–3.23). Although this finding may be related to these adolescents having less access to information and health services, another possible explanation is that they have a greater desire to have children during adolescence. Keywords: adolescent pregnancy, planned pregnancy, Brazil, low-income population, women
Published: 2017

4. Global injury morbidity and mortality from 1990 to 2017: results from the Global Burden of Disease Study 2017

Author: James, SL, Castle, CD, Dingels, ZV, Fox, JT, Hamilton, EB, Liu, Z, S Roberts, NL, Sylte, DO, Henry, NJ, LeGrand, KE, Abdelalim, A, Abdoli, A, Abdollahpour, I, Abdulkader, RS, Abedi, A, Abosetugn, AE, Abushouk, AI, Adebayo, OM, Agudelo-Botero, M, Ahmad, T, Ahmed, R, Ahmed, MB, Eddine Aichour, MT, Alahdab, F, Alamene, GM, Alanezi, FM, Alebel, A, Alema, NM, Alghnam, SA, Al-Hajj, S, Ali, BA, Ali, S, Alikhani, M, Alinia, C, Alipour, V, Aljunid, SM, Almasi-Hashiani, A, Almasri, NA, Altirkawi, K, Abdeldayem Amer, YS, Amini, S, Loreche Amit, AM, Andrei, CL, Ansari-Moghaddam, A, T Antonio, CA, Yaw Appiah, SC, Arabloo, J, Arab-Zozani, M, Arefi, Z, Aremu, O, Ariani, F, Arora, A, Asaad, M, Asghari, B, Awoke, N, Ayala Quintanilla, BP, Ayano, G, Ayanore, MA, Azari, S, Azarian, G, Badawi, A, Badiye, AD, Bagli, E, Baig, AA, Bairwa, M, Bakhtiari, A, Balachandran, A, Banach, M, Banerjee, SK, Banik, PC, Banstola, A, Barker-Collo, SL, Bärnighausen, TW, Barrero, LH, Barzegar, A, Bayati, M, Baye, BA, Bedi, N, Behzadifar, M, Bekuma, TT, Belete, H, Benjet, C, Bennett, DA, Bensenor, IM, Berhe, K, Bhardwaj, P, Bhat, AG, Bhattacharyya, K, Bibi, S, Bijani, A, Bin Sayeed, MS, Borges, G, Borzì, AM, Boufous, S, Brazinova, A, Briko, NI, Budhathoki, SS, Car, J, Cárdenas, R, Carvalho, F, Castaldelli-Maia, JM, Castañeda-Orjuela, CA, Castelpietra, G, Catalá-López, F, Cerin, E, Chandan, JS, Chanie, WF, Chattu, SK, Chattu, VK, Chatziralli, I, Chaudhary, N, Cho, DY, Kabir Chowdhury, MA, Chu, D-T, Colquhoun, SM, Constantin, M-M, Costa, VM, Damiani, G, Daryani, A, Dávila-Cervantes, CA, Demeke, FM, Demis, AB, Demoz, GT, Demsie, DG, Derakhshani, A, Deribe, K, Desai, R, Nasab, MD, da Silva, DD, Dibaji Forooshani, ZS, Doyle, KE, Driscoll, TR, Dubljanin, E, Adema, BD, Eagan, AW, Eftekhari, A, Ehsani-Chimeh, E, Sayed Zaki, ME, Elemineh, DA, El-Jaafary, SI, El-Khatib, Z, Ellingsen, CL, Emamian, MH, Endalew, DA, Eskandarieh, S, Faris, PS, Faro, A, Farzadfar, F, Fatahi, Y, Fekadu, W, Ferede, TY, Fereshtehnejad, S-M, Fernandes, E, Ferrara, P, Feyissa, GT, Filip, I, Fischer, F, Folayan, MO, Foroutan, M, Francis, JM, Franklin, RC, Fukumoto, T, Geberemariyam, BS, Gebre, AK, Gebremedhin, KB, Gebremeskel, GG, Gebremichael, B, Gedefaw, GA, Geta, B, Ghafourifard, M, Ghamari, F, Ghashghaee, A, Gholamian, A, Gill, TK, Goulart, AC, Grada, A, Grivna, M, Mohialdeen Gubari, MI, Guimarães, RA, Guo, Y, Gupta, G, Haagsma, JA, Hafezi-Nejad, N, Bidgoli, HH, Hall, BJ, Hamadeh, RR, Hamidi, S, Haro, JM, Hasan, MM, Hasanzadeh, A, Hassanipour, S, Hassankhani, H, Hassen, HY, Havmoeller, R, Hayat, K, Hendrie, D, Heydarpour, F, Híjar, M, Ho, HC, Hoang, CL, Hole, MK, Holla, R, Hossain, N, Hosseinzadeh, M, Hostiuc, S, Hu, G, Ibitoye, SE, Ilesanmi, OS, Ilic, I, Ilic, MD, Inbaraj, LR, Indriasih, E, Naghibi Irvani, SS, Shariful Islam, SM, Islam, MM, Ivers, RQ, Jacobsen, KH, Jahani, MA, Jahanmehr, N, Jakovljevic, M, Jalilian, F, Jayaraman, S, Jayatilleke, AU, Jha, RP, John-Akinola, YO, Jonas, JB, Joseph, N, Joukar, F, Jozwiak, JJ, Jungari, SB, Jürisson, M, Kabir, A, Kadel, R, Kahsay, A, Kalankesh, LR, Kalhor, R, Kamil, TA, Kanchan, T, Kapoor, N, Karami, M, Kasaeian, A, Kassaye, HG, Kavetskyy, T, Kebede, HK, Keiyoro, PN, Kelbore, AG, Kelkay, B, Khader, YS, Khafaie, MA, Khalid, N, Khalil, IA, Khalilov, R, Khammarnia, M, Khan, EA, Khan, M, Khanna, T, Khazaie, H, Shadmani, FK, Khundkar, R, Kiirithio, DN, Kim, Y-E, Kim, D, Kim, YJ, Kisa, A, Kisa, S, Komaki, H, M Kondlahalli, SK, Korshunov, VA, Koyanagi, A, G Kraemer, MU, Krishan, K, Bicer, BK, Kugbey, N, Kumar, V, Kumar, N, Kumar, GA, Kumar, M, Kumaresh, G, Kurmi, OP, Kuti, O, Vecchia, CL, Lami, FH, Lamichhane, P, Lang, JJ, Lansingh, VC, Laryea, DO, Lasrado, S, Latifi, A, Lauriola, P, Leasher, JL, Huey Lee, SW, Lenjebo, TL, Levi, M, Li, S, Linn, S, Liu, X, Lopez, AD, Lotufo, PA, Lunevicius, R, Lyons, RA, Madadin, M, El Razek, MMA, Mahotra, NB, Majdan, M, Majeed, A, Malagon-Rojas, JN, Maled, V, Malekzadeh, R, Malta, DC, Manafi, N, Manafi, A, Manda, A-L, Manjunatha, N, Mansour-Ghanaei, F, Mansouri, B, Mansournia, MA, Maravilla, JC, March, LM, Mason-Jones, AJ, Masoumi, SZ, Massenburg, BB, Maulik, PK, Meles, GG, Melese, A, Melketsedik, ZA, N Memiah, PT, Mendoza, W, Menezes, RG, Mengesha, MB, Mengesha, MM, Meretoja, TJ, Meretoja, A, Merie, HE, Mestrovic, T, Miazgowski, B, Miazgowski, T, Miller, TR, Mini, GK, Mirica, A, Mirrakhimov, EM, Mirzaei-Alavijeh, M, Mithra, P, Moazen, B, Moghadaszadeh, M, Mohamadi, E, Mohammad, Y, Mohammad, KA, Darwesh, AM, Gholi Mezerji, NM, Mohammadian-Hafshejani, A, Mohammadoo-Khorasani, M, Mohammadpourhodki, R, Mohammed, S, Mohammed, JA, Mohebi, F, Molokhia, M, Monasta, L, Moodley, Y, Moosazadeh, M, Moradi, M, Moradi, G, Moradi-Lakeh, M, Moradpour, F, Morawska, L, Velásquez, IM, Morisaki, N, Morrison, SD, Mossie, TB, Muluneh, AG, Murthy, S, Musa, KI, Mustafa, G, Nabhan, AF, Nagarajan, AJ, Naik, G, Naimzada, MD, Najafi, F, Nangia, V, Nascimento, BR, Naserbakht, M, Nayak, V, Ndwandwe, DE, Negoi, I, Ngunjiri, JW, Nguyen, CT, Thi Nguyen, HL, Nikbakhsh, R, Anggraini Ningrum, DN, Nnaji, CA, Nyasulu, PS, Ogbo, FA, Oghenetega, OB, Oh, I-H, Okunga, EW, Olagunju, AT, Olagunju, TO, Bali, AO, Onwujekwe, OE, Asante, KO, Orpana, HM, Ota, E, Otstavnov, N, Otstavnov, SS, A, MP, Padubidri, JR, Pakhale, S, Pakshir, K, Panda-Jonas, S, Park, E-K, Patel, SK, Pathak, A, Pati, S, Patton, GC, Paulos, K, Peden, AE, Filipino Pepito, VC, Pereira, J, Pham, HQ, Phillips, MR, Pinheiro, M, Polibin, RV, Polinder, S, Poustchi, H, Prakash, S, Angga Pribadi, DR, Puri, P, Syed, ZQ, Rabiee, M, Rabiee, N, Radfar, A, Rafay, A, Rafiee, A, Rafiei, A, Rahim, F, Rahimi, S, Rahimi-Movaghar, V, Rahman, MA, Rajabpour-Sanati, A, Rajati, F, Rakovac, I, Ranganathan, K, Rao, SJ, Rashedi, V, Rastogi, P, Rathi, P, Rawaf, S, Rawal, L, Rawassizadeh, R, Renjith, V, N Renzaho, AM, Resnikoff, S, Rezapour, A, Ribeiro, AI, Rickard, J, Rios González, CM, Ronfani, L, Roshandel, G, Saad, AM, Sabde, YD, Sabour, S, Saddik, B, Safari, S, Safari-Faramani, R, Safarpour, H, Safdarian, M, Sajadi, SM, Salamati, P, Salehi, F, Zahabi, SS, Rashad Salem, MR, Salem, H, Salman, O, Salz, I, Samy, AM, Sanabria, J, Riera, LS, Santric Milicevic, MM, Sarker, AR, Sarveazad, A, Sathian, B, Sawhney, M, Sawyer, SM, Saxena, S, Sayyah, M, Schwebel, DC, Seedat, S, Senthilkumaran, S, Sepanlou, SG, Seyedmousavi, S, Sha, F, Shaahmadi, F, Shahabi, S, Shaikh, MA, Shams-Beyranvand, M, Shamsizadeh, M, Sharif-Alhoseini, M, Sharifi, H, Sheikh, A, Shigematsu, M, Shin, JI, Shiri, R, Siabani, S, Sigfusdottir, ID, Singh, PK, Singh, JA, Sinha, DN, Smarandache, C-G, R Smith, EU, Soheili, A, Soleymani, B, Soltanian, AR, Soriano, JB, Sorrie, MB, Soyiri, IN, Stein, DJ, Stokes, MA, Sufiyan, MB, Rasul Suleria, HA, Sykes, BL, Tabarés-Seisdedos, R, Tabb, KM, Taddele, BW, Tadesse, DB, Tamiru, AT, Tarigan, IU, Tefera, YM, Tehrani-Banihashemi, A, Tekle, MG, Tekulu, GH, Tesema, AK, Tesfay, BE, Thapar, R, Tilahune, AB, Tlaye, KG, Tohidinik, HR, Topor-Madry, R, Tran, BX, Tran, KB, Tripathy, JP, Tsai, AC, Car, LT, Ullah, S, Ullah, I, Umar, M, Unnikrishnan, B, Upadhyay, E, Uthman, OA, Valdez, PR, Vasankari, TJ, Venketasubramanian, N, Violante, FS, Vlassov, V, Waheed, Y, Weldesamuel, GT, Werdecker, A, Wiangkham, T, Wolde, HF, Woldeyes, DH, Wondafrash, DZ, Wondmeneh, TG, Wondmieneh, AB, Wu, A-M, Yadav, R, Yadollahpour, A, Yano, Y, Yaya, S, Yazdi-Feyzabadi, V, Yip, P, Yisma, E, Yonemoto, N, Yoon, S-J, Youm, Y, Younis, MZ, Yousefi, Z, Yu, Y, Yu, C, Yusefzadeh, H, Moghadam, TZ, Zaidi, Z, Zaman, SB, Zamani, M, Zamanian, M, Zandian, H, Zarei, A, Zare, F, Zhang, Z-J, Zhang, Y, Zodpey, S, Dandona, L, Dandona, R, Degenhardt, L, Dharmaratne, SD, Hay, SI, Mokdad, AH, Reiner, RC, Sartorius, B, and Vos, T
Subjects: Life Expectancy, Incidence, burden of disease, descriptive epidemiology, global, Humans, Wounds and Injuries, Public Health, Quality-Adjusted Life Years, Morbidity, Global Health, 1106 Human Movement and Sports Sciences, 1117 Public Health and Health Services, 1701 Psychology, Global Burden of Disease
Abstract: BACKGROUND: Past research in population health trends has shown that injuries form a substantial burden of population health loss. Regular updates to injury burden assessments are critical. We report Global Burden of Disease (GBD) 2017 Study estimates on morbidity and mortality for all injuries.; METHODS: We reviewed results for injuries from the GBD 2017 study. GBD 2017 measured injury-specific mortality and years of life lost (YLLs) using the Cause of Death Ensemble model. To measure non-fatal injuries, GBD 2017 modelled injury-specific incidence and converted this to prevalence and years lived with disability (YLDs). YLLs and YLDs were summed to calculate disability-adjusted life years (DALYs).; FINDINGS: In 1990, there were 4 260 493 (4 085 700 to 4 396 138) injury deaths, which increased to 4 484 722 (4 332 010 to 4 585 554) deaths in 2017, while age-standardised mortality decreased from 1079 (1073 to 1086) to 738 (730 to 745) per 100000. In 1990, there were 354064302 (95% uncertainty interval: 338174876 to 371 610 802) new cases of injury globally, which increased to 520 710 288 (493 430 247 to 547 988 635) new cases in 2017. During this time, age-standardised incidence decreased non-significantly from 6824 (6534 to 7147) to 6763 (6412 to 7118) per 100000. Between 1990 and 2017, age-standardised DALYs decreased from 4947 (4655 to 5233) per 100000 to 3267 (3058 to 3505).; INTERPRETATION: Injuries are an important cause of health loss globally, though mortality has declined between 1990 and 2017. Future research in injury burden should focus on prevention in high-burden populations, improving data collection and ensuring access to medical care. © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ.
Published: 2020

5. Burden of injury along the development spectrum: associations between the Socio-demographic Index and disability-adjusted life year estimates from the Global Burden of Disease Study 2017

Author: Haagsma, JA, James, SL, Castle, CD, Dingels, Z, Fox, JT, Hamilton, EB, Liu, Z, Lucchesi, LR, Roberts, NLS, Sylte, DO, Adebayo, OM, Ahmadi, A, Ahmed, MB, Aichour, MTE, Alahdab, F, Alghnam, SA, Aljunid, SM, Al-Raddadi, RM, Alsharif, U, Altirkawi, K, Anjomshoa, M, Antonio, CAT, Appiah, SCY, Aremu, O, Arora, A, Asayesh, H, Assadi, R, Awasthi, A, Ayala Quintanilla, BP, Balalla, S, Banstola, A, Barker-Collo, SL, Baernighausen, TW, Bazargan-Hejazi, S, Bedi, N, Behzadifar, M, Benjet, C, Bennett, DA, Bensenor, IM, Bhaumik, S, Bhutta, ZA, Bijani, A, Borges, G, Borschmann, R, Bose, D, Boufous, S, Brazinova, A, Rincon, JCC, Cardenas, R, Carrero, JJ, Carvalho, F, Castaneda-Orjuela, CA, Catala-Lopez, F, Choi, J-YJ, Christopher, DJ, Crowe, CS, Dalal, K, Daryani, A, Davitoiu, DV, Degenhardt, L, De Leo, D, De Neve, J-W, Deribe, K, Dessie, GA, deVeber, GA, Dharmaratne, SD, Linh, PD, Dolan, KA, Driscoll, TR, Dubey, M, El-Khatib, Z, Ellingsen, CL, Zaki, MES, Endries, AY, Eskandarieh, S, Faro, A, Fereshtehnejad, S-M, Fernandes, E, Filip, I, Fischer, F, Franklin, RC, Fukumoto, T, Gezae, KE, Gill, TK, Goulart, AC, Grada, A, Guo, Y, Gupta, R, Bidgoli, HH, Haj-Mirzaian, A, Hamadeh, RR, Hamidi, S, Maria Haro, J, Hassankhani, H, Hassen, HY, Havmoeller, R, Hendrie, D, Henok, A, Hijar, M, Hole, MK, Rad, EH, Hossain, N, Hostiuc, S, Hu, G, Igumbor, EU, Ilesanmi, OS, Irvani, SSN, Islam, SMS, Ivers, RQ, Jacobsen, KH, Jahanmehr, N, Jakovljevic, M, Jayatilleke, AU, Jha, RP, Jonas, JB, Shushtari, ZJ, Jozwiak, JJ, Jurisson, M, Kabir, A, Kalani, R, Kasaeian, A, Kelbore, AG, Kengne, AP, Khader, YS, Khafaie, MA, Khalid, N, Khan, EA, Khoja, AT, Kiadaliri, AA, Kim, Y-E, Kim, D, Kisa, A, Koyanagi, A, Defo, BK, Bicer, BK, Kumar, M, Lalloo, R, Lam, H, Lami, FH, Lansingh, VC, Leasher, JL, Li, S, Linn, S, Lunevicius, R, Machado, FR, Abd El Razek, HM, Abd El Razek, MM, Mahotra, NB, Majdan, M, Majeed, A, Malekzadeh, R, Malik, MA, Malta, DC, Manda, A-L, Mansournia, MA, Massenburg, BB, Maulik, PK, Meheretu, HAA, Mehndiratta, MM, Melese, A, Mendoza, W, Mengesha, MM, Meretoja, TJ, Meretoja, A, Mestrovic, T, Miazgowski, T, Miller, TR, Mini, GK, Mirrakhimov, EM, Moazen, B, Mezerji, NMG, Mohammadibakhsh, R, Mohammed, S, Molokhia, M, Monasta, L, Mondello, S, Montero-Zamora, PA, Moodley, Y, Moosazadeh, M, Moradi, G, Moradi-Lakeh, M, Morawska, L, Moreno Velasquez, I, Morrison, SD, Moschos, MM, Mousavi, SM, Murthy, S, Musa, KI, Naik, G, Najafi, F, Nangia, V, Nascimento, BR, Ndwandwe, DE, Negoi, I, Trang, HN, Son, HN, Long, HN, Huong, LTN, Ningrum, DNA, Nirayo, YL, Ofori-Asenso, R, Ogbo, FA, Oh, I-H, Oladimeji, O, Olagunju, AT, Olagunju, TO, Olivares, PR, Orpana, HM, Otstavnov, SS, Mahesh, PA, Pakhale, S, Park, E-K, Patton, GC, Pesudovs, K, Phillips, MR, Polinder, S, Prakash, S, Radfar, A, Rafay, A, Rafiei, A, Rahimi, S, Rahimi-Movaghar, V, Rahman, MA, Rai, RK, Ramezanzadeh, K, Rawaf, S, Rawaf, DL, Renzaho, AMN, Resnikoff, S, Rezaeian, S, Roever, L, Ronfani, L, Roshandel, G, Sabde, YD, Saddik, B, Salamati, P, Salimi, Y, Salz, I, Samy, AM, Sanabria, J, Riera, LS, Milicevic, MMS, Satpathy, M, Sawhney, M, Sawyer, SM, Saxena, S, Saylan, M, Schneider, IJC, Schwebel, DC, Seedat, S, Sepanlou, SG, Shaikh, MA, Shams-Beyranvand, M, Shamsizadeh, M, Sharif-Alhoseini, M, Sheikh, A, Shen, J, Shigematsu, M, Shiri, R, Shiue, I, Silva, JP, Singh, JA, Sinha, DN, Soares Filho, AM, Soriano, JB, Soshnikov, S, Soyiri, IN, Starodubov, V, Stein, DJ, Stokes, MA, Sufiyan, MB, Sunshine, JE, Sykes, BL, Tabares-Seisdedos, R, Tabb, KM, Tehrani-Banihashemi, A, Tessema, GA, Thakur, JS, Khanh, BT, Bach, XT, Car, LT, Uthman, OA, Uzochukwu, BSC, Valdez, PR, Varavikova, E, Nogales Vasconcelos, AM, Venketasubramanian, N, Violante, FS, Vlassov, V, Waheed, Y, Wang, Y-P, Wijeratne, T, Winkler, AS, Yadav, P, Yano, Y, Yenesew, MA, Yip, P, Yisma, E, Yonemoto, N, Younis, MZ, Yu, C, Zafar, S, Zaidi, Z, Bin Zaman, S, Zamani, M, Zhao, Y, Zodpey, S, Hay, S, Lopez, AD, Mokdad, AH, Vos, T, Haagsma, JA, James, SL, Castle, CD, Dingels, Z, Fox, JT, Hamilton, EB, Liu, Z, Lucchesi, LR, Roberts, NLS, Sylte, DO, Adebayo, OM, Ahmadi, A, Ahmed, MB, Aichour, MTE, Alahdab, F, Alghnam, SA, Aljunid, SM, Al-Raddadi, RM, Alsharif, U, Altirkawi, K, Anjomshoa, M, Antonio, CAT, Appiah, SCY, Aremu, O, Arora, A, Asayesh, H, Assadi, R, Awasthi, A, Ayala Quintanilla, BP, Balalla, S, Banstola, A, Barker-Collo, SL, Baernighausen, TW, Bazargan-Hejazi, S, Bedi, N, Behzadifar, M, Benjet, C, Bennett, DA, Bensenor, IM, Bhaumik, S, Bhutta, ZA, Bijani, A, Borges, G, Borschmann, R, Bose, D, Boufous, S, Brazinova, A, Rincon, JCC, Cardenas, R, Carrero, JJ, Carvalho, F, Castaneda-Orjuela, CA, Catala-Lopez, F, Choi, J-YJ, Christopher, DJ, Crowe, CS, Dalal, K, Daryani, A, Davitoiu, DV, Degenhardt, L, De Leo, D, De Neve, J-W, Deribe, K, Dessie, GA, deVeber, GA, Dharmaratne, SD, Linh, PD, Dolan, KA, Driscoll, TR, Dubey, M, El-Khatib, Z, Ellingsen, CL, Zaki, MES, Endries, AY, Eskandarieh, S, Faro, A, Fereshtehnejad, S-M, Fernandes, E, Filip, I, Fischer, F, Franklin, RC, Fukumoto, T, Gezae, KE, Gill, TK, Goulart, AC, Grada, A, Guo, Y, Gupta, R, Bidgoli, HH, Haj-Mirzaian, A, Hamadeh, RR, Hamidi, S, Maria Haro, J, Hassankhani, H, Hassen, HY, Havmoeller, R, Hendrie, D, Henok, A, Hijar, M, Hole, MK, Rad, EH, Hossain, N, Hostiuc, S, Hu, G, Igumbor, EU, Ilesanmi, OS, Irvani, SSN, Islam, SMS, Ivers, RQ, Jacobsen, KH, Jahanmehr, N, Jakovljevic, M, Jayatilleke, AU, Jha, RP, Jonas, JB, Shushtari, ZJ, Jozwiak, JJ, Jurisson, M, Kabir, A, Kalani, R, Kasaeian, A, Kelbore, AG, Kengne, AP, Khader, YS, Khafaie, MA, Khalid, N, Khan, EA, Khoja, AT, Kiadaliri, AA, Kim, Y-E, Kim, D, Kisa, A, Koyanagi, A, Defo, BK, Bicer, BK, Kumar, M, Lalloo, R, Lam, H, Lami, FH, Lansingh, VC, Leasher, JL, Li, S, Linn, S, Lunevicius, R, Machado, FR, Abd El Razek, HM, Abd El Razek, MM, Mahotra, NB, Majdan, M, Majeed, A, Malekzadeh, R, Malik, MA, Malta, DC, Manda, A-L, Mansournia, MA, Massenburg, BB, Maulik, PK, Meheretu, HAA, Mehndiratta, MM, Melese, A, Mendoza, W, Mengesha, MM, Meretoja, TJ, Meretoja, A, Mestrovic, T, Miazgowski, T, Miller, TR, Mini, GK, Mirrakhimov, EM, Moazen, B, Mezerji, NMG, Mohammadibakhsh, R, Mohammed, S, Molokhia, M, Monasta, L, Mondello, S, Montero-Zamora, PA, Moodley, Y, Moosazadeh, M, Moradi, G, Moradi-Lakeh, M, Morawska, L, Moreno Velasquez, I, Morrison, SD, Moschos, MM, Mousavi, SM, Murthy, S, Musa, KI, Naik, G, Najafi, F, Nangia, V, Nascimento, BR, Ndwandwe, DE, Negoi, I, Trang, HN, Son, HN, Long, HN, Huong, LTN, Ningrum, DNA, Nirayo, YL, Ofori-Asenso, R, Ogbo, FA, Oh, I-H, Oladimeji, O, Olagunju, AT, Olagunju, TO, Olivares, PR, Orpana, HM, Otstavnov, SS, Mahesh, PA, Pakhale, S, Park, E-K, Patton, GC, Pesudovs, K, Phillips, MR, Polinder, S, Prakash, S, Radfar, A, Rafay, A, Rafiei, A, Rahimi, S, Rahimi-Movaghar, V, Rahman, MA, Rai, RK, Ramezanzadeh, K, Rawaf, S, Rawaf, DL, Renzaho, AMN, Resnikoff, S, Rezaeian, S, Roever, L, Ronfani, L, Roshandel, G, Sabde, YD, Saddik, B, Salamati, P, Salimi, Y, Salz, I, Samy, AM, Sanabria, J, Riera, LS, Milicevic, MMS, Satpathy, M, Sawhney, M, Sawyer, SM, Saxena, S, Saylan, M, Schneider, IJC, Schwebel, DC, Seedat, S, Sepanlou, SG, Shaikh, MA, Shams-Beyranvand, M, Shamsizadeh, M, Sharif-Alhoseini, M, Sheikh, A, Shen, J, Shigematsu, M, Shiri, R, Shiue, I, Silva, JP, Singh, JA, Sinha, DN, Soares Filho, AM, Soriano, JB, Soshnikov, S, Soyiri, IN, Starodubov, V, Stein, DJ, Stokes, MA, Sufiyan, MB, Sunshine, JE, Sykes, BL, Tabares-Seisdedos, R, Tabb, KM, Tehrani-Banihashemi, A, Tessema, GA, Thakur, JS, Khanh, BT, Bach, XT, Car, LT, Uthman, OA, Uzochukwu, BSC, Valdez, PR, Varavikova, E, Nogales Vasconcelos, AM, Venketasubramanian, N, Violante, FS, Vlassov, V, Waheed, Y, Wang, Y-P, Wijeratne, T, Winkler, AS, Yadav, P, Yano, Y, Yenesew, MA, Yip, P, Yisma, E, Yonemoto, N, Younis, MZ, Yu, C, Zafar, S, Zaidi, Z, Bin Zaman, S, Zamani, M, Zhao, Y, Zodpey, S, Hay, S, Lopez, AD, Mokdad, AH, and Vos, T
Abstract: BACKGROUND: The epidemiological transition of non-communicable diseases replacing infectious diseases as the main contributors to disease burden has been well documented in global health literature. Less focus, however, has been given to the relationship between sociodemographic changes and injury. The aim of this study was to examine the association between disability-adjusted life years (DALYs) from injury for 195 countries and territories at different levels along the development spectrum between 1990 and 2017 based on the Global Burden of Disease (GBD) 2017 estimates. METHODS: Injury mortality was estimated using the GBD mortality database, corrections for garbage coding and CODEm-the cause of death ensemble modelling tool. Morbidity estimation was based on surveys and inpatient and outpatient data sets for 30 cause-of-injury with 47 nature-of-injury categories each. The Socio-demographic Index (SDI) is a composite indicator that includes lagged income per capita, average educational attainment over age 15 years and total fertility rate. RESULTS: For many causes of injury, age-standardised DALY rates declined with increasing SDI, although road injury, interpersonal violence and self-harm did not follow this pattern. Particularly for self-harm opposing patterns were observed in regions with similar SDI levels. For road injuries, this effect was less pronounced. CONCLUSIONS: The overall global pattern is that of declining injury burden with increasing SDI. However, not all injuries follow this pattern, which suggests multiple underlying mechanisms influencing injury DALYs. There is a need for a detailed understanding of these patterns to help to inform national and global efforts to address injury-related health outcomes across the development spectrum.
Published: 2020

