389 results on '"Barquera, S"'
Search Results
2. Reliability and validity of the Mexican teachers’ physical activity questionnaire (MTPAQ) in a subsample of female Mexican teachers
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Medina, C., Monge, A., Romero, M., López-Ridaura, R., Barquera, S., Romieu, I., Denova-Gutiérrez, E., and Lajous, M.
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- 2021
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3. CHANGES IN THE BODY MASS INDEX AND WAIST CIRCUMFERENCE DISTRIBUTION OF ADULTS AGED 25–64 YEARS IN ENGLAND, SCOTLAND, AND THE UNITED STATES, 1998–2012
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Scholes, S, Moody, A, Alfaro, T, Frenz, P, Dominguez, A, Sanchez-Romero, L, Vecino-Ortiz, 4A, Borges, C, Margozzini, P, Mindell, J, Cabrera, S, Barquera, S, and de Oliveira, C
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- 2016
4. Analysis of Electrochemical Impedance and Noise Data for AISI-310 Exposed to Lithium Bromide Solution
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Cuevas-Arteaga, C., Brito, M. Luna, Molina-Ocampo, A., Colín, J., Serna-Barquera, S., and Torres-Islas, A.
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- 2013
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5. Global, regional, and national burden of chronic kidney disease, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017
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Bikbov, B, Purcell, CA, Levey, AS, Smith, M, Abdoli, A, Abebe, M, Adebayo, OM, Afarideh, M, Agarwal, SK, Agudelo-Botero, M, Ahmadian, E, Al-Aly, Z, Alipour, V, Almasi-Hashiani, A, Al-Raddadi, RM, Alvis-Guzman, N, Amini, S, Andrei, T, Andrei, CL, Andualem, Z, Anjomshoa, M, Arabloo, J, Ashagre, AF, Asmelash, D, Ataro, Z, Atout, MMW, Ayanore, MA, Badawi, A, Bakhtiari, A, Ballew, SH, Balouchi, A, Banach, M, Barquera, S, Basu, S, Bayih, MT, Bedi, N, Bello, AK, Bensenor, IM, Bijani, A, Boloor, A, Borzì, AM, Cámera, LA, Carrero, JJ, Carvalho, F, Castro, F, Catalá-López, F, Chang, AR, Chin, KL, Chung, SC, Cirillo, M, Cousin, E, Dandona, L, Dandona, R, Daryani, A, Das Gupta, R, Demeke, FM, Demoz, GT, Desta, DM, Do, HP, Duncan, BB, Eftekhari, A, Esteghamati, A, Fatima, SS, Fernandes, JC, Fernandes, E, Fischer, F, Freitas, M, Gad, MM, Gebremeskel, GG, Gebresillassie, BM, Geta, B, Ghafourifard, M, Ghajar, A, Ghith, N, Gill, PS, Ginawi, IA, Gupta, R, Hafezi-Nejad, N, Haj-Mirzaian, A, Hariyani, N, Hasan, M, Hasankhani, M, Hasanzadeh, A, Hassen, HY, Hay, SI, Heidari, B, Herteliu, C, Hoang, CL, Hosseini, M, Hostiuc, M, Irvani, SSN, Islam, SMS, Jafari Balalami, N, James, SL, Jassal, SK, Jha, V, Jonas, JB, Joukar, F, Jozwiak, JJ, Kabir, A, Kahsay, A, Kasaeian, A, Kassa, TD, Kassaye, HG, Khader, YS, Khalilov, R, Khan, EA, Khan, MS, Khang, YH, Kisa, A, Kovesdy, CP, Kuate Defo, B, Kumar, GA, Larsson, AO, Lim, LL, Lopez, AD, Lotufo, PA, Majeed, A, Malekzadeh, R, März, W, Masaka, A, Meheretu, HAA, Miazgowski, T, Mirica, A, Mirrakhimov, EM, Mithra, P, Moazen, B, Mohammad, DK, Mohammadpourhodki, R, Mohammed, S, Mokdad, AH, Morales, L, Moreno Velasquez, I, Mousavi, SM, Mukhopadhyay, S, Nachega, JB, Nadkarni, GN, Nansseu, JR, Natarajan, G, Nazari, J, Neal, B, Negoi, RI, Nguyen, CT, Nikbakhsh, R, Noubiap, JJ, Nowak, C, Olagunju, AT, Ortiz, A, Owolabi, MO, Palladino, R, Pathak, M, Poustchi, H, Prakash, S, Prasad, N, Rafiei, A, Raju, SB, Ramezanzadeh, K, Rawaf, S, Rawaf, DL, Rawal, L, Reiner RC, Rezapour, A, Ribeiro, DC, Roever, L, Rothenbacher, D, Rwegerera, GM, Saadatagah, S, Safari, S, Sahle, BW, Salem, H, Sanabria, J, Santos, IS, Sarveazad, A, Sawhney, M, Schaeffner, E, Schmidt, MI, Schutte, AE, Sepanlou, SG, Shaikh, MA, Sharafi, Z, Sharif, M, Sharifi, A, Silva, DAS, Singh, JA, Singh, NP, Sisay, MMM, Soheili, A, Sutradhar, I, Teklehaimanot, BF, Tesfay, BE, Teshome, GF, Thakur, JS, Tonelli, M, Tran, KB, Tran, BX, Tran Ngoc, C, Ullah, I, Valdez, PR, Varughese, S, Vos, T, Vu, LG, Waheed, Y, Werdecker, A, Wolde, HF, Wondmieneh, AB, Wulf Hanson, S, Yamada, T, Yeshaw, Y, Yonemoto, N, Yusefzadeh, H, Zaidi, Z, Zaki, L, Zaman, SB, Zamora, N, Zarghi, A, Zewdie, KA, Ärnlöv, J, Coresh, J, Perico, N, Remuzzi, G, Murray, CJL, Vos, T., Veritati - Repositório Institucional da Universidade Católica Portuguesa, Bikbov, B, Purcell, Ca, Levey, A, Smith, M, Abdoli, A, Abebe, M, Adebayo, Om, Afarideh, M, Agarwal, Sk, Agudelo-Botero, M, Ahmadian, E, Al-Aly, Z, Alipour, V, Almasi-Hashiani, A, Al-Raddadi, Rm, Alvis-Guzman, N, Amini, S, Andrei, T, Andrei, Cl, Andualem, Z, Anjomshoa, M, Arabloo, J, Ashagre, Af, Asmelash, D, Ataro, Z, Atout, Mmw, Ayanore, Ma, Badawi, A, Bakhtiari, A, Ballew, Sh, Balouchi, A, Banach, M, Barquera, S, Basu, S, Bayih, Mt, Bedi, N, Bello, Ak, Bensenor, Im, Bijani, A, Boloor, A, Borzì, Am, Cámera, La, Carrero, Jj, Carvalho, F, Castro, F, Catalá-López, F, Chang, Ar, Chin, Kl, Chung, Sc, Cirillo, M, Cousin, E, Dandona, L, Dandona, R, Daryani, A, Das, Gupta, R, Demeke, Fm, Demoz, Gt, Desta, Dm, Do, Hp, Duncan, Bb, Eftekhari, A, Esteghamati, A, Fatima, S, Fernandes, Jc, Fernandes, E, Fischer, F, Freitas, M, Gad, Mm, Gebremeskel, Gg, Gebresillassie, Bm, Geta, B, Ghafourifard, M, Ghajar, A, Ghith, N, Gill, P, Ginawi, Ia, Gupta, R, Hafezi-Nejad, N, Haj-Mirzaian, A, Hariyani, N, Hasan, M, Hasankhani, M, Hasanzadeh, A, Hassen, Hy, Hay, Si, Heidari, B, Herteliu, C, Hoang, Cl, Hosseini, M, Hostiuc, M, Irvani, Ssn, Islam, Sm, Jafari, Balalami, N, James, Sl, Jassal, Sk, Jha, V, Jonas, Jb, Joukar, F, Jozwiak, Jj, Kabir, A, Kahsay, A, Kasaeian, A, Kassa, Td, Kassaye, Hg, Khader, Y, Khalilov, R, Khan, Ea, Khan, M, Khang, Yh, Kisa, A, Kovesdy, Cp, Kuate, Defo, B, Kumar, Ga, Larsson, Ao, Lim, Ll, Lopez, Ad, Lotufo, Pa, Majeed, A, Malekzadeh, R, März, W, Masaka, A, Meheretu, Haa, Miazgowski, T, Mirica, A, Mirrakhimov, Em, Mithra, P, Moazen, B, Mohammad, Dk, Mohammadpourhodki, R, Mohammed, S, Mokdad, Ah, Morales, L, Moreno, Velasquez, I, Mousavi, Sm, Mukhopadhyay, S, Nachega, Jb, Nadkarni, Gn, Nansseu, Jr, Natarajan, G, Nazari, J, Neal, B, Negoi, Ri, Nguyen, Ct, Nikbakhsh, R, Noubiap, Jj, Nowak, C, Olagunju, At, Ortiz, A, Owolabi, Mo, Palladino, R, Pathak, M, Poustchi, H, Prakash, S, Prasad, N, Rafiei, A, Raju, Sb, Ramezanzadeh, K, Rawaf, S, Rawaf, Dl, Rawal, L, Reiner, Rc, Jr, Rezapour, A, Ribeiro, Dc, Roever, L, Rothenbacher, D, Rwegerera, Gm, Saadatagah, S, Safari, S, Sahle, Bw, Salem, H, Sanabria, J, Santos, I, Sarveazad, A, Sawhney, M, Schaeffner, E, Schmidt, Mi, Schutte, Ae, Sepanlou, Sg, Shaikh, Ma, Sharafi, Z, Sharif, M, Sharifi, A, Silva, Da, Singh, Ja, Singh, Np, Sisay, Mmm, Soheili, A, Sutradhar, I, Teklehaimanot, Bf, Tesfay, Be, Teshome, Gf, Thakur, J, Tonelli, M, Tran, Kb, Tran, Bx, Tran, Ngoc, Ullah, I, Valdez, Pr, Varughese, S, Vos, T, Vu, Lg, Waheed, Y, Werdecker, A, Wolde, Hf, Wondmieneh, Ab, Wulf, Hanson, S, Yamada, T, Yeshaw, Y, Yonemoto, N, Yusefzadeh, H, Zaidi, Z, Zaki, L, Zaman, Sb, Zamora, N, Zarghi, A, Zewdie, Ka, Ärnlöv, J, Coresh, J, Perico, N, Remuzzi, G, Murray, Cjl, Vos, T., and GBD Chronic Kidney Disease Collaboration
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Systems Analysis ,Gout ,Cost effectiveness ,030204 cardiovascular system & hematology ,Global Health ,GLOMERULAR-FILTRATION-RATE ,Global Burden of Disease ,COST-EFFECTIVENESS ,0302 clinical medicine ,Cause of Death ,Prevalence ,Global health ,Diabetic Nephropathies ,Registries ,030212 general & internal medicine ,SUB-SAHARAN AFRICA ,11 Medical and Health Sciences ,Incidence ,Mortality rate ,1. No poverty ,General Medicine ,Hälsovetenskaper ,GBD Chronic Kidney Disease Collaboration ,CKD-EPI EQUATION ,3. Good health ,Europe ,Cardiovascular Diseases ,Quality-Adjusted Life Years ,Life Sciences & Biomedicine ,Asia ,Oceania ,195 COUNTRIES ,ATHEROSCLEROSIS RISK ,CARDIOVASCULAR OUTCOMES ,Risk Assessment ,Article ,03 medical and health sciences ,Medicine, General & Internal ,SDG 3 - Good Health and Well-being ,RISK-FACTOR ,General & Internal Medicine ,Environmental health ,Health Sciences ,medicine ,Humans ,GBD, chronic kidney disease ,Mortality ,Risk factor ,Renal Insufficiency, Chronic ,Disease burden ,QM ,Science & Technology ,Australasia ,business.industry ,PERIPHERAL ARTERIAL-DISEASE ,Bayes Theorem ,medicine.disease ,Health Surveys ,Quality-adjusted life year ,RENAL-DISEASE ,Latin America ,Years of potential life lost ,Africa ,North America ,Human medicine ,business ,RC ,Kidney disease - Abstract
Background Health system planning requires careful assessment of chronic kidney disease (CKD) epidemiology, but data for morbidity and mortality of this disease are scarce or non-existent in many countries. We estimated the global, regional, and national burden of CKD, as well as the burden of cardiovascular disease and gout attributable to impaired kidney function, for the Global Burden of Diseases, Injuries, and Risk Factors Study 2017. We use the term CKD to refer to the morbidity and mortality that can be directly attributed to all stages of CKD, and we use the term impaired kidney function to refer to the additional risk of CKD from cardiovascular disease and gout. Methods The main data sources we used were published literature, vital registration systems, end-stage kidney disease registries, and household surveys. Estimates of CKD burden were produced using a Cause of Death Ensemble model and a Bayesian meta-regression analytical tool, and induded incidence, prevalence, years lived with disability, mortality, years of life lost, and disability-adjusted life-years (DALYs). A comparative risk assessment approach was used to estimate the proportion of cardiovascular diseases and gout burden attributable to impaired kidney function. Findings Globally, in 2017,1.2 million (95% uncertainty interval [UI] 1.2 to 1.3) people died from CKD. The global all-age mortality rate from CKD increased 41.5% (95% UI 35.2 to 46.5) between 1990 and 2017, although there was no significant change in the age-standardised mortality rate (2.8%, -1.5 to 6.3). In 2017,697.5 million (95% UI 649.2 to 752.0) cases of all-stage CKD were recorded, for a global prevalence of 9.1% (8.5 to 9.8). The global all-age prevalence of CKD increased 29.3% (95% UI 26.4 to 32.6) since 1990, whereas the age-standardised prevalence remained stable (1.2%, -1.1 to 3.5). CKD resulted in 35.8 million (95% UI 33.7 to 38.0) DALYs in 2017, with diabetic nephropathy accounting for almost a third of DALYs. Most of the burden of CKD was concentrated in the three lowest quintiles of Socio-demographic Index (SDI). In several regions, particularly Oceania, sub-Saharan Africa, and Latin America, the burden of CKD was much higher than expected for the level of development, whereas the disease burden in western, eastern, and central sub-Saharan Africa, east Asia, south Asia, central and eastern Europe, Australasia, and western Europe was lower than expected. 1.4 million (95% UI 1.2 to 1.6) cardiovascular disease-related deaths and 25.3 million (22.2 to 28.9) cardiovascular disease DALYs were attributable to impaired kidney function. Interpretation Kidney disease has a major effect on global health, both as a direct cause of global morbidity and mortality and as an important risk factor for cardiovascular disease. CKD is largely preventable and treatable and deserves greater attention in global health policy decision making, particularly in locations with low and middle SDI. Copyright (C) 2020 The Author(s). Published by Elsevier Ltd.