6. Estimating global injuries morbidity and mortality: methods and data used in the Global Burden of Disease 2017 study.

Author: James, SL, Castle, CD, Dingels, ZV, Fox, JT, Hamilton, EB, Liu, Z, Roberts, NLS, Sylte, DO, Bertolacci, GJ, Cunningham, M, Henry, NJ, Catalá-López, F, Cerin, E, Chandan, JS, Chapman, JR, Chattu, VK, Chattu, SK, Chatziralli, I, Chaudhary, N, Cho, DY, Choi, J-YJ, LeGrand, KE, Kabir Chowdhury, MA, Christopher, DJ, Chu, D-T, Cicuttini, FM, Coelho, JM, Costa, VM, Dahlawi, SMA, Daryani, A, Dávila-Cervantes, CA, Leo, DD, Abdelalim, A, Demeke, FM, Demoz, GT, Demsie, DG, Deribe, K, Desai, R, Nasab, MD, Silva, DDD, Dibaji Forooshani, ZS, Do, HT, Doyle, KE, Abdollahpour, I, Driscoll, TR, Dubljanin, E, Adema, BD, Eagan, AW, Elemineh, DA, El-Jaafary, SI, El-Khatib, Z, Ellingsen, CL, Zaki, MES, Eskandarieh, S, Abdulkader, RS, Eyawo, O, Faris, PS, Faro, A, Farzadfar, F, Fereshtehnejad, S-M, Fernandes, E, Ferrara, P, Fischer, F, Folayan, MO, Fomenkov, AA, Abedi, A, Foroutan, M, Francis, JM, Franklin, RC, Fukumoto, T, Geberemariyam, BS, Gebremariam, H, Gebremedhin, KB, Gebremeskel, LG, Gebremeskel, GG, Gebremichael, B, Abegaz, KH, Gedefaw, GA, Geta, B, Getenet, AB, Ghafourifard, M, Ghamari, F, Gheshlagh, RG, Gholamian, A, Gilani, SA, Gill, TK, Goudarzian, AH, Abosetugn, AE, Goulart, AC, Grada, A, Grivna, M, Guimarães, RA, Guo, Y, Gupta, G, Haagsma, JA, Hall, BJ, Hamadeh, RR, Hamidi, S, Abushouk, AI, Handiso, DW, Haro, JM, Hasanzadeh, A, Hassan, S, Hassanipour, S, Hassankhani, H, Hassen, HY, Havmoeller, R, Hendrie, D, Heydarpour, F, Adebayo, OM, Híjar, M, Ho, HC, Hoang, CL, Hole, MK, Holla, R, Hossain, N, Hosseinzadeh, M, Hostiuc, S, Hu, G, Ibitoye, SE, Adsuar, JC, Ilesanmi, OS, Inbaraj, LR, Naghibi Irvani, SS, Mofizul Islam, M, Shariful Islam, SM, Ivers, RQ, Jahani, MA, Jakovljevic, M, Jalilian, F, Jayaraman, S, Advani, SM, Jayatilleke, AU, Jha, RP, John-Akinola, YO, Jonas, JB, Jones, KM, Joseph, N, Joukar, F, Jozwiak, JJ, Jungari, SB, Jürisson, M, Agudelo-Botero, M, Kabir, A, Kahsay, A, Kalankesh, LR, Kalhor, R, Kamil, TA, Kanchan, T, Kapoor, N, Karami, M, Kasaeian, A, Kassaye, HG, Ahmad, T, Kavetskyy, T, Kayode, GA, Keiyoro, PN, Kelbore, AG, Khader, YS, Khafaie, MA, Khalid, N, Khalil, IA, Khalilov, R, Khan, M, Ahmed, MB, Khan, EA, Khan, J, Khanna, T, Khazaei, S, Khazaie, H, Khundkar, R, Kiirithio, DN, Kim, Y-E, Kim, YJ, Kim, D, Ahmed, R, Kisa, S, Kisa, A, Komaki, H, Kondlahalli, SKM, Koolivand, A, Korshunov, VA, Koyanagi, A, Kraemer, MUG, Krishan, K, Defo, BK, Eddine Aichour, MT, Bicer, BK, Kugbey, N, Kumar, N, Kumar, M, Kumar, V, Kumaresh, G, Lami, FH, Lansingh, VC, Lasrado, S, Alahdab, F, Latifi, A, Lauriola, P, Vecchia, CL, Leasher, JL, Huey Lee, SW, Li, S, Liu, X, Lopez, AD, Lotufo, PA, Lyons, RA, Alanezi, FM, Machado, DB, Madadin, M, Abd El Razek, MM, Mahotra, NB, Majdan, M, Majeed, A, Maled, V, Malta, DC, Manafi, N, Manafi, A, Alema, NM, Manda, A-L, Manjunatha, N, Mansour-Ghanaei, F, Mansournia, MA, Maravilla, JC, Mason-Jones, AJ, Masoumi, SZ, Massenburg, BB, Maulik, PK, Mehndiratta, MM, Alemu, BW, Melketsedik, ZA, Memiah, PTN, Mendoza, W, Menezes, RG, Mengesha, MM, Meretoja, TJ, Meretoja, A, Merie, HE, Mestrovic, T, Miazgowski, B, Alghnam, SA, Miazgowski, T, Miller, TR, Mini, GK, Mirica, A, Mirrakhimov, EM, Mirzaei-Alavijeh, M, Mithra, P, Moazen, B, Moghadaszadeh, M, Mohamadi, E, Ali, BA, Mohammad, Y, Darwesh, AM, Mohammadian-Hafshejani, A, Mohammadpourhodki, R, Mohammed, S, Mohammed, JA, Mohebi, F, Mohseni Bandpei, MA, Molokhia, M, Monasta, L, Ali, S, Moodley, Y, Moradi, M, Moradi, G, Moradi-Lakeh, M, Moradzadeh, R, Morawska, L, Velásquez, IM, Morrison, SD, Mossie, TB, Muluneh, AG, Alinia, C, Musa, KI, Mustafa, G, Naderi, M, Nagarajan, AJ, Naik, G, Naimzada, MD, Najafi, F, Nangia, V, Nascimento, BR, Naserbakht, M, Alipour, V, Nayak, V, Nazari, J, Ndwandwe, DE, Negoi, I, Ngunjiri, JW, Nguyen, TH, Nguyen, CT, Nguyen, DN, Thi Nguyen, HL, Nikbakhsh, R, Aljunid, SM, Anggraini Ningrum, DN, Nnaji, CA, Ofori-Asenso, R, Ogbo, FA, Oghenetega, OB, Oh, I-H, Olagunju, AT, Olagunju, TO, Bali, AO, Onwujekwe, OE, Almasi-Hashiani, A, Orpana, HM, Ota, E, Otstavnov, N, Otstavnov, SS, P A, M, Padubidri, JR, Pakhale, S, Pakshir, K, Panda-Jonas, S, Park, E-K, Almasri, NA, Patel, SK, Pathak, A, Pati, S, Paulos, K, Peden, AE, Filipino Pepito, VC, Pereira, J, Phillips, MR, Polibin, RV, Polinder, S, Altirkawi, K, Pourmalek, F, Pourshams, A, Poustchi, H, Prakash, S, Angga Pribadi, DR, Puri, P, Syed, ZQ, Rabiee, N, Rabiee, M, Radfar, A, Abdeldayem Amer, YS, Rafay, A, Rafiee, A, Rafiei, A, Rahim, F, Rahimi, S, Rahman, MA, Rajabpour-Sanati, A, Rajati, F, Rakovac, I, Rao, SJ, Andrei, CL, Rashedi, V, Rastogi, P, Rathi, P, Rawaf, S, Rawal, L, Rawassizadeh, R, Renjith, V, Resnikoff, S, Rezapour, A, Ribeiro, AI, Ansari-Moghaddam, A, Rickard, J, Rios González, CM, Roever, L, Ronfani, L, Roshandel, G, Saddik, B, Safarpour, H, Safdarian, M, Mohammad Sajadi, S, Salamati, P, T Antonio, CA, Rashad Salem, MR, Salem, H, Salz, I, Samy, AM, Sanabria, J, Riera, LS, Santric Milicevic, MM, Sarker, AR, Sarveazad, A, Sathian, B, Anvari, D, Sawhney, M, Sayyah, M, Schwebel, DC, Seedat, S, Senthilkumaran, S, Seyedmousavi, S, Sha, F, Shaahmadi, F, Shahabi, S, Shaikh, MA, Yaw Appiah, SC, Shams-Beyranvand, M, Sheikh, A, Shigematsu, M, Shin, JI, Shiri, R, Siabani, S, Sigfusdottir, ID, Singh, JA, Singh, PK, Sinha, DN, Arabloo, J, Soheili, A, Soriano, JB, Sorrie, MB, Soyiri, IN, Stokes, MA, Sufiyan, MB, Sykes, BL, Tabarés-Seisdedos, R, Tabb, KM, Taddele, BW, Arab-Zozani, M, Tefera, YM, Tehrani-Banihashemi, A, Tekulu, GH, Tesema Tesema, AK, Tesfay, BE, Thapar, R, Titova, MV, Tlaye, KG, Tohidinik, HR, Topor-Madry, R, Arefi, Z, Tran, KB, Tran, BX, Tripathy, JP, Tsai, AC, Tsatsakis, A, Car, LT, Ullah, I, Ullah, S, Unnikrishnan, B, Upadhyay, E, Aremu, O, Uthman, OA, Valdez, PR, Vasankari, TJ, Veisani, Y, Venketasubramanian, N, Violante, FS, Vlassov, V, Waheed, Y, Wang, Y-P, Wiangkham, T, Ariani, F, Wolde, HF, Woldeyes, DH, Wondmeneh, TG, Wondmieneh, AB, Wu, A-M, Wyper, GMA, Yadav, R, Yadollahpour, A, Yano, Y, Yaya, S, Arora, A, Yazdi-Feyzabadi, V, Ye, P, Yip, P, Yisma, E, Yonemoto, N, Yoon, S-J, Youm, Y, Younis, MZ, Yousefi, Z, Yu, C, Asaad, M, Yu, Y, Moghadam, TZ, Zaidi, Z, Zaman, SB, Zamani, M, Zandian, H, Zarei, F, Zhang, Z-J, Zhang, Y, Ziapour, A, Ayala Quintanilla, BP, Zodpey, S, Dandona, R, Dharmaratne, SD, Hay, SI, Mokdad, AH, Pigott, DM, Reiner, RC, Vos, T, Ayano, G, Ayanore, MA, Azarian, G, Badawi, A, Badiye, AD, Baig, AA, Bairwa, M, Bakhtiari, A, Balachandran, A, Banach, M, Banerjee, SK, Banik, PC, Banstola, A, Barker-Collo, SL, Bärnighausen, TW, Barzegar, A, Bayati, M, Bazargan-Hejazi, S, Bedi, N, Behzadifar, M, Belete, H, Bennett, DA, Bensenor, IM, Berhe, K, Bhagavathula, AS, Bhardwaj, P, Bhat, AG, Bhattacharyya, K, Bhutta, ZA, Bibi, S, Bijani, A, Boloor, A, Borges, G, Borschmann, R, Borzì, AM, Boufous, S, Braithwaite, D, Briko, NI, Brugha, T, Budhathoki, SS, Car, J, Cárdenas, R, Carvalho, F, Castaldelli-Maia, JM, Castañeda-Orjuela, CA, Castelpietra, G, James, SL, Castle, CD, 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Abegaz, KH, Gedefaw, GA, Geta, B, Getenet, AB, Ghafourifard, M, Ghamari, F, Gheshlagh, RG, Gholamian, A, Gilani, SA, Gill, TK, Goudarzian, AH, Abosetugn, AE, Goulart, AC, Grada, A, Grivna, M, Guimarães, RA, Guo, Y, Gupta, G, Haagsma, JA, Hall, BJ, Hamadeh, RR, Hamidi, S, Abushouk, AI, Handiso, DW, Haro, JM, Hasanzadeh, A, Hassan, S, Hassanipour, S, Hassankhani, H, Hassen, HY, Havmoeller, R, Hendrie, D, Heydarpour, F, Adebayo, OM, Híjar, M, Ho, HC, Hoang, CL, Hole, MK, Holla, R, Hossain, N, Hosseinzadeh, M, Hostiuc, S, Hu, G, Ibitoye, SE, Adsuar, JC, Ilesanmi, OS, Inbaraj, LR, Naghibi Irvani, SS, Mofizul Islam, M, Shariful Islam, SM, Ivers, RQ, Jahani, MA, Jakovljevic, M, Jalilian, F, Jayaraman, S, Advani, SM, Jayatilleke, AU, Jha, RP, John-Akinola, YO, Jonas, JB, Jones, KM, Joseph, N, Joukar, F, Jozwiak, JJ, Jungari, SB, Jürisson, M, Agudelo-Botero, M, Kabir, A, Kahsay, A, Kalankesh, LR, Kalhor, R, Kamil, TA, Kanchan, T, Kapoor, N, Karami, M, Kasaeian, A, Kassaye, HG, Ahmad, T, Kavetskyy, T, Kayode, GA, Keiyoro, PN, Kelbore, AG, Khader, YS, Khafaie, MA, Khalid, N, Khalil, IA, Khalilov, R, Khan, M, Ahmed, MB, Khan, EA, Khan, J, Khanna, T, Khazaei, S, Khazaie, H, Khundkar, R, Kiirithio, DN, Kim, Y-E, Kim, YJ, Kim, D, Ahmed, R, Kisa, S, Kisa, A, Komaki, H, Kondlahalli, SKM, Koolivand, A, Korshunov, VA, Koyanagi, A, Kraemer, MUG, Krishan, K, Defo, BK, Eddine Aichour, MT, Bicer, BK, Kugbey, N, Kumar, N, Kumar, M, Kumar, V, Kumaresh, G, Lami, FH, Lansingh, VC, Lasrado, S, Alahdab, F, Latifi, A, Lauriola, P, Vecchia, CL, Leasher, JL, Huey Lee, SW, Li, S, Liu, X, Lopez, AD, Lotufo, PA, Lyons, RA, Alanezi, FM, Machado, DB, Madadin, M, Abd El Razek, MM, Mahotra, NB, Majdan, M, Majeed, A, Maled, V, Malta, DC, Manafi, N, Manafi, A, Alema, NM, Manda, A-L, Manjunatha, N, Mansour-Ghanaei, F, Mansournia, MA, Maravilla, JC, Mason-Jones, AJ, Masoumi, SZ, Massenburg, BB, Maulik, PK, Mehndiratta, MM, Alemu, BW, Melketsedik, ZA, Memiah, PTN, Mendoza, W, Menezes, RG, Mengesha, MM, Meretoja, TJ, Meretoja, A, Merie, HE, Mestrovic, T, Miazgowski, B, Alghnam, SA, Miazgowski, T, Miller, TR, Mini, GK, Mirica, A, Mirrakhimov, EM, Mirzaei-Alavijeh, M, Mithra, P, Moazen, B, Moghadaszadeh, M, Mohamadi, E, Ali, BA, Mohammad, Y, Darwesh, AM, Mohammadian-Hafshejani, A, Mohammadpourhodki, R, Mohammed, S, Mohammed, JA, Mohebi, F, Mohseni Bandpei, MA, Molokhia, M, Monasta, L, Ali, S, Moodley, Y, Moradi, M, Moradi, G, Moradi-Lakeh, M, Moradzadeh, R, Morawska, L, Velásquez, IM, Morrison, SD, Mossie, TB, Muluneh, AG, Alinia, C, Musa, KI, Mustafa, G, Naderi, M, Nagarajan, AJ, Naik, G, Naimzada, MD, Najafi, F, Nangia, V, Nascimento, BR, Naserbakht, M, Alipour, V, Nayak, V, Nazari, J, Ndwandwe, DE, Negoi, I, Ngunjiri, JW, Nguyen, TH, Nguyen, CT, Nguyen, DN, Thi Nguyen, HL, Nikbakhsh, R, Aljunid, SM, Anggraini Ningrum, DN, Nnaji, CA, Ofori-Asenso, R, Ogbo, FA, Oghenetega, OB, Oh, I-H, Olagunju, AT, Olagunju, TO, Bali, AO, Onwujekwe, OE, Almasi-Hashiani, A, Orpana, HM, Ota, E, Otstavnov, N, Otstavnov, SS, P A, M, Padubidri, JR, Pakhale, S, Pakshir, K, Panda-Jonas, S, Park, E-K, Almasri, NA, Patel, SK, Pathak, A, Pati, S, Paulos, K, Peden, AE, Filipino Pepito, VC, Pereira, J, Phillips, MR, Polibin, RV, Polinder, S, Altirkawi, K, Pourmalek, F, Pourshams, A, Poustchi, H, Prakash, S, Angga Pribadi, DR, Puri, P, Syed, ZQ, Rabiee, N, Rabiee, M, Radfar, A, Abdeldayem Amer, YS, Rafay, A, Rafiee, A, Rafiei, A, Rahim, F, Rahimi, S, Rahman, MA, Rajabpour-Sanati, A, Rajati, F, Rakovac, I, Rao, SJ, Andrei, CL, Rashedi, V, Rastogi, P, Rathi, P, Rawaf, S, Rawal, L, Rawassizadeh, R, Renjith, V, Resnikoff, S, Rezapour, A, Ribeiro, AI, Ansari-Moghaddam, A, Rickard, J, Rios González, CM, Roever, L, Ronfani, L, Roshandel, G, Saddik, B, Safarpour, H, Safdarian, M, Mohammad Sajadi, S, Salamati, P, T Antonio, CA, Rashad Salem, MR, Salem, H, Salz, I, Samy, AM, Sanabria, J, Riera, LS, Santric Milicevic, MM, Sarker, AR, Sarveazad, A, Sathian, B, Anvari, D, Sawhney, M, Sayyah, M, Schwebel, DC, Seedat, S, Senthilkumaran, S, Seyedmousavi, S, Sha, F, Shaahmadi, F, Shahabi, S, Shaikh, MA, Yaw Appiah, SC, Shams-Beyranvand, M, Sheikh, A, Shigematsu, M, Shin, JI, Shiri, R, Siabani, S, Sigfusdottir, ID, Singh, JA, Singh, PK, Sinha, DN, Arabloo, J, Soheili, A, Soriano, JB, Sorrie, MB, Soyiri, IN, Stokes, MA, Sufiyan, MB, Sykes, BL, Tabarés-Seisdedos, R, Tabb, KM, Taddele, BW, Arab-Zozani, M, Tefera, YM, Tehrani-Banihashemi, A, Tekulu, GH, Tesema Tesema, AK, Tesfay, BE, Thapar, R, Titova, MV, Tlaye, KG, Tohidinik, HR, Topor-Madry, R, Arefi, Z, Tran, KB, Tran, BX, Tripathy, JP, Tsai, AC, Tsatsakis, A, Car, LT, Ullah, I, Ullah, S, Unnikrishnan, B, Upadhyay, E, Aremu, O, Uthman, OA, Valdez, PR, Vasankari, TJ, Veisani, Y, Venketasubramanian, N, Violante, FS, Vlassov, V, Waheed, Y, Wang, Y-P, Wiangkham, T, Ariani, F, Wolde, HF, Woldeyes, DH, Wondmeneh, TG, Wondmieneh, AB, Wu, A-M, Wyper, GMA, Yadav, R, Yadollahpour, A, Yano, Y, Yaya, S, Arora, A, Yazdi-Feyzabadi, V, Ye, P, Yip, P, Yisma, E, Yonemoto, N, Yoon, S-J, Youm, Y, Younis, MZ, Yousefi, Z, Yu, C, Asaad, M, Yu, Y, Moghadam, TZ, Zaidi, Z, Zaman, SB, Zamani, M, Zandian, H, Zarei, F, Zhang, Z-J, Zhang, Y, Ziapour, A, Ayala Quintanilla, BP, Zodpey, S, Dandona, R, Dharmaratne, SD, Hay, SI, Mokdad, AH, Pigott, DM, Reiner, RC, Vos, T, Ayano, G, Ayanore, MA, Azarian, G, Badawi, A, Badiye, AD, Baig, AA, Bairwa, M, Bakhtiari, A, Balachandran, A, Banach, M, Banerjee, SK, Banik, PC, Banstola, A, Barker-Collo, SL, Bärnighausen, TW, Barzegar, A, Bayati, M, Bazargan-Hejazi, S, Bedi, N, Behzadifar, M, Belete, H, Bennett, DA, Bensenor, IM, Berhe, K, Bhagavathula, AS, Bhardwaj, P, Bhat, AG, Bhattacharyya, K, Bhutta, ZA, Bibi, S, Bijani, A, Boloor, A, Borges, G, Borschmann, R, Borzì, AM, Boufous, S, Braithwaite, D, Briko, NI, Brugha, T, Budhathoki, SS, Car, J, Cárdenas, R, Carvalho, F, Castaldelli-Maia, JM, Castañeda-Orjuela, CA, and Castelpietra, G
Abstract: BACKGROUND: While there is a long history of measuring death and disability from injuries, modern research methods must account for the wide spectrum of disability that can occur in an injury, and must provide estimates with sufficient demographic, geographical and temporal detail to be useful for policy makers. The Global Burden of Disease (GBD) 2017 study used methods to provide highly detailed estimates of global injury burden that meet these criteria. METHODS: In this study, we report and discuss the methods used in GBD 2017 for injury morbidity and mortality burden estimation. In summary, these methods included estimating cause-specific mortality for every cause of injury, and then estimating incidence for every cause of injury. Non-fatal disability for each cause is then calculated based on the probabilities of suffering from different types of bodily injury experienced. RESULTS: GBD 2017 produced morbidity and mortality estimates for 38 causes of injury. Estimates were produced in terms of incidence, prevalence, years lived with disability, cause-specific mortality, years of life lost and disability-adjusted life-years for a 28-year period for 22 age groups, 195 countries and both sexes. CONCLUSIONS: GBD 2017 demonstrated a complex and sophisticated series of analytical steps using the largest known database of morbidity and mortality data on injuries. GBD 2017 results should be used to help inform injury prevention policy making and resource allocation. We also identify important avenues for improving injury burden estimation in the future.
Published: 2020

7. Global, regional, national, and selected subnational levels of stillbirths, neonatal, infant, and under-5 mortality, 1980–2015: a systematic analysis for the Global Burden of Disease Study 2015

Author: Wang, H, Liddell, CA, Coates, MM, Mooney, MD, Levitz, CE, Schumacher, AE, Apfel, H, Iannarone, M, Phillips, B, Lofgren, KT, Sandar, L, Dorrington, RE, Rakovac, I, Jacobs, TA, Liang, X, Zhou, M, Zhu, J, Yang, G, Wang, Y, Liu, S, Li, Y, Ozgoren, AA, Abera, SF, Abubakar, I, Achoki, T, Adelekan, A, Ademi, Z, Alemu, ZA, Allen, PJ, AlMazroa, MA, Alvarez, E, Amankwaa, AA, Amare, AT, Ammar, W, Anwari, P, Cunningham, SA, Asad, MM, Assadi, R, Banerjee, A, Basu, S, Bedi, N, Bekele, T, Bell, ML, Bhutta, Z, Blore, JD, Basara, BB, Boufous, S, Breitborde, N, Bruce, NG, Bui, LN, Carapetis, JR, Cárdenas, R, Carpenter, DO, Caso, V, Castro, RE, Catalá-Lopéz, F, Cavlin, A, Che, X, Chiang, PP, Chowdhury, R, Christophi, CA, Chuang, TW, Cirillo, M, da Costa Leite, I, Courville, KJ, Dandona, L, Dandona, R, Davis, A, Dayama, A, Deribe, K, Dharmaratne, SD, Dherani, MK, Dilmen, U, Ding, EL, Edmond, KM, Ermakov, SP, Farzadfar, F, Fereshtehnejad, SM, Fijabi, DO, Foigt, N, Forouzanfar, MH, Garcia, AC, Geleijnse, JM, Gessner, BD, Goginashvili, K, Gona, P, Goto, A, Gouda, HN, Green, MA, Greenwell, KF, Gugnani, HC, Gupta, R, Hamadeh, RR, Hammami, M, Harb, HL, Hay, Simon, Hedayati, MT, Hosgood, HD, Hoy, DG, Idrisov, BT, Islami, F, Ismayilova, S, Jha, Vivekanand, Jiang, G, Jonas, JB, Juel, K, Kabagambe, EK, Kazi, DS, Kengne, AP, Kereselidze, M, Khader, YS, Khalifa, SE, Khang, YH, Kim, D, Kinfu, Y, Kinge, JM, Kokubo, Y, Kosen, S, Defo, BK, Kumar, GA, Kumar, K, Kumar, RB, Lai, T, Lan, Q, Larsson, A, Lee, JT, Leinsalu, M, Lim, SS, Lipshultz, SE, Logroscino, G, Lotufo, PA, Lunevicius, R, Lyons, RA, Ma, S, Mahdi, AA, Marzan, MB, Mashal, MT, Mazorodze, TT, McGrath, JJ, Memish, ZA, Mendoza, W, Mensah, GA, Meretoja, A, Miller, TR, Mills, EJ, Mohammad, KA, Mokdad, AH, Monasta, L, Montico, M, Moore, AR, Moschandreas, Joanna, Msemburi, WT, Mueller, UO, Muszynska, MM, Naghavi, M, Naidoo, KS, Narayan, KM, Nejjari, C, Ng, M, de Dieu Ngirabega, J, Nieuwenhuijsen, MJ, Nyakarahuka, L, Ohkubo, T, Omer, SB, Caicedo, AJ, Pillay-van Wyk, V, Pope, D, Pourmalek, F, Prabhakaran, D, Rahman, SU, Rana, SM, Reilly, RQ, Rojas-Rueda, D, Ronfani, L, Rushton, L, Saeedi, MY, Salomon, JA, Sampson, U, Santos, IS, Sawhney, M, Schmidt, JC, Shakh-Nazarova, M, She, J, Sheikhbahaei, S, Shibuya, K, Shin, HH, Shishani, K, Shiue, I, Sigfusdottir, ID, Singh, JA, Skirbekk, V, Sliwa, K, Soshnikov, SS, Sposato, LA, Stathopoulou, VK, Stroumpoulis, K, Tabb, KM, Talongwa, RT, Teixeira, CM, Terkawi, AS, Thomson, AJ, Thorne-Lyman, AL, Toyoshima, H, Dimbuene, ZT, Uwaliraye, P, Uzun, SB, Vasankari, TJ, Vasconcelos, AM, Vlassov, VV, Vollset, SE, Waller, S, Wan, X, Weichenthal, S, Weiderpass, E, Weintraub, RG, Westerman, R, Wilkinson, JD, Williams, HC, Yang, YC, Yentur, GK, Yip, P, Yonemoto, N, Younis, M, Yu, C, Jin, KY, El Sayed Zaki, M, Zhu, S, Vos, T, Lopez, AD, and Murray, CJ
Abstract: Remarkable financial and political efforts have been focused on the reduction of child mortality during the past few decades. Timely measurements of levels and trends in under-5 mortality are important to assess progress towards the Millennium Development Goal 4 (MDG 4) target of reduction of child mortality by two thirds from 1990 to 2015, and to identify models of success.We generated updated estimates of child mortality in early neonatal (age 0-6 days), late neonatal (7-28 days), postneonatal (29-364 days), childhood (1-4 years), and under-5 (0-4 years) age groups for 188 countries from 1970 to 2013, with more than 29,000 survey, census, vital registration, and sample registration datapoints. We used Gaussian process regression with adjustments for bias and non-sampling error to synthesise the data for under-5 mortality for each country, and a separate model to estimate mortality for more detailed age groups. We used explanatory mixed effects regression models to assess the association between under-5 mortality and income per person, maternal education, HIV child death rates, secular shifts, and other factors. To quantify the contribution of these different factors and birth numbers to the change in numbers of deaths in under-5 age groups from 1990 to 2013, we used Shapley decomposition. We used estimated rates of change between 2000 and 2013 to construct under-5 mortality rate scenarios out to 2030.We estimated that 6·3 million (95% UI 6·0-6·6) children under-5 died in 2013, a 64% reduction from 17·6 million (17·1-18·1) in 1970. In 2013, child mortality rates ranged from 152·5 per 1000 livebirths (130·6-177·4) in Guinea-Bissau to 2·3 (1·8-2·9) per 1000 in Singapore. The annualised rates of change from 1990 to 2013 ranged from -6·8% to 0·1%. 99 of 188 countries, including 43 of 48 countries in sub-Saharan Africa, had faster decreases in child mortality during 2000-13 than during 1990-2000. In 2013, neonatal deaths accounted for 41·6% of under-5 deaths compared with 37·4% in 1990. Compared with 1990, in 2013, rising numbers of births, especially in sub-Saharan Africa, led to 1·4 million more child deaths, and rising income per person and maternal education led to 0·9 million and 2·2 million fewer deaths, respectively. Changes in secular trends led to 4·2 million fewer deaths. Unexplained factors accounted for only -1% of the change in child deaths. In 30 developing countries, decreases since 2000 have been faster than predicted attributable to income, education, and secular shift alone.Only 27 developing countries are expected to achieve MDG 4. Decreases since 2000 in under-5 mortality rates are accelerating in many developing countries, especially in sub-Saharan Africa. The Millennium Declaration and increased development assistance for health might have been a factor in faster decreases in some developing countries. Without further accelerated progress, many countries in west and central Africa will still have high levels of under-5 mortality in 2030.Bill & Melinda Gates Foundation, US Agency for International Development.
Published: 2018

8. Intentional injuries in the Eastern Mediterranean Region, 1990-2015: findings from the Global Burden of Disease 2015 study

Author: Mokdad, AH, Moradi-Lakeh, M, Charara, R, El Bcheraoui, C, Khalil, I, Afshin, A, Kassebaum, NJ, Collison, M, Chew, A, Krohn, KJ, Daoud, F, Colombara, D, Graetz, N, Kutz, M, Wang, H, Abd-Allah, F, Abu-Raddad, LJ, Kiadaliri, AA, Ahmed, MB, Alam, K, Alghnam, S, Alizadeh-Navaei, R, Al-Raddadi, R, Altirkawi, KA, Anber, N, Anwari, P, Avila-Burgos, L, Awasthi, A, Barac, A, Barker-Collo, SL, Bedi, N, Bhutta, ZA, Borschmann, R, Boufous, S, Butt, ZA, Castaneda-Orjuela, CA, Dalal, K, Danawi, H, De Leo, D, Dharmaratne, SD, Djalalinia, S, Doyle, KE, Esteghamati, A, Faro, A, Farvid, MS, Fereshtehnejad, S-M, Fischer, F, Gebrehiwot, TT, Gutierrez, RA, Hafezi-Nejad, N, Hamadeh, RR, Hamidi, S, Haro, JM, Hendrie, D, Hu, G, Jonas, JB, Kasaeian, A, Keiyoro, PN, Khader, YS, Khan, EA, Khubchandani, J, Kopec, JA, Larson, HJ, Latif, AA, Leshargie, CT, Lunevicius, R, Abd El Razek, MM, Majeed, A, Malekzadeh, R, Memish, ZA, Meretoja, TJ, Miller, TR, Mohammed, S, Obermeyer, CM, Ogbo, FA, Phillips, MR, Pourmalek, F, Qorbani, M, Radfar, A, Rafay, A, Rahimi-Movaghar, A, Rahimi-Movaghar, V, Rai, RK, Rawaf, DL, Rawaf, S, Rezaei, S, Rezai, MS, Roshandel, G, Safdarian, M, Safiri, S, Salamati, P, Samy, AM, Sartorius, B, Seedat, S, Sepanlou, SG, Shaikh, MA, Sobaih, BHA, Tabb, KM, Tehrani-Banihashemi, A, Temsah, M-H, Terkawi, AS, RomanTopor-Madry, Ukwaja, KN, Uthman, OA, Yaseri, M, NaohiroYonemoto, Younis, MZ, Jumaan, AO, Vos, T, Hay, SI, Naghavi, M, Murray, CJL, Mokdad, AH, Moradi-Lakeh, M, Charara, R, El Bcheraoui, C, Khalil, I, Afshin, A, Kassebaum, NJ, Collison, M, Chew, A, Krohn, KJ, Daoud, F, Colombara, D, Graetz, N, Kutz, M, Wang, H, Abd-Allah, F, Abu-Raddad, LJ, Kiadaliri, AA, Ahmed, MB, Alam, K, Alghnam, S, Alizadeh-Navaei, R, Al-Raddadi, R, Altirkawi, KA, Anber, N, Anwari, P, Avila-Burgos, L, Awasthi, A, Barac, A, Barker-Collo, SL, Bedi, N, Bhutta, ZA, Borschmann, R, Boufous, S, Butt, ZA, Castaneda-Orjuela, CA, Dalal, K, Danawi, H, De Leo, D, Dharmaratne, SD, Djalalinia, S, Doyle, KE, Esteghamati, A, Faro, A, Farvid, MS, Fereshtehnejad, S-M, Fischer, F, Gebrehiwot, TT, Gutierrez, RA, Hafezi-Nejad, N, Hamadeh, RR, Hamidi, S, Haro, JM, Hendrie, D, Hu, G, Jonas, JB, Kasaeian, A, Keiyoro, PN, Khader, YS, Khan, EA, Khubchandani, J, Kopec, JA, Larson, HJ, Latif, AA, Leshargie, CT, Lunevicius, R, Abd El Razek, MM, Majeed, A, Malekzadeh, R, Memish, ZA, Meretoja, TJ, Miller, TR, Mohammed, S, Obermeyer, CM, Ogbo, FA, Phillips, MR, Pourmalek, F, Qorbani, M, Radfar, A, Rafay, A, Rahimi-Movaghar, A, Rahimi-Movaghar, V, Rai, RK, Rawaf, DL, Rawaf, S, Rezaei, S, Rezai, MS, Roshandel, G, Safdarian, M, Safiri, S, Salamati, P, Samy, AM, Sartorius, B, Seedat, S, Sepanlou, SG, Shaikh, MA, Sobaih, BHA, Tabb, KM, Tehrani-Banihashemi, A, Temsah, M-H, Terkawi, AS, RomanTopor-Madry, Ukwaja, KN, Uthman, OA, Yaseri, M, NaohiroYonemoto, Younis, MZ, Jumaan, AO, Vos, T, Hay, SI, Naghavi, M, and Murray, CJL
Abstract: OBJECTIVES: We used GBD 2015 findings to measure the burden of intentional injuries in the Eastern Mediterranean Region (EMR) between 1990 and 2015. METHODS: The Global Burden of Disease (GBD) study defines intentional injuries as a combination of self-harm (including suicide), interpersonal violence, collective violence (war), and legal intervention. We estimated number of deaths, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life years (DALYs) for each type of intentional injuries. RESULTS: In 2015, 28,695 individuals (95% UI: 25,474-37,832) died from self-harm, 35,626 (95% UI: 20,947-41,857) from interpersonal violence, and 143,858 (95% UI: 63,554-223,092) from collective violence and legal interventions. In 2015, collective violence and legal intervention was the fifth-leading cause of DALYs in the EMR and the leading cause in Syria, Yemen, Iraq, Afghanistan, and Libya; they account for 49.7% of total DALYs in Syria. CONCLUSIONS: Our findings call for increased efforts to stabilize the region and assist in rebuilding the health systems, as well as increasing transparency and employing preventive strategies to reduce self-harm and interpersonal injuries.
Published: 2018

9. Maternal mortality and morbidity burden in the Eastern Mediterranean Region: findings from the Global Burden of Disease 2015 study

Author: Mokdad, AH, Khalil, I, Collison, M, El Bcheraoui, C, Charara, R, Moradi-Lakeh, M, Afshin, A, Chew, A, Daoud, F, Krohn, KJ, Colombara, D, Ehrenkranz, R, Kutz, M, Wang, H, Abajobir, AA, Abd-Allah, F, Abraha, HN, Abu-Raddad, LJ, Kiadaliri, AA, Ahmadi, A, Ahmed, KY, Ahmed, MB, Al Lami, FH, Alam, K, Alasfoor, D, Alizadeh-Navaei, R, Alkaabi, JM, Al-Maskari, F, Al-Raddadi, R, Altirkawi, KA, Anber, N, Ansari, H, Asayesh, H, Asghar, RJ, Atey, TM, Ayele, TA, Baernighausen, T, Bacha, U, Barac, A, Barker-Collo, SL, Baune, BT, Bazargan-Hejazi, S, Geffen, D, Bedi, N, Bensenor, IM, Berhane, A, Beyene, AS, Bhutta, ZA, Boneya, DJ, Borschmann, R, Breitborde, NJK, Butt, ZA, Catala-Lopez, F, Ciobanu, LG, Danawi, H, Deribew, A, Dharmaratne, SD, Doyle, KE, Endries, AY, Faraon, EJA, Faro, A, Farvid, MS, Fekadu, W, Fereshtehnejad, S-M, Fischer, F, Gebrehiwot, TT, Giref, AZ, Gishu, MD, Goulart, AC, Habtewold, TD, Hamadeh, RR, Hambisa, MT, Hamidi, S, Maria Haro, J, Hassanvand, MS, Horita, N, Hsairi, M, Huang, H, Husseini, A, Jakovljevic, MB, James, SL, Jonas, JB, Kasaeian, A, Khader, YS, Khan, EA, Khoja, ATA, Khosravi, A, Khubchandani, J, Kim, D, Kim, YJ, Kokubo, Y, Koyanagi, A, Defo, BK, Larson, HJ, Latif, AA, Lee, PH, Leshargie, CT, Leung, R, Lo, L-T, Lunevicius, R, Abd El Razek, HM, Abd El Razek, MM, Majdzadeh, R, Majeed, A, Malekzadeh, R, Martinez-Raga, J, Farid, HM, Mazidi, M, McGrath, JJ, Memish, ZA, Mendoza, W, Mengesha, MM, Mengistie, MA, Mensah, GA, Mezgebe, HB, Miller, TR, Mitchell, PB, Mohammadi, A, Mohammed, S, Obermeyer, CM, Ogbo, FA, Palomares Castillo, E, Papachristou, C, Patten, SB, Patton, GC, Pereira, DM, Pervaiz, A, Phillips, MR, Pourmalek, F, Qorbani, M, Radfar, A, Rafay, A, Rahimi-Movaghar, V, Rai, RK, Rawaf, DL, Rawaf, S, Refaat, AH, Rezaei, S, Rezai, MS, Roshandel, G, Safdarian, M, Safiabadi, M, Safiri, S, Sagar, R, Sahraian, MA, Salamati, P, Samy, AM, Sartorius, B, Saylan, MI, Seedat, S, Sepanlou, SG, Shaikh, MA, Shamsizadeh, M, Santos Silva, DA, Singh, JA, Sobaih, BHA, Sreeramareddy, CT, Stein, DJ, Abdulkader, RS, Sykes, BL, Tabares-Seisdedos, R, Sufiyan, M, Tabb, KM, Tehrani-Banihashemi, A, Temsah, M-H, Terkawi, AS, Topor-Madry, R, Ukwaja, KN, Uthman, OA, Vollset, SE, Wakayo, T, Wang, Y-P, Werdecker, A, Westerman, R, Workicho, A, Yaghoubi, M, Yimam, HH, Yonemoto, N, Younis, MZ, Yu, C, Zaki, MES, Jumaan, AO, Vos, T, Hay, SI, Naghavi, M, Kassebaum, NJ, Murray, CJL, Mokdad, AH, Khalil, I, Collison, M, El Bcheraoui, C, Charara, R, Moradi-Lakeh, M, Afshin, A, Chew, A, Daoud, F, Krohn, KJ, Colombara, D, Ehrenkranz, R, Kutz, M, Wang, H, Abajobir, AA, Abd-Allah, F, Abraha, HN, Abu-Raddad, LJ, Kiadaliri, AA, Ahmadi, A, Ahmed, KY, Ahmed, MB, Al Lami, FH, Alam, K, Alasfoor, D, Alizadeh-Navaei, R, Alkaabi, JM, Al-Maskari, F, Al-Raddadi, R, Altirkawi, KA, Anber, N, Ansari, H, Asayesh, H, Asghar, RJ, Atey, TM, Ayele, TA, Baernighausen, T, Bacha, U, Barac, A, Barker-Collo, SL, Baune, BT, Bazargan-Hejazi, S, Geffen, D, Bedi, N, Bensenor, IM, Berhane, A, Beyene, AS, Bhutta, ZA, Boneya, DJ, Borschmann, R, Breitborde, NJK, Butt, ZA, Catala-Lopez, F, Ciobanu, LG, Danawi, H, Deribew, A, Dharmaratne, SD, Doyle, KE, Endries, AY, Faraon, EJA, Faro, A, Farvid, MS, Fekadu, W, Fereshtehnejad, S-M, Fischer, F, Gebrehiwot, TT, Giref, AZ, Gishu, MD, Goulart, AC, Habtewold, TD, Hamadeh, RR, Hambisa, MT, Hamidi, S, Maria Haro, J, Hassanvand, MS, Horita, N, Hsairi, M, Huang, H, Husseini, A, Jakovljevic, MB, James, SL, Jonas, JB, Kasaeian, A, Khader, YS, Khan, EA, Khoja, ATA, Khosravi, A, Khubchandani, J, Kim, D, Kim, YJ, Kokubo, Y, Koyanagi, A, Defo, BK, Larson, HJ, Latif, AA, Lee, PH, Leshargie, CT, Leung, R, Lo, L-T, Lunevicius, R, Abd El Razek, HM, Abd El Razek, MM, Majdzadeh, R, Majeed, A, Malekzadeh, R, Martinez-Raga, J, Farid, HM, Mazidi, M, McGrath, JJ, Memish, ZA, Mendoza, W, Mengesha, MM, Mengistie, MA, Mensah, GA, Mezgebe, HB, Miller, TR, Mitchell, PB, Mohammadi, A, Mohammed, S, Obermeyer, CM, Ogbo, FA, Palomares Castillo, E, Papachristou, C, Patten, SB, Patton, GC, Pereira, DM, Pervaiz, A, Phillips, MR, Pourmalek, F, Qorbani, M, Radfar, A, Rafay, A, Rahimi-Movaghar, V, Rai, RK, Rawaf, DL, Rawaf, S, Refaat, AH, Rezaei, S, Rezai, MS, Roshandel, G, Safdarian, M, Safiabadi, M, Safiri, S, Sagar, R, Sahraian, MA, Salamati, P, Samy, AM, Sartorius, B, Saylan, MI, Seedat, S, Sepanlou, SG, Shaikh, MA, Shamsizadeh, M, Santos Silva, DA, Singh, JA, Sobaih, BHA, Sreeramareddy, CT, Stein, DJ, Abdulkader, RS, Sykes, BL, Tabares-Seisdedos, R, Sufiyan, M, Tabb, KM, Tehrani-Banihashemi, A, Temsah, M-H, Terkawi, AS, Topor-Madry, R, Ukwaja, KN, Uthman, OA, Vollset, SE, Wakayo, T, Wang, Y-P, Werdecker, A, Westerman, R, Workicho, A, Yaghoubi, M, Yimam, HH, Yonemoto, N, Younis, MZ, Yu, C, Zaki, MES, Jumaan, AO, Vos, T, Hay, SI, Naghavi, M, Kassebaum, NJ, and Murray, CJL
Abstract: OBJECTIVES: Assessing the burden of maternal mortality is important for tracking progress and identifying public health gaps. This paper provides an overview of the burden of maternal mortality in the Eastern Mediterranean Region (EMR) by underlying cause and age from 1990 to 2015. METHODS: We used the results of the Global Burden of Disease 2015 study to explore maternal mortality in the EMR countries. RESULTS: The maternal mortality ratio in the EMR decreased 16.3% from 283 (241-328) maternal deaths per 100,000 live births in 1990 to 237 (188-293) in 2015. Maternal mortality ratio was strongly correlated with socio-demographic status, where the lowest-income countries contributed the most to the burden of maternal mortality in the region. CONCLUSION: Progress in reducing maternal mortality in the EMR has accelerated in the past 15 years, but the burden remains high. Coordinated and rigorous efforts are needed to make sure that adequate and timely services and interventions are available for women at each stage of reproductive life.
Published: 2018

10. The burden of mental disorders in the Eastern Mediterranean region, 1990-2015: findings from the global burden of disease 2015 study

Author: Mokdad, AH, Charara, R, El Bcheraoui, C, Khalil, I, Moradi-Lakeh, M, Afshin, A, Kassebaum, NJ, Collison, M, Krohn, KJ, Chew, A, Daoud, F, Charlson, FJ, Colombara, D, Degenhardt, L, Ehrenkranz, R, Erskine, HE, Ferrari, AJ, Kutz, M, Leung, J, Santomauro, D, Wang, H, Whiteford, HA, Abajobir, AA, Abd-Allah, F, Abraha, HN, Abu-Raddad, LJ, Kiadaliri, AA, Ahmadi, A, Yimam, K, Beshir, M, Al Lami, FH, Alam, K, Alasfoor, D, Alizadeh-Navaei, R, Alkaabi, JM, Al-Maskari, F, Al-Raddadi, R, Altirkawi, KA, Anber, N, Ansari, H, Asayesh, H, Asghar, RJ, Atey, TM, Ayele, TA, Baernighausen, T, Bacha, U, Barac, A, Barker-Collo, SL, Baune, BT, Bazargan-Hejazi, S, Drew, CR, Geffen, D, Bedi, N, Bensenor, IM, Berhane, A, Beyene, AS, Bhutta, ZA, Boneya, DJ, Borschmann, R, Breitborde, NJK, Butt, ZA, Catala-Lopez, F, Ciobanu, LG, Danawi, H, Deribew, A, Dharmaratne, SD, Doyle, KE, Endries, AY, Faraon, EJA, Faro, A, Farvid, MS, Fekadu, W, Fereshtehnejad, S-M, Fischer, F, Gebrehiwot, TT, Giref, AZ, Gishu, MD, Carvalho, A, Habtewold, TD, Hamadeh, RR, Hambisa, MT, Hamidi, S, Haro, JM, Hassanvand, MS, Horita, N, Hsairi, M, Huang, H, Husseini, A, Jakovljevic, MB, James, SL, Jonas, JB, Kasaeian, A, Khader, YS, Khan, EA, Khoja, ATA, Khosravi, A, Khubchandani, J, Kim, D, Kim, YJ, Kokubo, Y, Koyanagi, A, Defo, BK, Larson, HJ, Latif, AA, Lee, PH, Leshargie, CT, Leung, R, Lo, L-T, Lunevicius, R, Abd El Razek, HM, Abd El Razek, MM, Majdzadeh, R, Majeed, A, Malekzadeh, R, Martinez-Raga, J, Farid, HM, Mazidi, M, McGrath, JJ, Memish, ZA, Mendoza, W, Mengesha, MM, Mengistie, MA, Mezgebe, HB, Miller, TR, Mitchell, PB, Mohammadi, A, Mohammed, S, Obermeyer, CM, Ogbo, FA, Castillo, EP, Papachristou, C, Patten, SB, Patton, GC, Pervaiz, A, Phillips, MR, Pourmalek, F, Qorbani, M, Radfar, A, Rafay, A, Rahimi-Movaghar, V, Rai, RK, Rawaf, DL, Rawaf, S, Refaat, AH, Rezaei, S, Rezai, MS, Roshandel, G, Safdarian, M, Safiabadi, M, Safiri, S, Sagar, R, Sahraian, MA, Salamati, P, Samy, AM, Sartorius, B, Saylan, MI, Seedat, S, Sepanlou, SG, Shaikh, MA, Shamsizadeh, M, Silva, DAS, Singh, JA, Sobaih, BHA, Stein, DJ, Abdulkader, RS, Sykes, BL, Tabares-Seisdedos, R, Tabb, KM, Tehrani-Banihashemi, A, Temsah, M-H, Terkawi, AS, Topor-Madry, R, Ukwaja, KN, Uthman, OA, Vollset, SE, Wakayo, T, Wang, Y-P, Werdecker, A, Westerman, R, Workicho, A, Yaghoubi, M, Yimam, HH, Yonemoto, N, Younis, MZ, Yu, C, Zaki, MES, Zein, B, Jumaan, AO, Vos, T, Hay, SI, Naghavi, M, Murray, CJL, Mokdad, AH, Charara, R, El Bcheraoui, C, Khalil, I, Moradi-Lakeh, M, Afshin, A, Kassebaum, NJ, Collison, M, Krohn, KJ, Chew, A, Daoud, F, Charlson, FJ, Colombara, D, Degenhardt, L, Ehrenkranz, R, Erskine, HE, Ferrari, AJ, Kutz, M, Leung, J, Santomauro, D, Wang, H, Whiteford, HA, Abajobir, AA, Abd-Allah, F, Abraha, HN, Abu-Raddad, LJ, Kiadaliri, AA, Ahmadi, A, Yimam, K, Beshir, M, Al Lami, FH, Alam, K, Alasfoor, D, Alizadeh-Navaei, R, Alkaabi, JM, Al-Maskari, F, Al-Raddadi, R, Altirkawi, KA, Anber, N, Ansari, H, Asayesh, H, Asghar, RJ, Atey, TM, Ayele, TA, Baernighausen, T, Bacha, U, Barac, A, Barker-Collo, SL, Baune, BT, Bazargan-Hejazi, S, Drew, CR, Geffen, D, Bedi, N, Bensenor, IM, Berhane, A, Beyene, AS, Bhutta, ZA, Boneya, DJ, Borschmann, R, Breitborde, NJK, Butt, ZA, Catala-Lopez, F, Ciobanu, LG, Danawi, H, Deribew, A, Dharmaratne, SD, Doyle, KE, Endries, AY, Faraon, EJA, Faro, A, Farvid, MS, Fekadu, W, Fereshtehnejad, S-M, Fischer, F, Gebrehiwot, TT, Giref, AZ, Gishu, MD, Carvalho, A, Habtewold, TD, Hamadeh, RR, Hambisa, MT, Hamidi, S, Haro, JM, Hassanvand, MS, Horita, N, Hsairi, M, Huang, H, Husseini, A, Jakovljevic, MB, James, SL, Jonas, JB, Kasaeian, A, Khader, YS, Khan, EA, Khoja, ATA, Khosravi, A, Khubchandani, J, Kim, D, Kim, YJ, Kokubo, Y, Koyanagi, A, Defo, BK, Larson, HJ, Latif, AA, Lee, PH, Leshargie, CT, Leung, R, Lo, L-T, Lunevicius, R, Abd El Razek, HM, Abd El Razek, MM, Majdzadeh, R, Majeed, A, Malekzadeh, R, Martinez-Raga, J, Farid, HM, Mazidi, M, McGrath, JJ, Memish, ZA, Mendoza, W, Mengesha, MM, Mengistie, MA, Mezgebe, HB, Miller, TR, Mitchell, PB, Mohammadi, A, Mohammed, S, Obermeyer, CM, Ogbo, FA, Castillo, EP, Papachristou, C, Patten, SB, Patton, GC, Pervaiz, A, Phillips, MR, Pourmalek, F, Qorbani, M, Radfar, A, Rafay, A, Rahimi-Movaghar, V, Rai, RK, Rawaf, DL, Rawaf, S, Refaat, AH, Rezaei, S, Rezai, MS, Roshandel, G, Safdarian, M, Safiabadi, M, Safiri, S, Sagar, R, Sahraian, MA, Salamati, P, Samy, AM, Sartorius, B, Saylan, MI, Seedat, S, Sepanlou, SG, Shaikh, MA, Shamsizadeh, M, Silva, DAS, Singh, JA, Sobaih, BHA, Stein, DJ, Abdulkader, RS, Sykes, BL, Tabares-Seisdedos, R, Tabb, KM, Tehrani-Banihashemi, A, Temsah, M-H, Terkawi, AS, Topor-Madry, R, Ukwaja, KN, Uthman, OA, Vollset, SE, Wakayo, T, Wang, Y-P, Werdecker, A, Westerman, R, Workicho, A, Yaghoubi, M, Yimam, HH, Yonemoto, N, Younis, MZ, Yu, C, Zaki, MES, Zein, B, Jumaan, AO, Vos, T, Hay, SI, Naghavi, M, and Murray, CJL
Abstract: OBJECTIVES: Mental disorders are among the leading causes of nonfatal burden of disease globally. METHODS: We used the global burden of diseases, injuries, and risk factors study 2015 to examine the burden of mental disorders in the Eastern Mediterranean region (EMR). We defined mental disorders according to criteria proposed in the diagnostic and statistical manual of mental disorders IV and the 10th International Classification of Diseases. RESULTS: Mental disorders contributed to 4.7% (95% uncertainty interval (UI) 3.7-5.6%) of total disability-adjusted life-years (DALYs), ranking as the ninth leading cause of disease burden. Depressive disorders and anxiety disorders were the third and ninth leading causes of nonfatal burden, respectively. Almost all countries in the EMR had higher age-standardized mental disorder DALYs rates compared to the global level, and in half of the EMR countries, observed mental disorder rates exceeded the expected values. CONCLUSIONS: The burden of mental disorders in the EMR is higher than global levels, particularly for women. To properly address this burden, EMR governments should implement nationwide quality epidemiological surveillance of mental disorders and provide adequate prevention and treatment services.
Published: 2018

11. Child and Adolescent Health From 1990 to 2015: Findings From the Global Burden of Diseases, Injuries, and Risk Factors 2015 Study

Author: Global Burden of Disease Child and Adolescent Health Collaboration, Kassebaum N, Kyu HH, Zoeckler L, Olsen HE, Thomas K, Pinho C, Bhutta ZA, Dandona L, Ferrari A, Ghiwot TT, Hay SI, Kinfu Y, Liang X, Lopez A, Malta DC, Mokdad AH, Naghavi M, Patton GC, Salomon J, Sartorius B, Topor-Madry R, Vollset SE, Werdecker A, Whiteford HA, Abate KH, Abbas K, Damtew SA, Ahmed MB, Akseer N, Al-Raddadi R, Alemayohu MA, Altirkawi K, Abajobir AA, Amare AT, Antonio CAT, Arnlov J, Artaman A, Asayesh H, Avokpaho EFGA, Awasthi A, Ayala Quintanilla BP, Bacha U, Betsu BD, Barac A, Bärnighausen TW, Baye E, Bedi N, Bensenor IM, Berhane A, Bernabe E, Bernal OA, Beyene AS, Biadgilign S, Bikbov B, Boyce CA, Brazinova A, Hailu GB, Carter A, Castañeda-Orjuela CA, Catalá-López F, Charlson FJ, Chitheer AA, Choi JJ, Ciobanu LG, Crump J, Dandona R, Dellavalle RP, Deribew A, deVeber G, Dicker D, Ding EL, Dubey M, Endries AY, Erskine HE, Faraon EJA, Faro A, Farzadfar F, Fernandes JC, Fijabi DO, Fitzmaurice C, Fleming TD, Flor LS, Foreman KJ, Franklin RC, Fraser MS, Frostad JJ, Fullman N, Gebregergs GB, Gebru AA, Geleijnse JM, Gibney KB, Gidey Yihdego M, Ginawi IAM, Gishu MD, Gizachew TA, Glaser E, Gold AL, Goldberg E, Gona P, Goto A, Gugnani HC, Jiang G, Gupta R, Tesfay FH, Hankey GJ, Havmoeller R, Hijar M, Horino M, Hosgood HD, Hu G, Jacobsen KH, Jakovljevic MB, Jayaraman SP, Jha V, Jibat T, Johnson CO, Jonas J, Kasaeian A, Kawakami N, Keiyoro PN, Khalil I, Khang YH, Khubchandani J, Ahmad Kiadaliri AA, Kieling C, Kim D, Kissoon N, Knibbs LD, Koyanagi A, Krohn KJ, Kuate Defo B, Kucuk Bicer B, Kulikoff R, Kumar GA, Lal DK, Lam HY, Larson HJ, Larsson A, Laryea DO, Leung J, Lim SS, Lo LT, Lo WD, Looker KJ, Lotufo PA, Magdy Abd El Razek H, Malekzadeh R, Markos Shifti D, Mazidi M, Meaney PA, Meles KG, Memiah P, Mendoza W, Abera Mengistie M, Mengistu GW, Mensah GA, Miller TR, Mock C, Mohammadi A, Mohammed S, Monasta L, Mueller U, Nagata C, Naheed A, Nguyen G, Nguyen QL, Nsoesie E, Oh IH, Okoro A, Olusanya JO, Olusanya BO, Ortiz A, Paudel D, Pereira DM, Perico N, Petzold M, Phillips MR, Polanczyk GV, Pourmalek F, Qorbani M, Rafay A, Rahimi-Movaghar V, Rahman M, Rai RK, Ram U, Rankin Z, Remuzzi G, Renzaho AMN, Roba HS, Rojas-Rueda D, Ronfani L, Sagar R, Sanabria JR, Kedir Mohammed MS, Santos IS, Satpathy M, Sawhney M, Schöttker B, Schwebel DC, Scott JG, Sepanlou SG, Shaheen A, Shaikh MA, She J, Shiri R, Shiue I, Sigfusdottir ID, Singh J, Silpakit N, Smith A, Sreeramareddy C, Stanaway JD, Stein DJ, Steiner C, Sufiyan MB, Swaminathan S, Tabarés-Seisdedos R, Tabb KM, Tadese F, Tavakkoli M, Taye B, Teeple S, Tegegne TK, Temam Shifa G, Terkawi AS, Thomas B, Thomson AJ, Tobe-Gai R, Tonelli M, Tran BX, Troeger C, Ukwaja KN, Uthman O, Vasankari T, Venketasubramanian N, Vlassov VV, Weiderpass E, Weintraub R, Gebrehiwot SW, Westerman R, Williams HC, Wolfe CDA, Woodbrook R, Yano Y, Yonemoto N, Yoon SJ, Younis MZ, Yu C, Zaki MES, Zegeye EA, Zuhlke LJ, Murray CJL, and Vos T
Subjects: Male, Adolescent, G300, L500, Adolescent Health, Age Factors, Child Health, Correction, Global Health, Disabled Children, Global Burden of Disease, Pregnancy Complications, Sex Factors, Pregnancy, Risk Factors, Cause of Death, Child Mortality, Humans, Wounds and Injuries, Female, Child
Abstract: IMPORTANCE: Comprehensive and timely monitoring of disease burden in all age groups, including children and adolescents, is essential for improving population health. OBJECTIVE: To quantify and describe levels and trends of mortality and nonfatal health outcomes among children and adolescents from 1990 to 2015 to provide a framework for policy discussion. EVIDENCE REVIEW: Cause-specific mortality and nonfatal health outcomes were analyzed for 195 countries and territories by age group, sex, and year from 1990 to 2015 using standardized approaches for data processing and statistical modeling, with subsequent analysis of the findings to describe levels and trends across geography and time among children and adolescents 19 years or younger. A composite indicator of income, education, and fertility was developed (Socio-demographic Index [SDI]) for each geographic unit and year, which evaluates the historical association between SDI and health loss. FINDINGS: Global child and adolescent mortality decreased from 14.18 million (95% uncertainty interval [UI], 14.09 million to 14.28 million) deaths in 1990 to 7.26 million (95% UI, 7.14 million to 7.39 million) deaths in 2015, but progress has been unevenly distributed. Countries with a lower SDI had a larger proportion of mortality burden (75%) in 2015 than was the case in 1990 (61%). Most deaths in 2015 occurred in South Asia and sub-Saharan Africa. Global trends were driven by reductions in mortality owing to infectious, nutritional, and neonatal disorders, which in the aggregate led to a relative increase in the importance of noncommunicable diseases and injuries in explaining global disease burden. The absolute burden of disability in children and adolescents increased 4.3% (95% UI, 3.1%-5.6%) from 1990 to 2015, with much of the increase owing to population growth and improved survival for children and adolescents to older ages. Other than infectious conditions, many top causes of disability are associated with long-term sequelae of conditions present at birth (eg, neonatal disorders, congenital birth defects, and hemoglobinopathies) and complications of a variety of infections and nutritional deficiencies. Anemia, developmental intellectual disability, hearing loss, epilepsy, and vision loss are important contributors to childhood disability that can arise from multiple causes. Maternal and reproductive health remains a key cause of disease burden in adolescent females, especially in lower-SDI countries. In low-SDI countries, mortality is the primary driver of health loss for children and adolescents, whereas disability predominates in higher-SDI locations; the specific pattern of epidemiological transition varies across diseases and injuries. CONCLUSIONS AND RELEVANCE: Consistent international attention and investment have led to sustained improvements in causes of health loss among children and adolescents in many countries, although progress has been uneven. The persistence of infectious diseases in some countries, coupled with ongoing epidemiologic transition to injuries and noncommunicable diseases, require all countries to carefully evaluate and implement appropriate strategies to maximize the health of their children and adolescents and for the international community to carefully consider which elements of child and adolescent health should be monitored.
Published: 2017

12. Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013

Author: Vos, T, Barber, Rm, Bell, B, Bertozzi Villa, A, Biryukov, S, Bolliger, I, Charlson, F, Davis, A, Degenhardt, L, Dicker, D, Duan, L, Erskine, H, Feigin, Vl, Ferrari, Aj, Fitzmaurice, C, Fleming, T, Graetz, N, Guinovart, C, Haagsma, J, Hansen, Gm, Hanson, Sw, Heuton, Kr, Higashi, H, Kassebaum, N, Kyu, H, Laurie, E, Liang, X, Lofgren, K, Lozano, R, Macintyre, Mf, Moradi Lakeh, M, Naghavi, M, Nguyen, G, Odell, S, Ortblad, K, Roberts, Da, Roth, Ga, Sandar, L, Serina, Pt, Stanaway, Jd, Steiner, C, Thomas, B, Vollset, Se, Whiteford, H, Wolock, Tm, Ye, P, Zhou, M, Ãvila, Ma, Aasvang, Gm, Abbafati, C, Abbasoglu, Ozgoren, A, Abd Allah, F, Abdel, Aziz, Abera, Sf, Aboyans, V, Abraham, Jp, Abraham, B, Abubakar, I, Abu Raddad, Lj, Abu Rmeileh, Nm, Aburto, Tc, Achoki, T, Ackerman, In, Adelekan, A, Ademi, Z, Adou, Ak, Adsuar, Jc, Arnlov, J, Agardh, Ee, Khabouri, Al, Alam, Ss, Alasfoor, D, Albittar, Mi, Alegretti, Ma, Aleman, Av, Alemu, Za, Alfonso Cristancho, R, Alhabib, S, Ali, R, Alla, F, Allebeck, P, Allen, Pj, Almazroa, Ma, Alsharif, U, Alvarez, E, Alvis, Guzman, Ameli, N, O, Amini, H, Ammar, W, Anderson, Bo, Anderson, Hr, Antonio, Ca, Anwari, P, Apfel, H, Arsenijevic, Vs, Artaman, A, Asghar, Rj, Assadi, R, Atkins, Ls, Atkinson, C, Badawi, A, Bahit, Mc, Bakfalouni, T, Balakrishnan, K, Balalla, S, Banerjee, A, Barker Collo, Sl, Barquera, S, Barregard, L, Barrero, Lh, Basu, S, Basu, A, Baxter, A, Beardsley, J, Bedi, N, Beghi, E, Bekele, T, Bell, Ml, Benjet, C, Bennett, Da, Bensenor, Im, Benzian, H, Bernabe, E, Beyene, Tj, Bhala, N, Bhalla, A, Bhutta, Z, Bienhoff, K, Bikbov, B, Bin, Abdulhak, Blore, Jd, Blyth, Fm, Bohensky, Ma, Bora, Basara, B, Borges, G, Bornstein, Nm, Bose, D, Boufous, S, Bourne, Rr, Boyers, Ln, Brainin, M, Brauer, M, Brayne, Ce, Brazinova, A, Breitborde, Nj, Brenner, H, Briggs, Ad, Brooks, Pm, Brown, J, Brugha, Ts, Buchbinder, R, Buckle, Gc, Bukhman, G, Bulloch, Ag, Burch, M, Burnett, R, Cardenas, R, Cabral, Nl, Campos, Nonato, Campuzano, Ir, Carapetis, Jc, Carpenter, Do, Caso, V, Castaneda Orjuela, Ca, Catala Lopez, F, Chadha, Vk, Chang, Jc, Chen, H, Chen, W, Chiang, Pp, Chimed Ochir, O, Chowdhury, R, Christensen, H, Christophi, Ca, Chugh, Ss, Cirillo, Massimo, Coggeshall, M, Cohen, A, Colistro, V, Colquhoun, Sm, Contreras, Ag, Cooper, Lt, Cooper, C, Cooperrider, K, Coresh, J, Cortinovis, M, Criqui, Mh, Crump, Ja, Cuevas Nasu, L, Dandona, R, Dandona, L, Dansereau, E, Dantes, Hg, Dargan, Pi, Davey, G, Davitoiu, Dv, Dayama, A, La, De, Cruz, Gongora, De, V, Vega, La, De, Sf, Leo, D, Del, Pozo, Cruz, Dellavalle, Rp, Deribe, K, Derrett, S, Des, Jarlais, Dessalegn, M, Deveber, Ga, Dharmaratne, Sd, Diaz Torne, C, Ding, El, Dokova, K, Dorsey, Er, Driscoll, Tr, Duber, H, Durrani, Am, Edmond, Km, Ellenbogen, Rg, Endres, M, Ermakov, Sp, Eshrati, B, Esteghamati, A, Estep, K, Fahimi, S, Farzadfar, F, Fay, Df, Felson, Dt, Fereshtehnejad, Sm, Fernandes, Jg, Ferri, Cp, Flaxman, A, Foigt, N, Foreman, Kj, Fowkes, Fg, Franklin, Rc, Furst, T, Futran, Nd, Gabbe, Bj, Gankpe, Fg, Garcia, Guerra, Geleijnse, Fa, Gessner, Bd, Gibney, Kb, Gillum, Rf, Ginawi, Ia, Giroud, M, Giussani, G, Goenka, S, Goginashvili, K, Gona, P, Gonzalez, De, Cosio, T, Gosselin, Ra, Gotay, Cc, Goto, A, Gouda, Hn, Guerrant, Rl, Gugnani, Hc, Gunnell, D, Gupta, R, Gutierrez, Ra, Hafezi Nejad, N, Hagan, H, Halasa, Y, Hamadeh, Rr, Hamavid, H, Hammami, M, Hankey, Gj, Hao, Y, Harb, Hl, Haro, Jm, Havmoeller, R, Hay, Rj, Hay, S, Hedayati, Mt, Heredia, Pi, Heydarpour, P, Hijar, M, Hoek, Hw, Hoffman, Hj, Hornberger, Jc, Hosgood, Hd, Hossain, M, Hotez, Pj, Hoy, Dg, Hsairi, M, Hu, H, Hu, G, Huang, Jj, Huang, C, Huiart, L, Husseini, A, Iannarone, M, Iburg, Km, Innos, K, Inoue, M, Jacobsen, Kh, Jassal, Sk, Jeemon, P, Jensen, Pn, Jha, V, Jiang, G, Jiang, Y, Jonas, Jb, Joseph, J, Juel, K, Kan, H, Karch, A, Karimkhani, C, Karthikeyan, G, Katz, R, Kaul, A, Kawakami, N, Kazi, Ds, Kemp, Ah, Kengne, Ap, Khader, Ys, Khalifa, Se, Khan, Ea, Khan, G, Khang, Yh, Khonelidze, I, Kieling, C, Kim, D, Kim, S, Kimokoti, Rw, Kinfu, Y, Kinge, Jm, Kissela, Bm, Kivipelto, M, Knibbs, L, Knudsen, Ak, Kokubo, Y, Kosen, S, Kramer, A, Kravchenko, M, Krishnamurthi, Rv, Krishnaswami, S, Kuate, Defo, Kucuk, B, Bicer, B, Kuipers, Ej, Kulkarni, Vs, Kumar, K, Kumar, Ga, Kwan, Gf, Lai, T, Lalloo, R, Lam, H, Lan, Q, Lansingh, Vc, Larson, H, Larsson, A, Lawrynowicz, Ae, Leasher, Jl, Lee, Jt, Leigh, J, Leung, R, Levi, M, Li, B, Li, Y, Liang, J, Lim, S, Lin, Hh, Lind, M, Lindsay, Mp, Lipshultz, Se, Liu, S, Lloyd, Bk, Lockett, Ohno, S, Logroscino, G, Looker, Kj, Lopez, Ad, Lopez Olmedo, N, Lortet Tieulent, J, Lotufo, Pa, Low, N, Lucas, Rm, Lunevicius, R, Lyons, Ra, Ma, J, Ma, S, Mackay, Mt, Majdan, M, Malekzadeh, R, Mapoma, Cc, Marcenes, W, March, Lm, Margono, C, Marks, Gb, Marzan, Mb, Masci, Jr, Mason Jones, Aj, Matzopoulos, Rg, Mayosi, Bm, Mazorodze, Tt, Mcgill, Nw, Mcgrath, Jj, Mckee, M, Mclain, A, Mcmahon, Bj, Meaney, Pa, Mehndiratta, Mm, Mejia Rodriguez, F, Mekonnen, W, Melaku, Ya, Meltzer, M, Memish, Za, Mensah, G, Meretoja, A, Mhimbira, Fa, Micha, R, Miller, Tr, Mills, Ej, Mitchell, Pb, Mock, Cn, Moffitt, Te, Mohamed, Ibrahim, N, Mohammad, Ka, Mokdad, Ah, Mola, Gl, Monasta, L, Montico, M, Montine, Tj, Moore, Ar, Moran, Ae, Morawska, L, Mori, R, Moschandreas, J, Moturi, Wn, Moyer, M, Mozaffarian, D, Mueller, Uo, Mukaigawara, M, Murdoch, Me, Murray, J, Murthy, Ks, Naghavi, P, Nahas, Z, Naheed, A, Naidoo, Ks, Naldi, L, Nand, D, Nangia, V, Narayan, Km, Nash, D, Nejjari, C, Neupane, Sp, Newman, Lm, Newton, Cr, Ng, M, Ngalesoni, Fn, Nhung, Nt, Nisar, Mi, Nolte, S, Norheim, Of, Norman, Re, Norrving, B, Nyakarahuka, L, Ih, Oh, Ohkubo, T, Omer, Sb, Opio, Jn, Ortiz, A, Pandian, Jd, Panelo, Ci, Papachristou, C, Park, Ek, Parry, Cd, Caicedo, Aj, Patten, Sb, Paul, Vk, Pavlin, Bi, Pearce, N, Pedraza, Ls, Pellegrini, Ca, Pereira, Dm, Perez Ruiz, Fp, Perico, N, Pervaiz, A, Pesudovs, K, Peterson, Cb, Petzold, M, Phillips, Mr, Phillips, D, Phillips, B, Piel, Fb, Plass, D, Poenaru, D, Polanczyk, Gv, Polinder, S, Pope, Ca, Popova, S, Poulton, Rg, Pourmalek, F, Prabhakaran, D, Prasad, Nm, Qato, D, Quistberg, Da, Rafay, A, Rahimi, K, Rahimi Movaghar, V, Rahman, Su, Raju, M, Rakovac, I, Rana, Sm, Razavi, H, Refaat, A, Rehm, J, Remuzzi, G, Resnikoff, S, Ribeiro, Al, Riccio, Pm, Richardson, L, Richardus, Jh, Riederer, Am, Robinson, M, Roca, A, Rodriguez, A, Rojas Rueda, D, Ronfani, L, Rothenbacher, D, Roy, N, Ruhago, Gm, Sabin, N, Sacco, Rl, Ksoreide, K, Saha, S, Sahathevan, R, Sahraian, Ma, Sampson, U, Sanabria, Jr, Sanchez Riera, L, Santos, Is, Satpathy, M, Saunders, Je, Sawhney, M, Saylan, Mi, Scarborough, P, Schoettker, B, Schneider, Ij, Schwebel, Dc, Scott, Jg, Seedat, S, Sepanlou, Sg, Serdar, B, Servan Mori, Ee, Shackelford, K, Shaheen, A, Shahraz, S, Shamah, Levy, T, Shangguan, S, She, J, Sheikhbahaei, S, Shepard, Ds, Shi, P, Shibuya, K, Shinohara, Y, Shiri, R, Shishani, K, Shiue, I, Shrime, Mg, Sigfusdottir, Id, Silberberg, Dh, Simard, Ep, Sindi, S, Singh, Ja, Singh, L, Skirbekk, V, Sliwa, K, Soljak, M, Soneji, S, Soshnikov, Ss, Speyer, P, Sposato, La, Sreeramareddy, Ct, Stoeckl, H, Stathopoulou, Vk, Steckling, N, Stein, Mb, Stein, Dj, Steiner, Tj, Stewart, A, Stork, E, Stovner, Lj, Stroumpoulis, K, Sturua, L, Sunguya, Bf, Swaroop, M, Sykes, Bl, Tabb, Km, Takahashi, K, Tan, F, Tandon, N, Tanne, D, Tanner, M, Tavakkoli, M, Taylor, Hr, Ao, Te, Temesgen, Am, Ten, Have, M, Tenkorang, Ey, Terkawi, As, Theadom, Am, Thomas, E, Thorne Lyman, Al, Thrift, Ag, Tleyjeh, Im, Tonelli, M, Topouzis, F, Towbin, Ja, Toyoshima, H, Traebert, J, Tran, Bx, Trasande, L, Trillini, M, Truelsen, T, Trujillo, U, Tsilimbaris, M, Tuzcu, Em, Ukwaja, Kn, Undurraga, Ea, Uzun, Sb, Van, Brakel, Van, Wh, Vijver, De, Van, S, Dingenen, R, Van, Gool, Varakin, Yy, Vasankari, Tj, Vavilala, Ms, Veerman, Lj, Velasquez, Melendez, G, Venketasubramanian, N, Vijayakumar, L, Villalpando, S, Violante, Fs, Vlassov, Vv, Waller, S, Wallin, Mt, Wan, X, Wang, L, Wang, J, Wang, Y, Warouw, Ts, Weichenthal, S, Weiderpass, E, Weintraub, Rg, Werdecker, A, Wessells, Kr, Westerman, R, Wilkinson, Jd, Williams, Hc, Williams, Tn, Woldeyohannes, Sm, Wolfe, Cd, Wong, Jq, Wong, H, Woolf, Ad, Wright, Jl, Wurtz, B, Xu, G, Yang, G, Yano, Y, Yenesew, Ma, Yentur, Gk, Yip, P, Yonemoto, N, Yoon, Sj, Younis, M, Yu, C, Kim, Ky, Zaki, Mel, Zhang, Y, Zhao, Z, Zhao, Y, Zhu, J, Zonies, D, Zunt, Jr, Salomon, Ja, Murray, C. J., Vos, T, Barber, Rm, Bell, B, Bertozzi-Villa, A, Biryukov, S, Bolliger, I, Charlson, F, Davis, A, Degenhardt, L, Dicker, D, Duan, L, Erskine, H, Feigin, Vl, Ferrari, Aj, Fitzmaurice, C, Fleming, T, Graetz, N, Guinovart, C, Haagsma, J, Hansen, Gm, Hanson, Sw, Heuton, Kr, Higashi, H, Kassebaum, N, Kyu, H, Laurie ELiang, X, Lofgren, K, Lozano, R, Macintyre, Mf, Moradi-Lakeh, M, Naghavi, M, Nguyen, G, Odell, S, Ortblad, K, Roberts, Da, Roth, Ga, Sandar, L, Serina, Pt, Stanaway, Jd, Steiner, C, Thomas, B, Vollset, Se, Whiteford, H, Wolock, Tm, Ye, P, Zhou, M, Ãvila, Ma, Aasvang, Gm, Abbafati, C, Abbasoglu Ozgoren, A, Abd-Allah, F, Abdel Aziz MI, Abera, Sf, Aboyans, V, Abraham, Jp, Abraham, B, Abubakar, I, Abu-Raddad, Lj, Abu-Rmeileh, Nm, Aburto, Tc, Achoki TAckerman IN, Adelekan, A, Ademi, Z, Adou, Ak, Adsuar, Jc, Arnlov, J, Agardh, Ee, Al Khabouri MJ, Alam, S, Alasfoor, D, Albittar, Mi, Alegretti MAAleman AV, Alemu, Za, Alfonso-Cristancho, R, Alhabib, S, Ali, R, Alla, F, Allebeck, P, Allen, Pj, Almazroa, Ma, Alsharif, U, Alvarez, E, Alvis-Guzman NAmeli, O, Amini, H, Ammar, W, Anderson, Bo, Anderson, Hr, Antonio, Ca, Anwari, P, Apfel, H, Arsenijevic, V, Artaman, A, Asghar, Rj, Assadi, R, Atkins, L, Atkinson, C, Badawi, A, Bahit, Mc, Bakfalouni, T, Balakrishnan, K, Balalla, S, Banerjee, A, Barker-Collo, Sl, Barquera, S, Barregard, L, Barrero LHBasu, S, Basu, A, Baxter, A, Beardsley, J, Bedi, N, Beghi, E, Bekele, T, Bell, Ml, Benjet, C, Bennett, Da, Bensenor, Im, Benzian, H, Bernabe, E, Beyene TJBhala, N, Bhalla, A, Bhutta, Z, Bienhoff, K, Bikbov, B, Bin Abdulhak, A, Blore, Jd, Blyth, Fm, Bohensky, Ma, Bora Basara, B, Borges, G, Bornstein, Nm, Bose, D, Boufous, S, Bourne, Rr, Boyers, Ln, Brainin, M, Brauer, M, Brayne, Ce, Brazinova, A, Breitborde, Nj, Brenner, H, Briggs, Ad, Brooks, Pm, Brown JBrugha TS, Buchbinder, R, Buckle, Gc, Bukhman, G, Bulloch, Ag, Burch, M, Burnett, R, Cardenas, R, Cabral, Nl, Campos Nonato IR, Campuzano JCCarapetis JR, Carpenter, Do, Caso, V, Castaneda-Orjuela, Ca, Catala-Lopez, F, Chadha, Vk, Chang, Jc, Chen, H, Chen, W, Chiang, Pp, Chimed-Ochir, O, Chowdhury, R, Christensen, H, Christophi, Ca, Chugh, S, Cirillo, M, Coggeshall, M, Cohen, A, Colistro, V, Colquhoun, Sm, Contreras, Ag, Cooper LTCooper, C, Cooperrider, K, Coresh, J, Cortinovis, M, Criqui, Mh, Crump, Ja, Cuevas-Nasu, L, Dandona, R, Dandona, L, Dansereau, E, Dantes, Hg, Dargan, Pi, Davey, G, Davitoiu, Dv, Dayama, A, De la Cruz-Gongora, V, de la Vega SF, De Leo, D, del Pozo-Cruz, B, Dellavalle, Rp, Deribe, K, Derrett, S, Des Jarlais DC, Dessalegn, M, Deveber, Ga, Dharmaratne, Sd, Diaz-Torne, C, Ding, El, Dokova, K, Dorsey, Er, Driscoll, Tr, Duber, H, Durrani, Am, Edmond, Km, Ellenbogen, Rg, Endres, M, Ermakov, Sp, Eshrati, B, Esteghamati, A, Estep, K, Fahimi, S, Farzadfar, F, Fay, Df, Felson, Dt, Fereshtehnejad SMFernandes JG, Ferri, Cp, Flaxman, A, Foigt, N, Foreman, Kj, Fowkes, Fg, Franklin, Rc, Furst, T, Futran, Nd, Gabbe, Bj, Gankpe, Fg, Garcia-Guerra FAGeleijnse JM, Gessner, Bd, Gibney, Kb, Gillum, Rf, Ginawi, Ia, Giroud, M, Giussani, G, Goenka, S, Goginashvili, K, Gona, P, Gonzalez de Cosio TGosselin RA, Gotay, Cc, Goto, A, Gouda, Hn, Guerrant, Rl, Gugnani, Hc, Gunnell, D, Gupta, R, Gutierrez, Ra, Hafezi-Nejad, N, Hagan HHalasa, Y, Hamadeh, Rr, Hamavid, H, Hammami, M, Hankey, Gj, Hao, Y, Harb, Hl, Haro, Jm, Havmoeller, R, Hay, Rj, Hay, S, Hedayati, Mt, Heredia Pi IB, Heydarpour, P, Hijar, M, Hoek, Hw, Hoffman, Hj, Hornberger, Jc, Hosgood, Hd, Hossain, M, Hotez, Pj, Hoy, Dg, Hsairi, M, Hu, H, Hu, G, Huang JJHuang, C, Huiart, L, Husseini, A, Iannarone, M, Iburg, Km, Innos, K, Inoue, M, Jacobsen, Kh, Jassal, Sk, Jeemon, P, Jensen, Pn, Jha, V, Jiang, G, Jiang YJonas JB, Joseph, J, Juel, K, Kan, H, Karch, A, Karimkhani, C, Karthikeyan, G, Katz, R, Kaul, A, Kawakami, N, Kazi, D, Kemp, Ah, Kengne, Ap, Khader, Y, Khalifa, Se, Khan, Ea, Khan, G, Khang, Yh, Khonelidze, I, Kieling, C, Kim, D, Kim, S, Kimokoti, Rw, Kinfu, Y, Kinge, Jm, Kissela, Bm, Kivipelto MKnibbs, L, Knudsen, Ak, Kokubo, Y, Kosen, S, Kramer, A, Kravchenko, M, Krishnamurthi, Rv, Krishnaswami, S, Kuate Defo, B, Kucuk Bicer, B, Kuipers EJKulkarni VS, Kumar, K, Kumar, Ga, Kwan, Gf, Lai, T, Lalloo, R, Lam, H, Lan, Q, Lansingh, Vc, Larson, H, Larsson, A, Lawrynowicz, Ae, Leasher, Jl, Lee, Jt, Leigh, J, Leung, R, Levi, M, Li, B, Li, Y, Liang, J, Lim, S, Lin, Hh, Lind, M, Lindsay, Mp, Lipshultz, Se, Liu, S, Lloyd, Bk, Lockett Ohno, S, Logroscino, G, Looker, Kj, Lopez, Ad, Lopez-Olmedo, N, Lortet-Tieulent, J, Lotufo, Pa, Low, N, Lucas, Rm, Lunevicius, R, Lyons, Ra, Ma, J, Ma, S, Mackay MTMajdan, M, Malekzadeh, R, Mapoma, Cc, Marcenes, W, March, Lm, Margono, C, Marks, Gb, Marzan, Mb, Masci, Jr, Mason-Jones, Aj, Matzopoulos RGMayosi BM, Mazorodze, Tt, Mcgill, Nw, Mcgrath, Jj, Mckee, M, Mclain, A, Mcmahon, Bj, Meaney, Pa, Mehndiratta, Mm, Mejia-Rodriguez, F, Mekonnen, W, Melaku, Ya, Meltzer, M, Memish, Za, Mensah, G, Meretoja, A, Mhimbira, Fa, Micha, R, Miller, Tr, Mills, Ej, Mitchell, Pb, Mock, Cn, Moffitt TEMohamed Ibrahim, N, Mohammad, Ka, Mokdad, Ah, Mola, Gl, Monasta, L, Montico, M, Montine, Tj, Moore, Ar, Moran, Ae, Morawska, L, Mori RMoschandreas, J, Moturi, Wn, Moyer, M, Mozaffarian, D, Mueller, Uo, Mukaigawara, M, Murdoch, Me, Murray, J, Murthy, K, Naghavi, P, Nahas ZNaheed, A, Naidoo, K, Naldi, L, Nand, D, Nangia, V, Narayan, Km, Nash, D, Nejjari, C, Neupane, Sp, Newman, Lm, Newton, Cr, Ng, M, Ngalesoni FNNhung NT, Nisar, Mi, Nolte, S, Norheim, Of, Norman, Re, Norrving, B, Nyakarahuka, L, Oh, Ih, Ohkubo, T, Omer, Sb, Opio, Jn, Ortiz, A, Pandian JDPanelo CI, Papachristou, C, Park, Ek, Parry, Cd, Caicedo, Aj, Patten, Sb, Paul, Vk, Pavlin, Bi, Pearce, N, Pedraza, L, Pellegrini, Ca, Pereira, Dm, Perez-Ruiz, Fp, Perico, N, Pervaiz, A, Pesudovs, K, Peterson, Cb, Petzold, M, Phillips, Mr, Phillips, D, Phillips, B, Piel, Fb, Plass, D, Poenaru, D, Polanczyk GVPolinder, S, Pope, Ca, Popova, S, Poulton, Rg, Pourmalek, F, Prabhakaran, 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Venkat, Nash, Deni, Nejjari, Chakib, Neupane, Sudan P., Newman, Lori M., Newton, Charles R., Ng, Marie, Ngalesoni, Frida N., Nhung, Nguyen T., Nisar, Muhammad I., Nolte, Sandra, Norheim, Ole F., Norman, Rosana E., Norrving, Bo, Nyakarahuka, Luke, Oh, In Hwan, Ohkubo, Takayoshi, Omer, Saad B., Opio, John Nelson, Ortiz, Alberto, Pandian, Jeyaraj D., Panelo, Carlo Irwin A., Papachristou, Christina, Park, Eun-Kee, Parry, Charles D., Caicedo, Angel J. Paternina, Patten, Scott B., Paul, Vinod K., Pavlin, Boris I., Pearce, Neil, Pedraza, Lilia S., Pellegrini, Carlos A., Pereira, David M., Perez-Ruiz, Fernando P., Perico, Norberto, Pervaiz, Aslam, Pesudovs, Konrad, Peterson, Carrie B., Petzold, Max, Phillips, Michael R., Phillips, David, Phillips, Bryan, Piel, Frederic B., Plass, Dietrich, Poenaru, Dan, Polanczyk, Guilherme V., Polinder, Suzanne, Pope, C.A., Popova, Svetlana, Poulton, Richie G., Pourmalek, Farshad, Prabhakaran, Dorairaj, Prasad, Noela M., Qato, Dima, Quistberg, D.A., Rafay, Anwar, Rahimi, Kazem, Rahimi-Movaghar, Vafa, Rahman, Sajjad Ur, Raju, Murugesan, Rakovac, Ivo, Rana, Saleem M., Razavi, Homie, Refaat, Amany, Rehm, Jurgen, Remuzzi, Giuseppe, Resnikoff, Serge, Ribeiro, Antonio L., Riccio, Patricia M., Richardson, Lee, Richardus, Jan Hendrik, Riederer, Anne M., Robinson, Margot, Roca, Anna, Rodriguez, Alina, Rojas-Rueda, David, Ronfani, Luca, Rothenbacher, Dietrich, Roy, Nobhojit, Ruhago, George M., Sabin, Nsanzimana, Sacco, Ralph L., Ksoreide, Kjetil, Saha, Sukanta, Sahathevan, Ramesh, Sahraian, Mohammad Ali, Sampson, Uchechukwu, Sanabria, Juan R., Sanchez-Riera, Lidia, Santos, Itamar S., Satpathy, Maheswar, Saunders, James E., Sawhney, Monika, Saylan, Mete I., Scarborough, Peter, Schoettker, Ben, Schneider, Ione J.C., Schwebel, David C., Scott, James G., Seedat, Soraya, Sepanlou, Sadaf G., Serdar, Berrin, Servan-Mori, Edson E., Shackelford, Katya, Shaheen, Amira, Shahraz, Saeid, Levy, Teresa Shamah, Shangguan, Siyi, She, Jun, Sheikhbahaei, Sara, Shepard, Donald S., Shi, Peilin, Shibuya, Kenji, Shinohara, Yukito, Shiri, Rahman, Shishani, Kawkab, Shiue, Ivy, Shrime, Mark G., Sigfusdottir, Inga D., Silberberg, Donald H., Simard, Edgar P., Sindi, Shireen, Singh, Jasvinder A., Singh, Lavanya, Skirbekk, Vegard, Sliwa, Karen, Soljak, Michael, Soneji, Samir, Soshnikov, Sergey S., Speyer, Peter, Sposato, Luciano A., Sreeramareddy, Chandrashekhar T., Stoeckl, Heidi, Stathopoulou, Vasiliki Kalliopi, Steckling, Nadine, Stein, Murray B., Stein, Dan J., Steiner, Timothy J., Stewart, Andrea, Stork, Eden, Stovner, Lars J., Stroumpoulis, Konstantino, Sturua, Lela, Sunguya, Bruno F., Swaroop, Mamta, Sykes, Bryan L., Tabb, Karen M., Takahashi, Ken, Tan, Feng, Tandon, Nikhil, Tanne, David, Tanner, Marcel, Tavakkoli, Mohammad, Taylor, Hugh R., Te Ao, Braden J., Temesgen, Awoke Misganaw, Have, Margreet Ten, Tenkorang, Eric Yeboah, Terkawi, Abdullah Sulieman, Theadom, Alice M., Thomas, Elissa, Thorne-Lyman, Andrew L., Thrift, Amanda G., Tleyjeh, Imad M., Tonelli, Marcello, Topouzis, Foti, Towbin, Jeffrey A., Toyoshima, Hideaki, Traebert, Jefferson, Tran, Bach X., Trasande, Leonardo, Trillini, Matia, Truelsen, Thoma, Trujillo, Ulise, Tsilimbaris, Miltiadi, Tuzcu, Emin M., Ukwaja, Kingsley N., Undurraga, Eduardo A., Uzun, Selen B., Van Brakel, Wim H., Van De Vijver, Steven, Dingenen, Rita Van, Van Gool, Coen H., Varakin, Yuri Y., Vasankari, Tommi J., Vavilala, Monica S., Veerman, Lennert J., Velasquez-Melendez, Gustavo, Venketasubramanian, Narayanaswamy, Vijayakumar, Lakshmi, Villalpando, Salvador, Violante, Francesco S., Vlassov, Vasiliy V., Waller, Stephen, Wallin, Mitchell T., Wan, Xia, Wang, Linhong, Wang, Jianli, Wang, Yanping, Warouw, Tati S., Weichenthal, Scott, Weiderpass, Elisabete, Weintraub, Robert G., Werdecker, Andrea, Wessells, K. Ryan, Westerman, Ronny, Wilkinson, James D., Williams, Hywel C., Williams, Thomas N., Woldeyohannes, Solomon M., Wolfe, Charles D.A., Wong, John Q., Wong, Haidong, Woolf, Anthony D., Wright, Jonathan L., Wurtz, Brittany, Xu, Gelin, Yang, Gonghuan, Yano, Yuichiro, Yenesew, Muluken A., Yentur, Gokalp K., Yip, Paul, Yonemoto, Naohiro, Yoon, Seok-Jun, Younis, Mustafa, Yu, Chuanhua, Kim, Kim Yun, Zaki, Maysaa El Sayed, Zhang, Yong, Zhao, Zheng, Zhao, Yong, Zhu, Jun, Zonies, David, Zunt, Joseph R., Salomon, Joshua A., Murray, Christopher J.L., Cell biology, Gastroenterology & Hepatology, Epidemiology, Health Technology Assessment (HTA), and Public Health
Subjects: Male, Gerontology, Nutrition and Disease, Epidemiology, years lived with disability, Global burden of disease, acute and chronic diseases, countries, Prevalence, Disease, Global Health, Medical and Health Sciences, Conduct disorder, Otitis-media, Cost of Illness, Residence Characteristics, Voeding en Ziekte, 80 and over, Global health, 2.2 Factors relating to the physical environment, 2.1 Biological and endogenous factors, countries, Aetiology, Child, Aged, 80 and over, Medicine(all), education.field_of_study, ATTENTION-DEFICIT/HYPERACTIVITY DISORDER, Incidence, Mortality rate, Incidence (epidemiology), Pain Research, Neglected Diseases, Alcohol dependence, General Medicine, Middle Aged, Global burden of disease, Global Burden of Disease Study 2013 Collaborators, Mental Health, Infectious Diseases, Attention deficit/Hyperactivity disorder, Burden of Illness, Child, Preschool, Acute Disease, Female, Life Sciences & Biomedicine, Adult, medicine.medical_specialty, Adolescent, GBD 2013, Population, acute and chronic diseases, Young Adult, Mental-disorders, Age Distribution, Medicine, General & Internal, Weights, General & Internal Medicine, medicine, Humans, Life Science, Disabled Persons, Sex Distribution, Preschool, education, Developing Countries, VLAG, Aged, Science & Technology, business.industry, Developed Countries, Cutaneous Leishmaniasis, Infant, Newborn, Infant, Health outcomes, Newborn, medicine.disease, Comorbidity, Brain Disorders, years lived with disability, Good Health and Well Being, Disease, injury, incidence, prevalence, YLDs, GBD 2010, Chronic Disease, Wounds and Injuries, business, 2.4 Surveillance and distribution, Iron-deficiency, Demography
Abstract: Summary Background Up-to-date evidence about levels and trends in disease and injury incidence, prevalence, and years lived with disability (YLDs) is an essential input into global, regional, and national health policies. In the Global Burden of Disease Study 2013 (GBD 2013), we estimated these quantities for acute and chronic diseases and injuries for 188 countries between 1990 and 2013. Methods Estimates were calculated for disease and injury incidence, prevalence, and YLDs using GBD 2010 methods with some important refinements. Results for incidence of acute disorders and prevalence of chronic disorders are new additions to the analysis. Key improvements include expansion to the cause and sequelae list, updated systematic reviews, use of detailed injury codes, improvements to the Bayesian meta-regression method (DisMod-MR), and use of severity splits for various causes. An index of data representativeness, showing data availability, was calculated for each cause and impairment during three periods globally and at the country level for 2013. In total, 35 620 distinct sources of data were used and documented to calculated estimates for 301 diseases and injuries and 2337 sequelae. The comorbidity simulation provides estimates for the number of sequelae, concurrently, by individuals by country, year, age, and sex. Disability weights were updated with the addition of new population-based survey data from four countries. Findings Disease and injury were highly prevalent; only a small fraction of individuals had no sequelae. Comorbidity rose substantially with age and in absolute terms from 1990 to 2013. Incidence of acute sequelae were predominantly infectious diseases and short-term injuries, with over 2 billion cases of upper respiratory infections and diarrhoeal disease episodes in 2013, with the notable exception of tooth pain due to permanent caries with more than 200 million incident cases in 2013. Conversely, leading chronic sequelae were largely attributable to non-communicable diseases, with prevalence estimates for asymptomatic permanent caries and tension-type headache of 2·4 billion and 1·6 billion, respectively. The distribution of the number of sequelae in populations varied widely across regions, with an expected relation between age and disease prevalence. YLDs for both sexes increased from 537·6 million in 1990 to 764·8 million in 2013 due to population growth and ageing, whereas the age-standardised rate decreased little from 114·87 per 1000 people to 110·31 per 1000 people between 1990 and 2013. Leading causes of YLDs included low back pain and major depressive disorder among the top ten causes of YLDs in every country. YLD rates per person, by major cause groups, indicated the main drivers of increases were due to musculoskeletal, mental, and substance use disorders, neurological disorders, and chronic respiratory diseases; however HIV/AIDS was a notable driver of increasing YLDs in sub-Saharan Africa. Also, the proportion of disability-adjusted life years due to YLDs increased globally from 21·1% in 1990 to 31·2% in 2013. Interpretation Ageing of the world's population is leading to a substantial increase in the numbers of individuals with sequelae of diseases and injuries. Rates of YLDs are declining much more slowly than mortality rates. The non-fatal dimensions of disease and injury will require more and more attention from health systems. The transition to non-fatal outcomes as the dominant source of burden of disease is occurring rapidly outside of sub-Saharan Africa. Our results can guide future health initiatives through examination of epidemiological trends and a better understanding of variation across countries. Funding Bill & Melinda Gates Foundation. Background Up-to-date evidence about levels and trends in disease and injury incidence, prevalence, and years lived with disability (YLDs) is an essential input into global, regional, and national health policies. In the Global Burden of Disease Study 2013 (GBD 2013), we estimated these quantities for acute and chronic diseases and injuries for 188 countries between 1990 and 2013. Methods Estimates were calculated for disease and injury incidence, prevalence, and YLDs using GBD 2010 methods with some important refinements. Results for incidence of acute disorders and prevalence of chronic disorders are new additions to the analysis. Key improvements include expansion to the cause and sequelae list, updated systematic reviews, use of detailed injury codes, improvements to the Bayesian meta-regression method (DisMod-MR), and use of severity splits for various causes. An index of data representativeness, showing data availability, was calculated for each cause and impairment during three periods globally and at the country level for 2013. In total, 35 620 distinct sources of data were used and documented to calculated estimates for 301 diseases and injuries and 2337 sequelae. The comorbidity simulation provides estimates for the number of sequelae, concurrently, by individuals by country, year, age, and sex. Disability weights were updated with the addition of new population-based survey data from four countries. Findings Disease and injury were highly prevalent; only a small fraction of individuals had no sequelae. Comorbidity rose substantially with age and in absolute terms from 1990 to 2013. Incidence of acute sequelae were predominantly infectious diseases and short-term injuries, with over 2 billion cases of upper respiratory infections and diarrhoeal disease episodes in 2013, with the notable exception of tooth pain due to permanent caries with more than 200 million incident cases in 2013. Conversely, leading chronic sequelae were largely attributable to non-communicable diseases, with prevalence estimates for asymptomatic permanent caries and tension-type headache of 2·4 billion and 1·6 billion, respectively. The distribution of the number of sequelae in populations varied widely across regions, with an expected relation between age and disease prevalence. YLDs for both sexes increased from 537·6 million in 1990 to 764·8 million in 2013 due to population growth and ageing, whereas the age-standardised rate decreased little from 114·87 per 1000 people to 110·31 per 1000 people between 1990 and 2013. Leading causes of YLDs included low back pain and major depressive disorder among the top ten causes of YLDs in every country. YLD rates per person, by major cause groups, indicated the main drivers of increases were due to musculoskeletal, mental, and substance use disorders, neurological disorders, and chronic respiratory diseases; however HIV/AIDS was a notable driver of increasing YLDs in sub-Saharan Africa. Also, the proportion of disability-adjusted life years due to YLDs increased globally from 21·1% in 1990 to 31·2% in 2013. Interpretation Ageing of the world's population is leading to a substantial increase in the numbers of individuals with sequelae of diseases and injuries. Rates of YLDs are declining much more slowly than mortality rates. The non-fatal dimensions of disease and injury will require more and more attention from health systems. The transition to non-fatal outcomes as the dominant source of burden of disease is occurring rapidly outside of sub-Saharan Africa. Our results can guide future health initiatives through examination of epidemiological trends and a better understanding of variation across countries. Funding Bill & Melinda Gates Foundation.
Published: 2015