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- 2020
6. Child overweight and obesity are associated with reduced executive cognitive performance and brain alterations: a magnetic resonance imaging study in Mexican children
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Bauer, C. C. C., Moreno, B., González-Santos, L., Concha, L., Barquera, S., and Barrios, F. A.
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- 2015
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7. Hypertension in Mexico and among Mexican Americans: prevalence and treatment patterns
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Barquera, S, Durazo-Arvizu, R A, Luke, A, Cao, G, and Cooper, R S
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- 2008
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8. Association between diabetes mellitus and hypertension with anthropometric indicators in older adults: Results of the Mexican Health Survey, 2000
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Sanchez-Viveros, S., Barquera, S., Medina-Solis, C. E., Velazquez-Alva, M. C., and Valdez, R.
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- 2008
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9. The overlap of overweight and anaemia among women in three countries undergoing the nutrition transition
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Eckhardt, C L, Torheim, L E, Monterrubio, E, Barquera, S, and Ruel, M T
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- 2008
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10. Mexico attempts to tackle obesity: the process, results, push backs and future challenges
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Barquera, S., Campos, I., and Rivera, J. A.
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- 2013
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11. Monitoring the impacts of trade agreements on food environments
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Friel, S., Hattersley, L., Snowdon, W., Thow, A.-M., Lobstein, T., Sanders, D., Barquera, S., Mohan, S., Hawkes, C., Kelly, B., Kumanyika, S., LʼAbbe, M., Lee, A., Ma, J., Macmullan, J., Monteiro, C., Neal, B., Rayner, M., Sacks, G., Swinburn, B., Vandevijvere, S., and Walker, C.
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- 2013
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12. Monitoring the health-related labelling of foods and non-alcoholic beverages in retail settings
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Rayner, M., Wood, A., Lawrence, M., Mhurchu, C. N., Albert, J., Barquera, S., Friel, S., Hawkes, C., Kelly, B., Kumanyika, S., LʼAbbé, M., Lee, A., Lobstein, T., Ma, J., Macmullan, J., Mohan, S., Monteiro, C., Neal, B., Sacks, G., Sanders, D., Snowdon, W., Swinburn, B., Vandevijvere, S., and Walker, C.
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- 2013
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13. Monitoring the price and affordability of foods and diets globally
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Lee, A., Mhurchu, C. N., Sacks, G., Swinburn, B., Snowdon, W., Vandevijvere, S., Hawkes, C., LʼAbbé, M., Rayner, M., Sanders, D., Barquera, S., Friel, S., Kelly, B., Kumanyika, S., Lobstein, T., Ma, J., Macmullan, J., Mohan, S., Monteiro, C., Neal, B., and Walker, C.
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- 2013
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14. Monitoring foods and beverages provided and sold in public sector settings
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LʼAbbé, M., Schermel, A., Minaker, L., Kelly, B., Lee, A., Vandevijvere, S., Twohig, P., Barquera, S., Friel, S., Hawkes, C., Kumanyika, S., Lobstein, T., Ma, J., Macmullan, J., Mohan, S., Monteiro, C., Neal, B., Rayner, M., Sacks, G., Sanders, D., Snowdon, W., Swinburn, B., and Walker, C.
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- 2013
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15. Monitoring policy and actions on food environments: rationale and outline of the INFORMAS policy engagement and communication strategies
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Brinsden, H., Lobstein, T., Landon, J., Kraak, V., Sacks, G., Kumanyika, S., Swinburn, B., Barquera, S., Friel, S., Hawkes, C., Kelly, B., LʼAbbé, M., Lee, A., Ma, J., Macmullen, J., Mohan, S., Monteiro, C., Neal, B., Rayner, M., Sanders, D., Snowdon, W., Vandevijvere, S., and Walker, C.
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- 2013
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16. Monitoring food and non-alcoholic beverage promotions to children
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Kelly, B., King, L., Baur, L., Rayner, M., Lobstein, T., Monteiro, C., Macmullan, J., Mohan, S., Barquera, S., Friel, S., Hawkes, C., Kumanyika, S., LʼAbbé, M., Lee, A., Ma, J., Neal, B., Sacks, G., Sanders, D., Snowdon, W., Swinburn, B., Vandevijvere, S., and Walker, C.
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- 2013
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17. Monitoring the levels of important nutrients in the food supply
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Neal, B., Sacks, G., Swinburn, B., Vandevijvere, S., Dunford, E., Snowdon, W., Webster, J., Barquera, S., Friel, S., Hawkes, C., Kelly, B., Kumanyika, S., LʼAbbé, M., Lee, A., Lobstein, T., Ma, J., Macmullan, J., Mohan, S., Monteiro, C., Rayner, M., Sanders, D., and Walker, C.
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- 2013
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18. INFORMAS (International Network for Food and Obesity/non-communicable diseases Research, Monitoring and Action Support): overview and key principles
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Swinburn, B., Sacks, G., Vandevijvere, S., Kumanyika, S., Lobstein, T., Neal, B., Barquera, S., Friel, S., Hawkes, C., Kelly, B., LʼAbbé, M., Lee, A., Ma, J., Macmullan, J., Mohan, S., Monteiro, C., Rayner, M., Sanders, D., Snowdon, W., and Walker, C.
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- 2013
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19. Monitoring and benchmarking government policies and actions to improve the healthiness of food environments: a proposed Government Healthy Food Environment Policy Index
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Swinburn, B., Vandevijvere, S., Kraak, V., Sacks, G., Snowdon, W., Hawkes, C., Barquera, S., Friel, S., Kelly, B., Kumanyika, S., LʼAbbé, M., Lee, A., Lobstein, T., Ma, J., Macmullan, J., Mohan, S., Monteiro, C., Neal, B., Rayner, M., Sanders, D., and Walker, C.
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- 2013
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20. A proposed approach to monitor private-sector policies and practices related to food environments, obesity and non-communicable disease prevention
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Sacks, G., Swinburn, B., Kraak, V., Downs, S., Walker, C., Barquera, S., Friel, S., Hawkes, C., Kelly, B., Kumanyika, S., LʼAbbé, M., Lee, A., Lobstein, T., Ma, J., Macmullan, J., Mohan, S., Monteiro, C., Neal, B., Rayner, M., Sanders, D., Snowdon, W., and Vandevijvere, S.
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- 2013
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21. Association of maternal short stature with stunting in Mexican children: common genes vs common environment
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Hernández-Díaz, S, Peterson, KE, Dixit, S, Hernández, B, Parra, S, Barquera, S, Sepúlveda, J, and Rivera, JA
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- 1999
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22. Global, regional, and national disability-adjusted life-years (DALYs) for 359 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017
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Kyu, Hh, Abate, D, Abate, Kh, Abay, Sm, Abbafati, C, Abbasi, N, Abbastabar, H, Abd-Allah, F, Abdela, J, Abdelalim, A, Abdollahpour, I, Abdulkader, Rs, Abebe, M, Abebe, Z, Abil, Oz, Aboyans, V, Abrham, Ar, Abu-Raddad, Lj, Abu-Rmeileh, Nme, Accrombessi, Mmk, Acharya, D, Acharya, P, Ackerman, In, Adamu, Aa, Adebayo, Om, Adekanmbi, V, Ademi, Z, Adetokunboh, Oo, Adib, Mg, Adsuar, Jc, Afanvi, Ka, Afarideh, M, Afshin, A, Agarwal, G, Agesa, Km, Aggarwal, R, Aghayan, Sa, Agrawal, A, Ahmadi, A, Ahmadi, M, Ahmadieh, H, Ahmed, Mb, Ahmed, S, Aichour, An, Aichour, I, Aichour, Mte, Akinyemiju, T, Akseer, N, Al-Aly, Z, Al-Eyadhy, A, Al-Mekhlafi, Hm, Al-Raddadi, Rm, Alahdab, F, Alam, K, Alam, T, Alashi, A, Alavian, Sm, Alene, Ka, Alijanzadeh, M, Alizadeh-Navaei, R, Aljunid, Sm, Alkerwi, A, Alla, F, Allebeck, P, Alonso, J, Alsharif, U, Altirkawi, K, Alvis-Guzman, N, Aminde, Ln, Amini, E, Amiresmaili, M, Ammar, W, Amoako, Ya, Anber, Nh, Andrei, Cl, Androudi, S, Animut, Md, Anjomshoa, M, Ansha, Mg, Antonio, Cat, Anwari, P, Arabloo, J, Aremu, O, Ärnlöv, J, Arora, A, Arora, M, Artaman, A, Aryal, Kk, Asayesh, H, Ataro, Z, Ausloos, M, Avila-Burgos, L, Avokpaho, Efga, Awasthi, A, Ayala, Quintanilla, Ayer, R, Azzopardi, Ps, Babazadeh, A, Badali, H, Balakrishnan, K, Bali, Ag, Banach, M, Banoub, Jam, Barac, A, Barboza, Ma, Barker-Collo, Sl, Bärnighausen, Tw, Barquera, S, Barrero, Lh, Bazargan-Hejazi, S, Bedi, N, Beghi, E, Behzadifar, M, Bekele, Bb, Bekru, Et, Belachew, Ab, Belay, Ya, Bell, Ml, Bello, Ak, Bennett, Da, Bensenor, Im, Berhane, A, Bernabe, E, Bernstein, Rs, Beuran, M, Beyranvand, T, Bhala, N, Bhatt, S, Bhaumik, S, Bhutta, Za, Biadgo, B, Biehl, Mh, Bijani, A, Bikbov, B, Bilano, V, Bililign, N, Bin, Sayeed, Bisanzio, D, Bjørge, T, Bleyer, A, Bobasa, Em, Bou-Orm, Ir, Boufous, S, Bourne, R, Brady, Oj, Brant, Lc, Brayne, C, Brazinova, A, Breitborde, Njk, Brenner, H, Briant, Ps, Briko, An, Britton, G, Brugha, T, Buchbinder, R, Busse, R, Butt, Za, Cahuana-Hurtado, L, Campuzano, Rincon, Cano, J, Cárdenas, R, Carrero, Jj, Carter, A, Carvalho, F, Castañeda-Orjuela, Ca, Castillo, Rivas, J, Castro, F, Catalá-López, F, Cercy, Km, Cerin, E, Chaiah, Y, Chang, Jc, Charlson, Fj, Chattu, Vk, Chiang, Pp, Chitheer, A, Choi, Jj, Christensen, H, Christopher, Dj, Chung, Sc, Cicuttini, Fm, Cirillo, Massimo, Collado-Mateo, D, Cooper, C, Cortesi, Pa, Cortinovis, M, Cousin, E, Criqui, Mh, Cromwell, Ea, Cross, M, Crump, Ja, Daba, Ak, Dachew, Ba, Dadi, Af, Dandona, L, Dandona, R, Dargan, Pi, Daryani, A, Das, Gupta, Das, R, Neves, J, Dasa, Tt, Davitoiu, Dv, De, La, Hoz, Fp, Leo, De, D, De, Neve, Jw, Steur, De, H, Degefa, Mg, Degenhardt, L, Deiparine, S, Demoz, Gt, Denova-Gutiérrez, E, Deribe, K, Dervenis, N, Des, Jarlais, Dey, S, Dharmaratne, Sd, Dhimal, M, Dinberu, Mt, Dirac, Ma, Djalalinia, S, Doan, L, Dokova, K, Doku, Dt, Dorsey, Er, Doyle, Ke, Driscoll, Tr, Dubey, M, Dubljanin, E, Duken, Ee, Duncan, Bb, Duraes, Ar, Ebrahimi, H, Ebrahimpour, S, Echko, Mm, Edessa, D, Edvardsson, 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Male ,Health Status ,health statu ,HALE ,mortality rate ,communicable disease ,DALYs ,Global Burden of Disease ,Risk Factors ,Prevalence ,Medicine and Health Sciences ,Singapore ,OUTCOMES ,disability-adjusted life year ,international cooperation ,Medicine (all) ,11 Medical And Health Sciences ,Central African Republic ,newborn disease ,IRON-DEFICIENCY ,AIDS ,priority journal ,Bahrain ,disease severity ,Female ,Quality-Adjusted Life Years ,cerebrovascular accident ,Ukraine ,Life Sciences & Biomedicine ,INTERVENTIONS ,Slovakia ,DISORDERS ,Burundi ,WEIGHTS ,GBD 2017 DALYs and HALE Collaborators ,Communicable Diseases ,Article ,STYLE ,Medicine, General & Internal ,Life Expectancy ,General & Internal Medicine ,Humans ,Disabled Persons ,human ,Healthy Lifestyle ,HALE, DALYs, global burden of disease ,Mortality ,Aged ,Science & Technology ,Mortality, Premature ,HIV ,ischemic heart disease ,major clinical study ,PREVENTION ,non communicable disease ,GBD, disability-adjusted life-years ,age ,sex factor ,Socioeconomic Factors ,Algeria ,Federation of Bosnia and Herzegovina ,lower respiratory tract infection ,Wounds and Injuries ,GENDER ,Human medicine ,trend study ,chronic obstructive lung disease - Abstract
Background How long one lives, how many years of life are spent in good and poor health, and how the population's state of health and leading causes of disability change over time all have implications for policy, planning, and provision of services. We comparatively assessed the patterns and trends of healthy life expectancy (HALE), which quantifies the number of years of life expected to be lived in good health, and the complementary measure of disability-adjusted life years (DALYs), a composite measure of disease burden capturing both premature mortality and prevalence and severity of ill health, for 359 diseases and injuries for 195 countries and territories over the past 28 years. Methods We used data for age-specific mortality rates, years of life lost (YLLs) due to premature mortality, and years lived with disability (YLDs) from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 to calculate HALE and DALYs from 1990 to 2017. We calculated HALE using age-specific mortality rates and YLDs per capita for each location, age, sex, and year. We calculated DALYs for 359 causes as the sum of YLLs and YLDs. We assessed how observed HALE and DALYs differed by country and sex from expected trends based on Sociodemographic Index (SDI). We also analysed HALE by decomposing years of life gained into years spent in good health and in poor health, between 1990 and 2017, and extra years lived by females compared with males. Findings Globally, from 1990 to 2017, life expectancy at birth increased by 7.4 years (95% uncertainty interval 74-7.8), from 65.6 years (65.3-65- 8) in 1990 to 73.0 years (72.7-73.3) in 2017. The increase in years of life varied from 5.1 years (5.0-5.3) in high SDI countries to 12.0 years (11.3-12.8) in low SDI countries. Of the additional years of life expected at birth, 26.3% (20.1-33.1) were expected to be spent in poor health in high SDI countries compared with 11.7% (8.8-15.1) in low-middle SDI countries. HALE at birth increased by 6.3 years (5.9-6.7), from 57.0 years (54.6-59.1) in 1990 to 63.3 years (60.5-65.7) in 2017. The increase varied from 3.8 years (3.4-4.1) in high SDI countries to 10.5 years (9.8-11.2) in low SDI countries. Even larger variations in HALE than these were observed between countries, ranging from 1.0 year (0.4-1.7) in Saint Vincent and the Grenadines (62.4 years [59.9-64.7] in 1990 to 63.5 years [60.9-65.8] in 2017) to 23.7 years (21.9-25.6) in Eritrea (30.7 years [28.9-32.2] in 1990 to 54.4 years [51.5-57.1] in 2017). In most countries, the increase in HALE was smaller than the increase in overall life expectancy, indicating more years lived in poor health. In 180 of 195 countries and territories, females were expected to live longer than males in 2017, with extra years lived varying from 1.4 years (0.6-2.3) in Algeria to 11.9 years (10.9-12.9) in Ukraine. Of the extra years gained, the proportion spent in poor health varied largely across countries, with less than 20% of additional years spent in poor health in Bosnia and Herzegovina, Burundi, and Slovakia, whereas in Bahrain all the extra years were spent in poor health. In 2017, the highest estimate of HALE at birth was in Singapore for both females (75.8 years [72.4-78.7]) and males (72.6 years [69 " 8-75.0]) and the lowest estimates were in Central African Republic (47.0 years [43.7-50.2] for females and 42.8 years [40.1-45.6] for males). Globally, in 2017, the five leading causes of DALYs were neonatal disorders, ischaemic heart disease, stroke, lower respiratory infections, and chronic obstructive pulmonary disease. Between 1990 and 2017, age-standardised DALY rates decreased by 41.3% (38.8-43.5) for communicable diseases and by 49"8% (47.9-51.6) for neonatal disorders. For non-communicable diseases, global DALYs increased by 40.1% (36.8-43.0), although age-standardised DALY rates decreased by 18.1% (16.0-20.2). Interpretation With increasing life expectancy in most countries, the question of whether the additional years of life gained are spent in good health or poor health has been increasingly relevant because of the potential policy implications, such as health-care provisions and extending retirement ages. In some locations, a large proportion of those additional years are spent in poor health. Large inequalities in HALE and disease burden exist across countries in different SDI quintiles and between sexes. The burden of disabling conditions has serious implications for health system planning and health-related expenditures. Despite the progress made in reducing the burden of communicable diseases and neonatal disorders in low S DI countries, the speed of this progress could be increased by scaling up proven interventions. The global trends among non-communicable diseases indicate that more effort is needed to maximise HALE, such as risk prevention and attention to upstream determinants of health. Copyright (C) 2018 The Author(s). Published by Elsevier Ltd.