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

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

14. The burden of mental disorders in the eastern mediterranean region, 1990-2013

Author: Charara, R, Forouzanfar, M, Naghavi, M, Moradi-Lakeh, M, Afshin, A, Vos, T, Daoud, F, Wang, H, Bcheraoui, CE, Khalil, I, Hamadeh, RR, Khosravi, A, Rahimi-Movaghar, V, Khader, Y, Al-Hamad, N, Obermeyer, CM, Rafay, A, Asghar, R, Rana, SM, Shaheen, A, Abu-Rmeileh, NME, Husseini, A, Abu-Raddad, LJ, Khoja, T, Rayess, ZAA, AlBuhairan, FS, Hsairi, M, Alomari, MA, Ali, R, Roshandel, G, Terkawi, AS, Hamidi, S, Refaat, AH, Westerman, R, Kiadaliri, AA, Akanda, AS, Ali, SD, Bacha, U, Badawi, A, Bazargan-Hejazi, S, Faghmous, IAD, Fereshtehnejad, SM, Fischer, F, Jonas, JB, Defo, BK, Mehari, A, Omer, SB, Pourmalek, F, Uthman, OA, Mokdad, AA, Maalouf, FT, Abd-Allah, F, Akseer, N, Arya, D, Borschmann, R, Brazinova, A, Brugha, TS, Catala-Lopez, F, Degenhardt, L, Ferrari, A, Haro, JM, Horino, M, Hornberger, JC, Huang, H, Kieling, C, Kim, D, Kim, Y, Knudsen, AK, Mitchell, PB, Patton, G, Sagar, R, Satpathy, M, Savuon, K, Seedat, S, Shiue, I, Skogen, JC, Stein, DJ, Tabb, KM, Whiteford, HA, Yip, P, Yonemoto, N, Murray, CJL, Mokdad, AH, Charara, R, Forouzanfar, M, Naghavi, M, Moradi-Lakeh, M, Afshin, A, Vos, T, Daoud, F, Wang, H, Bcheraoui, CE, Khalil, I, Hamadeh, RR, Khosravi, A, Rahimi-Movaghar, V, Khader, Y, Al-Hamad, N, Obermeyer, CM, Rafay, A, Asghar, R, Rana, SM, Shaheen, A, Abu-Rmeileh, NME, Husseini, A, Abu-Raddad, LJ, Khoja, T, Rayess, ZAA, AlBuhairan, FS, Hsairi, M, Alomari, MA, Ali, R, Roshandel, G, Terkawi, AS, Hamidi, S, Refaat, AH, Westerman, R, Kiadaliri, AA, Akanda, AS, Ali, SD, Bacha, U, Badawi, A, Bazargan-Hejazi, S, Faghmous, IAD, Fereshtehnejad, SM, Fischer, F, Jonas, JB, Defo, BK, Mehari, A, Omer, SB, Pourmalek, F, Uthman, OA, Mokdad, AA, Maalouf, FT, Abd-Allah, F, Akseer, N, Arya, D, Borschmann, R, Brazinova, A, Brugha, TS, Catala-Lopez, F, Degenhardt, L, Ferrari, A, Haro, JM, Horino, M, Hornberger, JC, Huang, H, Kieling, C, Kim, D, Kim, Y, Knudsen, AK, Mitchell, PB, Patton, G, Sagar, R, Satpathy, M, Savuon, K, Seedat, S, Shiue, I, Skogen, JC, Stein, DJ, Tabb, KM, Whiteford, HA, Yip, P, Yonemoto, N, Murray, CJL, and Mokdad, AH
Abstract: © 2017 Charara 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. The Eastern Mediterranean Region (EMR) is witnessing an increase in chronic disorders, including mental illness. With ongoing unrest, this is expected to rise. This is the first study to quantify the burden of mental disorders in the EMR. We used data from the Global Burden of Disease study (GBD) 2013. DALYs (disability-adjusted life years) allow assessment of both premature mortality (years of life lost-YLLs) and nonfatal outcomes (years lived with disability-YLDs). DALYs are computed by adding YLLs and YLDs for each age-sex-country group. In 2013, mental disorders contributed to 5.6% of the total disease burden in the EMR (1894 DALYS/100,000 population): 2519 DALYS/100,000 (2590/100,000 males, 2426/100,000 females) in high-income countries, 1884 DALYS/100,000 (1618/100,000 males, 2157/100,000 females) in middle-income countries, 1607 DALYS/100,000 (1500/100,000 males, 1717/100,000 females) in low-income countries. Females had a greater proportion of burden due to mental disorders than did males of equivalent ages, except for those under 15 years of age. The highest proportion of DALYs occurred in the 25-49 age group, with a peak in the 35-39 years age group (5344 DALYs/100,000). The burden of mental disorders Burden of Mental Disorders in EMR PLOS ONE in EMR increased from 1726 DALYs/100,000 in 1990 to 1912 DALYs/100,000 in 2013 (10.8% increase). Within the mental disorders group in EMR, depressive disorders accounted for most DALYs, followed by anxiety disorders. Among EMR countries, Palestine had the largest burden of mental disorders. Nearly all EMR countries had a higher mental disorder burden compared to the global level. Our findings call for EMR ministries of health to increase provision of mental health
Published: 2017

15. The Burden of Mental Disorders in the Eastern Mediterranean Region, 1990-2013

Author: Maulik, PK, Charara, R, Forouzanfar, M, Naghavi, M, Moradi-Lakeh, M, Afshin, A, Vos, T, Daoud, F, Wang, H, El Bcheraoui, C, Khalil, I, Hamadeh, RR, Khosravi, A, Rahimi-Movaghar, V, Khader, Y, Al-Hamad, N, Obermeyer, CM, Rafay, A, Asghar, R, Rana, SM, Shaheen, A, Abu-Rmeileh, NME, Husseini, A, Abu-Raddad, LJ, Khoja, T, Al Rayess, ZA, AlBuhairan, FS, Hsairi, M, Alomari, MA, Ali, R, Roshandel, G, Terkawi, AS, Hamidi, S, Refaat, AH, Westerman, R, Kiadaliri, AA, Akanda, AS, Ali, SD, Bacha, U, Badawi, A, Bazargan-Hejazi, S, Faghmous, IAD, Fereshtehnejad, S-M, Fischer, F, Jonas, JB, Defo, BK, Mehari, A, Omer, SB, Pourmalek, F, Uthman, OA, Mokdad, AA, Maalouf, FT, Abd-Allah, F, Akseer, N, Arya, D, Borschmann, R, Brazinova, A, Brugha, TS, Catala-Lopez, F, Degenhardt, L, Ferrari, A, Maria Haro, J, Horino, M, Hornberger, JC, Huang, H, Kieling, C, Kim, D, Kim, Y, Knudsen, AK, Mitchell, PB, Patton, G, Sagar, R, Satpathy, M, Savuon, K, Seedat, S, Shiuem, I, Skogen, JC, Stein, DJ, Tabb, KM, Whitefored, HA, Yip, P, Yonemoto, N, Murray, CJL, Mokdad, AH, Maulik, PK, Charara, R, Forouzanfar, M, Naghavi, M, Moradi-Lakeh, M, Afshin, A, Vos, T, Daoud, F, Wang, H, El Bcheraoui, C, Khalil, I, Hamadeh, RR, Khosravi, A, Rahimi-Movaghar, V, Khader, Y, Al-Hamad, N, Obermeyer, CM, Rafay, A, Asghar, R, Rana, SM, Shaheen, A, Abu-Rmeileh, NME, Husseini, A, Abu-Raddad, LJ, Khoja, T, Al Rayess, ZA, AlBuhairan, FS, Hsairi, M, Alomari, MA, Ali, R, Roshandel, G, Terkawi, AS, Hamidi, S, Refaat, AH, Westerman, R, Kiadaliri, AA, Akanda, AS, Ali, SD, Bacha, U, Badawi, A, Bazargan-Hejazi, S, Faghmous, IAD, Fereshtehnejad, S-M, Fischer, F, Jonas, JB, Defo, BK, Mehari, A, Omer, SB, Pourmalek, F, Uthman, OA, Mokdad, AA, Maalouf, FT, Abd-Allah, F, Akseer, N, Arya, D, Borschmann, R, Brazinova, A, Brugha, TS, Catala-Lopez, F, Degenhardt, L, Ferrari, A, Maria Haro, J, Horino, M, Hornberger, JC, Huang, H, Kieling, C, Kim, D, Kim, Y, Knudsen, AK, Mitchell, PB, Patton, G, Sagar, R, Satpathy, M, Savuon, K, Seedat, S, Shiuem, I, Skogen, JC, Stein, DJ, Tabb, KM, Whitefored, HA, Yip, P, Yonemoto, N, Murray, CJL, and Mokdad, AH
Abstract: The Eastern Mediterranean Region (EMR) is witnessing an increase in chronic disorders, including mental illness. With ongoing unrest, this is expected to rise. This is the first study to quantify the burden of mental disorders in the EMR. We used data from the Global Burden of Disease study (GBD) 2013. DALYs (disability-adjusted life years) allow assessment of both premature mortality (years of life lost-YLLs) and nonfatal outcomes (years lived with disability-YLDs). DALYs are computed by adding YLLs and YLDs for each age-sex-country group. In 2013, mental disorders contributed to 5.6% of the total disease burden in the EMR (1894 DALYS/100,000 population): 2519 DALYS/100,000 (2590/100,000 males, 2426/100,000 females) in high-income countries, 1884 DALYS/100,000 (1618/100,000 males, 2157/100,000 females) in middle-income countries, 1607 DALYS/100,000 (1500/100,000 males, 1717/100,000 females) in low-income countries. Females had a greater proportion of burden due to mental disorders than did males of equivalent ages, except for those under 15 years of age. The highest proportion of DALYs occurred in the 25-49 age group, with a peak in the 35-39 years age group (5344 DALYs/100,000). The burden of mental disorders in EMR increased from 1726 DALYs/100,000 in 1990 to 1912 DALYs/100,000 in 2013 (10.8% increase). Within the mental disorders group in EMR, depressive disorders accounted for most DALYs, followed by anxiety disorders. Among EMR countries, Palestine had the largest burden of mental disorders. Nearly all EMR countries had a higher mental disorder burden compared to the global level. Our findings call for EMR ministries of health to increase provision of mental health services and to address the stigma of mental illness. Moreover, our results showing the accelerating burden of mental health are alarming as the region is seeing an increased level of instability. Indeed, mental health problems, if not properly addressed, will lead to an increased burden of diseases
Published: 2017

16. Global and National Burden of Diseases and Injuries Among Children and Adolescents Between 1990 and 2013 Findings From the Global Burden of Disease 2013 Study

Author: Kyu, HH, Pinho, C, Wagner, JA, Brown, JC, Bertozzi-Villa, A, Charlson, FJ, Coffeng, LE, Dandona, L, Erskine, HE, Ferrari, AJ, Fitzmaurice, C, Fleming, TD, Forouzanfar, MH, Graetz, N, Guinovart, C, Haagsma, J, Higashi, H, Kassebaum, NJ, Larson, HJ, Lim, SS, Mokdad, AH, Moradi-Lakeh, M, Odell, SV, Roth, GA, Serina, PT, Stanaway, JD, Misganaw, A, Whiteford, HA, Wolock, TM, Hanson, SW, Abd-Allah, F, Abera, SF, Abu-Raddad, LJ, AlBuhairan, FS, Amare, AT, Antonio, CAT, Artaman, A, Barker-Collo, SL, Barrero, LH, Benjet, C, Bensenor, IM, Bhutta, ZA, Bikbov, B, Brazinova, A, Campos-Nonato, I, Castaneda-Orjuela, CA, Catala-Lopez, F, Chowdhury, R, Cooper, C, Crump, JA, Dandona, R, Degenhardt, L, Dellavalle, RP, Dharmaratne, SD, Faraon, EJA, Feigin, VL, Fuerst, T, Geleijnse, JM, Gessner, BD, Gibney, KB, Goto, A, Gunnell, D, Hankey, GJ, Hay, RJ, Hornberger, JC, Hosgood, HD, Hu, G, Jacobsen, KH, Jayaraman, SP, Jeemon, P, Jonas, JB, Karch, A, Kim, D, Kim, S, Kokubo, Y, Defo, BK, Bicer, BK, Kumar, GA, Larsson, A, Leasher, JL, Leung, R, Li, Y, Lipshultz, SE, Lopez, AD, Lotufo, PA, Lunevicius, R, Lyons, RA, Majdan, M, Malekzadeh, R, Mashal, T, Mason-Jones, AJ, Melaku, YA, Memish, ZA, Mendoza, W, Miller, TR, Mock, CN, Murray, J, Nolte, S, Oh, I-H, Olusanya, BO, Ortblad, KF, Park, E-K, Paternina Caicedo, AJ, Patten, SB, Patton, GC, Pereira, DM, Perico, N, Piel, FB, Polinder, S, Popova, S, Pourmalek, F, Quistberg, DA, Remuzzi, G, Rodriguez, A, Rojas-Rueda, D, Rothenbacher, D, Rothstein, DH, Sanabria, J, Santos, IS, Schwebel, DC, Sepanlou, SG, Shaheen, A, Shiri, R, Shiue, I, Skirbekk, V, Sliwa, K, Sreeramareddy, CT, Stein, DJ, Steiner, TJ, Stovner, LJ, Sykes, BL, Tabb, KM, Terkawi, AS, Thomson, AJ, Thorne-Lyman, AL, Towbin, JA, Ukwaja, KN, Vasankari, T, Venketasubramanian, N, Vlassov, VV, Vollset, SE, Weiderpass, E, Weintraub, RG, Werdecker, A, Wilkinson, JD, Woldeyohannes, SM, Wolfe, CDA, Yano, Y, Yip, P, Yonemoto, N, Yoon, S-J, Younis, MZ, Yu, C, Zaki, MES, Naghavi, M, Murray, CJL, Vos, T, Kyu, HH, Pinho, C, Wagner, JA, Brown, JC, Bertozzi-Villa, A, Charlson, FJ, Coffeng, LE, Dandona, L, Erskine, HE, Ferrari, AJ, Fitzmaurice, C, Fleming, TD, Forouzanfar, MH, Graetz, N, Guinovart, C, Haagsma, J, Higashi, H, Kassebaum, NJ, Larson, HJ, Lim, SS, Mokdad, AH, Moradi-Lakeh, M, Odell, SV, Roth, GA, Serina, PT, Stanaway, JD, Misganaw, A, Whiteford, HA, Wolock, TM, Hanson, SW, Abd-Allah, F, Abera, SF, Abu-Raddad, LJ, AlBuhairan, FS, Amare, AT, Antonio, CAT, Artaman, A, Barker-Collo, SL, Barrero, LH, Benjet, C, Bensenor, IM, Bhutta, ZA, Bikbov, B, Brazinova, A, Campos-Nonato, I, Castaneda-Orjuela, CA, Catala-Lopez, F, Chowdhury, R, Cooper, C, Crump, JA, Dandona, R, Degenhardt, L, Dellavalle, RP, Dharmaratne, SD, Faraon, EJA, Feigin, VL, Fuerst, T, Geleijnse, JM, Gessner, BD, Gibney, KB, Goto, A, Gunnell, D, Hankey, GJ, Hay, RJ, Hornberger, JC, Hosgood, HD, Hu, G, Jacobsen, KH, Jayaraman, SP, Jeemon, P, Jonas, JB, Karch, A, Kim, D, Kim, S, Kokubo, Y, Defo, BK, Bicer, BK, Kumar, GA, Larsson, A, Leasher, JL, Leung, R, Li, Y, Lipshultz, SE, Lopez, AD, Lotufo, PA, Lunevicius, R, Lyons, RA, Majdan, M, Malekzadeh, R, Mashal, T, Mason-Jones, AJ, Melaku, YA, Memish, ZA, Mendoza, W, Miller, TR, Mock, CN, Murray, J, Nolte, S, Oh, I-H, Olusanya, BO, Ortblad, KF, Park, E-K, Paternina Caicedo, AJ, Patten, SB, Patton, GC, Pereira, DM, Perico, N, Piel, FB, Polinder, S, Popova, S, Pourmalek, F, Quistberg, DA, Remuzzi, G, Rodriguez, A, Rojas-Rueda, D, Rothenbacher, D, Rothstein, DH, Sanabria, J, Santos, IS, Schwebel, DC, Sepanlou, SG, Shaheen, A, Shiri, R, Shiue, I, Skirbekk, V, Sliwa, K, Sreeramareddy, CT, Stein, DJ, Steiner, TJ, Stovner, LJ, Sykes, BL, Tabb, KM, Terkawi, AS, Thomson, AJ, Thorne-Lyman, AL, Towbin, JA, Ukwaja, KN, Vasankari, T, Venketasubramanian, N, Vlassov, VV, Vollset, SE, Weiderpass, E, Weintraub, RG, Werdecker, A, Wilkinson, JD, Woldeyohannes, SM, Wolfe, CDA, Yano, Y, Yip, P, Yonemoto, N, Yoon, S-J, Younis, MZ, Yu, C, Zaki, MES, Naghavi, M, Murray, CJL, and Vos, T
Abstract: IMPORTANCE: The literature focuses on mortality among children younger than 5 years. Comparable information on nonfatal health outcomes among these children and the fatal and nonfatal burden of diseases and injuries among older children and adolescents is scarce. OBJECTIVE: To determine levels and trends in the fatal and nonfatal burden of diseases and injuries among younger children (aged <5 years), older children (aged 5-9 years), and adolescents (aged 10-19 years) between 1990 and 2013 in 188 countries from the Global Burden of Disease (GBD) 2013 study. EVIDENCE REVIEW: Data from vital registration, verbal autopsy studies, maternal and child death surveillance, and other sources covering 14,244 site-years (ie, years of cause of death data by geography) from 1980 through 2013 were used to estimate cause-specific mortality. Data from 35,620 epidemiological sources were used to estimate the prevalence of the diseases and sequelae in the GBD 2013 study. Cause-specific mortality for most causes was estimated using the Cause of Death Ensemble Model strategy. For some infectious diseases (eg, HIV infection/AIDS, measles, hepatitis B) where the disease process is complex or the cause of death data were insufficient or unavailable, we used natural history models. For most nonfatal health outcomes, DisMod-MR 2.0, a Bayesian metaregression tool, was used to meta-analyze the epidemiological data to generate prevalence estimates. FINDINGS: Of the 7.7 (95% uncertainty interval [UI], 7.4-8.1) million deaths among children and adolescents globally in 2013, 6.28 million occurred among younger children, 0.48 million among older children, and 0.97 million among adolescents. In 2013, the leading causes of death were lower respiratory tract infections among younger children (905.059 deaths; 95% UI, 810,304-998,125), diarrheal diseases among older children (38,325 deaths; 95% UI, 30,365-47,678), and road injuries among adolescents (115,186 deaths; 95% UI, 105,185-124,870). Iron defici
Published: 2016

17. The global burden of injury: incidence, mortality, disability-adjusted life years and time trends from the Global Burden of Disease study 2013

Author: Haagsma, Juanita, Graetz, N, Bolliger, I, Naghavi, M, Higashi, H, Mullany, EC, Abera, SF, Abraham, JP, Adofo, K, Alsharif, U, Ameh, EA, Ammar, W, Antonio, CAT, Barrero, LH, Bekele, T, Bose, D, Brazinova, A, Catala-Lopez, F, Dandona, L, Dandona, R, Dargan, PI, De Leo, D, Degenhardt, L, Derrett, S, Dharmaratne, SD, Driscoll, TR, Duan, L, Ermakov, SP, Farzadfar, F, Feigin, VL, Franklin, RC, Gabbe, B, Gosselin, RA, Hafezi-Nejad, N, Hamadeh, RR, Hijar, M, Hu, GQ, Jayaraman, SP, Jiang, GH, Khader, YS, Khan, EA, Krishnaswami, S, Kulkarni, C, Lecky, FE, Leung, R, Lunevicius, R, Lyons, RA, Majdan, M, Mason-Jones, AJ, Matzopoulos, R, Meaney, PA, Mekonnen, W, Miller, TR, Mock, CN, Norman, RE, Orozco, R, Polinder, Suzanne, Pourmalek, F, Rahimi-Movaghar, V, Refaat, A, Rojas-Rueda, D, Roy, N, Schwebel, DC, Shaheen, A, Shahraz, S, Skirbekk, V, Soreide, K, Soshnikov, S, Stein, DJ, Sykes, BL, Tabb, KM, Temesgen, AM, Tenkorang, EY, Theadom, AM, Tran, BX, Vasankari, TJ, Vavilala, MS, Vlassov, VV, Woldeyohannes, SM, Yip, P, Yonemoto, N, Younis, MZ, Yu, CH, Murray, CJL, Vos, T, Haagsma, Juanita, Graetz, N, Bolliger, I, Naghavi, M, Higashi, H, Mullany, EC, Abera, SF, Abraham, JP, Adofo, K, Alsharif, U, Ameh, EA, Ammar, W, Antonio, CAT, Barrero, LH, Bekele, T, Bose, D, Brazinova, A, Catala-Lopez, F, Dandona, L, Dandona, R, Dargan, PI, De Leo, D, Degenhardt, L, Derrett, S, Dharmaratne, SD, Driscoll, TR, Duan, L, Ermakov, SP, Farzadfar, F, Feigin, VL, Franklin, RC, Gabbe, B, Gosselin, RA, Hafezi-Nejad, N, Hamadeh, RR, Hijar, M, Hu, GQ, Jayaraman, SP, Jiang, GH, Khader, YS, Khan, EA, Krishnaswami, S, Kulkarni, C, Lecky, FE, Leung, R, Lunevicius, R, Lyons, RA, Majdan, M, Mason-Jones, AJ, Matzopoulos, R, Meaney, PA, Mekonnen, W, Miller, TR, Mock, CN, Norman, RE, Orozco, R, Polinder, Suzanne, Pourmalek, F, Rahimi-Movaghar, V, Refaat, A, Rojas-Rueda, D, Roy, N, Schwebel, DC, Shaheen, A, Shahraz, S, Skirbekk, V, Soreide, K, Soshnikov, S, Stein, DJ, Sykes, BL, Tabb, KM, Temesgen, AM, Tenkorang, EY, Theadom, AM, Tran, BX, Vasankari, TJ, Vavilala, MS, Vlassov, VV, Woldeyohannes, SM, Yip, P, Yonemoto, N, Younis, MZ, Yu, CH, Murray, CJL, and Vos, T
Abstract: Background The Global Burden of Diseases (GBD), Injuries, and Risk Factors study used the disability-adjusted life year (DALY) to quantify the burden of diseases, injuries, and risk factors. This paper provides an overview of injury estimates from the 2013 update of GBD, with detailed information on incidence, mortality, DALYs and rates of change from 1990 to 2013 for 26 causes of injury, globally, by region and by country. Methods Injury mortality was estimated using the extensive GBD mortality database, corrections for ill-defined cause of death and the cause of death ensemble modelling tool. Morbidity estimation was based on inpatient and outpatient data sets, 26 cause-of-injury and 47 nature-of-injury categories, and seven follow-up studies with patient-reported long-term outcome measures. Results In 2013, 973 million (uncertainty interval (UI) 942 to 993) people sustained injuries that warranted some type of healthcare and 4.8 million (UI 4.5 to 5.1) people died from injuries. Between 1990 and 2013 the global age-standardised injury DALY rate decreased by 31% (UI 26% to 35%). The rate of decline in DALY rates was significant for 22 cause-of-injury categories, including all the major injuries. Conclusions Injuries continue to be an important cause of morbidity and mortality in the developed and developing world. The decline in rates for almost all injuries is so prominent that it warrants a general statement that the world is becoming a safer place to live in. However, the patterns vary widely by cause, age, sex, region and time and there are still large improvements that need to be made.
Published: 2016

18. 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., Rashedi, V., Kumar, V., Elgendy, I.Y., Basu, S., Park, J., Pereira, A., Norheim, O.F., Eagan, A.W., Cahill, L.E., Sheikh, A., Abushouk, A.I., Kraemer, M.U.G., Thakur, B., Bärnighausen, T.W., Shrime, M.G., Abedi, A., Doshi, C.P., Abegaz, K.H., Geberemariyam, B.S., Aynalem, Y.A., Shiferaw, W.S., Abosetugn, A.E., Aboyans, V., Abrams, E.M., Gitimoghaddam, M., Kissoon, N., Stubbs, J.L., Brauer, M., Iyamu, I.O., Kopec, J.A., Pourmalek, F., Ribeiro, A.P., Malta, D.C., Gomez, R.S., Abreu, L.G., Abrigo, M.R.M., Almulhim, A.M., Dahlawi, S.M.A., Pottoo, F.H., Menezes, R.G., Alanzi, T.M., Alumran, A.K., Abu Haimed, A.K., Madadin, M., Alanezi, F.M., Abu-Gharbieh, E., Saddik, B., Abu-Raddad, L.J., Samy, A.M., El Nahas, N., Shalash, A.S., Nabhan, A.F., Kamath, A.M., Kassebaum, N.J., Aravkin, A.Y., Kochhar, S., Sorensen, R.J.D., Afshin, A., Burkart, K., Cromwell, E.A., Dandona, L., Dharmaratne, S.D., Gakidou, E., Hay, S.I., Kyu, H.H., Lopez, A.D., Lozano, R., Misganaw, A.T., Mokdad, A.H., Naghavi, M., Pigott, D.M., Reiner Jr, R.C., Roth, G.A., Stanaway, J.D., Vollset, S., Vos, T., Wang, H., Lim, S.S., Murray, C.J.L., Kalani, R., Ikuta, K.S., Cho, D.Y., Kneib, C.J., Crowe, C.S., Massenburg, B.B., Morrison, S.D., Acebedo, A., Adelson, J.D., Agesa, K.M., Alam, T., Albertson, S.B., Anderson, J.A., Antony, C.M., Ashbaugh, C., Assmus, M., Azhar, G., Balassyano, S., Bannick, M.S., Barthelemy, C.M., Bender, R.G., Bennitt, F.B., Bertolacci, G.J., Biehl, M.H., Bisignano, C., Boon-Dooley, A.S., Briant, P.S., Bryazka, D., Bumgarner, B.R., Callender, C.S., Cao, J., Castle, C.D., Castro, E., Causey, K., Cercy, K.M., Chalek, J., Charlson, F.J., Cohen, A.J., Comfort, H., Compton, K., Croneberger, A.J., Cruz, J.A., Cunningham, M., Dandona, R., Dangel, W.J., Dean, F.E., DeCleene, N.K., Deen, A., Degenhardt, L., Dingels, Z.V., Dippenaar, I.N., Dirac, M.A., Dolgert, A.J., Emmons-Bell, S., Estep, K., Farag, T., Feigin, V.L., Feldman, R., Ferrara, G., Ferrari, A.J., Fitzgerald, R., Force, L.M., Fox, J.T., Frank, T.D., Fu, W., Fukutaki, K., Fuller, J.E., Fullman, N., Galles, N.C., Gardner, W.M., Gershberg Hayoon, A., Goren, E., Gorman, T.M., Gottlich, H.C., Guo, G., Haddock, B., Hagins, H., Haile, L.M., Hamilton, E.B., Han, C., Han, H., Harvey, J.D., Henny, K., Henrikson, H.J., Henry, N.J., Herbert, M.E., Hsiao, T., Huynh, C.K., Iannucci, V.C., Ippolito, H., Irvine, C.M.S., Jafari, H., Jahagirdar, D., James, S.L., Johnson, C.O., Johnson, S.C., Keller, C., Kemmer, L., Kendrick, P.J., Knight, M., Kocarnik, J.M., Krohn, K.J., Larson, S.L., Lau, K.M., Ledesma, J.R., Leever, A.T., LeGrand, K.E., Lescinsky, H., Lin, C., Liu, H., Liu, Z., Lo, J., Lu, A., Ma, J., Maddison, E.R., Manguerra, H., Marks, A., Martopullo, I., Mastrogiacomo, C.I., May, E.A., Mooney, M.D., Mosser, J.F., Mullany, E.C., Mumford, J., Munro, S.B., Nandakumar, V., Nguyen, J., Nguyen, M., Nichols, E., Nixon, M.R., Odell, C.M., Ong, K.L., Orji, A.U., Ostroff, S.M., Pasovic, M., Paulson, K.R., Pease, S.A., Pennini, A., Pierce, M., Pilz, T.M., Pletcher, M., Rao, P.C., Razo, C., Redford, S.B., Reinig, N., Reitsma, M.B., Rhinehart, P., Robalik, T., Roberts, S., Roberts, N.L.S., Rolfe, S., Sbarra, A.N., Schaeffer, L.E., Shackelford, K.A., Shadid, J., Sharara, F., Shaw, D.H., Sheena, B.S., Simpson, K.E., Smith, A., Spencer, C.N., Spurlock, E.E., Stark, B.A., Steiner, C., Steuben, K.M., Sylte, D.O., Tang, M., Taylor, H.J., Terrason, S., Thomson, A.M., Torre, A.E., Travillian, R., Troeger, C.E., Vongpradith, A., Walters, M.K., Wang, J., Watson, A., Watson, S., Whisnant, J.L., Whiteford, H.A., Wiens, K.E., Wilner, L.B., Wilson, S., Wool, E.E., Wozniak, S.S., Wu, J., Wulf Hanson, S., Wunrow, H., Xu, R., Yadgir, S., Yearwood, J.A., York, H.W., Yuan, C., Zhao, J.T., Zheng, P., Zimsen, S.R.M., Zlavog, B.S., Chang, A.Y., Oren, E., Buchbinder, R., Chin, K.L., Guo, Y., Polkinghorne, K.R., Thrift, A.G., Lee, S.W.H., Ackerman, I.N., Cicuttini, F.M., Li, S., Zaman, S., Suleria, H., Zhang, J., Cowie, B.C., Wijeratne, T., Patton, G.C., Sawyer, S.M., Adair, T., Meretoja, A., Adetokunboh, O.O., Adamu, A.A., Iwu, C.J., Parry, C.D.H., Seedat, S., Ndwandwe, D.E., Mahasha, P.W., Stein, D.J., Nnaji, C.A., Sambala, E.Z., Wiysonge, C.S., Adebayo, O.M., Ilesanmi, O.S., Owolabi, M.O., Adeoye, A.M., Adedeji, I.A., Adekanmbi, V., Ibitoye, S.E., John-Akinola, Y.O., Oluwasanu, M.M., Oghenetega, O.B., Akinyemi, R.O., Zandian, H., Adham, D., Zahirian Moghadam, T., Advani, S.M., Teagle, W.L., Braithwaite, D., Agasthi, P., Saadatagah, S., Afshari, M., Agardh, E.E., Allebeck, P., Danielsson, A., Deuba, K., Carrero, J.J., Mohammad, D.K., Fereshtehnejad, S., Ärnlöv, J., Nowak, C., Cederroth, C.R., Ahmadi, A., Pathak, A., Mills, E.J., Kurmi, O.P., Olagunju, A.T., Agarwal, G., Sathish, T., Aghaali, M., Mohammadbeigi, A., Agrawal, A., Ahmad, T., Ahmadi, K., Maleki, S., Naderi, M., Salahshoor, M.R., Pourmirza Kalhori, R., Almasi, A., Salimi, Y., Siabani, S., Ziapour, A., Barzegar, A., Khazaie, H., Kianipour, N., Amiri, F., 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Mokari, Amin, Mokdad, Ali H, Momen, Natalie C, Monasta, Lorenzo, Mooney, Meghan D, Moradi, Ghobad, Moradi, Masoud, Moradi-Joo, Mohammad, Moradi-Lakeh, Maziar, Moradzadeh, Rahmatollah, Moraga, Paula, Moreno Velásquez, Ilai, Morgado-da-Costa, Joana, Morrison, Shane Dougla, Mosser, Jonathan F, Mouodi, Simin, Mousavi, Seyyed Meysam, Mousavi Khaneghah, Amin, Mueller, Ulrich Otto, Musa, Kamarul Imran, Muthupandian, Saravanan, Nabavizadeh, Behnam, Naderi, Mehdi, Nagarajan, Ahamarshan Jayaraman, Naghavi, Mohsen, Naghshtabrizi, Behshad, Naik, Gurudatta, Najafi, Farid, Nangia, Vinay, Nansseu, Jobert Richie, Ndwandwe, Duduzile Edith, Negoi, Ionut, Negoi, Ruxandra Irina, Ngunjiri, Josephine W, Nguyen, Huong Lan Thi, Nguyen, Trang Huyen, Nigatu, Yeshambel T, Nikbakhsh, Rajan, Nikpoor, Amin Reza, Nixon, Molly R, Nnaji, Chukwudi A, Nomura, Shuhei, Noubiap, Jean Jacque, Nouraei Motlagh, Soraya, Nowak, Christoph, Oţoiu, Adrian, Odell, Christopher M, Oh, In-Hwan, Oladnabi, Morteza, Olagunju, Andrew T, 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

19. 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

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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, 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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

20. Global, regional, and national levels and causes of maternal mortality during 1990-2013: A systematic analysis for the Global Burden of Disease Study 2013

Author: Carl Abelardo T. Antonio, Rob E. Dorrington, Belinda K Lloyd, Elisabete Weiderpass, Kovin Naidoo, Leslie T. Cooper, Sandra Nolte, Eduardo A. Undurraga, Mohammad A. AlMazroa, R. Kumar, Xiaofeng Liang, Amanda J. Mason-Jones, Kazem Rahimi, Sanjay Basu, Vasiliy Victorovich Vlassov, André Karch, Dipan Bose, Vivekanand Jha, Adansi A. Amankwaa, Kaire Innos, Ione Jayce Ceola Schneider, Itamar S. Santos, Anwar Rafay, Bolajoko O. Olusanya, Tommi Vasankari, Nana Kwaku Mainoo, Saleem M Rana, Wagner Marcenes, Fortuné Gbètoho Gankpé, Rana J. Asghar, Lela Sturua, Nicholas J K Breitborde, Corine Karema, Charles R. Newton, Uche S. Uchendu, Jongmin Lee, Inga Dora Sigfusdottir, Harish Chander Gugnani, Kaushalendra Kumar, Reza Assadi, Ibrahim Abubakar, Konstantinos Stroumpoulis, Megan Coggeshall, Timothy M. Wolock, Ronny Westerman, Samath D Dharmaratne, Katya Anne Shackelford, Anders Larsson, Jeffrey A. Towbin, Jixiang Ma, Lynne Gaffikin, Konstantin Kazanjan, Mohammad Ali Sahraian, Mohammad H. Forouzanfar, Yichong Li, Felix Sayinzoga, Daniel Dicker, Philimon Gona, Maurice Giroud, Maysaa El Sayed Zaki, Shiwei Liu, Lorenzo Monasta, Chantal Huynh, Abdullatif Husseini, Ted R. Miller, Solomon Meseret Woldeyohannes, D. Alex Quistberg, Justin Beardsley, Majed Asad, Uʇur Dilmen, Alaa Badawi, Hsien-Ho Lin, Haidong Kan, Vinod K. Paul, Mitsuru Mukaigawara, James Leigh, Xiao Nong Zou, Sajjad Ur Rahman, Valentina Arsić Arsenijević, Gokalp Kadri Yentur, Man Mohan Mehndiratta, Murugesan Raju, Stephanie J. London, Kingsley N. Ukwaja, Young-Ho Khang, Knud Juel, Mohsen Naghavi, Rasmus Havmoeller, Gelin Xu, Semaw Ferede Abera, Devina Nand, Norito Kawakami, Neil Pearce, Elisabeth Barboza França, Ferrán Catalá-López, Ketevan Goginashvili, Vegard Skirbekk, Neeraj Bedi, Barthelemy Kuate Defo, Andrew H. Kemp, H. Dean Hosgood, Vafa Rahimi-Movaghar, Konrad Pesudovs, Linhong Wang, Xiao Rong Wang, Alan D. Lopez, Ademola Lukman Adelekan, Joshua A. Salomon, Walter Mendoza, Aref A. Bin Abdulhak, Ivy Shiue, G Anil Kumar, Yuichiro Yano, Luke D. Knibbs, Jung-Chen Chang, Yousef Khader, Caitlyn Steiner, Selen Begüm Uzun, Luciano A. Sposato, Gabrielle deVeber, Raghib Ali, Andre Pascal Kengne, Chakib Nejjari, Rafael Alfonso-Cristancho, Tania Georgina Sánchez Pimienta, Roberto Tchio Talongwa, Hilda L Harb, Ali H. Mokdad, Edward J Mills, Angel J Paternina Caicedo, Xiaohong Li, Luke Nyakarahuka, Diego De Leo, Rashmi Gupta, Robert G. Weintraub, Tim Driscoll, Sun Ha Jee, Carolina Maria Teixeira, Ole Frithjof Norheim, Zulfiqar A Bhutta, Hwashin Hyun Shin, Palwasha Anwari, Daniel Pope, Hassan Amini, Jae-Hyun Park, Saad B. Omer, Eric L. Ding, Narayanaswamy Venketasubramanian, Juan Liang, Tara Templin, Arindam Basu, Farshad Farzadfar, Yang Yang, Xuan Che, Scott Weichenthal, Jeyaraj D Pandian, David L. Tirschwell, Adrian Davis, Hilton Lam, Feng Tan, Stephen S Lim, Soewarta Kosen, Atsushi Goto, Ratilal Lalloo, Yanping Wang, Glen Mola, Paulo A. Lotufo, Dhruv S. Kazi, Jose C. Adsuar, Amany H Refaat, Ruben Castro, Gene F. Kwan, Johanna M. Geleijnse, Emerito Jose A. Faraon, Costas A. Christophi, Theo Vos, Sara Sheikhbahaei, Guilherme V. Polanczyk, Jed D. Blore, Azmeraw T. Amare, Kyle R. Heuton, Walid Ammar, Louisa Degenhardt, Andrew Vallely, Guohong Jiang, Ricky Leung, Jasvinder A. Singh, Zewdie Aderaw Alemu, A Artaman, Steven E. Lipshultz, Carlos A Castañeda-Orjuela, Seyed-Mohammad Fereshtehnejad, Sadaf G. Sepanlou, Mark J. Nieuwenhuijsen, John Q. Wong, Manami Inoue, Coen H. Van Gool, James D. Wilkinson, Ejaz Ahmad Khan, Yoshihiro Kokubo, Manuela Mendonca Felicio, Farshad Pourmalek, Boris I. Pavlin, Karen Sliwa, Robert G. Nelson, Tom Achoki, Edmond K. Kabagambe, Orish Ebere Orisakwe, Christopher J L Murray, In-Hwan Oh, Uchechukwu K.A. Sampson, Ulrich O Mueller, Austin E Schumacher, Edson Serván-Mori, Berrak Bora Basara, Simon I. Hay, Anil Kaul, Foad Abd-Allah, Takayoshi Ohkubo, Kim Yun Jin, Abdullah Sulieman Terkawi, Mall Leinsalu, Sergei Petrovich Ermakov, Marek Majdan, Ileana B. Heredia Pi, Christina Papachristou, Scott B. Patten, Rajeev Gupta, Kalpana Balakrishnan, Mustafa Z. Younis, Kenji Shibuya, Graça Maria Ferreira De Lima, Andrea P. Silva, Maziar Moradi-Lakeh, Anand Dayama, Eiman Jahangir, Stefan Ma, Karen M. Tabb, Nicholas J Kassebaum, Shams Eldin Ali Hassan Khalifa, Mazin J. Al Kahbouri, Nadim E. Karam, Jun Zhu, Chandrashekhar T Sreeramareddy, Dinorah González-Castell, Diego Gonzalez-Medina, Aliya Naheed, Ryan M Barber, Salvador Villalpando, Yang Liu, Chanda Kulkarni, Vinay Nangia, Haidong Wang, Yongmei Li, Rosario Cárdenas, Randah R. Hamadeh, Suzanne Polinder, Van C. Lansingh, François Alla, Max Petzold, Bryan L. Sykes, Ubai Alsharif, Chuanhua Yu, Francesco Saverio Violante, Monika Sawhney, Ayse Abbasoglu Ozgoren, Graeme J. Hankey, Mouhanad Hammami, Iuri da Costa Leite, Dickens Akena, Rintaro Mori, Alanur Çavlin, Maia Kereselidze, Jonathan de la Cruz Monis, Deena Alasfoor, Taavi Lai, Eric Y. Tenkorang, Cyrus Cooper, Sudan Prasad Neupane, Dan Poenaru, Veena S. Kulkarni, Naohiro Yonemoto, Elizabeth Glaser, Sergey Soshnikov, Ziad A. Memish, Paul N. Jensen, Fabiola Mejía-Rodríguez, Ana C. Garcia, Rakhi Dandona, Emilie Agardh, Katherine B Gibney, Vasco Manuel Pedro Machado, Michelle L. Bell, David M. Pereira, Muluemebet Abera Wordofa, Samantha M. Colquhoun, Elena Alvarez, Stephen G. Waller, Ketevan Gambashidze, Eduardo Bernabé, Rafael Lozano, Damian G Hoy, Miltiadis K. Tsilimbaris, Hebe N. Gouda, Muhammad Imran Nisar, Zanfina Ademi, Andrew L. Thorne-Lyman, Denis Nash, Dima M. Qato, Luca Ronfani, Nobhojit Roy, Donald H. Silberberg, Monica S. Vavilala, Lydia S. Atkins, Hans W. Hoek, Muluken Dessalegn, David C. Schwebel, Christopher C. Mapoma, Jost B. Jonas, Tolesa Bekele, Lalit Dandona, Borja del Pozo-Cruz, Sumeet S. Chugh, Johan Ärnlöv, Tariku Jibat Beyene, Melvin Barrientos Marzan, Ami R. Moore, Marie Ng, Maigeng Zhou, Samia Alhabib, Massimo Cirillo, Soraya Seedat, Paul S. F. Yip, Nima Hafezi-Nejad, Amelia Bertozzi-Villa, Kebede Deribe, John Nelson Opio, Peter J. Allen, Marina Shakh-Nazarova, Bach Xuan Tran, Arsène Kouablan Adou, Yingfeng Zheng, Julio Cesar Montañez Hernandez, Yong Zhao, Nelson Alvis-Guzman, Bulat Idrisov, Alireza Esteghamati, Seok Jun Yoon, Kathryn H. Jacobsen, Kassebaum, Nicholas J., Bertozzi-Villa, Amelia, Coggeshall, Megan S., Shackelford, Katya A., Steiner, Caitlyn, Heuton, Kyle R., Gonzalez-Medina, Diego, Barber, Ryan, Huynh, Chantal, Dicker, Daniel, Templin, Tara, Wolock, Timothy M., Ozgoren, Ayse Abbasoglu, Abd-Allah, Foad, Abera, Semaw Ferede, Abubakar, Ibrahim, Achoki, Tom, Adelekan, Ademola, Ademi, Zanfina, Adou, Arsène Kouablan, Adsuar, José C., Agardh, Emilie E., Akena, Dicken, Alasfoor, Deena, Alemu, Zewdie Aderaw, Alfonso-Cristancho, Rafael, Alhabib, Samia, Ali, Raghib, Al Kahbouri, Mazin J., Alla, Françoi, Allen, Peter J., Almazroa, Mohammad A., Alsharif, Ubai, Alvarez, Elena, Alvis-Guzmán, Nelson, Amankwaa, Adansi A., Amare, Azmeraw T., Amini, Hassan, Ammar, Walid, Antonio, Carl A.T., Anwari, Palwasha, Ärnlöv, Johan, Arsenijevic, Valentina S. Arsic, Artaman, Ali, Asad, Majed Masoud, Asghar, Rana J., Assadi, Reza, Atkins, Lydia S., Badawi, Alaa, Balakrishnan, Kalpana, Basu, Arindam, Basu, Sanjay, Beardsley, Justin, Bedi, Neeraj, Bekele, Tolesa, Bell, Michelle L., Bernabe, Eduardo, Beyene, Tariku J., Bhutta, Zulfiqar, Abdulhak, Aref Bin, Blore, Jed D., Basara, Berrak Bora, Bose, Dipan, Breitborde, Nichola, Cárdenas, Rosario, Castañeda-Orjuela, Carlos A., Castro, Ruben Estanislao, Catalá-López, Ferrán, Cavlin, Alanur, Chang, Jung-Chen, Che, Xuan, Christophi, Costas A., Chugh, Sumeet S., Cirillo, Massimo, Colquhoun, Samantha M., Cooper, Leslie Trumbull, Cooper, Cyru, Da Costa Leite, Iuri, Dandona, Lalit, Dandona, Rakhi, Davis, Adrian, Dayama, Anand, Degenhardt, Louisa, De Leo, Diego, Del Pozo-Cruz, Borja, Deribe, Kebede, Dessalegn, Muluken, Deveber, Gabrielle A., Dharmaratne, Samath D., Dilmen, Uʇur, Ding, Eric L., Dorrington, Rob E., Driscoll, Tim R., Ermakov, Sergei Petrovich, Esteghamati, Alireza, Faraon, Emerito Jose A., Farzadfar, Farshad, Felicio, Manuela Mendonca, Fereshtehnejad, Seyed-Mohammad, De Lima, Graça Maria Ferreira, Forouzanfar, Mohammad H., França, Elisabeth B., Gaffikin, Lynne, Gambashidze, Ketevan, Gankpé, Fortuné Gbètoho, Garcia, Ana C., Geleijnse, Johanna M., Gibney, Katherine B., Giroud, Maurice, Glaser, Elizabeth L., Goginashvili, Ketevan, Gona, Philimon, González-Castell, Dinorah, Goto, Atsushi, Gouda, Hebe N., Gugnani, Harish Chander, Gupta, Rahul, Gupta, Rajeev, Hafezi-Nejad, Nima, Hamadeh, Randah Ribhi, Hammami, Mouhanad, Hankey, Graeme J., Harb, Hilda L., Havmoeller, Rasmu, Hay, Simon I., Pi, Ileana B. Heredia, Hoek, Hans W., Hosgood, H Dean, Hoy, Damian G., Husseini, Abdullatif, Idrisov, Bulat T., Innos, Kaire, Inoue, Manami, Jacobsen, Kathryn H., Jahangir, Eiman, Jee, Sun Ha, Jensen, Paul N., Jha, Vivekanand, Jiang, Guohong, Jonas, Jost B., Juel, Knud, Kabagambe, Edmond Kato, Kan, Haidong, Karam, Nadim E., Karch, André, Karema, Corine Kakizi, Kaul, Anil, Kawakami, Norito, Kazanjan, Konstantin, Kazi, Dhruv S., Kemp, Andrew H., Kengne, Andre Pascal, Kereselidze, Maia, Khader, Yousef Saleh, Khalifa, Shams Eldin Ali Hassan, Khan, Ejaz Ahmed, Khang, Young-Ho, Knibbs, Luke, Kokubo, Yoshihiro, Kosen, Soewarta, Defo, Barthelemy Kuate, Kulkarni, Chanda, Kulkarni, Veena S., Kumar, G. Anil, Kumar, Kaushalendra, Kumar, Ravi B., Kwan, Gene, Lai, Taavi, Lalloo, Ratilal, Lam, Hilton, Lansingh, Van C., Larsson, Ander, Lee, Jong-Tae, Leigh, Jame, Leinsalu, Mall, Leung, Ricky, Li, Xiaohong, Li, Yichong, Li, Yongmei, Liang, Juan, Liang, Xiaofeng, Lim, Stephen S., Lin, Hsien-Ho, Lipshultz, Steven E., Liu, Shiwei, Liu, Yang, Lloyd, Belinda K., London, Stephanie J., Lotufo, Paulo A., Ma, Jixiang, Ma, Stefan, Machado, Vasco Manuel Pedro, Mainoo, Nana Kwaku, Majdan, Marek, Mapoma, Christopher Chabila, Marcenes, Wagner, Marzan, Melvin Barriento, Mason-Jones, Amanda J., Mehndiratta, Man Mohan, Mejia-Rodriguez, Fabiola, Memish, Ziad A., Mendoza, Walter, Miller, Ted R., Mills, Edward J., Mokdad, Ali H., Mola, Glen Liddell, Monasta, Lorenzo, De La Cruz Monis, Jonathan, Hernandez, Julio Cesar Montañez, Moore, Ami R., Moradi-Lakeh, Maziar, Mori, Rintaro, Mueller, Ulrich O., Mukaigawara, Mitsuru, Naheed, Aliya, Naidoo, Kovin S., Nand, Devina, Nangia, Vinay, Nash, Deni, Nejjari, Chakib, Nelson, Robert G., Neupane, Sudan Prasad, Newton, Charles R., Ng, Marie, Nieuwenhuijsen, Mark J., Nisar, Muhammad Imran, Nolte, Sandra, Norheim, Ole F., Nyakarahuka, Luke, Oh, In-Hwan, Ohkubo, Takayoshi, Olusanya, Bolajoko O., Omer, Saad B., Opio, John Nelson, Orisakwe, Orish Ebere, Pandian, Jeyaraj D., Papachristou, Christina, Park, Jae-Hyun, Paternina Caicedo, Angel J., Patten, Scott B., Paul, Vinod K., Pavlin, Boris Igor, Pearce, Neil, Pereira, David M., Pesudovs, Konrad, Petzold, Max, Poenaru, Dan, Polanczyk, Guilherme V., Polinder, Suzanne, Pope, Dan, Pourmalek, Farshad, Qato, Dima, Quistberg, D. Alex, Rafay, Anwar, Rahimi, Kazem, Rahimi-Movaghar, Vafa, Ur Rahman, Sajjad, Raju, Murugesan, Rana, Saleem M., Refaat, Amany, Ronfani, Luca, Roy, Nobhojit, Pimienta, Tania Georgina Sánchez, Sahraian, Mohammad Ali, Salomon, Joshua A., Sampson, Uchechukwu, Santos, Itamar S., Sawhney, Monika, Sayinzoga, Felix, Schneider, Ione J.C., Schumacher, Austin, Schwebel, David C., Seedat, Soraya, Sepanlou, Sadaf G., Servan-Mori, Edson E., Shakh-Nazarova, Marina, Sheikhbahaei, Sara, Shibuya, Kenji, Shin, Hwashin Hyun, Shiue, Ivy, Sigfusdottir, Inga Dora, Silberberg, Donald H., Silva, Andrea P., Singh, Jasvinder A., Skirbekk, Vegard, Sliwa, Karen, Soshnikov, Sergey S., Sposato, Luciano A., Sreeramareddy, Chandrashekhar T., Stroumpoulis, Konstantino, Sturua, Lela, Sykes, Bryan L., Tabb, Karen M., Talongwa, Roberto Tchio, Tan, Feng, Teixeira, Carolina Maria, Tenkorang, Eric Yeboah, Terkawi, Abdullah Sulieman, Thorne-Lyman, Andrew L., Tirschwell, David L., Towbin, Jeffrey A., Tran, Bach X., Tsilimbaris, Miltiadi, Uchendu, Uche S., Ukwaja, Kingsley N., Undurraga, Eduardo A., Uzun, Selen Begüm, Vallely, Andrew J., Van Gool, Coen H., Vasankari, Tommi J., Vavilala, Monica S., Venketasubramanian, N., Villalpando, Salvador, Violante, Francesco S., Vlassov, Vasiliy Victorovich, Vos, Theo, Waller, Stephen, Wang, Haidong, Wang, Linhong, Wang, Xiao Rong, Wang, Yanping, Weichenthal, Scott, Weiderpass, Elisabete, Weintraub, Robert G., Westerman, Ronny, Wilkinson, James D., Woldeyohannes, Solomon Meseret, Wong, John Q., Wordofa, Muluemebet Abera, Xu, Gelin, Yang, Yang C., Yano, Yuichiro, Yentur, Gokalp Kadri, Yip, Paul, Yonemoto, Naohiro, Yoon, Seok-Jun, Younis, Mustafa Z., Yu, Chuanhua, Jin, Kim Yun, El Sayed Zaki, Maysaa, Zhao, Yong, Zheng, Yingfeng, Zhou, Maigeng, Zhu, Jun, Zou, Xiao Nong, Lopez, Alan D., Naghavi, Mohsen, Murray, Christopher J.L., Lozano, Rafael, Kassebaum, Nj, Bertozzi-Villa, A, Coggeshall, M, Shackelford, Ka, Steiner, C, Heuton, Kr, Gonzalez-Medina, D, Barber, R, Huynh, C, Dicker, D, Templin, T, Wolock, Tm, Ozgoren, Aa, Abd-Allah, F, Abera, Sf, Achoki, T, Adelekan, A, Ademi, Z, Adou, Ak, Adsuar, Jc, Agardh, Ee, Akena, D, Alasfoor, D, Alemu, Za, Alfonso-Cristancho, R, Alhabib, S, Ali, R, Al Kahbouri, Mj, Alla, F, Allen, Pj, Almazroa, Ma, Alsharif, U, Alvarez, E, Alvis-Guzmán, N, Amankwaa, Aa, Amare, At, Amini, H, Ammar, W, Antonio, Ca, Anwari, P, Arnlöv, J, Arsenijevic, V, Artaman, A, Asad, Mm, Asghar, Rj, Assadi, R, Atkins, L, Badawi, A, Balakrishnan, K, Basu, A, Basu, S, Beardsley, J, Bedi, N, Bekele, T, Bell, Ml, Bernabe, E, Beyene, Tj, Bhutta, Z, Bin Abdulhak, A, Blore, J, Basara, Bb, Bose, D, Breitborde, N, Cárdenas, R, Castañeda-Orjuela, Ca, Castro, Re, Catalá-López, F, Cavlin, A, Chang, Jc, Che, X, Christophi, Ca, Chugh, S, Cirillo, M, Colquhoun, Sm, Cooper, Lt, Cooper, C, da Costa Leite, I, Dandona, L, Dandona, R, Davis, A, Dayama, A, Degenhardt, L, De Leo, D, Del Pozo-Cruz, B, Deribe, K, Dessalegn, M, Deveber, Ga, Dharmaratne, Sd, Dilmen, U, Ding, El, Dorrington, Re, Driscoll, Tr, Ermakov, Sp, Esteghamati, A, Faraon, Ej, Farzadfar, F, Felicio, Mm, Fereshtehnejad, Sm, de Lima, Gm, Forouzanfar, Mh, França, Eb, Gaffikin, L, Gambashidze, K, Gankpé, Fg, Garcia, Ac, Geleijnse, Jm, Gibney, Kb, Giroud, M, Glaser, El, Goginashvili, K, Gona, P, González-Castell, D, Goto, A, Gouda, Hn, Gugnani, Hc, Gupta, R, Hafezi-Nejad, N, Hamadeh, Rr, Hammami, M, Hankey, Gj, Harb, Hl, Havmoeller, R, Hay, S, Pi, Ib, Hoek, Hw, Hosgood, Hd, Hoy, Dg, Husseini, A, Idrisov, Bt, Innos, K, Inoue, M, Jacobsen, Kh, Jahangir, E, Jee, Sh, Jensen, Pn, Jha, V, Jiang, G, Juel, K, Kabagambe, Ek, Kan, H, Karam, Ne, Karch, A, Karema, Ck, Kaul, A, Kawakami, N, Kazanjan, K, Kazi, D, Kemp, Ag, Kengne, Ap, Kereselidze, M, Khader, Y, Khalifa, Se, Khan, Ea, Khang, Yh, Knibbs, L, Kokubo, Y, Kosen, S, Defo, Bk, Kulkarni, C, Kulkarni, V, Kumar, Ga, Kumar, K, Kumar, Rb, Kwan, G, Lai, T, Lalloo, R, Lam, H, Lansingh, Vc, Larsson, A, Lee, Jt, Leigh, J, Leinsalu, M, Leung, R, Li, X, Li, Y, Liang, J, Liang, X, Lim, S, Lin, Hh, Lipshultz, Se, Liu, S, Liu, Y, Lloyd, Bk, London, Sj, Lotufo, Pa, Ma, J, Ma, S, Machado, Vm, Mainoo, Nk, Majdan, M, Mapoma, Cc, Marcenes, W, Marzan, Mb, Mason-Jones, Aj, Mehndiratta, Mm, Mejia-Rodriguez, F, Memish, Za, Mendoza, W, Miller, Tr, Mills, Ej, Mokdad, Ah, Mola, Gl, Monasta, L, de la Cruz Monis, J, Hernandez, Jc, Moore, Ar, Mori, R, Mueller, Uo, Mukaigawara, M, Naheed, A, Naidoo, K, Nand, D, Nangia, V, Nash, D, Nejjari, C, Nelson, Rg, Neupane, Sp, Newton, Cr, Ng, M, Nieuwenhuijsen, Mj, Nisar, Mi, Nolte, S, Norheim, Of, Nyakarahuka, L, Oh, Ih, Ohkubo, T, Olusanya, Bo, Omer, Sb, Opio, Jn, Orisakwe, Oe, Pandian, Jd, Papachristou, C, Park, Jh, Caicedo, Aj, Patten, Sb, Paul, Vk, Pavlin, Bi, Pearce, N, Pereira, Dm, Pesudovs, K, Petzold, M, Poenaru, D, Polanczyk, Gv, Polinder, S, Pope, D, Pourmalek, F, Qato, D, Quistberg, Da, Rafay, A, Rahimi, K, Rahimi-Movaghar, V, Ur Rahman, S, Raju, M, Rana, Sm, Refaat, A, Ronfani, L, Roy, N, Pimienta, Tg, Sahraian, Ma, Salomon, J, Sampson, U, Santos, I, Sawhney, M, Sayinzoga, F, Schneider, Ij, Schumacher, A, Schwebel, Dc, Seedat, S, Sepanlou, Sg, Servan-Mori, Ee, Shakh-Nazarova, M, Sheikhbahaei, S, Shibuya, K, Shin, Hh, Shiue, I, Sigfusdottir, Id, Silberberg, Dh, Silva, Ap, Singh, Ja, Skirbekk, V, Sliwa, K, Soshnikov, S, Sposato, La, Sreeramareddy, Ct, Stroumpoulis, K, Sturua, L, Sykes, Bl, Tabb, Km, Talongwa, Rt, Tan, F, Teixeira, Cm, Tenkorang, Ey, Terkawi, A, Thorne-Lyman, Al, Tirschwell, Dl, Towbin, Ja, Tran, Bx, Tsilimbaris, M, Uchendu, U, Ukwaja, Kn, Undurraga, Ea, Uzun, Sb, Vallely, Aj, van Gool, Ch, Vasankari, Tj, Vavilala, M, Venketasubramanian, N, Villalpando, S, Violante, F, Vlassov, Vv, Vos, T, Waller, S, Wang, H, Wang, L, Wang, Sx, Wang, Y, Weichenthal, S, Weiderpass, E, Weintraub, Rg, Westerman, R, Wilkinson, Jd, Woldeyohannes, Sm, Wong, Jq, Wordofa, Ma, Xu, G, Yang, Yc, Yano, Y, Yentur, Gk, Yip, P, Yonemoto, N, Yoon, Sj, Younis, Mz, Yu, C, Jin, Ky, El Sayed Zaki, M, Zhao, Y, Zheng, Y, Zhou, M, Zhu, J, Zou, Xn, Lopez, Ad, Naghavi, M, Murray, Cj, Lozano, R, Cell biology, Epidemiology, Public Health, Erasmus MC other, Cardiothoracic Surgery, and Pathology
Subjects: Pediatrics, Time Factors, Nutrition and Disease, hiv-infection, immunodeficiency virus-1 infection, peripartum cardiomyopathy, Poison control, HIV Infections, IMMUNODEFICIENCY VIRUS-1 INFECTION, Socioeconomic Factor, Global Health, 0302 clinical medicine, PERIPARTUM CARDIOMYOPATHY, pregnancy-related mortality, Risk Factors, Pregnancy, Voeding en Ziekte, Cause of Death, Global health, HIV Infection, 030212 general & internal medicine, Pregnancy Complications, Infectious, 10. No inequality, Cause of death, 030219 obstetrics & reproductive medicine, south-africa, Medicine (all), 1. No poverty, WOMEN, PREGNANCY-RELATED MORTALITY, health initiatives, General Medicine, SOUTH-AFRICA, 3. Good health, Maternal Mortality, World Health, CHILD SURVIVAL, Female, Maternal death, women, Human, medicine.medical_specialty, Time Factor, DEATHS, child survival, Article, adult mortality, 03 medical and health sciences, Age Distribution, HEALTH INITIATIVES, SDG 3 - Good Health and Well-being, HIV-INFECTION, ADULT MORTALITY, Injury prevention, medicine, Organizational Objectives, Organizational Objective, Humans, VLAG, Models, Statistical, business.industry, Risk Factor, medicine.disease, deaths, Standardized mortality ratio, Socioeconomic Factors, Relative risk, Pregnancy Complications, Infectiou, business, Demography
Abstract: BACKGROUND: The fifth Millennium Development Goal (MDG 5) established the goal of a 75% reduction in the maternal mortality ratio (MMR; number of maternal deaths per 100,000 livebirths) between 1990 and 2015. We aimed to measure levels and track trends in maternal mortality, the key causes contributing to maternal death, and timing of maternal death with respect to delivery.METHODS: We used robust statistical methods including the Cause of Death Ensemble model (CODEm) to analyse a database of data for 7065 site-years and estimate the number of maternal deaths from all causes in 188 countries between 1990 and 2013. We estimated the number of pregnancy-related deaths caused by HIV on the basis of a systematic review of the relative risk of dying during pregnancy for HIV-positive women compared with HIV-negative women. We also estimated the fraction of these deaths aggravated by pregnancy on the basis of a systematic review. To estimate the numbers of maternal deaths due to nine different causes, we identified 61 sources from a systematic review and 943 site-years of vital registration data. We also did a systematic review of reports about the timing of maternal death, identifying 142 sources to use in our analysis. We developed estimates for each country for 1990-2013 using Bayesian meta-regression. We estimated 95% uncertainty intervals (UIs) for all values.FINDINGS: 292,982 (95% UI 261,017-327,792) maternal deaths occurred in 2013, compared with 376,034 (343,483-407,574) in 1990. The global annual rate of change in the MMR was -0·3% (-1·1 to 0·6) from 1990 to 2003, and -2·7% (-3·9 to -1·5) from 2003 to 2013, with evidence of continued acceleration. MMRs reduced consistently in south, east, and southeast Asia between 1990 and 2013, but maternal deaths increased in much of sub-Saharan Africa during the 1990s. 2070 (1290-2866) maternal deaths were related to HIV in 2013, 0·4% (0·2-0·6) of the global total. MMR was highest in the oldest age groups in both 1990 and 2013. In 2013, most deaths occurred intrapartum or postpartum. Causes varied by region and between 1990 and 2013. We recorded substantial variation in the MMR by country in 2013, from 956·8 (685·1-1262·8) in South Sudan to 2·4 (1·6-3·6) in Iceland.INTERPRETATION: Global rates of change suggest that only 16 countries will achieve the MDG 5 target by 2015. Accelerated reductions since the Millennium Declaration in 2000 coincide with increased development assistance for maternal, newborn, and child health. Setting of targets and associated interventions for after 2015 will need careful consideration of regions that are making slow progress, such as west and central Africa.FUNDING: Bill & Melinda Gates Foundation.
Published: 2016