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23. Survival in a Cohort of Patients With Chronic Obstructive Pulmonary Disease: Comparison Between Primary and Tertiary Levels of Care
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Rico-Méndez, F.G., Barquera, S., Múgica-Hernández, J.J., Espinosa Pérez, J.L., Ortega, S., and Ochoa, L.G.
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- 2005
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24. Supervivencia en una cohorte con EPOC. Análisis comparativo entre el primer y tercer niveles de atención
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Rico-Méndez, F.G., Barquera, S., Múgica-Hernández, J.J., Espinosa Pérez, J.L., Ortega, S., and Ochoa, L.G.
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- 2005
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25. Coexistence of maternal central adiposity and child stunting in Mexico
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Barquera, S, Peterson, K E, Must, A, Rogers, B L, Flores, M, Houser, R, Monterrubio, E, and Rivera-Dommarco, J A
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- 2007
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26. Measuring performance on the Healthcare Access and Quality Index for 195 countries and territories and selected subnational locations: A systematic analysis from the Global Burden of Disease Study 2016
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Fullman, N, Yearwood, J, Abay, SM, Abbafati, C, Abd-Allah, F, Abdela, J, Abdelalim, A, Abebe, Z, Abebo, TA, Aboyans, V, Abraha, HN, Abreu, DMX, Abu-Raddad, LJ, Adane, AA, Adedoyin, RA, Adetokunboh, O, Adhikari, TB, Afarideh, M, Afshin, A, Agarwal, G, Agius, D, Agrawal, A, Agrawal, S, Ahmad Kiadaliri, A, Aichour, MTE, Akibu, M, Akinyemi, RO, Akinyemiju, TF, Akseer, N, Al Lami, FH, Alahdab, F, Al-Aly, Z, Alam, K, Alam, T, Alasfoor, D, Albittar, MI, Alene, KA, Al-Eyadhy, A, Ali, SD, Alijanzadeh, M, Aljunid, SM, Alkerwi, A, Alla, F, Allebeck, P, Allen, C, Alomari, MA, Al-Raddadi, R, Alsharif, U, Altirkawi, KA, Alvis-Guzman, N, Amare, AT, Amenu, K, Ammar, W, Amoako, YA, Anber, N, Andrei, CL, Androudi, S, Antonio, CAT, Araújo, VEM, Aremu, O, Ärnlöv, J, Artaman, A, Aryal, KK, Asayesh, H, Asfaw, ET, Asgedom, SW, Asghar, RJ, Ashebir, MM, Asseffa, NA, Atey, TM, Atre, SR, Atteraya, MS, Avila-Burgos, L, Avokpaho, EFGA, Awasthi, A, Ayala Quintanilla, BP, Ayalew, AA, Ayele, HT, Ayer, R, Ayuk, TB, Azzopardi, P, Azzopardi-Muscat, N, Babalola, TK, Badali, H, Badawi, A, Banach, M, Banerjee, A, Banstola, A, Barber, RM, Barboza, MA, Barker-Collo, SL, Bärnighausen, T, Barquera, S, Barrero, LH, Bassat, Q, Basu, S, Baune, BT, Bazargan-Hejazi, S, Bedi, N, and Beghi, E
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General & Internal Medicine ,Humans ,Wounds and Injuries ,Noncommunicable Diseases ,Communicable Diseases ,Health Services Accessibility ,Quality of Health Care ,Global Burden of Disease - Abstract
Copyright © 2018 The Author(s). Published by Elsevier Ltd. Background A key component of achieving universal health coverage is ensuring that all populations have access to quality health care. Examining where gains have occurred or progress has faltered across and within countries is crucial to guiding decisions and strategies for future improvement. We used the Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) to assess personal health-care access and quality with the Healthcare Access and Quality (HAQ) Index for 195 countries and territories, as well as subnational locations in seven countries, from 1990 to 2016. Methods Drawing from established methods and updated estimates from GBD 2016, we used 32 causes from which death should not occur in the presence of effective care to approximate personal health-care access and quality by location and over time. To better isolate potential effects of personal health-care access and quality from underlying risk factor patterns, we risk-standardised cause-specific deaths due to non-cancers by location-year, replacing the local joint exposure of environmental and behavioural risks with the global level of exposure. Supported by the expansion of cancer registry data in GBD 2016, we used mortality-to-incidence ratios for cancers instead of risk-standardised death rates to provide a stronger signal of the effects of personal health care and access on cancer survival. We transformed each cause to a scale of 0-100, with 0 as the first percentile (worst) observed between 1990 and 2016, and 100 as the 99th percentile (best); we set these thresholds at the country level, and then applied them to subnational locations. We applied a principal components analysis to construct the HAQ Index using all scaled cause values, providing an overall score of 0-100 of personal health-care access and quality by location over time. We then compared HAQ Index levels and trends by quintiles on the Socio-demographic Index (SDI), a summary measure of overall development. As derived from the broader GBD study and other data sources, we examined relationships between national HAQ Index scores and potential correlates of performance, such as total health spending per capita. Findings In 2016, HAQ Index performance spanned from a high of 97·1 (95% UI 95·8-98·1) in Iceland, followed by 96·6 (94·9-97·9) in Norway and 96·1 (94·5-97·3) in the Netherlands, to values as low as 18·6 (13·1-24·4) in the Central African Republic, 19·0 (14·3-23·7) in Somalia, and 23·4 (20·2-26·8) in Guinea-Bissau. The pace of progress achieved between 1990 and 2016 varied, with markedly faster improvements occurring between 2000 and 2016 for many countries in sub-Saharan Africa and southeast Asia, whereas several countries in Latin America and elsewhere saw progress stagnate after experiencing considerable advances in the HAQ Index between 1990 and 2000. Striking subnational disparities emerged in personal health-care access and quality, with China and India having particularly large gaps between locations with the highest and lowest scores in 2016. In China, performance ranged from 91·5 (89·1-93·6) in Beijing to 48·0 (43·4-53·2) in Tibet (a 43·5-point difference), while India saw a 30·8-point disparity, from 64·8 (59·6-68·8) in Goa to 34·0 (30·3-38·1) in Assam. Japan recorded the smallest range in subnational HAQ performance in 2016 (a 4·8-point difference), whereas differences between subnational locations with the highest and lowest HAQ Index values were more than two times as high for the USA and three times as high for England. State-level gaps in the HAQ Index in Mexico somewhat narrowed from 1990 to 2016 (from a 20·9-point to 17·0-point difference), whereas in Brazil, disparities slightly increased across states during this time (a 17·2-point to 20·4-point difference). Performance on the HAQ Index showed strong linkages to overall development, with high and high-middle SDI countries generally having higher scores and faster gains for non-communicable diseases. Nonetheless, countries across the development spectrum saw substantial gains in some key health service areas from 2000 to 2016, most notably vaccine-preventable diseases. Overall, national performance on the HAQ Index was positively associated with higher levels of total health spending per capita, as well as health systems inputs, but these relationships were quite heterogeneous, particularly among low-to-middle SDI countries. Interpretation GBD 2016 provides a more detailed understanding of past success and current challenges in improving personal health-care access and quality worldwide. Despite substantial gains since 2000, many low-SDI and middle- SDI countries face considerable challenges unless heightened policy action and investments focus on advancing access to and quality of health care across key health services, especially non-communicable diseases. Stagnating or minimal improvements experienced by several low-middle to high-middle SDI countries could reflect the complexities of re-orienting both primary and secondary health-care services beyond the more limited foci of the Millennium Development Goals. Alongside initiatives to strengthen public health programmes, the pursuit of universal health coverage hinges upon improving both access and quality worldwide, and thus requires adopting a more comprehensive view - and subsequent provision - of quality health care for all populations.
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27. Erratum: Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017 (The Lancet (2018) 392(10159) (1736–1788)(S0140673618322037)(10.1016/S0140-6736(18)32203-7))
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GBD 2017 Causes of Death Collaborators Roth, G.A. Abate, D. Abate, K.H. Abay, S.M. Abbafati, C. Abbasi, N. Abbastabar, H. Abd-Allah, F. Abdela, J. Abdelalim, A. Abdollahpour, I. Abdulkader, R.S. Abebe, H.T. Abebe, M. Abebe, Z. Abejie, A.N. Abera, S.F. Abil, O.Z. Abraha, H.N. Abrham, A.R. Abu-Raddad, L.J. Accrombessi, M.M.K. Acharya, D. Adamu, A.A. Adebayo, O.M. Adedoyin, R.A. Adekanmbi, V. Adetokunboh, O.O. Adhena, B.M. Adib, M.G. Admasie, A. Afshin, A. Agarwal, G. Agesa, K.M. Agrawal, A. Agrawal, S. Ahmadi, A. Ahmadi, M. Ahmed, M.B. Ahmed, S. Aichour, A.N. Aichour, I. Aichour, M.T.E. Akbari, M.E. Akinyemi, R.O. Akseer, N. Al-Aly, Z. Al-Eyadhy, A. Al-Raddadi, R.M. Alahdab, F. Alam, K. Alam, T. Alebel, A. Alene, K.A. Alijanzadeh, M. Alizadeh-Navaei, R. Aljunid, S.M. Alkerwi, A. Alla, F. Allebeck, P. Alonso, J. Altirkawi, K. Alvis-Guzman, N. Amare, A.T. Aminde, L.N. Amini, E. Ammar, W. Amoako, Y.A. Anber, N.H. Andrei, C.L. Androudi, S. Animut, M.D. Anjomshoa, M. Ansari, H. Ansha, M.G. Antonio, C.A.T. Anwari, P. Aremu, O. Arnlov, J. Arora, A. Arora, M. Artaman, A. Aryal, K.K. Asayesh, H. Asfaw, E.T. Ataro, Z. Atique, S. Atre, S.R. Ausloos, M. Avokpaho, E.F.G.A. Awasthi, A. Ayala Quintanilla, B.P. Ayele, Y. Ayer, R. Azzopardi, P.S. Babazadeh, A. Bacha, U. Badali, H. Badawi, A. Bali, A.G. Ballesteros, K.E. Banach, M. Banerjee, K. Bannick, M.S. Banoub, J.A.M. Barboza, M.A. Barker-Collo, S.L. Barnighausen, T.W. Barquera, S. Barrero, L.H. Bassat, Q. Basu, S. Baune, B.T. Baynes, H.W. Bazargan-Hejazi, S. Bedi, N. Beghi, E. Behzadifar, M. Behzadifar, M. Bejot, Y. Bekele, B.B. Belachew, A.B. Belay, E. Belay, Y.A. Bell, M.L. Bello, A.K. Bennett, D.A. Bensenor, I.M. Berman, A.E. Bernabe, E. Bernstein, R.S. Bertolacci, G.J. Beuran, M. Beyranvand, T. Bhalla, A. Bhattarai, S. Bhaumik, S. Bhutta, Z.A. Biadgo, B. Biehl, M.H. Bijani, A. Bikbov, B. Bilano, V. Bililign, N. Bin Sayeed, M.S. Bisanzio, D. Biswas, T. Blacker, B.F. Basara, B.B. Borschmann, R. Bosetti, C. Bozorgmehr, K. Brady, O.J. Brant, L.C. Brayne, C. Brazinova, A. Breitborde, N.J.K. Brenner, H. Briant, P.S. Britton, G. Brugha, T. Busse, R. Butt, Z.A. Callender, C.S.K.H. Campos-Nonato, I.R. Campuzano Rincon, J.C. Cano, J. Car, M. Cardenas, R. Carreras, G. Carrero, J.J. Carter, A. Carvalho, F. Castaneda-Orjuela, C.A. Castillo Rivas, J. Castle, C.D. Castro, C. Castro, F. Catala-Lopez, F. Cerin, E. Chaiah, Y. Chang, J.-C. Charlson, F.J. Chaturvedi, P. Chiang, P.P.-C. Chimed-Ochir, O. Chisumpa, V.H. Chitheer, A. Chowdhury, R. Christensen, H. Christopher, D.J. Chung, S.-C. Cicuttini, F.M. Ciobanu, L.G. Cirillo, M. Cohen, A.J. Cooper, L.T. Cortesi, P.A. Cortinovis, M. Cousin, E. Cowie, B.C. Criqui, M.H. Cromwell, E.A. Crowe, C.S. Crump, J.A. Cunningham, M. Daba, A.K. Dadi, A.F. Dandona, L. Dandona, R. Dang, A.K. Dargan, P.I. Daryani, A. Das, S.K. Gupta, R.D. Neves, J.D. Dasa, T.T. Dash, A.P. Davis, A.C. Davis Weaver, N. Davitoiu, D.V. Davletov, K. De La Hoz, F.P. De Neve, J.-W. Degefa, M.G. Degenhardt, L. Degfie, T.T. Deiparine, S. Demoz, G.T. Demtsu, B.B. Denova-Gutierrez, E. Deribe, K. Dervenis, N. Des Jarlais, D.C. Dessie, G.A. Dey, S. Dharmaratne, S.D. Dicker, D. Dinberu, M.T. Ding, E.L. Dirac, M.A. Djalalinia, S. Dokova, K. Doku, D.T. Donnelly, C.A. Dorsey, E.R. Doshi, P.P. Douwes-Schultz, D. Doyle, K.E. Driscoll, T.R. Dubey, M. Dubljanin, E. Duken, E.E. Duncan, B.B. Duraes, A.R. Ebrahimi, H. Ebrahimpour, S. Edessa, D. Edvardsson, D. Eggen, A.E. El Bcheraoui, C. El Sayed Zaki, M. El-Khatib, Z. Elkout, H. Ellingsen, C.L. Endres, M. Endries, A.Y. Er, B. Erskine, H.E. Eshrati, B. Eskandarieh, S. Esmaeili, R. Esteghamati, A. Fakhar, M. Fakhim, H. Faramarzi, M. Fareed, M. Farhadi, F. Farinha, C.S.E. Faro, A. Farvid, M.S. Farzadfar, F. Farzaei, M.H. Feigin, V.L. Feigl, A.B. Fentahun, N. Fereshtehnejad, S.-M. Fernandes, E. Fernandes, J.C. Ferrari, A.J. Feyissa, G.T. Filip, I. Finegold, S. Fischer, F. Fitzmaurice, C. Foigt, N.A. Foreman, K.J. Fornari, C. Frank, T.D. Fukumoto, T. Fuller, J.E. Fullman, N. Furst, T. Furtado, J.M. Futran, N.D. Gallus, S. Garcia-Basteiro, A.L. Garcia-Gordillo, M.A. Gardner, W.M. Gebre, A.K. Gebrehiwot, T.T. Gebremedhin, A.T. Gebremichael, B. Gebremichael, T.G. Gelano, T.F. Geleijnse, J.M. Genova-Maleras, R. Geramo, Y.C.D. Gething, P.W. Gezae, K.E. Ghadami, M.R. Ghadimi, R. Ghasemi Falavarjani, K. Ghasemi-Kasman, M. Ghimire, M. Gibney, K.B. Gill, P.S. Gill, T.K. Gillum, R.F. Ginawi, I.A. Giroud, M. Giussani, G. Goenka, S. Goldberg, E.M. Goli, S. Gomez-Dantes, H. Gona, P.N. Gopalani, S.V. Gorman, T.M. Goto, A. Goulart, A.C. Gnedovskaya, E.V. Grada, A. Grosso, G. Gugnani, H.C. Guimaraes, A.L.S. Guo, Y. Gupta, P.C. Gupta, R. Gupta, R. Gupta, T. Gutierrez, R.A. Gyawali, B. Haagsma, J.A. Hafezi-Nejad, N. Hagos, T.B. Hailegiyorgis, T.T. Hailu, G.B. Haj-Mirzaian, A. Haj-Mirzaian, A. Hamadeh, R.R. Hamidi, S. Handal, A.J. Hankey, G.J. Harb, H.L. Harikrishnan, S. Haro, J.M. Hasan, M. Hassankhani, H. Hassen, H.Y. Havmoeller, R. Hay, R.J. Hay, S.I. He, Y. Hedayatizadeh-Omran, A. Hegazy, M.I. Heibati, B. Heidari, M. Hendrie, D. Henok, A. Henry, N.J. Herteliu, C. Heydarpour, F. Heydarpour, P. Heydarpour, S. Hibstu, D.T. Hoek, H.W. Hole, M.K. Homaie Rad, E. Hoogar, P. Hosgood, H.D. Hosseini, S.M. Hosseinzadeh, M. Hostiuc, M. Hostiuc, S. Hotez, P.J. Hoy, D.G. Hsiao, T. Hu, G. Huang, J.J. Husseini, A. Hussen, M.M. Hutfless, S. Idrisov, B. Ilesanmi, O.S. Iqbal, U. Irvani, S.S.N. Irvine, C.M.S. Islam, N. Islam, S.M.S. Islami, F. Jacobsen, K.H. Jahangiry, L. Jahanmehr, N. Jain, S.K. Jakovljevic, M. Jalu, M.T. James, S.L. Javanbakht, M. Jayatilleke, A.U. Jeemon, P. Jenkins, K.J. Jha, R.P. Jha, V. Johnson, C.O. Johnson, S.C. Jonas, J.B. Joshi, A. Jozwiak, J.J. Jungari, S.B. Jurisson, M. Kabir, Z. Kadel, R. Kahsay, A. Kalani, R. Karami, M. Karami Matin, B. Karch, A. Karema, C. Karimi-Sari, H. Kasaeian, A. Kassa, D.H. Kassa, G.M. Kassa, T.D. Kassebaum, N.J. Katikireddi, S.V. Kaul, A. Kazemi, Z. Kazemi Karyani, A. Kazi, D.S. Kefale, A.T. Keiyoro, P.N. Kemp, G.R. Kengne, A.P. Keren, A. Kesavachandran, C.N. Khader, Y.S. Khafaei, B. Khafaie, M.A. Khajavi, A. Khalid, N. Khalil, I.A. Khan, E.A. Khan, M.S. Khan, M.A. Khang, Y.-H. Khater, M.M. Khoja, A.T. Khosravi, A. Khosravi, M.H. Khubchandani, J. Kiadaliri, A.A. Kibret, G.D. Kidanemariam, Z.T. Kiirithio, D.N. Kim, D. Kim, Y.-E. Kim, Y.J. Kimokoti, R.W. Kinfu, Y. Kisa, A. Kissimova-Skarbek, K. Kivimaki, M. Knudsen, A.K.S. Kocarnik, J.M. Kochhar, S. Kokubo, Y. Kolola, T. Kopec, J.A. Koul, P.A. Koyanagi, A. Kravchenko, M.A. Krishan, K. Kuate Defo, B. Kucuk Bicer, B. Kumar, G.A. Kumar, M. Kumar, P. Kutz, M.J. Kuzin, I. Kyu, H.H. Lad, D.P. Lad, S.D. Lafranconi, A. Lal, D.K. Lalloo, R. Lallukka, T. Lam, J.O. Lami, F.H. Lansingh, V.C. Lansky, S. Larson, H.J. Latifi, A. Lau, K.M.-M. Lazarus, J.V. Lebedev, G. Lee, P.H. Leigh, J. Leili, M. Leshargie, C.T. Li, S. Li, Y. Liang, J. Lim, L.-L. Lim, S.S. Limenih, M.A. Linn, S. Liu, S. Liu, Y. Lodha, R. Lonsdale, C. Lopez, A.D. Lorkowski, S. Lotufo, P.A. Lozano, R. Lunevicius, R. Ma, S. Macarayan, E.R.K. Mackay, M.T. MacLachlan, J.H. Maddison, E.R. Madotto, F. Magdy Abd El Razek, H. Magdy Abd El Razek, M. Maghavani, D.P. Majdan, M. Majdzadeh, R. Majeed, A. Malekzadeh, R. Malta, D.C. Manda, A.-L. Mandarano-Filho, L.G. Manguerra, H. Mansournia, M.A. Mapoma, C.C. Marami, D. Maravilla, J.C. Marcenes, W. Marczak, L. Marks, A. Marks, G.B. Martinez, G. Martins-Melo, F.R. Martopullo, I. Marz, W. Marzan, M.B. Masci, J.R. Massenburg, B.B. Mathur, M.R. Mathur, P. Matzopoulos, R. Maulik, P.K. Mazidi, M. McAlinden, C. McGrath, J.J. McKee, M. McMahon, B.J. Mehata, S. Mehndiratta, M.M. Mehrotra, R. Mehta, K.M. Mehta, V. Mekonnen, T.C. Melese, A. Melku, M. Memiah, P.T.N. Memish, Z.A. Mendoza, W. Mengistu, D.T. Mengistu, G. Mensah, G.A. Mereta, S.T. Meretoja, A. Meretoja, T.J. Mestrovic, T. Mezgebe, H.B. Miazgowski, B. Miazgowski, T. Millear, A.I. Miller, T.R. Miller-Petrie, M.K. Mini, G.K. 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- Abstract
GBD 2017 Causes of Death Collaborators. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 2018; 392: 1736–88—The bottom row in figure 7 was cut off. This correction has been made to the online version as of Nov 9, 2018, and has been made to the printed Article. © 2018 Elsevier Ltd
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- 2018
28. Global, regional, and national age-sex-specific mortality and life expectancy, 1950-2017: A systematic analysis for the Global Burden of Disease Study 2017
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Tran, K.B. Tripathi, S. Tripathy, S.P. Truelsen, T.C. Truong, N.T. Tsadik, A.G. Tsilimparis, N. Tudor Car, L. Tuzcu, E.M. Tyrovolas, S. Ukwaja, K.N. Ullah, I. Usman, M.S. Uthman, O.A. Uzun, S.B. Vaduganathan, M. Vaezi, A. Vaidya, G. Valdez, P.R. Varavikova, E. Varughese, S. Vasankari, T.J. Vasconcelos, A.M.N. Venketasubramanian, N. Vidavalur, R. Villafaina, S. Violante, F.S. Vladimirov, S.K. Vlassov, V. Vollset, S.E. Vos, T. Vosoughi, K. Vujcic, I.S. Wagner, G.R. Wagnew, F.W.S. Waheed, Y. Wang, Y. Wang, Y.-P. Wassie, M.M. Weiderpass, E. Weintraub, R.G. Weiss, D.J. Weiss, J. Weldegebreal, F. Weldegwergs, K.G. Werdecker, A. Westerman, R. Whiteford, H.A. Widecka, J. Widecka, K. Wijeratne, T. Winkler, A.S. Wiysonge, C.S. Wolfe, C.D.A. Wondemagegn, S.A. Wu, S. Wyper, G.M.A. Xu, G. Yadav, R. Yakob, B. Yamada, T. Yan, L.L. Yano, Y. Yaseri, M. Yasin, Y.J. Ye, P. Yearwood, J.A. Yentür, G.K. Yeshaneh, A. Yimer, E.M. Yip, P. Yisma, E. Yonemoto, N. Yoon, S.-J. York, H.W. Yotebieng, M. Younis, M.Z. Yousefifard, M. Yu, C. Zachariah, G. Zadnik, V. Zafar, S. Zaidi, Z. Zaman, S.B. Zamani, M. Zare, Z. Zeeb, H. Zeleke, M.M. Zenebe, Z.M. Zerfu, T.A. Zhang, K. Zhang, X. Zhou, M. Zhu, J. Zodpey, S. Zucker, I. Zuhlke, L.J.J. Lopez, A.D. Gakidou, E. Murray, C.J.L. GBD 2017 Mortality Collaborators
- Abstract
Background: Assessments of age-specifc mortality and life expectancy have been done by the UN Population Division, Department of Economics and Social Afairs (UNPOP), the United States Census Bureau, WHO, and as part of previous iterations of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD). Previous iterations of the GBD used population estimates from UNPOP, which were not derived in a way that was internally consistent with the estimates of the numbers of deaths in the GBD. The present iteration of the GBD, GBD 2017, improves on previous assessments and provides timely estimates of the mortality experience of populations globally. Methods: The GBD uses all available data to produce estimates of mortality rates between 1950 and 2017 for 23 age groups, both sexes, and 918 locations, including 195 countries and territories and subnational locations for 16 countries. Data used include vital registration systems, sample registration systems, household surveys (complete birth histories, summary birth histories, sibling histories), censuses (summary birth histories, household deaths), and Demographic Surveillance Sites. In total, this analysis used 8259 data sources. Estimates of the probability of death between birth and the age of 5 years and between ages 15 and 60 years are generated and then input into a model life table system to produce complete life tables for all locations and years. Fatal discontinuities and mortality due to HIV/AIDS are analysed separately and then incorporated into the estimation. We analyse the relationship between age-specifc mortality and development status using the Socio-demographic Index, a composite measure based on fertility under the age of 25 years, education, and income. There are four main methodological improvements in GBD 2017 compared with GBD 2016: 622 additional data sources have been incorporated; new estimates of population, generated by the GBD study, are used; statistical methods used in diferent components of the analysis have been further standardised and improved; and the analysis has been extended backwards in time by two decades to start in 1950. Findings: Globally, 18·7% (95% uncertainty interval 18·4-19·0) of deaths were registered in 1950 and that proportion has been steadily increasing since, with 58·8% (58·2-59·3) of all deaths being registered in 2015. At the global level, between 1950 and 2017, life expectancy increased from 48·1 years (46·5-49·6) to 70·5 years (70·1-70·8) for men and from 52·9 years (51·7-54·0) to 75·6 years (75·3-75·9) for women. Despite this overall progress, there remains substantial variation in life expectancy at birth in 2017, which ranges from 49·1 years (46·5-51·7) for men in the Central African Republic to 87·6 years (86·9-88·1) among women in Singapore. The greatest progress across age groups was for children younger than 5 years; under-5 mortality dropped from 216·0 deaths (196·3-238·1) per 1000 livebirths in 1950 to 38·9 deaths (35·6-42·83) per 1000 livebirths in 2017, with huge reductions across countries. Nevertheless, there were still 5·4 million (5·2-5·6) deaths among children younger than 5 years in the world in 2017. Progress has been less pronounced and more variable for adults, especially for adult males, who had stagnant or increasing mortality rates in several countries. The gap between male and female life expectancy between 1950 and 2017, while relatively stable at the global level, shows distinctive patterns across super-regions and has consistently been the largest in central Europe, eastern Europe, and central Asia, and smallest in south Asia. Performance was also variable across countries and time in observed mortality rates compared with those expected on the basis of development. Interpretation: This analysis of age-sex-specifc mortality shows that there are remarkably complex patterns in population mortality across countries. The fndings of this study highlight global successes, such as the large decline in under-5 mortality, which refects signifcant local, national, and global commitment and investment over several decades. However, they also bring attention to mortality patterns that are a cause for concern, particularly among adult men and, to a lesser extent, women, whose mortality rates have stagnated in many countries over the time period of this study, and in some cases are increasing. © 2018 The Author(s).