21. Global, regional, and national levels of neonatal, infant, and under-5 mortality during 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013

Author: Karen Sliwa, Xiaofeng Liang, Vivekanand Jha, Dorairaj Prabhakaran, Rakhi Dandona, Gonghuan Yang, Xuan Che, Soewarta Kosen, Sergei Petrovich Ermakov, Ted R. Miller, Samath D Dharmaratne, Philimon Gona, Sergey Soshnikov, Atsushi Goto, Costas A. Christophi, Zacharie Tsala Dimbuene, Elena Alvarez, Yanping Wang, Peggy Pei-Chia Chiang, Mohammad H. Forouzanfar, Giancarlo Logroscino, Massimo Cirillo, Knud Juel, Johanna M. Geleijnse, Stefan Ma, Samaya Ismayilova, Karen Fern Greenwell, Michelle L. Bell, Saad B. Omer, Ademola Lukman Adelekan, Joshua A. Salomon, Dhruv S. Kazi, Jed D. Blore, Walid Ammar, Carly E Levitz, Kovin Naidoo, Solveig A. Cunningham, Stephen G. Waller, Anand Dayama, James D. Wilkinson, Vasiliki Stathopoulou, Meghan D. Mooney, Mall Leinsalu, Jonathan R. Carapetis, Paul S. F. Yip, Anders Larsson, Abbas Ali Mahdi, Hideaki Toyoshima, Guohong Jiang, Xia Wan, Chuanhua Yu, Soufiane Boufous, Ivy Shiue, Bulat Idrisov, Qing Lan, Chelsea A. Liddell, Austin E Schumacher, Valeria Caso, Nigel Bruce, Paulo A. Lotufo, Ibrahim Abubakar, Roberto Tchio Talongwa, Luke Nyakarahuka, Edward J Mills, Iuri da Costa Leite, Semaw Ferede Abera, Ana C. Garcia, Ayse Abbasoglu Ozgoren, Matthew M Coates, Konstantinos Stroumpoulis, Bradford D. Gessner, Kebede Deribe, Tommi Vasankari, Logan Sandar, Kenji Shibuya, Karen M. Tabb, Troy Jacobs, Christopher J L Murray, Chakib Nejjari, Katherine T. Lofgren, Melvin Barrientos Marzan, Haidong Wang, Joanna Moschandreas, Raimundas Lunevicius, Nataliya Foigt, Rashmi Gupta, Ziad A. Memish, Victoria Pillay-van Wyk, Randah R. Hamadeh, Azmeraw T. Amare, Lalit Dandona, Uchechukwu K.A. Sampson, Monika Sawhney, Vasiliy Victorovich Vlassov, Farhad Islami, Palwasha Anwari, Mustafa Z. Younis, Amitava Banerjee, Ruben Castro, David O. Carpenter, Karzan Abdulmuhsin Mohammad, Taavi Lai, Yousef Khader, Sara Sheikhbahaei, Atte Meretoja, Zanfina Ademi, Ivo Rakovac, Yang Yang, Hilda L Harb, Daniel Pope, Jun She, Yichong Li, Andrew L. Thorne-Lyman, Adrian Davis, Stein Emil Vollset, Andre Pascal Kengne, Henry Apfel, Mark J. Nieuwenhuijsen, John J. McGrath, Yoshihiro Kokubo, Jonas Minet Kinge, Elisabete Weiderpass, Rajiv Chowdhury, Damian G Hoy, Jürgen C Schmidt, Seyed-Mohammad Fereshtehnejad, Harish Chander Gugnani, Hywel C Williams, Karen Edmond, Peter J. Allen, Marina Shakh-Nazarova, Tom Achoki, Edmond K. Kabagambe, Naohiro Yonemoto, Jun Zhu, Simon I. Hay, Karen J. Courville, Ketevan Goginashvili, Theo Vos, Kim Yun Jin, Kawkab Shishani, Lorenzo Monasta, H. Dean Hosgood, Uʇur Dilmen, Marcella Montico, Shankuan Zhu, Ami R. Moore, Marie Ng, Maigeng Zhou, Hebe N. Gouda, Linh N Bui, Sanjay Basu, Mouhanad Hammami, Mohammad T Mashal, Bryan K. Phillips, Marissa Iannarone, Ronan A Lyons, Young-Ho Khang, Robert G. Weintraub, Luca Ronfani, Daniel Kim, Alanur Çavlin, Ferrán Catalá-López, Ronny Westerman, Maia Kereselidze, Itamar S. Santos, Reza Assadi, Hwashin Hyun Shin, Carolina Maria Teixeira, Berrak Bora Basara, David Rojas-Rueda, Abdullah Sulieman Terkawi, Adansi A. Amankwaa, Nicholas J K Breitborde, Gokalp Kadri Yentur, Kaushalendra Kumar, Daniel Obadare Fijabi, Neeraj Bedi, Robert Quentin Reilly, Ana Maria Nogales Vasconcelos, Scott Weichenthal, Mark A. Green, Selen Begüm Uzun, Mukesh Dherani, Shams Eldin Ali Hassan Khalifa, Majed Asad, Jasvinder A. Singh, Angel J Paternina Caicedo, Eric L. Ding, Jost B. Jonas, Tolesa Bekele, Alan J Thomson, Steven E. Lipshultz, Rosario Cárdenas, Sajjad Ur Rahman, George A. Mensah, Jongmin Lee, Inga Dora Sigfusdottir, Mohammad Yahya Saeedi, Magdalena M. Muszyńska, Ulrich O Mueller, Stephen S Lim, Barthelemy Kuate Defo, Alan D. Lopez, Luciano A. Sposato, G Anil Kumar, Farshad Pourmalek, Zulfiqar A Bhutta, Maysaa El Sayed Zaki, Shiwei Liu, K.M. Venkat Narayan, William Msemburi, Ting Wu Chuang, Zewdie Aderaw Alemu, Saleem M Rana, Mohammad Taghi Hedayati, Mohsen Naghavi, Vegard Skirbekk, Walter Mendoza, Ali H. Mokdad, Yohannes Kinfu, Jean de Dieu Ngirabega, Takayoshi Ohkubo, Parfait Uwaliraye, Tasara T. Mazorodze, Farshad Farzadfar, Rob E. Dorrington, Mohammad A. AlMazroa, R. Kumar, Lesley Rushton, Wang, H, Liddell, Ca, Coates, Mm, Mooney, Md, Levitz, Ce, Schumacher, Ae, Apfel, H, Iannarone, M, Phillips, B, Lofgren, Kt, Sandar, L, Dorrington, Re, Rakovac, I, Jacobs, Ta, Liang, X, Zhou, M, Zhu, J, Yang, G, Wang, Y, Liu, S, Li, Y, Ozgoren, Aa, Abera, Sf, Abubakar, I, Achoki, T, Adelekan, A, Ademi, Z, Alemu, Za, Allen, Pj, Almazroa, Ma, Alvarez, E, Amankwaa, Aa, Amare, At, Ammar, W, Anwari, P, Cunningham, Sa, Asad, Mm, Assadi, R, Banerjee, A, Basu, S, Bedi, N, Bekele, T, Bell, Ml, Bhutta, Z, Blore, J, Basara, Bb, Boufous, S, Breitborde, N, Bruce, Ng, Bui, Ln, Carapetis, Jr, Cárdenas, R, Carpenter, Do, Caso, V, Castro, Re, Catalá Lopéz, F, Cavlin, A, Che, X, Chiang, Pp, Chowdhury, R, Christophi, Ca, Chuang, Tw, Cirillo, Massimo, da Costa Leite, I, Courville, Kj, Dandona, L, Dandona, R, Davis, A, Dayama, A, Deribe, K, Dharmaratne, Sd, Dherani, Mk, Dilmen, U, Ding, El, Edmond, Km, Ermakov, Sp, Farzadfar, F, Fereshtehnejad, Sm, Fijabi, Do, Foigt, N, Forouzanfar, Mh, Garcia, Ac, Geleijnse, Jm, Gessner, Bd, Goginashvili, K, Gona, P, Goto, A, Gouda, Hn, Green, Ma, Greenwell, Kf, Gugnani, Hc, Gupta, R, Hamadeh, Rr, Hammami, M, Harb, Hl, Hay, S, Hedayati, Mt, Hosgood, Hd, Hoy, Dg, Idrisov, Bt, Islami, F, Ismayilova, S, Jha, V, Jiang, G, Jonas, Jb, Juel, K, Kabagambe, Ek, Kazi, D, Kengne, Ap, Kereselidze, M, Khader, Y, Khalifa, Se, Khang, Yh, Kim, D, Kinfu, Y, Kinge, Jm, Kokubo, Y, Kosen, S, Defo, Bk, Kumar, Ga, Kumar, K, Kumar, Rb, Lai, T, Lan, Q, Larsson, A, Lee, Jt, Leinsalu, M, Lim, S, Lipshultz, Se, Logroscino, G, Lotufo, Pa, Lunevicius, R, Lyons, Ra, Ma, S, Mahdi, Aa, Marzan, Mb, Mashal, Mt, Mazorodze, Tt, Mcgrath, Jj, Memish, Za, Mendoza, W, Mensah, Ga, Meretoja, A, Miller, Tr, Mills, Ej, Mohammad, Ka, Mokdad, Ah, Monasta, L, Montico, M, Moore, Ar, Moschandreas, J, Msemburi, Wt, Mueller, Uo, Muszynska, Mm, Naghavi, M, Naidoo, K, Narayan, Kv, Nejjari, C, Ng, M, de Dieu Ngirabega, J, Nieuwenhuijsen, Mj, Nyakarahuka, L, Ohkubo, T, Omer, Sb, Caicedo, Aj, Wyk, Vp, Pope, D, Prabhakaran, D, Rahman, Su, Rana, Sm, Reilly, Rq, Rojas Rueda, D, Ronfani, L, Rushton, L, Saeedi, My, Salomon, J, Sampson, U, Santos, I, Sawhney, M, Schmidt, Jc, Shakh Nazarova, M, She, J, Sheikhbahaei, S, Shibuya, K, Shin, Hh, Shishani, K, Shiue, I, Sigfusdottir, Id, Singh, Ja, Skirbekk, V, Sliwa, K, Soshnikov, S, Sposato, La, Stathopoulou, Vk, Stroumpoulis, K, Tabb, Km, Talongwa, Rt, Teixeira, Cm, Terkawi, A, Thomson, Aj, Thorne Lyman, Al, Toyoshima, H, Dimbuene, Zt, Uwaliraye, P, Uzun, Sb, Vasankari, Tj, Vasconcelos, Am, Vlassov, Vv, Vollset, Se, Vos, T, Waller, S, Wan, X, Weichenthal, S, Weiderpass, E, Weintraub, Rg, Westerman, R, Wilkinson, Jd, Williams, Hc, Yang, Yc, Yentur, Gk, Yip, P, Yonemoto, N, Younis, M, Yu, C, Jin, Ky, El Sayed Zaki, M, Zhu, S, Lopez, Ad, and Murray, C. J.
Subjects: trends, Pediatrics, medicine.medical_specialty, Nutrition and Disease, democracy, Developing country, coverage, VDP::Medisinske fag: 700::Helsefag: 800::Epidemiologi medisinsk og odontologisk statistikk: 803, millennium development goals, Global Health, survival, 03 medical and health sciences, 0302 clinical medicine, Risk Factors, 030225 pediatrics, Voeding en Ziekte, Infant Mortality, Global health, Humans, Organizational Objectives, Medicine, 030212 general & internal medicine, 10. No inequality, VLAG, business.industry, Mortality rate, Infant, Newborn, 1. No poverty, Infant, health, General Medicine, Millennium Development Goals, Infant mortality, maternal education, 3. Good health, Secular variation, Child mortality, Socioeconomic Factors, income countries, Child, Preschool, Child Mortality, developing-countries, VDP::Midical sciences: 700::Health sciences: 800::Epidemiology, medical and dental statistics: 803, International development, business, Demography, child-mortality
Abstract: Summary Background Remarkable financial and political efforts have been focused on the reduction of child mortality during the past few decades. Timely measurements of levels and trends in under-5 mortality are important to assess progress towards the Millennium Development Goal 4 (MDG 4) target of reduction of child mortality by two thirds from 1990 to 2015, and to identify models of success. Methods We generated updated estimates of child mortality in early neonatal (age 0–6 days), late neonatal (7–28 days), postneonatal (29–364 days), childhood (1–4 years), and under-5 (0–4 years) age groups for 188 countries from 1970 to 2013, with more than 29 000 survey, census, vital registration, and sample registration datapoints. We used Gaussian process regression with adjustments for bias and non-sampling error to synthesise the data for under-5 mortality for each country, and a separate model to estimate mortality for more detailed age groups. We used explanatory mixed effects regression models to assess the association between under-5 mortality and income per person, maternal education, HIV child death rates, secular shifts, and other factors. To quantify the contribution of these different factors and birth numbers to the change in numbers of deaths in under-5 age groups from 1990 to 2013, we used Shapley decomposition. We used estimated rates of change between 2000 and 2013 to construct under-5 mortality rate scenarios out to 2030. Findings We estimated that 6·3 million (95% UI 6·0–6·6) children under-5 died in 2013, a 64% reduction from 17·6 million (17·1–18·1) in 1970. In 2013, child mortality rates ranged from 152·5 per 1000 livebirths (130·6–177·4) in Guinea-Bissau to 2·3 (1·8–2·9) per 1000 in Singapore. The annualised rates of change from 1990 to 2013 ranged from −6·8% to 0·1%. 99 of 188 countries, including 43 of 48 countries in sub-Saharan Africa, had faster decreases in child mortality during 2000–13 than during 1990–2000. In 2013, neonatal deaths accounted for 41·6% of under-5 deaths compared with 37·4% in 1990. Compared with 1990, in 2013, rising numbers of births, especially in sub-Saharan Africa, led to 1·4 million more child deaths, and rising income per person and maternal education led to 0·9 million and 2·2 million fewer deaths, respectively. Changes in secular trends led to 4·2 million fewer deaths. Unexplained factors accounted for only −1% of the change in child deaths. In 30 developing countries, decreases since 2000 have been faster than predicted attributable to income, education, and secular shift alone. Interpretation Only 27 developing countries are expected to achieve MDG 4. Decreases since 2000 in under-5 mortality rates are accelerating in many developing countries, especially in sub-Saharan Africa. The Millennium Declaration and increased development assistance for health might have been a factor in faster decreases in some developing countries. Without further accelerated progress, many countries in west and central Africa will still have high levels of under-5 mortality in 2030. Funding Bill & Melinda Gates Foundation, US Agency for International Development.
Published: 2014

22. Trends in psychotherapy utilization for perinatal mental health 2008-2020.

Author: Tabb KM, Beck DC, Zhang X, Hall S, Tilea A, Sugg G, Schroeder A, Dalton VK, and Zivin K
Published: 2024
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23. Depression is associated with unintended pregnancy among fathers during the first 3 years after childbirth.

Author: Faisal-Cury A, Tabb KM, and Matijasevich A
Abstract: Background: The aim of the present study is to estimate the prevalence of unintended pregnancy in fathers with children aged less than or equal to 36 months and evaluate whether unintended pregnancy is associated with depression after controlling for covariates., Methods: We used data from the Brazilian National Health Survey (PNS) of 2019, a cross-sectional study that comprised a representative sample of residents in private households in Brazil. For the analysis of this study, we selected 30,579 men (> 14 years old) who answered to the Selected Resident questionnaire of the PNS and reported having a biological child (son). Among these 4806 had a child with less than 4 years of age and were used in our analysis., Results: The prevalence of unintended pregnancy in this group of fathers with a child ≤ 3 years was 35.0 % (95 % CI 32.6-37.5). In the final adjusted model, the variables associated with depression were: PHQ-9 total score (OR: 1.07, 95 % CI 1.03-1.11, p ≤0.001), a higher father's age (OR 1.01, 95 % CI 1.01-1.02), a higher father's age at birth (OR: 0.92, 95 % CI 0.90-0.94), self-reported black (OR: 3.00, 95 % CI 1.94-4.66), brown (OR: 1.63, 95 % CI 1.25-2.13) or indigenous (OR: 0.22, 95 % CI 0.07-0.69) skin color, lower per capita family income >1 to 2 MW (OR: 1.54, 95 % CI 1.01-2.35), ½ to 1 MW (OR: 2.22, 95 % CI 1.46-3.38) and up to 1 MW (OR: 1.76, 95 % CI 1.19-2.59) and not participating in the partner's prenatal appointments (OR: 2.04, 95 % CI 1.55-2.68)., Discussion: In our study, the prevalence of unplanned pregnancy among fathers of child less than 4 years of age is high, and it is associated with depression. Black and brown self-reported skin color, lower family income and higher father's age are associated with increased risk of unintended pregnancy., (Copyright © 2024. Published by Elsevier Inc.)
Published: 2024
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24. Risk and Protective Factors for Preterm Birth Among Racial, Ethnic, and Socioeconomic Groups in California.

Author: Jelliffe-Pawlowski LL, Baer RJ, Oltman S, McKenzie-Sampson S, Afulani P, Amsalu R, Bell AJ, Blebu B, Blackman KCA, Chambers CD, Costello J, Fuchs J, Garay O, Karvonen KL, Kuppermann M, Lyndon A, McCulloch CE, Ong G, Ponting C, Rand L, Rogers EE, Ryckman KK, Spellen S, Subramaniam A, Swander L, Taylor KD, Williams S, and Tabb KM
Subjects: Humans, California epidemiology, Retrospective Studies, Female, Risk Factors, Adult, Pregnancy, Infant, Newborn, Socioeconomic Factors, Racial Groups statistics & numerical data, Male, Young Adult, Premature Birth ethnology, Premature Birth epidemiology, Protective Factors, Ethnicity statistics & numerical data
Abstract: Importance: Preterm birth (PTB) (gestational age <37 weeks) is a major cause of infant mortality and morbidity in the US and is marked by racial and ethnic and socioeconomic inequities. Further research is needed to elucidate the association of risk and protective factors with trends in PTB rates and with related inequities., Objective: To describe the association of PTB rates with inequities as well as related risk and protective factors over the past decade in a US population-based cohort., Design, Setting, and Participants: This retrospective cohort study of singleton live births in California from January 1, 2011, to December 31, 2022, was conducted using vital statistics records and hospital records. The cohort included births with a gestational age of 22 to 44 weeks., Main Outcomes and Measures: Preterm birth rates by racial and ethnic group and by public and nonpublic insurance (considered as a proxy for socioeconomic status) were studied across years. Log-linear regression (relative risks with 95% CIs) was used to evaluate risk and protective factors within groups. Associations of PTB rates with risk and protective factors were assessed., Results: This study included 5 431 018 singleton live births to individuals who identified as American Indian or Alaska Native (0.3%), Asian (14.2%), Black (4.9%), Hispanic (47.8%), or White (27.0%). A total of 43.1% of births were to individuals with public health insurance. From 2011 to 2022, the overall PTB rate increased from 6.8% to 7.5% (change [SE], 10.6% [0.6%]; z score of 18.5; P < .001). Differences in PTB rates and associated changes were observed for racial and ethnic groups and insurance groups. For example, 2022 PTB rates ranged from 5.8% among White individuals with nonpublic insurance to 11.3% among Black individuals with public health insurance. From 2011 to 2022, PTB rates decreased from 9.1% to 8.8% (change [SE], -3.5% [4.2]; z score of -0.8; P = .42) among Black individuals with nonpublic insurance, whereas they increased from 6.4% to 9.5% (change [SE], 49.8% [16.0%]; z score of 3.1; P = .002) among American Indian or Alaska Native individuals with nonpublic insurance. Increases in some risk factors (eg, preexisting diabetes, sexually transmitted infections, mental health conditions) were observed in most groups, and decreases in some protective factors (eg, participation in the California Women, Infants, and Children program) (P for trend < .001 from 2011 to 2021) were observed mostly in low-income groups., Conclusions and Relevance: In this cohort study of singleton live births in California, PTB rates increased in many groups. Persistent racial and ethnic and socioeconomic inequities were also observed. Changes in risk and protective factors provided clues to patterns of PTB. These data point to an urgent need to address factors associated with PTB at both the individual and population levels.
Published: 2024
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25. State legislation and policies to improve perinatal mental health: a policy review and analysis of the state of Illinois.

Author: Tabb KM, Hsieh WJ, Ramirez XR, and Kopels S
Abstract: Introduction: Maternal mental health problems, such as perinatal depression, are a major public health issue. In the U.S., several states have policies related to mental health during pregnancy and postpartum. The extent of these laws at the state level needs to be further explored and described., Methods: We systematically searched the Illinois General Assembly to determine all existing legislation on the topic of perinatal mental health., Results: This search uncovered two major Acts that 1) require universal perinatal depression screening and 2) raise awareness of the symptoms and treatment options related to maternal mental health. We also discovered provisions in the law that allow for untreated or undiagnosed postpartum depression or psychosis to be considered as a mitigating factor for women who commit forcible felonies., Discussion: Through legislation, states can lead change at the systems-level to improve perinatal mental health outcomes., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision., (Copyright © 2024 Tabb, Hsieh, Ramirez and Kopels.)
Published: 2024
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26. Perinatal Mental Health: The Need For Broader Understanding And Policies That Meet The Challenges.

Author: Dossett EC, Stuebe A, Dillion T, and Tabb KM
Subjects: Female, Humans, Pregnancy, Policy, Postpartum Period, United States, Delivery of Health Care, Mental Health
Abstract: Perinatal mental health is gaining recognition as a key antecedent of adverse maternal and child outcomes as the United States experiences a maternal mortality and morbidity crisis. Recent policy efforts have attempted to mitigate adverse outcomes through legislation such as the Taskforce Recommending Improvements for Unaddressed Mental Perinatal and Postpartum Health (TRIUMPH) for New Moms Act of 2021 and postpartum coverage through Medicaid expansion. Even with progress, perinatal mental health policy continues to grapple with a basic truth: The United States lacks an overarching health care system capable of meeting the mental health care needs of perinatal people and their families.  Moreover, the burden of undiagnosed and untreated perinatal mental health challenges remains greatest among racially minoritized populations, such as Black, Asian, and multiracial people. A broader understanding of perinatal mental health is needed, grounded in the tenets of reproductive justice. From this perspective, we articulate specific policies to meet perinatal mental health challenges and promote thriving for birthing people and their families.
Published: 2024
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27. Perinatal Mood And Anxiety Disorders Rose Among Privately Insured People, 2008-20.

Author: Zivin K, Pangori A, Zhang X, Tilea A, Hall SV, Vance A, Dalton VK, Schroeder A, Courant A, and Tabb KM
Subjects: Female, Pregnancy, Humans, Anxiety, Insurance, Health, Anxiety Disorders epidemiology, Rosa
Abstract: Nationwide, perinatal mood and anxiety disorder (PMAD) diagnoses among privately insured people increased by 93.3 percent from 2008 to 2020, growing faster in 2015-20 than in 2008-14. Most states and demographic subgroups experienced increases, suggesting worsening morbidity in maternal mental health nationwide. PMAD-associated suicidality and psychotherapy rates also increased nationwide from 2008 to 2020. Relative to 2008-14, psychotherapy rates continued to rise in 2015-20, whereas suicidality rates declined.
Published: 2024
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28. The relationship between diagnosed antenatal depression and anxiety and adverse birth outcomes between 2009 and 2020.

Author: Tabb KM, Beck DC, Tilea A, Bell S, Sugg GA, Vance A, Schroeder A, Admon L, and Zivin K
Published: 2023
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29. Trends in chronic pain conditions among delivering women with and without mood and anxiety disorders.

Author: Dalton VK, Pangori A, As-Sanie S, Tabb KM, Hall S, Tilea A, Schroeder A, Burgess J, and Zivin K
Subjects: Pregnancy, Humans, Female, Cross-Sectional Studies, Anxiety epidemiology, Chronic Disease, Depression epidemiology, Anxiety Disorders epidemiology, Anxiety Disorders diagnosis, Chronic Pain epidemiology
Abstract: Objective: The co-existence of chronic pain conditions with anxiety and/or depression is common in the general population but poorly described during pregnancy. In this study, we sought to describe trends in chronic pain among a sample of delivering people and describe the co-existence of chronic pain with anxiety and/or depression among delivering people., Methods: This cross-sectional study used data from Optum's de-identified Clinformatics® Data Mart Database between 2008 and 2021, for delivering persons with coverage by single employer-based health plan. We computed predicted margins from generalized estimating equations to determine the marginal predicted probability of chronic pain among all delivering and non-delivering persons who identify as women with and without diagnosed anxiety and/or depression., Results: Musculoskeletal and pelvic pain occurred most often regardless of delivering status. Delivering persons with anxiety and/or depression had higher marginal predicted probabilities of chronic pain compared to all delivering persons. Between 2008 and 2021, the predicted probabilities ranged from 0.400 to 0.527 and 0.221-0.261, respectively., Conclusion: Chronic pain conditions are common in pregnancy and nearly two times higher among individuals with anxiety and/or depression. The frequency of comorbid depression and/or anxiety with pain disorders among delivering persons highlights the importance of proper detection, coordination of care, and safe treatment options for this population., (Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.)
Published: 2023
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30. Experiences of racial Trauma among perinatal women of color in seeking healthcare services.

Author: Hoang TH, Lee BA, Hsieh WJ, Lukacena KM, and Tabb KM
Subjects: Female, Humans, Pregnancy, Health Services, Mental Health, White, Black or African American, Indigenous Peoples, United States, Delivery of Health Care, Racism, Perinatal Care, Psychological Trauma ethnology
Abstract: Objective: To describe the experiences of perinatal Black, Indigenous, and other People of Color (BIPOC) women in healthcare interactions., Methods: We conducted eight virtual focus groups with perinatal BIPOC women across the USA from November 2021 to March 2022. A semi-structured interview protocol was used, and focus groups were audio recorded and transcribed verbatim. Our team used reflexive thematic analysis to analyze the qualitative data and describe our findings., Results: Three latent themes emerged related to racial trauma in healthcare interactions: (1) observations and experiences of anti-Black bias, (2) experiences of dismissal of pain and withholding of care, particularly among Black and Latinx patients, and (3) common race-based traumatic experiences across all BIPOC women, including a consistent lack of bodily autonomy and deferral to White people for decision-making. Recommendations from participants included more transparent communication and greater empathic care for all patients, with calls to specifically address anti-Black bias in healthcare treatment., Conclusion: The study's findings suggest that perinatal healthcare needs to reduce mental stress and exposure to racial trauma for perinatal BIPOC women. This study offers a discussion of implications for future training for healthcare providers and implications for addressing systemic racial disparities in perinatal mental health., Competing Interests: Declaration of Competing Interest The authors declare no conflict of interest., (Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.)
Published: 2023
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31. Parent Perceptions of an Early Childhood System's Community Efforts: A Qualitative Analysis.

Author: Bentley B, Hoang TMH, Arroyo Sugg G, Jenkins KV, Reinhart CA, Pouw L, Accove AM, and Tabb KM
Abstract: Understanding how parents, and other primary caregivers, perceive and experience early childhood programs and services is essential for identifying family-centered facilitators and barriers to service utilization. Therefore, this paper aims to explore parent knowledge of and experiences with community efforts of an early childhood system in Illinois: the All Our Kids Early Childhood Networks (AOK Networks). Our research team conducted focus group interviews with 20 parents across four Illinois counties. A semi-structured interview guide was used to examine parent perceptions of an early childhood system's community efforts in promoting the health and well-being of children aged from birth to five. Thematic network analysis was used to analyze all focus group data. Parents indicated three salient themes, including: (1) comprehensive information sharing practices, (2) diverse service engagement, and (3) barriers to service access. Overall, parents reported general satisfaction with the quality of available services and provided feedback regarding identified areas of need to increase the accessibility and utilization of local services. Engaging parents as partners is essential to the effective implementation of family-centered early childhood services. Families are the experts of their lived experiences, and incorporating their voices in program development and evaluation efforts works to increase positive child and family outcomes.
Published: 2023
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32. The role of perinatal psychiatry access programs in advancing mental health equity.