- Published
- 2018
29. Global, regional, and national disability-adjusted life-years (DALYs) for 359 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990-2017: A systematic analysis for the Global Burden of Disease Study 2017
- Author
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Driscoll, T.R. Dubey, M. Dubljanin, E. Duken, E.E. Duncan, B.B. Duraes, A.R. Ebrahimi, H. Ebrahimpour, S. Echko, M.M. Edessa, D. Edvardsson, D. Effiong, A. Eggen, A.E. Ehrlich, J.R. El Bcheraoui, C. El-Khatib, Z. Elyazar, I.R.F. Enayati, A. Endalifer, M.L. Endries, A.Y. Er, B. Erskine, H.E. Eskandarieh, S. Esteghamati, A. Esteghamati, S. Fakhim, H. Faramarzi, M. Fareed, M. Farhadi, F. Farid, T.A. Sá Farinha, C.S.E. Farioli, A. Faro, A. Farzadfar, F. Fazaeli, A.A. Feigin, V.L. Fentahun, N. Fereshtehnejad, S.-M. Fernandes, E. Fernandes, J.C. Ferrari, A.J. Ferreira, M.L. Filip, I. Fischer, F. Fitzmaurice, C. Foigt, N.A. Foreman, K.J. Frank, T.D. Fukumoto, T. Fullman, N. Fürst, T. Furtado, J.M. Gakidou, E. Gall, S. Gallus, S. Ganji, M. Garcia-Basteiro, A.L. Gardner, W.M. Gebre, A.K. Gebremedhin, A.T. Gebremichael, T.G. Gelano, T.F. Geleijnse, J.M. Genova-Maleras, R. Geramo, Y.C.D. Gething, P.W. Gezae, K.E. Ghadami, M.R. Ghadiri, K. Ghasemi-Kasman, M. Ghimire, M. Ghoshal, A.G. Gill, P.S. 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Maulik, P.K. Mazidi, M. McAlinden, C. McGrath, J.J. McKee, M. McMahon, B.J. Mehata, S. Mehrotra, R. Mehta, K.M. Mehta, V. Mejia-Rodriguez, F. Mekonen, T. Melese, A. Melku, M. Memiah, P.T.N. Memish, Z.A. Mendoza, W. Mengistu, G. Mensah, G.A. Mereta, S.T. Meretoja, A. Meretoja, T.J. Mestrovic, T. Miazgowski, B. Miazgowski, T. Millear, A.I. Miller, T.R. Mini, G.K. Mirarefin, M. Mirica, A. Mirrakhimov, E.M. Misganaw, A.T. Mitchell, P.B. Mitiku, H. Moazen, B. Mohajer, B. Mohammad, K.A. Mohammadi, M. Mohammadifard, N. Mohammadnia-Afrouzi, M. Mohammed, M.A. Mohammed, S. Mohebi, F. Mokdad, A.H. Molokhia, M. Monasta, L. Montanez, J.C. Moosazadeh, M. Moradi, G. Moradi, M. Moradi-Lakeh, M. Moradinazar, M. Moraga, P. Morawska, L. Velásquez, I.M. Morgado-Da-Costa, J. Morrison, S.D. Moschos, M.M. Mousavi, S.M. Mruts, K.B. Muche, A.A. Muchie, K.F. Mueller, U.O. Muhammed, O.S. Mukhopadhyay, S. Muller, K. Mumford, J.E. Murthy, G.V.S. Musa, K.I. Mustafa, G. Nabhan, A.F. Nagata, C. Nagel, G. Naghavi, M. Naheed, A. Nahvijou, A. Naik, G. Najafi, F. Nam, H.S. Nangia, V. Nansseu, J.R. Neamati, N. Negoi, I. Negoi, R.I. Neupane, S. Newton, C.R.J. Ngunjiri, J.W. Nguyen, A.Q. Nguyen, G. Nguyen, H.T. Nguyen, H.L.T. Nguyen, H.T. Nguyen, L.H. Nguyen, M. Nguyen, N.B. Nguyen, S.H. Nichols, E. Ningrum, D.N.A. Nixon, M.R. Nomura, S. Noroozi, M. Norrving, B. Noubiap, J.J. Nouri, H.R. Shiadeh, M.N. Nowroozi, M.R. Nsoesie, E.O. Nyasulu, P.S. Odell, C.M. Ofori-Asenso, R. Ogbo, F.A. Oh, I.-H. Oladimeji, O. Olagunju, A.T. Olagunju, T.O. Olivares, P.R. Olsen, H.E. Olusanya, B.O. Olusanya, J.O. Ong, K.L. Ong, S.K. Oren, E. Ortiz, A. Ota, E. Otstavnov, S.S. Overland, S. Owolabi, M.O. Mahesh, P.A. Pacella, R. Pakhare, A.P. Pakpour, A.H. Pana, A. Panda-Jonas, S. Park, E.-K. Park, J. Parry, C.D.H. Parsian, H. Pasdar, Y. Patel, S. Patil, S.T. Patle, A. Patton, G.C. Paturi, V.R. Paudel, D. Paulson, K.R. Pearce, N. Pereira, A. Pereira, D.M. Perico, N. Pesudovs, K. Petzold, M. Pham, H.Q. Phillips, M.R. Pigott, D.M. Pillay, J.D. Piradov, M.A. Pirsaheb, M. Pishgar, F. Plana-Ripoll, O. Polinder, S. Popova, S. Postma, M.J. Pourshams, A. Poustchi, H. Prabhakaran, D. Prakash, S. Prakash, V. Prasad, N. Purcell, C.A. Qorbani, M. Quistberg, D.A. Radfar, A. Rafay, A. Rafiei, A. Rahim, F. Rahimi, K. Rahimi, Z. Rahimi-Movaghar, A. Rahimi-Movaghar, V. Rahman, M. Ur Rahman, M.H. Rahman, M.A. Rahman, S.U. Rai, R.K. Rajati, F. Ranjan, P. Rao, P.C. Rasella, D. Rawaf, D.L. Rawaf, S. Reddy, K.S. Reiner, R.C. Reitsma, M.B. Remuzzi, G. Renzaho, A.M.N. Resnikoff, S. Rezaei, S. Rezai, M.S. Ribeiro, A.L.P. Roberts, N.L.S. Robinson, S.R. Roever, L. Ronfani, L. Roshandel, G. Rostami, A. Roth, G.A. Rothenbacher, D. Rubagotti, E. Sachdev, P.S. Sadat, N. Sadeghi, E. Saeedi Moghaddam, S. Safari, H. Safari, Y. Safari-Faramani, R. Safdarian, M. Safi, S. Safiri, S. Sagar, R. Sahebkar, A. Sahraian, M.A. Sajadi, H.S. Salam, N. Salama, J.S. Salamati, P. Saleem, Z. Salimi, Y. Salimzadeh, H. Salomon, J.A. Salvi, S.S. Salz, I. Samy, A.M. Sanabria, J. Sanchez-Nino, M.D. Santomauro, D.F. Santos, I.S. Santos, J.V. Santric Milicevic, M.M. Sao Jose, B.P. Sardana, M. Sarker, A.R. Sarmiento-Suárez, R. Sarrafzadegan, N. Sartorius, B. Sarvi, S. Sathian, B. Satpathy, M. Sawant, A.R. Sawhney, M. Saxena, S. Schaeffner, E. Schmidt, M.I. Schneider, I.J.C. Schutte, A.E. Schwebel, D.C. Schwendicke, F. Scott, J.G. Sekerija, M. Sepanlou, S.G. Serván-Mori, E. Seyedmousavi, S. Shabaninejad, H. Shafieesabet, A. Shahbazi, M. Shaheen, A.A. Shaikh, M.A. Shams-Beyranvand, M. Shamsi, M. Sharafi, H. Sharafi, K. Sharif, M. Sharif-Alhoseini, M. Sharma, J. Sharma, R. She, J. Sheikh, A. Shi, P. Shibuya, K. Shiferaw, M.S. Shigematsu, M. Shiri, R. Shirkoohi, R. Shiue, I. Shokoohinia, Y. Shokraneh, F. Shoman, H. Shrime, M.G. Si, S. Siabani, S. Sibai, A.M. Siddiqi, T.J. Sigfusdottir, I.D. Sigurvinsdottir, R. Silva, D.A.S. Silva, J.P. Silveira, D.G.A. Singam, N.S.V. Singh, J.A. Singh, N.P. Singh, V. Sinha, D.N. Skiadaresi, E. Skirbekk, V. Sliwa, K. Smith, D.L. Smith, M. Filho, A.M.S. Sobaih, B.H. Sobhani, S. Soofi, M. Sorensen, R.J.D. Soyiri, I.N. Sposato, L.A. Sreeramareddy, C.T. Srinivasan, V. Stanaway, J.D. Starodubov, V.I. Stein, D.J. Steiner, C. Steiner, T.J. Stokes, M.A. Stovner, L.J. Subart, M.L. Sudaryanto, A. Sufiyan, M.B. Sulo, G. Sunguya, B.F. Sur, P.J. Sykes, B.L. Sylaja, P.N. Sylte, D.O. Szoeke, C.E.I. Tabarés-Seisdedos, R. Tabuchi, T. Tadakamadla, S.K. Tandon, N. Tassew, S.G. Tavakkoli, M. Taveira, N. Taylor, H.R. Tehrani-Banihashemi, A. Tekalign, T.G. Tekelemedhin, S.W. Tekle, M.G. Temsah, M.-H. Temsah, O. Terkawi, A.S. Tessema, B. Teweldemedhin, M. Thankappan, K.R. Theis, A. Thirunavukkarasu, S. Thomas, N. Tilahun, B. To, Q.G. Tonelli, M. Topor-Madry, R. Torre, A.E. Tortajada-Girbés, M. Touvier, M. Tovani-Palone, M.R. Towbin, J.A. Tran, B.X. Tran, K.B. Troeger, C.E. Tsadik, A.G. Tsoi, D. Tudor Car, L. Tyrovolas, S. Ukwaja, K.N. Ullah, I. Undurraga, E.A. Updike, R.L. Usman, M.S. Uthman, O.A. Vaduganathan, M. Vaezi, A. Valdez, P.R. Varavikova, E. Varughese, S. Vasankari, T.J. Venketasubramanian, N. Villafaina, S. Violante, F.S. Vladimirov, S.K. Vlassov, V. Vollset, S.E. Vos, T. Vosoughi, K. Vujcic, I.S. Wagnew, F.S. Waheed, Y. Wang, Y. Wang, Y.-P. Weiderpass, E. Weintraub, R.G. Weiss, D.J. Weldegebreal, F. Weldegwergs, K.G. Werdecker, A. West, T.E. Westerman, R. Whiteford, H.A. Widecka, J. Wijeratne, T. Williams, H.C. Wilner, L.B. Wilson, S. Winkler, A.S. Wiyeh, A.B. Wiysonge, C.S. Wolfe, C.D.A. Woolf, A.D. Wyper, G.M.A. Xavier, D. Xu, G. Yadgir, S. Yahyazadeh Jabbari, S.H. Yamada, T. Yan, L.L. Yano, Y. Yaseri, M. Yasin, Y.J. Yeshaneh, A. Yimer, E.M. Yip, P. Yisma, E. Yonemoto, N. Yoon, S.-J. Yotebieng, M. Younis, M.Z. Yousefifard, M. Yu, C. Zadnik, V. Zaidi, Z. Zaman, S.B. Zamani, M. Zandian, H. Zar, H.J. Zenebe, Z.M. Zipkin, B. Zhou, M. Zodpey, S. Zucker, I. Zuhlke, L.J. Murray, C.J.L. GBD 2017 DALYs HALE Collaborators
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Background: How long one lives, how many years of life are spent in good and poor health, and how the population's state of health and leading causes of disability change over time all have implications for policy, planning, and provision of services. We comparatively assessed the patterns and trends of healthy life expectancy (HALE), which quantifies the number of years of life expected to be lived in good health, and the complementary measure of disability-adjusted lifeyears (DALYs), a composite measure of disease burden capturing both premature mortality and prevalence and severityof ill health, for 359 diseases and injuries for 195 countries and territories over the past 28 years. Methods We used data for age-speci?c mortality rates, years of life lost (YLLs) due to premature mortality, and years lived with disability (YLDs) from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 to calculate HALE and DALYs from 1990 to 2017. We calculated HALE using age-specific mortality rates and YLDs per capita for each location, age, sex, and year. We calculated DALYs for 359 causes as the sum of YLLs and YLDs. We assessed how observed HALE and DALYs differed by country and sex from expected trends based on Sociodemographic Index (SDI). We also analysed HALE by decomposing years of life gained into years spent in good health and in poor health, between 1990 and 2017, and extra years lived by females compared with males. Findings Globally, from 1990 to 2017, life expectancy at birth increased by 7·4 years (95% uncertainty interval 7·1-7·8), from 65·6 years (65·3-65·8) in 1990 to 73·0 years (72·7-73·3) in 2017. The increase in years of life varied from 5·1 years (5·0-5·3) in high SDI countries to 12·0 years (11·3-12·8) in low SDI countries. Of the additional years of life expected at birth, 26·3% (20·1-33·1) were expected to be spent in poor health in high SDI countries compared with 11·7% (8·8-15·1) in low-middle SDI countries. HALE at birth increased by 6·3 years (5·9-6·7), from 57·0 years (54·6-59·1) in 1990 to 63·3 years (60·5-65·7) in 2017. The increase varied from 3·8 years (3·4-4·1) in high SDI countries to 10·5 years (9·8-11·2) in low SDI countries. Even larger variations in HALE than these were observed between countries, ranging from 1·0 year (0·4-1·7) in Saint Vincent and the Grenadines (62·4 years [59·9-64·7] in 1990 to 63·5 years [60·9-65·8] in 2017) to 23·7 years (21·9-25·6) in Eritrea (30·7 years [28·9-32·2] in 1990 to 54·4 years [51·5-57·1] in 2017). In most countries, the increase in HALE was smaller than the increase in overall life expectancy, indicating more years lived in poor health. In 180 of 195 countries and territories, females were expected to live longer than males in 2017, with extra years lived varying from 1·4 years (0·6-2·3) in Algeria to 11·9 years (10·9-12·9) in Ukraine. Of the extra years gained, the proportion spent in poor health varied largely across countries, with less than 20% of additional years spent in poor health in Bosnia and Herzegovina, Burundi, and Slovakia, whereas in Bahrain all the extra years were spent in poor health. In 2017, the highest estimate of HALE at birth was in Singapore for both females (75·8 years [72·4-78·7]) and males (72·6 years [69·8-75·0]) and the lowest estimates were in Central African Republic (47·0 years [43·7-50·2] for females and 42·8 years [40·1-45·6] for males). Globally, in 2017, the ?ve leading causes of DALYs were neonatal disorders, ischaemic heart disease, stroke, lower respiratory infections, and chronic obstructive pulmonary disease. Between 1990 and 2017, age-standardised DALY rates decreased by 41·3% (38·8-43·5) for communicable diseases and by 49·8% (47·9-51·6) for neonatal disorders. For non-communicable diseases, global DALYs increased by 40·1% (36·8-43·0), although age-standardised DALY rates decreased by 18·1% (16·0-20·2). Interpretation With increasing life expectancy in most countries, the question of whether the additional years of life gained are spent in good health or poor health has been increasingly relevant because of the potential policy implications, such as health-care provisions and extending retirement ages. In some locations, a large proportion of those additional years are spent in poor health. Large inequalities in HALE and disease burden exist across countries in different SDI quintiles and between sexes. The burden of disabling conditions has serious implications for health system planning and health-related expenditures. Despite the progress made in reducing the burden of communicable diseases and neonatal disorders in low SDI countries, the speed of this progress could be increased by scaling up proven interventions. The global trends among non-communicable diseases indicate that more effort is needed to maximise HALE, such as risk prevention and attention to upstream determinants of health. Copyright © 2018 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license.
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- 2018
30. Pitfalls of the self-regulation of advertisements directed at children on Mexican television
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Bahena, L., Hernández-Zenil, E., Théodore, F.L., Barquera, S., Popkin, B., Velasco, A., Tolentino-Mayo, L., and Rivera, J.A.
- Abstract
Background: There are no academic studies that characterize advertisements directed at children from the companies that signed the self-regulation. Objective: The aim of this paper was to assess the extent and nature of food advertisements and the persuasive techniques used to market unhealthy food and beverages (UFB) to children, by signatory companies of self-regulation. Methods: From December 2012 to April 2013, 600 h of programming were recorded on the four broadcast public television channels in Mexico with the highest rating nationwide. Marketing aimed at children directly (broadcast on children's programmes or advertisements with a specific appeal to children) or indirectly (aimed at other target audiences with messages or scenes that link children to the product) were considered. Results: About 74.9% (2148) of the total food and beverage advertisements tried to influence children directly and indirectly. Companies, which had signed the self-regulation, focused 92.7% of their advertisements on UFB. Of the total number, 23.9% were aimed at children, 7.1% at adolescents, 12.5% at parents and 56.2% at the general public. Most of these advertisements were broadcast on movies (29.8%), cartoons (18%), soap operas (17.6%), entertainment shows (17.2%) and sports programs (6.4%). Conclusion: Despite the self-regulation of television marketing, children were surrounded by UFB advertisements. Signatory companies influence children indirectly by targeting other audiences and by marketing during family television programs, which are also watched by children.
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- 2017
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31. 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
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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, 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, I, Satpathy, M, Saunders, Je, Sawhney, M, Saylan MIScarborough, P, Schoettker, B, Schneider, Ij, Schwebel, Dc, Scott, Jg, Seedat, S, Sepanlou, Sg, Serdar, B, Servan-Mori, Ee, Shackelford, K, Shaheen AShahraz, S, Shamah Levy, T, Shangguan, S, She, J, Sheikhbahaei, S, Shepard, D, 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, S, Speyer PSposato LA, Sreeramareddy, Ct, Stoeckl, H, Stathopoulou, Vk, Steckling, N, Stein, Mb, Stein, Dj, Steiner, Tj, Stewart, A, Stork, E, Stovner LJStroumpoulis, 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, Te Ao BJ, Temesgen, Am, Ten Have, M, Tenkorang, Ey, Terkawi, A, 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 KNUndurraga EA, Uzun, Sb, van Brakel WH, van de Vijver, S, Van Dingenen, R, van Gool CH, Varakin, Yy, Vasankari, Tj, Vavilala, M, Veerman LJVelasquez-Melendez, G, Venketasubramanian, N, Vijayakumar, L, Villalpando, S, Violante, F, Vlassov, Vv, Waller, S, Wallin, Mt, Wan, X, Wang, L, Wang, J, Wang, Y, Warouw, T, Weichenthal, S, Weiderpass, E, Weintraub, Rg, Werdecker, A, Wessells, Kr, Westerman, R, Wilkinson, Jd, Williams HCWilliams TN, Woldeyohannes, Sm, Wolfe, Cd, Wong, Jq, Wong, H, Woolf, Ad, Wright, Jl, Wurtz, B, Xu, G, Yang, G, Yano, Y, Yenesew, Ma, Yentur GKYip, P, Yonemoto, N, Yoon, Sj, Younis, M, Yu, C, Kim, Ky, Zaki Mel, S, Zhang, Y, Zhao, Z, Zhao, Y, Zhu, J, Zonies, D, Zunt, Jr, Salomon, Ja, Murray, Cj., Vos, Theo, Barber, Ryan M., Bell, Brad, Bertozzi-Villa, Amelia, Biryukov, Stan, Bolliger, Ian, Charlson, Fiona, Davis, Adrian, Degenhardt, Louisa, Dicker, Daniel, Duan, Leilei, Erskine, Holly, Feigin, Valery L., Ferrari, Alize J., Fitzmaurice, Christina, Fleming, Thoma, Graetz, Nichola, Guinovart, Caterina, Haagsma, Juanita, Hansen, Gillian M., Hanson, Sarah Wulf, Heuton, Kyle R., Higashi, Hideki, Kassebaum, Nichola, Kyu, Hmwe, Laurie, Evan, Liang, Xiofeng, Lofgren, Katherine, Lozano, Rafael, Macintyre, Michael F., Moradi-Lakeh, Maziar, Naghavi, Mohsen, Nguyen, Grant, Odell, Shaun, Ortblad, Katrina, Roberts, David Allen, Roth, Gregory A., Sandar, Logan, Serina, Peter T., Stanaway, Jeffrey D., Steiner, Caitlyn, Thomas, Bernadette, Vollset, Stein Emil, Whiteford, Harvey, Wolock, Timothy M., Ye, Pengpeng, Zhou, Maigeng, Ãvila, Marco A., Aasvang, Gunn Marit, Abbafati, Cristiana, Ozgoren, Ayse Abbasoglu, Abd-Allah, Foad, Aziz, Muna I. Abdel, Abera, Semaw F., Aboyans, Victor, Abraham, Jerry P., Abraham, Biju, Abubakar, Ibrahim, Abu-Raddad, Laith J., Abu-Rmeileh, Niveen M.E., Aburto, Tania C., Achoki, Tom, Ackerman, Ilana N., Adelekan, Ademola, Ademi, Zanfina, Adou, Arsène K., Adsuar, Josef C., Arnlov, Johan, Agardh, Emilie E., Al Khabouri, Mazin J., Alam, Sayed Saidul, Alasfoor, Deena, Albittar, Mohammed I., Alegretti, Miguel A., Aleman, Alicia V., Alemu, Zewdie A., Alfonso-Cristancho, Rafael, Alhabib, Samia, Ali, Raghib, Alla, Francoi, Allebeck, Peter, Allen, Peter J., Almazroa, Mohammad Abdulaziz, Alsharif, Ubai, Alvarez, Elena, Alvis-Guzman, Nelson, Ameli, Omid, Amini, Heresh, Ammar, Walid, Anderson, Benjamin O., Anderson, H. Ro, Antonio, Carl Abelardo T., Anwari, Palwasha, Apfel, Henry, Arsenijevic, Valentain S. Arsic, Artaman, Al, Asghar, Rana J., Assadi, Reza, Atkins, Lydia S., Atkinson, Charle, Badawi, Alaa, Bahit, Maria C., Bakfalouni, Talal, Balakrishnan, Kalpana, Balalla, Shivanthi, Banerjee, Amitava, Barker-Collo, Suzanne L., Barquera, Simon, Barregard, Lar, Barrero, Lope H., Basu, Sanjay, Basu, Arindam, Baxter, Amanda, Beardsley, Justin, Bedi, Neeraj, Beghi, Ettore, Bekele, Tolesa, Bell, Michelle L., Benjet, Corina, Bennett, Derrick A., Bensenor, Isabela M., Benzian, Habib, Bernabe, Eduardo, Beyene, Tariku J., Bhala, Neeraj, Bhalla, Ashish, Bhutta, Zulfiqar, Bienhoff, Kelly, Bikbov, Bori, Abdulhak, Aref Bin, Blore, Jed D., Blyth, Fiona M., Bohensky, Megan A., Basara, Berrak Bora, Borges, Guilherme, Bornstein, Natan M., Bose, Dipan, Boufous, Soufiane, Bourne, Rupert R., Boyers, Lindsay N., Brainin, Michael, Brauer, Michael, Brayne, Carol E.G., Brazinova, Alexandra, Breitborde, Nicholas J.K., Brenner, Hermann, Briggs, Adam D.M., Brooks, Peter M., Brown, Jonathan, Brugha, Traolach S., Buchbinder, Rachelle, Buckle, Geoffrey C., Bukhman, Gene, Bulloch, Andrew G., Burch, Michael, Burnett, Richard, Cardenas, Rosario, Cabral, Norberto L., Campos-Nonato, Ismael R., Campuzano, Julio C., Carapetis, Jonathan R., Carpenter, David O., Caso, Valeria, Castaneda-Orjuela, Carlos A., Catala-Lopez, Ferran, Chadha, Vineet K., Chang, Jung-Chen, Chen, Honglei, Chen, Wanqing, Chiang, Peggy P., Chimed-Ochir, Odgerel, Chowdhury, Rajiv, Christensen, Hanne, Christophi, Costas A., Chugh, Sumeet S., Cirillo, Massimo, Coggeshall, Megan, Cohen, Aaron, Colistro, Valentina, Colquhoun, Samantha M., Contreras, Alejandra G., Cooper, Leslie T., Cooper, Cyru, Cooperrider, Kimberly, Coresh, Josef, Cortinovis, Monica, Criqui, Michael H., Crump, John A., Cuevas-Nasu, Lucia, Dandona, Rakhi, Dandona, Lalit, Dansereau, Emily, Dantes, Hector G., Dargan, Paul I., Davey, Gail, Davitoiu, Dragos V., Dayama, Anand, De La Cruz-Gongora, Vanessa, De La Vega, Shelley F., De Leo, Diego, Del Pozo-Cruz, Borja, Dellavalle, Robert P., Deribe, Kebede, Derrett, Sarah, Des Jarlais, Don C., Dessalegn, Muluken, Deveber, Gabrielle A., Dharmaratne, Samath D., Diaz-Torne, Cesar, Ding, Eric L., Dokova, Klara, Dorsey, E.R., Driscoll, Tim R., Duber, Herbert, Durrani, Adnan M., Edmond, Karen M., Ellenbogen, Richard G., Endres, Matthia, Ermakov, Sergey P., Eshrati, Babak, Esteghamati, Alireza, Estep, Kara, Fahimi, Saman, Farzadfar, Farshad, Fay, Derek F.J., Felson, David T., Fereshtehnejad, Seyed-Mohammad, Fernandes, Jefferson G., Ferri, Cluesa P., Flaxman, Abraham, Foigt, Nataliya, Foreman, Kyle J., Fowkes, F Gerry R., Franklin, Richard C., Furst, Thoma, Futran, Neal D., Gabbe, Belinda J., Gankpe, Fortune G., Garcia-Guerra, Francisco A., Geleijnse, Johanna M., Gessner, Bradford D., Gibney, Katherine B., Gillum, Richard F., Ginawi, Ibrahim A., Giroud, Maurice, Giussani, Giorgia, Goenka, Shifalika, Goginashvili, Ketevan, Gona, Philimon, De Cosio, Teresita Gonzalez, Gosselin, Richard A., Gotay, Carolyn C., Goto, Atsushi, Gouda, Hebe N., Guerrant, Richard L., Gugnani, Harish