Author: Deichen Hansen ME, Londoño Tobón A, Kamal Haider U, Moore Simas TA, Newsome M, Finelli J, Boama-Nyarko E, Mittal L, Tabb KM, Nápoles AM, Schaefer AJ, Davis WN, Mackie TI, Flynn HA, and Byatt N
Subjects: Pregnancy, Female, Humans, Health Equity, Psychiatry
Abstract: This editorial presents: 1) a review of Perinatal Psychiatry Access Programs as an integrated care model with potential for promoting perinatal mental health equity; and 2) a summary of how the model has been and can be further adapted to help achieve perinatal mental health equity in geographically diverse settings. Within the editorial, we highlight Access Programs as a promising model for promoting perinatal mental health equity. This editorial is supported by original descriptive data on the Lifeline for Moms National Network of Perinatal Psychiatric Access Programs. Descriptive data is additionally provided on three statewide Access Programs. The Access Program model, and the accompanying Network of Access Programs, is a multi-level approach demonstrating promise in reducing perinatal mental health inequities. Access Programs demonstrate potential to implement interventions to address well-documented inequities in perinatal mental healthcare access at the patient-, clinician-, practice-, community-, and policy-levels. For Access Programs to leverage their potential to advance perinatal mental health equity, systematic efforts are needed that include partnership with impacted communities and implementation teams., Competing Interests: Conflict of interest This paper, The Role of Perinatal Psychiatry Access Programs in Advancing Mental Health Equity, is being submitted for review with the General Hospital Psychiatry. The article is solely under review with GHP. The authors have provided all relevant financial declarations and conflicts of interest which apply to this article., (Copyright © 2023 Elsevier Inc. All rights reserved.)
Published: 2023
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33. Editorial: Neurological and clinical aspects of perinatal mental health.

Author: Kingstone T, Tabb KM, and Wang YP
Abstract: Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Published: 2023
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34. Trends in antenatal depression and suicidal ideation diagnoses among commercially insured childbearing individuals in the United States, 2008-2018.

Author: Tabb KM, Dalton VK, Tilea A, Kolenic GE, Admon LK, Hall SV, Zhang X, Ryckman KK, and Zivin K
Subjects: Humans, Pregnancy, Female, United States epidemiology, Suicidal Ideation, Depression diagnosis, Depression epidemiology, Prevalence, Risk Factors, Depressive Disorder diagnosis, Depressive Disorder epidemiology, Pregnancy Complications diagnosis, Pregnancy Complications epidemiology
Abstract: Introduction: Antenatal depression and suicidal ideation represent serious pregnancy-related complications, yet comprehensive estimates of the prevalence and predictors of these diagnoses among birthing people remain unclear., Objective: This study aimed to characterize trends in the prevalence of depression and suicidal ideation diagnoses identified among pregnant individuals prior to giving birth., Methods: This study included 536,647 individuals aged 15-44 years continuously enrolled in a single commercial health insurance plan for one year before childbirth from 2008 to 2018. The primary outcomes included depression or suicidal ideation based on identification of the relevant ICD-9 and ICD-10 diagnosis codes during pregnancy., Results: Rates (95 % CIs) of depression increased by 39 % from 540 (520-560) per 10,000 individuals in 2008 to 750 (730-770) per 10,000 individuals in 2018. Suicidal ideation increased by 100 % from 15 (12-18) per 10,000 individuals in 2008 to 44 (39-50) per 10,000 individuals in 2018. Black birthing people experiencing the sharpest proportional increases., Conclusions: The prevalence of depression and suicidal ideation occurring during pregnancy substantially increased over a ten-year period. Further, suicidal ideation diagnosis increased the most for among Black birthing people compared to all groups, resulting in a need for future studies in this area to determine the reasons for an increase in diagnosis and any change in resulting treatment of follow up., Competing Interests: Conflict of interest No authors have conflicts of interest to disclose., (Copyright © 2022 The Authors. Published by Elsevier B.V. All rights reserved.)
Published: 2023
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35. Identifying neonatal intensive care (NICU) admissions using administrative claims data.

Author: Vance AJ, Bell S, Tilea A, Beck D, Tabb KM, and Zivin K
Subjects: Female, Humans, Infant, Newborn, Intensive Care Units, Neonatal, Retrospective Studies, Hospitalization, Intensive Care, Neonatal, Premature Birth
Abstract: Background: To define a method for identifying neonatal intensive care unit (NICU) admissions using administrative claims data., Methods: This was a retrospective cohort study using claims from Optum's de-identified Clinformatics® Data Mart Database (CDM) from 2016 -2020. We developed a definition to identify NICU admissions using a list of codes from the International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM), Current Procedural Terminology (CPT), and revenue codes frequently associated with NICU admissions. We compared agreement between codes using Kappa statistics and calculated positive predictive values (PPV) and 95% confidence intervals (CI)., Results: On average, revenue codes (3.3%) alone identified more NICU hospitalizations compared to CPT codes alone (1.5%), whereas the use of CPT and revenue (8.9%) and CPT or revenue codes (13.7%) captured the most NICU hospitalizations, which aligns with rates of preterm birth. Gestational age alone (4.2%) and birthweight codes alone (2.0%) identified the least number of potential NICU hospitalizations. Setting CPT codes as the standard and revenue codes as the "test,", revenue codes resulted in identifying 86% of NICU admissions (sensitivity) and 97% of non-NICU admissions (specificity)., Conclusions: Using administrative data, we developed a robust definition for identifying neonatal admissions. The identified definition of NICU codes is easily adaptable, repeatable, and flexible for use in other datasets.
Published: 2023
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36. WIC Staff Views and Perceptions on the Relationship between Food Insecurity and Perinatal Depression.

Author: Tabb KM, Simonovich SD, Wozniak JD, Barton JM, Hsieh WJ, Klement C, Ostrowski ME, Lakhani N, Meline BS, and Huang H
Abstract: Food insecurity and perinatal depression are significant public health concerns for perinatal services, however descriptive research examining their association is limited. The purpose of this study was to examine the views and perspectives of staff from the Special Supplemental Nutrition Program for Women, Infants and Children (WIC) program on the relationship between food insecurity and perinatal depression among their WIC clients. Four, semi-structured focus groups with WIC staff ( n = 24) were conducted across four diverse nonmetropolitan public health districts in Midwestern counties in the United States. WIC staff included social workers, nurses, nutritionists and ancillary staff. All interviews were audio-recorded, transcribed, and verified, and data were organized using NVivo 11.4.2. Thematic networking analysis was employed as the qualitative analysis to identify organizing themes. Three themes emerged including (1) depression experienced by clients; (2) food insecurity experienced by clients; and (3) barriers preventing clients from accessing services for themselves and their children. Research on food insecurity and perinatal depression is sparse, with fewer studies having included health staff of low-income women. Our findings suggest that the association between food insecurity and mental health needs among WIC clients is a significant public health issue to which policy change and interventions are required.
Published: 2022
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37. Depression moderates the association between pregnancy and suicidal ideation among pregnant and non-pregnant reproductive age women in Brazil.

Author: Faisal-Cury A, Tabb KM, Maruyama JM, and Matijasevich A
Abstract: Background: Maternal mental health problems are a serious public health concern. Previous data reported that pregnancy might have a protective effect against suicide. In contrast, more recent studies suggested that the prevalence of suicidal ideation (SI) is higher among pregnant women compared to the general population. Using a nationally representative population-based sample of Brazilian reproductive-aged women, this study aims to assess whether SI is more prevalent among pregnant women in comparison with nonpregnant woman., Methods: We used data from the Brazilian National Health Survey (PNS) of 2019, a cross-sectional study that comprised a representative sample of residents in private households in Brazil. For the analysis of this study, we selected women aged between 15 and 49 years old who have answered the questionnaire of the Selected Resident of the PNS, which comprised a sample of 27,249 women. Logistic regression models were performed to obtain crude and adjusted odds ratios (OR) and 95% confidence intervals (95%CI) for the association between pregnancy status and SI., Results: The prevalence of SI during pregnancy was 6.8% (95% CI: 6.2-7.4). The association between pregnancy status and SI was modified according to the recent clinical diagnosis of depression (interaction term: OR = 41.72, 95% CI: 5.64-308.45, p < 0.001). Our findings indicated that among nondepressed women, pregnancy status seems to decrease the probability of SI. Additionally, SI is associated with a vulnerable profile that includes being an adolescent, having an unpartnered/not married status, lower family income, lower education, and a recent clinical diagnosis of depression., Conclusion: SI is a common problem for reproductive-age women. In the presence of a recent depression clinical diagnosis, pregnancy increases the risk of SI. Management of SI among pregnant women should correctly identify sociodemographic risk factors and the presence of a recent clinical diagnosis of depression., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Faisal-Cury, Tabb, Maruyama and Matijasevich.)
Published: 2022
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38. Racial Inequities in Breastfeeding Counseling Among Pregnant People Who Use Cannabis.

Author: Nidey N, Hoyt-Austin A, Chen MJ, Bentley B, Tabb KM, Anyigbo C, Wilder C, Terplan M, McAllister JM, Wexelblatt SL, Murnan A, and Kair LR
Subjects: Humans, Pregnancy, Female, Ethnicity, White People, Counseling, Breast Feeding psychology, Cannabis
Abstract: We examined how breastfeeding advice in the context of cannabis use differed by race and ethnicity. Data from the 2017-2018 PRAMS (Pregnancy Risk Assessment Monitoring System) survey were used to assess differences in breastfeeding guidance related to cannabis use among 1,213 individuals who self-reported cannabis use 3 months before or during pregnancy. A multivariable logistic regression model was specified to examine the extent to which the odds of receiving prenatal advice against breastfeeding if using cannabis differed by self-reported race and ethnicity. We found that non-Hispanic Black people were four times more likely than non-Hispanic White people to be advised against breastfeeding if using cannabis (adjusted odds ratio 4.1, 95% CI 2.1-8.2). Pregnant non-Hispanic Black people were disproportionately advised not to breastfeed if using cannabis., Competing Interests: Financial Disclosure Melissa Chen reports receiving funding from Mayne Pharma. Scott Wexelblatt disclosed receiving funding from Abbot Nutrition. The other authors did not report any potential conflicts of interest., (Copyright © 2022 by the American College of Obstetricians and Gynecologists. Published by Wolters Kluwer Health, Inc. All rights reserved.)
Published: 2022
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39. Navigating Pregnancy and the Healthcare System during COVID-19: A Qualitative Study with Perinatal Women of Color.

Author: Hoang TH, Hsieh WJ, Lee BA, Lukacena KM, and Tabb KM
Subjects: Female, Humans, Pregnancy, Delivery of Health Care, Pandemics, Parturition, Qualitative Research, Black or African American, Indigenous Peoples, Health Inequities, Ethnic and Racial Minorities, COVID-19 epidemiology, Maternal Health Services, Healthcare Disparities
Abstract: Objective: To address health disparities in the perinatal period (i.e., during pregnancy and through one year after birth) by exploring the intersectional experiences of perinatal Black, Indigenous, and other People of Color (BIPOC) women during the COVID-19 pandemic. In this study, participants were asked if and how COVID-19 had impacted their experiences of receiving healthcare, whether they had faced any challenges during this time, how they had navigated these challenges, and what recommendations they had for improving perinatal healthcare., Methods: Between November 2021 and March 2022 our team conducted eight virtual focus groups comprising perinatal BIPOC women. A semi-structured interview protocol was used, and interviews were voice recorded and transcribed verbatim. The data were analyzed using reflexive thematic analysis., Results: Three major themes common in BIPOC perinatal healthcare experiences during COVID-19 were generated through engaging in reflexive thematic analysis: (1) an overwhelming lack of support from providers, (2) experiences of blame and shame, and (3) difficulties navigating institutional policies that were unclear or ever-changing during the COVID-19 pandemic. Recommendations from participants included greater empathic communication from providers in the face of uncertainty during COVID-19, greater access to information and guidance for caring for themselves and their babies, and an overall request for greater compassion while navigating an exciting and busy time., Relevance: These findings have implications for trauma-informed and inclusive perinatal care that can reduce the impacts of systemic inequalities for perinatal BIPOC women. This study offers a discussion of implications for future training for maternal health providers and implications for community-based programs.
Published: 2022
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40. Prenatal Depressive Symptoms, Self-Rated Health, and Diabetes Self-Efficacy: A Moderated Mediation Analysis.

Author: Lara-Cinisomo S, Loret de Mola JR, Flores-Carter K, Tabb KM, and Roloff K
Subjects: Pregnancy, Female, Humans, Mediation Analysis, Surveys and Questionnaires, Self Efficacy, Health Status, Depression epidemiology, Diabetes Mellitus epidemiology
Abstract: Background: Diabetes leads to risk for pregnant persons and their fetuses and requires behavioral changes that can be compromised by poor mental health. Poor self-rated health (SRH), a reliable predictor of morbidity and mortality, has been associated with depressive symptoms and lower self-efficacy in patients with diabetes. However, it is unclear whether SRH mediates the association between depressive symptoms and self-efficacy in pregnant patients with diabetes and whether the healthcare site moderates the mediation. Thus, we sought to test these associations in a racially and ethnically diverse sample of pregnant individuals diagnosed with diabetes from two clinical settings., Materials and Methods: This was an observational, cross-sectional study of 137 pregnant individuals diagnosed with diabetes at two clinical study sites. Participants self-administered a demographic questionnaire and measures designed to assess depressive symptoms, SRH in pregnancy, and diabetes self-efficacy. A moderated mediation model tested whether these indirect effects were moderated by the site., Results: The results show that SRH mediated the association between depressive symptoms and diabetes self-efficacy. The results also showed the site moderated the mediating effect of SRH on depressive symptoms and diabetes self-efficacy., Conclusions: Understanding the role of clinical care settings can help inform when and how SRH mediates that association between prenatal depressive symptoms and self-efficacy in diabetic patients.
Published: 2022
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41. The Association between NICU Admission and Mental Health Diagnoses among Commercially Insured Postpartum Women in the US, 2010-2018.

Author: Beck DC, Tabb KM, Tilea A, Hall SV, Vance A, Patrick SW, Schroeder A, and Zivin K
Abstract: Maternal mental health (MH) conditions represent a leading cause of preventable maternal death in the US. Neonatal Intensive Care Unit (NICU) hospitalization influences MH symptoms among postpartum women, but a paucity of research uses national samples to explore this relationship. Using national administrative data, we examined the rates of MH diagnoses of anxiety and/or depression among those with and without an infant admitted to a NICU between 2010 and 2018. Using generalized estimating equation models, we explored the relationship between NICU admission and MH diagnoses of anxiety and/or depression, secondarily examining the association of NICU length of stay and race/ethnicity with MH diagnoses of anxiety and/or depression post NICU admission. Women whose infants became hospitalized in the NICU for <2 weeks had 19% higher odds of maternal MH diagnoses (aOR: 1.19, 95% CI: 1.14%−1.24%) and those whose infants became hospitalized for >2 weeks had 37% higher odds of maternal MH diagnoses (aOR: 1.37 95% CI: 1.128%−1.47%) compared to those whose infants did not have a NICU hospitalization. In adjusted analyses, compared to white women, all other race/ethnicities had significantly lower odds of receiving a maternal MH condition diagnosis [Black (aOR = 0.76, 0.73−0.08), Hispanic (aOR = 0.69, 0.67−0.72), and Asian (aOR: 0.32, 0.30−0.34)], despite higher rates of NICU hospitalization. These findings suggest a need to target the NICU to improve maternal MH screening, services, and support while acknowledging the influence of social determinants, including race and ethnicity, on health outcomes.
Published: 2022
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42. Patient engagement to examine perceptions of perinatal depression screening with the capabilities, opportunities, motivation, and behaviors (COM-B) model.

Author: Tabb KM, Hsieh WJ, Sung JS, Hoang TMH, Deichen Hansen ME, Lux E, and Huang WD
Abstract: Background: Perinatal (during pregnancy and up until one year after birth) depression is one of the most common medical complications of pregnancy and is a major public health issue. The common early detection method to identify depression is to systematically administer depression screens to patients during their usual care clinic encounters. This study investigates how prenatal patients perceive depression screening and how screening informs their treatment to meet the specific needs of different racial and ethnic groups within both community and health care settings., Methods: Between June 2019 and August 2019, semi-structured in-depth interviews were conducted to explore participants' experiences of depression screening with the Edinburgh Postnatal Depression Scale (EPDS). Perinatal women ( N = 29) consented to participate in-depth, one-on-one qualitative interviews. Trained patient-researchers ( n = 6), women who had previously experienced a perinatal mental health problem, were trained as research team members and facilitated the interviews alongside a research assistant. All interviews were recorded and transcribed verbatim. Data was analyzed with the use of Nvivo12. Thematic network analysis was used to analyze the data., Results: Through the in-depth patient engaged qualitative interviews this study uncovered several specific motivators and behaviors related to perinatal depression screening. Using directed content analysis, several themes within a COM-B frame emerged and could be reduced to themes and further divided into two different stages: the depression screening stage and the post-screening stage., Conclusions: The results of this qualitative study provide information for health care providers to improve, adjust, and assess the process of conducting perinatal depression screening among women. The data also provide information for health care facilities to identify a better screening tool and develop and measure their screening process. These findings are essential to design comprehensive patient-centered screening protocols given the increase in state and federal policies urging universal depression screening., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Tabb, Hsieh, Sung, Hoang, Deichen Hansen, Lux and Huang.)
Published: 2022
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43. Potential Pathways From Peer Victimization to Alcohol Use Among Biracial Adolescents: The Intervening Role of Parental Support.

Author: Hong JS, Yan Y, Clark Goings TT, Takahashi LM, Tabb KM, and Voisin DR
Subjects: Adolescent, Child, Humans, Parents, Peer Group, Risk Factors, United States, Bullying, Crime Victims
Abstract: Background: This study examined pathways from peer victimization to alcohol use and the role of parental support in mediating potential peer effects among biracial youth. Given a significant dearth of research on biracial youth, this study addresses this significant gap in the extant literature., Methods: Secondary data analyses were conducted using the Health Behavior in School-Aged Children (HBSC) study in the United States. This study enrolled 492 self-identified biracial school-aged youth using a nationally representative sampling of public and private schools., Results: Structural equation modeling was computed to test the mediational effects of low number of close friends, affiliation with delinquent friends, and parental support on alcohol use. Major findings indicated that affiliation with delinquent friends was correlated with higher alcohol use, higher levels of parental support were correlated with lower peer victimization, and higher levels of parental support were negatively correlated with affiliation with delinquent peers and alcohol use., Conclusions: Parental and peer effects remain salient for biracial youth who are navigating adolescence and experiencing peer victimization. School-based interventions that include parents and friends of biracial youth are likely to be effective in reducing peer victimization and its negative sequelae., (© 2022, American School Health Association.)
Published: 2022
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44. Faith Practices Reduce Perinatal Anxiety and Depression in Muslim Women: A Mixed-Methods Scoping Review.

Author: Simonovich SD, Quad N, Kanji Z, and Tabb KM
Abstract: Higher rates of depression and anxiety are reported among women who belong to racial and ethnic minority groups, contributing to adverse birth outcomes, and remains a taboo topic within the global Muslim community. Non-pharmacological coping mechanisms such as prayer may be employed to reduce perinatal depression and anxiety, however the literature is sparse on the use of this intervention among pregnant Muslim women. Therefore, we aimed to conduct a scoping review examining the use of Muslim faith practices on anxiety and depression in perinatal period. Nine studies were identified that demonstrate that Muslim faith practices reduce perinatal anxiety and depression symptoms. These studies demonstrate that prayers and other faith-based practices, including reciting parts of the Quran, saying a Dua, and listening to audio recordings of prayers are all effective in decreasing anxiety, depression, stress, pain and fear in Muslim women during pregnancy, during childbirth, during an unexpected cesarean section, and when experiencing infant loss. Despite the scoping review's small sample size, findings confirm that incorporation of faith practices effectively reduces perinatal depression and anxiety among Muslim women and should be utilized in clinical settings for non-pharmacological management of perinatal mood disorders., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Simonovich, Quad, Kanji and Tabb.)
Published: 2022
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45. Home Visiting as an Equitable Intervention for Perinatal Depression: A Scoping Review.

Author: Tabb KM, Bentley B, Pineros Leano M, Simonovich SD, Nidey N, Ross K, Huang WD, and Huang H
Abstract: Objective: Maternal mental health disorders are a leading complication of childbirth. While few systems are adequately able to identify and treat depression, people experiencing perinatal depression may benefit from the intervention of home visiting. The intent of home visiting interventions is to alleviate stressors of parenthood for people facing additional risk factors. The aim of this scoping review is to investigate the effect of home visiting on perinatal depression grounded in published studies., Methods: We conducted a scoping review of the existing literature of studies relevant to perinatal depression and home visiting. We entered keywords in five search databases: MEDLINE, PsycInfo, CINAHL, Social Work Abstracts, and Google Scholar. All relevant literature published between January 1999-December 2019 was reviewed. Duplicates, books, and errata were excluded from the study. As a scoping review, we included all studies published in English describing the inclusion of maternal depression in home visits. We hypothesize birthing people with perinatal depression will benefit from home visiting interventions., Results: The results from the scoping review and describe the use of home visiting to improve perinatal mental health. An initial 12,652 records were identified in the search. After duplicates were removed, the titles of 2,140 articles were assessed for applicability, however 29 identified for full-text eligibility and were included in this analysis. The majority of the studies included in this review were quantitative ( n = 23), followed by qualitative ( n = 3), and mixed methods ( n = 3). Nearly all studies ( n = 28) using validated instruments such as the Edinburgh Postnatal Depression Scale to determine depressive symptoms., Discussion: This review offers preliminary qualitative insights on the efficacy of home visiting for administrating perinatal depression care. Studies show that home visiting programs can provide treatment for perinatal depression and reduce the effects of depression for birthing people. Our review suggests that the efficacy of home visiting programs beginning in the postpartum period are less predictable than prenatal home visiting intervention among various populations, including people experiencing both high-risk and low-risk situations., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Tabb, Bentley, Pineros Leano, Simonovich, Nidey, Ross, Huang and Huang.)
Published: 2022
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46. Meta-Analysis Of Antenatal Depression And Adverse Birth Outcomes In US Populations, 2010-20.

Author: Simonovich SD, Nidey NL, Gavin AR, Piñeros-Leaño M, Hsieh WJ, Sbrilli MD, Ables-Torres LA, Huang H, Ryckman K, and Tabb KM
Subjects: Depression epidemiology, Female, Humans, Mental Health, Pregnancy, Pregnancy Outcome epidemiology, Depressive Disorder, Pregnancy Complications epidemiology
Abstract: Untreated depression presents a distinct set of risks for pregnancy complications. Past studies have connected antenatal depression with adverse birth outcomes. The purpose of this study was to conduct an updated systematic review and meta-analysis examining the relationship between depression during pregnancy and associated adverse birth outcomes in US populations during the period 2010-20. As a trend, disparities in adverse pregnancy outcomes and maternal morbidities for Black pregnant people compared with those for White pregnant people continue to rise. Addressing mental health conditions during pregnancy has the potential to ameliorate a large and excessive burden on adverse birth outcomes among childbearing people and their offspring. Policy solutions to encourage, mandate, and reimburse universal depression screening during pregnancy are warranted.
Published: 2021
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47. Patients' Perceptions Of Perinatal Depression Screening: A Qualitative Study.

Author: Hsieh WJ, Sbrilli MD, Huang WD, Hoang TM, Meline B, Laurent HK, and Tabb KM
Subjects: Female, Humans, Mass Screening, Parturition, Perception, Pregnancy, Qualitative Research, Depression diagnosis, Depressive Disorder
Abstract: Screening for perinatal depression is a clinical approach to identifying women in need of mental health diagnoses, referral, and treatment. Many states mandate screening for perinatal depression, but it remains unclear whether screening leads to increased access to treatment and better health outcomes. The aim of this qualitative study was to identify how women from diverse backgrounds perceive the quality of perinatal depression screening and whether the perceived quality affected their decisions about mental health care. During 2019 a sample of twenty-nine participants who had been screened for perinatal depression completed semistructured in-depth interviews in which they were asked for their impressions of the screening process. Common themes were that the screening was ineffective because providers didn't explain the purpose or uses of the screening tool, didn't tell patients anything about the results, and failed to provide any follow-up relating to patient depression scores. The results suggest the need for health care facilities to engage patients in a dialogue about screening results and for health care delivery systems to refine the screening process. These findings offer a foundation to design more comprehensive, patient-centered screening protocols that might result in improved mental health outcomes.
Published: 2021
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48. Trends in Suicidality 1 Year Before and After Birth Among Commercially Insured Childbearing Individuals in the United States, 2006-2017.

Author: Admon LK, Dalton VK, Kolenic GE, Ettner SL, Tilea A, Haffajee RL, Brownlee RM, Zochowski MK, Tabb KM, Muzik M, and Zivin K
Subjects: Adolescent, Adult, Black or African American statistics & numerical data, Age Factors, Comorbidity, Cross-Sectional Studies, Female, Humans, Income statistics & numerical data, Insurance, Health, Prevalence, Suicide, Attempted trends, United States, Young Adult, Delivery, Obstetric statistics & numerical data, Mental Disorders epidemiology, Suicidal Ideation, Suicide, Attempted statistics & numerical data
Abstract: Importance: Suicide deaths are a leading cause of maternal mortality in the US, yet the prevalence and trends in suicidality (suicidal ideation and/or intentional self-harm) among childbearing individuals remain poorly described., Objective: To characterize trends in suicidality among childbearing individuals., Design, Setting, and Participants: This serial cross-sectional study analyzed data from a medical claims database for a large commercially insured population in the US from January 2006 to December 2017. There were 2714 diagnoses of suicidality 1 year before or after 698 239 deliveries among 595 237 individuals aged 15 to 44 years who were continuously enrolled in a single commercial health insurance plan. Data were analyzed from October 2019 to September 2020., Main Outcomes and Measures: The primary outcome was diagnosis of suicidality in childbearing individuals 1 year before or after birth based on the identification of relevant International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) and ICD-10-CM diagnosis codes during at least 1 inpatient or 2 outpatient visits., Results: Of 595 237 included childbearing individuals, the mean (SD) age at delivery was 31.9 (6.4) years. A total of 40 568 individuals (6.8%) were Asian, 52 613 (8.6%) were Black, 73 172 (12.1%) were Hispanic, 369 501 (63.1%) were White, and 59 383 (9.5%) had unknown or missing race/ethnicity data. A total of 2683 individuals were diagnosed with suicidality 1 year before or after giving birth for a total of 2714 diagnoses. The prevalence of suicidal ideation increased from 0.1% per 100 individuals in 2006 to 0.5% per 100 individuals in 2017 (difference, 0.4%; SE, 0.03; P < .001). Intentional self-harm prevalence increased from 0.1% per 100 individuals in 2006 to 0.2% per 100 individuals in 2017 (difference, 0.1%; SE, 0.02; P < .001). Suicidality prevalence increased from 0.2% per 100 individuals in 2006 to 0.6% per 100 individuals in 2017 (difference, 0.4%; SE, 0.04; P < .001). Diagnoses of suicidality with comorbid depression or anxiety increased from 1.2% per 100 individuals in 2006 to 2.6% per 100 individuals in 2017 (difference, 1.4%; SE, 0.2; P < .001). Diagnoses of suicidality with comorbid bipolar or psychotic disorders increased from 6.9% per 100 individuals in 2006 to 16.9% per 100 individuals in 2017 (difference, 10.1%; SE, 0.2; P < .001). Non-Hispanic Black individuals, individuals with lower income, and younger individuals experienced larger increases in suicidality over the study period., Conclusions and Relevance: In this cross-sectional study of US childbearing individuals, the prevalence of suicidal ideation and intentional self-harm occurring in the year preceding or following birth increased substantially over a 12-year period. Policy makers, health plans, and clinicians should ensure access to universal suicidality screening and appropriate treatment for pregnant and postpartum individuals and seek health system and policy avenues to mitigate this growing public health crisis, particularly for high-risk groups.
Published: 2021
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49. The Effectiveness of Collaborative Care on Depression Outcomes for Racial/Ethnic Minority Populations in Primary Care: A Systematic Review.

Author: Hu J, Wu T, Damodaran S, Tabb KM, Bauer A, and Huang H
Subjects: Depression therapy, Humans, Primary Health Care, Racial Groups, United States, Ethnicity, Minority Groups
Abstract: Background: Racial/ethnic minorities experience a greater burden of mental health problems than white adults in the United States. The collaborative care model is increasingly being adopted to improve access to services and to promote diagnosis and treatment of psychiatric diseases., Objective: This systematic review seeks to summarize what is known about collaborative care on depression outcomes for racial/ethnic minorities in the United States., Methods: This review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses method. Collaborative care studies were included if they comprised adults from at least one racial/ethnic minority group, were located in primary care clinics in the United States, and had depression outcome measures. Core principles described by the University of Washington Advancing Integrated Mental Health Solutions Center were used to define the components of collaborative care., Results: Of 398 titles screened, 169 full-length articles were assessed for eligibility, and 19 studies were included in our review (10 randomized controlled trials, 9 observational). Results show there is potential that collaborative care, with or without cultural/linguistic tailoring, is effective in improving depression for racial/ethnic minorities, including those from low socioeconomic backgrounds., Conclusions: Collaborative care should be explored as an intervention for treating depression for racial/ethnic minority patients in primary care. Questions remain as to what elements of cultural adaptation are most helpful, factors behind the difficulty in recruiting minority patients for these studies, and how the inclusion of virtual components changes access to and delivery of care. Future research should also recruit individuals from less studied populations., (Copyright © 2020 Academy of Consultation-Liaison Psychiatry. Published by Elsevier Inc. All rights reserved.)
Published: 2020
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50. Association of Mood and Anxiety Disorders and Opioid Prescription Patterns Among Postpartum Women.

Author: Nidey N, Carnahan R, Carter KD, Strathearn L, Bao W, Greiner A, Jelliffee-Pawlowski L, Tabb KM, and Ryckman K
Subjects: Adult, Anxiety Disorders psychology, Cesarean Section, Female, Humans, Logistic Models, Middle Aged, Mood Disorders psychology, Pain etiology, Pain psychology, Pregnancy, Puerperal Disorders etiology, Puerperal Disorders psychology, Retrospective Studies, Risk Factors, Analgesics, Opioid therapeutic use, Anxiety Disorders complications, Mood Disorders complications, Pain drug therapy, Puerperal Disorders drug therapy
Abstract: Background and Objectives: Postpartum women represent a large population with opioid exposure who also have an increased risk of experiencing mood and anxiety disorders. However, the effect that mood and anxiety disorders have on opioid use postpartum has received little attention in the literature. Therefore, the objective of this study was to examine the association of mood and anxiety disorders with filling opioid prescriptions within the first 3 months postpartum., Methods: A retrospective cohort study (n = 25 279) was completed using claims data for a sample of privately insured women who gave birth in the state of Iowa. The interactive effects of mood and anxiety disorders and delivery mode on filling at least one and two or more opioid prescriptions were examined in logistic regression models., Results: The presence of mood and anxiety disorders among women who delivered vaginally increased their odds of filling at least one opioid fill by nearly 50% (odds ratio [OR]: 1.48, 95% confidence interval [CI]: 1.35-1.63) and by 20% (OR: 1.20, 95% CI: 1.00-1.43) among women with cesarean delivery., Discussion and Conclusion: Postpartum women with mood and anxiety disorders were more likely to fill opioid prescriptions postpartum compared to women without these conditions., Scientific Significance: This study extends prior research by examining the intersection of risk of mood and anxiety disorders and opioid use postpartum. Findings from this study support the need for future research to identify the drivers of increased opioid use among postpartum women with mood and anxiety disorders. (Am J Addict 2020;29:463-470)., (© 2020 American Academy of Addiction Psychiatry.)
Published: 2020
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