C., Gunnell, David, Gupta, Rajeev, Gupta, Rahul, Gutierrez, Reyna A., Hafezi-Nejad, Nima, Hagan, Holly, Halasa, Yara, Hamadeh, Randah R., Hamavid, Hannah, Hammami, Mouhanad, Hankey, Graeme J., Hao, Yuantao, Harb, Hilda L., Haro, Josep Maria, Havmoeller, Rasmu, Hay, Roderick J., Hay, Simon, Hedayati, Mohammad T., Pi, Ileana B. Heredia, Heydarpour, Pouria, Hijar, Martha, Hoek, Hans W., Hoffman, Howard J., Hornberger, John C., Hosgood, H. Dean, Hossain, Mazeda, Hotez, Peter J., Hoy, Damian G., Hsairi, Mohamed, Hu, Howard, Hu, Guoqing, Huang, John J., Huang, Cheng, Huiart, Laetitia, Husseini, Abdullatif, Iannarone, Marissa, Iburg, Kim M., Innos, Kaire, Inoue, Manami, Jacobsen, Kathryn H., Jassal, Simerjot K., Jeemon, Panniyammakal, Jensen, Paul N., Jha, Vivekanand, Jiang, Guohong, Jiang, Ying, Jonas, Jost B., Joseph, Jonathan, Juel, Knud, Kan, Haidong, Karch, Andre, Karimkhani, Chante, Karthikeyan, Ganesan, Katz, Ronit, Kaul, Anil, Kawakami, Norito, Kazi, Dhruv S., Kemp, Andrew H., Kengne, Andre P., Khader, Yousef S., Khalifa, Shams Eldin A.H., Khan, Ejaz A., Khan, Gulfaraz, Khang, Young-Ho, Khonelidze, Irma, Kieling, Christian, Kim, Daniel, Kim, Sungroul, Kimokoti, Ruth W., Kinfu, Yohanne, Kinge, Jonas M., Kissela, Brett M., Kivipelto, Miia, Knibbs, Luke, Knudsen, Ann Kristin, Kokubo, Yoshihiro, Kosen, Soewarta, Kramer, Alexander, Kravchenko, Michael, Krishnamurthi, Rita V., Krishnaswami, Sanjay, Defo, Barthelemy Kuate, Bicer, Burcu Kucuk, Kuipers, Ernst J., Kulkarni, Veena S., Kumar, Kaushalendra, Kumar, G Anil, Kwan, Gene F., Lai, Taavi, Lalloo, Ratilal, Lam, Hilton, Lan, Qing, Lansingh, Van C., Larson, Heidi, Larsson, Ander, Lawrynowicz, Alicia E.B., Leasher, Janet L., Lee, Jong-Tae, Leigh, Jame, Leung, Ricky, Levi, Miriam, Li, Bin, Li, Yichong, Li, Yongmei, Liang, Juan, Lim, Stephen, Lin, Hsien-Ho, Lind, Margaret, Lindsay, M Patrice, Lipshultz, Steven E., Liu, Shiwei, Lloyd, Belinda K., Ohno, Summer Lockett, Logroscino, Giancarlo, Looker, Katharine J., Lopez, Alan D., Lopez-Olmedo, Nancy, Lortet-Tieulent, Joannie, Lotufo, Paulo A., Low, Nicola, Lucas, Robyn M., Lunevicius, Raimunda, Lyons, Ronan A., Ma, Jixiang, Ma, Stefan, Mackay, Mark T., Majdan, Marek, Malekzadeh, Reza, Mapoma, Christopher C., Marcenes, Wagner, March, Lyn M., Margono, Chri, Marks, Guy B., Marzan, Melvin B., Masci, Joseph R., Mason-Jones, Amanda J., Matzopoulos, Richard G., Mayosi, Bongani M., Mazorodze, Tasara T., Mcgill, Neil W., Mcgrath, John J., Mckee, Martin, Mclain, Abby, Mcmahon, Brian J., Meaney, Peter A., Mehndiratta, Man Mohan, Mejia-Rodriguez, Fabiola, Mekonnen, Wubegzier, Melaku, Yohannes A., Meltzer, Michele, Memish, Ziad A., Mensah, George, Meretoja, Atte, Mhimbira, Francis A., Micha, Renata, Miller, Ted R., Mills, Edward J., Mitchell, Philip B., Mock, Charles N., Moffitt, Terrie E., Ibrahim, Norlinah Mohamed, Mohammad, Karzan A., Mokdad, Ali H., Mola, Glen L., Monasta, Lorenzo, Montico, Marcella, Montine, Thomas J., Moore, Ami R., Moran, Andrew E., Morawska, Lidia, Mori, Rintaro, Moschandreas, Joanna, Moturi, Wilkister N., Moyer, Madeline, Mozaffarian, Dariush, Mueller, Ulrich O., Mukaigawara, Mitsuru, Murdoch, Michele E., Murray, Joseph, Murthy, Kinnari S., Naghavi, Paria, Nahas, Ziad, Naheed, Aliya, Naidoo, Kovin S., Naldi, Luigi, Nand, Devina, Nangia, Vinay, Narayan, K.M. 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
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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.
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- 2015
32. Occupational and leisure time physical inactivity and the risk of type II diabetes and hypertension among Mexican adults: A prospective cohort study
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Medina, C., primary, Janssen, I., additional, Barquera, S., additional, Bautista-Arredondo, S., additional, González, M. E., additional, and González, C., additional
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- 2018
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- View/download PDF
33. Monitoring the health-related labelling of foods and non-alcoholic beverages in retail settings
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Rayner, M, Wood, A, Lawrence, M, Mhurchu, CN, Albert, J, Barquera, S, Friel, S, Hawkes, C, Kelly, B, Kumanyika, S, L'abbé, M, Lee, A, Lobstein, T, Ma, J, Macmullan, J, Mohan, S, Monteiro, C, Neal, B, Sacks, G, Sanders, D, Snowdon, W, Swinburn, B, Vandevijvere, S, and Walker, C
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Male ,Marketing ,digestive, oral, and skin physiology ,Commerce ,Health Promotion ,Choice Behavior ,Nutrition Policy ,Beverages ,Benchmarking ,Food Labeling ,Government Regulation ,Humans ,Female ,Obesity - Abstract
Food labelling on food packaging has the potential to have both positive and negative effects on diets. Monitoring different aspects of food labelling would help to identify priority policy options to help people make healthier food choices. A taxonomy of the elements of health-related food labelling is proposed. A systematic review of studies that assessed the nature and extent of health-related food labelling has been conducted to identify approaches to monitoring food labelling. A step-wise approach has been developed for independently assessing the nature and extent of health-related food labelling in different countries and over time. Procedures for sampling the food supply, and collecting and analysing data are proposed, as well as quantifiable measurement indicators and benchmarks for health-related food labelling.
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- 2016
34. Monitoring policy and actions on food environments: rationale and outline of the INFORMAS policy engagement and communication strategies
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Brinsden, H, Lobstein, T, Landon, J, Kraak, V, Sacks, G, Kumanyika, S, Swinburn, B, Barquera, S, Friel, S, Hawkes, C, Kelly, B, L'abbé, M, Lee, A, Ma, J, Macmullen, J, Mohan, S, Monteiro, C, Neal, B, Rayner, M, Sanders, D, Snowdon, W, Vandevijvere, S, and Walker, C
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Male ,Alcohol Drinking ,Communication ,Health Policy ,Food Services ,Infant ,Feeding Behavior ,Health Promotion ,Diet ,Nutrition Policy ,Tobacco Use ,Socioeconomic Factors ,Humans ,Female ,Infant Food ,Obesity ,Public Health ,Exercise - Abstract
The International Network for Food and Obesity/non-communicable diseases Research, Monitoring and Action Support (INFORMAS) proposes to collect performance indicators on food policies, actions and environments related to obesity and non-communicable diseases. This paper reviews existing communications strategies used for performance indicators and proposes the approach to be taken for INFORMAS. Twenty-seven scoring and rating tools were identified in various fields of public health including alcohol, tobacco, physical activity, infant feeding and food environments. These were compared based on the types of indicators used and how they were quantified, scoring methods, presentation and the communication and reporting strategies used. There are several implications of these analyses for INFORMAS: the ratings/benchmarking approach is very commonly used, presumably because it is an effective way to communicate progress and stimulate action, although this has not been formally evaluated; the tools used must be trustworthy, pragmatic and policy-relevant; multiple channels of communication will be needed; communications need to be tailored and targeted to decision-makers; data and methods should be freely accessible. The proposed communications strategy for INFORMAS has been built around these lessons to ensure that INFORMAS's outputs have the greatest chance of being used to improve food environments.
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- 2016
35. Correction to: Impact of nonoptimal intakes of saturated, polyunsaturated, and trans fat on global burdens of coronary heart disease. [J Am Heart Assoc. (2016) 5, e002891.] Doi:10.1161/JAHA.115.002891
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Wang, Q. Afshin, A. Yakoob, M.Y. Singh, G.M. Rehm, C.D. Khatibzadeh, S. Micha, R. Shi, P. Mozaffarian, D. Ezzati, M. Fahimi, S. Wirojratana, P. Powles, J. Elmadfa, I. Rao, M. Alpert, W. Lim, S.S. Engell, R.E. Andrews, K.G. Abbott, P.A. Abdollahi, M. Abeyá Gilardon, E.O. Ahsan, H. Al Nsour, M.A.A. Al-Hooti, S.N. Arambepola, C. Fernando, D.N. Barennes, H. Barquera, S. Baylin, A. Becker, W. Bjerregaard, P. Bourne, L.T. Capanzana, M.V. Castetbon, K. Chang, H.-Y. Chen, Y. Cowan, M.J. Riley, L.M. De Henauw, S. Ding, E.L. Duante, C.A. Duran, P. Barbieri, H.E. Farzadfar, F. Hadziomeragic, A.F. Fisberg, R.M. Forsyth, S. Garriguet, D. Gaspoz, J.-M. Gauci, D. Calleja, N. Ginnela, B.N.V. Guessous, I. Gulliford, M.C. Hadden, W. Haerpfer, C. Hoffman, D.J. Houshiar-Rad, A. Huybrechts, I. Hwalla, N.C. Ibrahim, H.M. Inoue, M. Jackson, M.D. Johansson, L. Keinan-Boker, L. Kim, C.-I. Koksal, E. Lee, H.-J. Li, Y. Lipoeto, N.I. Ma, G. Mangialavori, G.L. Matsumura, Y. McGarvey, S.T. Fen, C.M. Monge-Rojas, R.A. Musaiger, A.O. Nagalla, B. Naska, A. Ocke, M.C. Oltarzewski, M. Szponar, L. Orfanos, P. Ovaskainen, M.-L. Tapanainen, H. Pan, W.-H. Panagiotakos, D.B. Pekcan, G.A. Petrova, S. Piaseu, N. Pitsavos, C. Posada, L.G. Sánchez-Romero, L.M. Selamat, R.B.T. Sharma, S. Sibai, A.M. Sichieri, R. Simmala, C. Steingrimsdottir, L. Swan, G. Sygnowska, E.H. Templeton, R. Thanopoulou, A. Thorgeirsdóttir, H. Thorsdottir, I. Trichopoulou, A. Tsugane, S. Turrini, A. Vaask, S. van Oosterhout, C. Veerman, J.L. Verena, N. Waskiewicz, A. Zaghloul, S. Zajkás, G.
- Abstract
In the article by Wang et al, "Impact of Nonoptimal Intakes of Saturated, Polyunsaturated, and Trans Fat on Global Burdens of Coronary Heart Disease," which published online January 20, 2016, and appeared in the January 2016 issue of the journal (J Am Heart Assoc. 2016;5:e002891 doi:10.1161/ JAHA.115.002891), the full list of the Global Burden of Diseases Nutrition and Chronic Diseases Expert Group (NutriCoDE) group were erroneously listed as authors in the HTML version of the article. The publisher regrets the error. The online version of the article has been updated and is available at http://jaha.ahajournals.org/content/5/1/ e002891. © 2016 The Authors.
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- 2016
36. Impact of nonoptimal intakes of saturated, polyunsaturated, and trans fat on global burdens of coronary heart disease
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Wang, Q. Afshin, A. Yakoob, M.Y. Singh, G.M. Rehm, C.D. Khatibzadeh, S. Micha, R. Shi, P. Mozaffarian, D. Ezzati, M. Fahimi, S. Wirojratana, P. Powles, J. Elmadfa, I. Rao, M. Alpert, W. Lim, S.S. Engell, R.E. Andrews, K.G. Abbott, P.A. Abdollahi, M. Abeyá Gilardon, E.O. Ahsan, H. Al Nsour, M.A.A. Al-Hooti, S.N. Arambepola, C. Fernando, D.N. Barennes, H. Barquera, S. Baylin, A. Becker, W. Bjerregaard, P. Bourne, L.T. Capanzana, M.V. Castetbon, K. Chang, H.-Y. Chen, Y. Cowan, M.J. Riley, L.M. De Henauw, S. Ding, E.L. Duante, C.A. Duran, P. Barbieri, H.E. Farzadfar, F. Hadziomeragic, A.F. Fisberg, R.M. Forsyth, S. Garriguet, D. Gaspoz, J.-M. Gauci, D. Calleja, N. Ginnela, B.N.V. Guessous, I. Gulliford, M.C. Hadden, W. Haerpfer, C. Hoffman, D.J. Houshiar-Rad, A. Huybrechts, I. Hwalla, N.C. Ibrahim, H.M. Inoue, M. Jackson, M.D. Johansson, L. Keinan-Boker, L. Kim, C.-I. Koksal, E. Lee, H.-J. Li, Y. Lipoeto, N.I. Ma, G. Mangialavori, G.L. Matsumura, Y. McGarvey, S.T. Fen, C.M. Monge-Rojas, R.A. Musaiger, A.O. Nagalla, B. Naska, A. Ocke, M.C. Oltarzewski, M. Szponar, L. Orfanos, P. Ovaskainen, M.-L. Tapanainen, H. Pan, W.-H. Panagiotakos, D.B. Pekcan, G.A. Petrova, S. Piaseu, N. Pitsavos, C. Posada, L.G. Sánchez-Romero, L.M. Selamat, R.B.T. Sharma, S. Sibai, A.M. Sichieri, R. Simmala, C. Steingrimsdottir, L. Swan, G. Sygnowska, E.H. Templeton, R. Thanopoulou, A. Thorgeirsdóttir, H. Thorsdottir, I. Trichopoulou, A. Tsugane, S. Turrini, A. Vaask, S. van Oosterhout, C. Veerman, J.L. Verena, N. Waskiewicz, A. Zaghloul, S. Zajkás, G.
- Abstract
Background: Saturated fat (SFA), x-6 (n-6) polyunsaturated fat (PUFA), and trans fat (TFA) influence risk of coronary heart disease (CHD), but attributable CHD mortalities by country, age, sex, and time are unclear. Methods and Results: National intakes of SFA, n-6 PUFA, and TFA were estimated using a Bayesian hierarchical model based on country-specific dietary surveys; food availability data; and, for TFA, industry reports on fats/oils and packaged foods. Etiologic effects of dietary fats on CHD mortality were derived from meta-analyses of prospective cohorts and CHD mortality rates from the 2010 Global Burden of Diseases study. Absolute and proportional attributable CHD mortality were computed using a comparative risk assessment framework. In 2010, nonoptimal intakes of n-6 PUFA, SFA, and TFA were estimated to result in 711 800 (95% uncertainty interval [UI] 680 700-745 000), 250 900 (95% UI 236 900-265 800), and 537 200 (95% UI 517 600-557 000) CHD deaths per year worldwide, accounting for 10.3% (95% UI 9.9%-10.6%), 3.6%, (95% UI 3.5%-3.6%) and 7.7% (95% UI 7.6%-7.9%) of global CHD mortality. Tropical oil-consuming countries were estimated to have the highest proportional n-6 PUFA- and SFAattributable CHD mortality, whereas Egypt, Pakistan, and Canada were estimated to have the highest proportional TFA-attributable CHD mortality. From 1990 to 2010 globally, the estimated proportional CHD mortality decreased by 9% for insufficient n-6 PUFA and by 21% for higher SFA, whereas it increased by 4% for higher TFA, with the latter driven by increases in low- and middle-income countries. Conclusions: Nonoptimal intakes of n-6 PUFA, TFA, and SFA each contribute to significant estimated CHD mortality, with important heterogeneity across countries that informs nation-specific clinical, public health, and policy priorities. © 2016 The Authors.
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- 2016
37. Erratum: Hypertension in Mexico and among Mexican Americans: prevalence and treatment patterns
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Barquera, S, Durazo-Arvizu, R A, Luke, A, Cao, G, and Cooper, R S
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- 2008
- Full Text
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38. Erratum: The overlap of overweight and anaemia among women in three countries undergoing the nutrition transition
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Eckhardt, C L, Torheim, L E, Monterrubio, E, Barquera, S, and Ruel, M T
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- 2008
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39. Monitoring foods and beverages provided and sold in public sector settings
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L'Abbé, M, Schermel, A, Minaker, L, Kelly, B, Lee, A, Vandevijvere, S, Twohig, P, Barquera, S, Friel, S, Hawkes, C, Kumanyika, S, Lobstein, T, Ma, J, Macmullan, J, Mohan, S, Monteiro, C, Neal, B, Rayner, M, Sacks, G, Sanders, D, Snowdon, W, Swinburn, B, and Walker, C
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Male ,Public Sector ,Schools ,Adolescent ,Adolescent Nutritional Physiological Phenomena ,Commerce ,Food Services ,Nutrition Policy ,Beverages ,Menu Planning ,Food ,Child, Preschool ,Government Regulation ,Humans ,Female ,Guideline Adherence ,Obesity ,Child ,Child Nutritional Physiological Phenomena ,Nutritive Value - Abstract
This paper outlines a step-wise framework for monitoring foods and beverages provided or sold in publicly funded institutions. The focus is on foods in schools, but the framework can also be applied to foods provided or sold in other publicly funded institutions. Data collection and evaluation within this monitoring framework will consist of two components. In component I, information on existing food or nutrition policies and/or programmes within settings would be compiled. Currently, nutrition standards and voluntary guidelines associated with such policies/programmes vary widely globally. This paper, which provides a comprehensive review of such standards and guidelines, will facilitate institutional learnings for those jurisdictions that have not yet established them or are undergoing review of existing ones. In component II, the quality of foods provided or sold in public sector settings is evaluated relative to existing national or sub-national nutrition standards or voluntary guidelines. Where there are no (or only poor) standards or guidelines available, the nutritional quality of foods can be evaluated relative to standards of a similar jurisdiction or other appropriate standards. Measurement indicators are proposed (within 'minimal', 'expanded' and 'optimal' approaches) that can be used to monitor progress over time in meeting policy objectives, and facilitate comparisons between countries.
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- 2013
40. P59 Changes in the body mass index and waist circumference distribution of adults aged 25–64 years in England, Scotland, and the United States, 1998–2012
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Scholes, S, primary, Moody, A, additional, Alfaro, T, additional, Frenz, P, additional, Dominguez, A, additional, Sanchez-Romero, L, additional, Vecino-Ortiz, A, additional, Borges, C, additional, Margozzini, P, additional, Mindell, J, additional, Cabrera, S, additional, Barquera, S, additional, and de Oliveira, C, additional
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- 2016
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41. Pitfalls of the self-regulation of advertisements directed at children on Mexican television
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Théodore, F. L., primary, Tolentino-Mayo, L., additional, Hernández-Zenil, E., additional, Bahena, L., additional, Velasco, A., additional, Popkin, B., additional, Rivera, J. A., additional, and Barquera, S., additional
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- 2016
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42. Monitoring and benchmarking government policies and actions to improve the healthiness of food environments: a proposed Government Healthy Food Environment Policy Index
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Swinburn, B, Vandevijvere, S, Kraak, V, Sacks, G, Snowdon, W, Hawkes, C, Barquera, S, Friel, S, Kelly, B, Kumanyika, S, L'Abbe, M, Lee, A, Lobstein, T, Ma, J, Macmullan, J, Mohan, S, Monteiro, C, Neal, B, Rayner, M, Sanders, D, Walker, C, and INFORMAS
- Abstract
Government action is essential to increase the healthiness of food environments and reduce obesity, diet‐related non‐communicable diseases (NCDs), and their related inequalities. This paper proposes a monitoring framework to assess government policies and actions for creating healthy food environments. Recommendations from relevant authoritative organizations and expert advisory groups for reducing obesity and NCDs were examined, and pertinent components were incorporated into a comprehensive framework for monitoring government policies and actions. A Government Healthy Food Environment Policy Index (Food‐EPI) was developed, which comprises a ‘policy’ component with seven domains on specific aspects of food environments, and an ‘infrastructure support’ component with seven domains to strengthen systems to prevent obesity and NCDs. These were revised through a week‐long consultation process with international experts. Examples of good practice statements are proposed within each domain, and these will evolve into benchmarks established by governments at the forefront of creating and implementing food policies for good health. A rating process is proposed to assess a government's level of policy implementation towards good practice. The Food‐EPI will be pre‐tested and piloted in countries of varying size and income levels. The benchmarking of government policy implementation has the potential to catalyse greater action to reduce obesity and NCDs.
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- 2013
43. A proposed approach to monitor private‐sector policies and practices related to food environments, obesity and non‐communicable disease prevention
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Sacks, G, Swinburn, B, Kraak, V, Downs, S, Walker, C, Barquera, S, Friel, S, Hawkes, C, Kelly, B, Kumanyika, S, L'Abbe, M, Lee, A, Lobstein, T, Ma, J, Macmullan, J, Mohan, S, Monteiro, C, Neal, B, Rayner, M, Sanders, D, Snowdon, W, Vandevijvere, S, and INFORMAS
- Abstract
Private‐sector organizations play a critical role in shaping the food environments of individuals and populations. However, there is currently very limited independent monitoring of private‐sector actions related to food environments. This paper reviews previous efforts to monitor the private sector in this area, and outlines a proposed approach to monitor private‐sector policies and practices related to food environments, and their influence on obesity and non‐communicable disease (NCD) prevention. A step‐wise approach to data collection is recommended, in which the first (‘minimal’) step is the collation of publicly available food and nutrition‐related policies of selected private‐sector organizations. The second (‘expanded’) step assesses the nutritional composition of each organization's products, their promotions to children, their labelling practices, and the accessibility, availability and affordability of their products. The third (‘optimal’) step includes data on other commercial activities that may influence food environments, such as political lobbying and corporate philanthropy. The proposed approach will be further developed and piloted in countries of varying size and income levels. There is potential for this approach to enable national and international benchmarking of private‐sector policies and practices, and to inform efforts to hold the private sector to account for their role in obesity and NCD prevention.
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- 2013
44. Monitoring the impacts of trade agreements on food environments
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Friel, S, Hattersley, L, Snowdon, W, Thow, AM, Lobstein, T, Sanders, D, Barquera, S, Mohan, S, Hawkes, C, Kelly, B, Kumanyika, S, L'Abbé, M, Lee, A, Ma, J, Macmullan, J, Monteiro, C, Neal, B, Rayner, M, Sacks, G, Swinburn, B, Vandevijvere, S, Walker, C, and INFORMAS
- Abstract
The liberalization of international trade and foreign direct investment through multilateral, regional and bilateral agreements has had profound implications for the structure and nature of food systems, and therefore, for the availability, nutritional quality, accessibility, price and promotion of foods in different locations. Public health attention has only relatively recently turned to the links between trade and investment agreements, diets and health, and there is currently no systematic monitoring of this area. This paper reviews the available evidence on the links between trade agreements, food environments and diets from an obesity and non‐communicable disease (NCD) perspective. Based on the key issues identified through the review, the paper outlines an approach for monitoring the potential impact of trade agreements on food environments and obesity/NCD risks. The proposed monitoring approach encompasses a set of guiding principles, recommended procedures for data collection and analysis, and quantifiable ‘minimal’, ‘expanded’ and ‘optimal’ measurement indicators to be tailored to national priorities, capacity and resources. Formal risk assessment processes of existing and evolving trade and investment agreements, which focus on their impacts on food environments will help inform the development of healthy trade policy, strengthen domestic nutrition and health policy space and ultimately protect population nutrition.
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- 2013
45. Monitoring the price and affordability of foods and diets globally
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Lee, A, Mhurchu, CN, Sacks, G, Swinburn, B, Snowdon, W, Vandevijvere, S, Hawkes, C, L'Abbé, M, Rayner, M, Sanders, D, Barquera, S, Friel, S, Kelly, B, Kumanyika, S, Lobstein, T, Ma, J, Macmullan, J, Mohan, S, Monteiro, C, Neal, B, Walker, C, and INFORMAS
- Subjects
digestive, oral, and skin physiology ,health care economics and organizations - Abstract
Food prices and food affordability are important determinants of food choices, obesity and non‐communicable diseases. As governments around the world consider policies to promote the consumption of healthier foods, data on the relative price and affordability of foods, with a particular focus on the difference between ‘less healthy’ and ‘healthy’ foods and diets, are urgently needed. This paper briefly reviews past and current approaches to monitoring food prices, and identifies key issues affecting the development of practical tools and methods for food price data collection, analysis and reporting. A step‐wise monitoring framework, including measurement indicators, is proposed. ‘Minimal’ data collection will assess the differential price of ‘healthy’ and ‘less healthy’ foods; ‘expanded’ monitoring will assess the differential price of ‘healthy’ and ‘less healthy’ diets; and the ‘optimal’ approach will also monitor food affordability, by taking into account household income. The monitoring of the price and affordability of ‘healthy’ and ‘less healthy’ foods and diets globally will provide robust data and benchmarks to inform economic and fiscal policy responses. Given the range of methodological, cultural and logistical challenges in this area, it is imperative that all aspects of the proposed monitoring framework are tested rigorously before implementation.
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- 2013
46. Monitoring policy and actions on food environments: rationale and outline of the INFORMAS policy engagement and communication strategies
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Brinsden, H, Lobstein, T, Landon, J, Kraak, V, Sacks, G, Kumanyika, S, Swinburn, B, Barquera, S, Friel, S, Hawkes, C, Kelly, B, L'Abbé, M, Lee, A, Ma, J, Macmullan, J, Mohan, S, Monteiro, C, Neal, B, Rayner, M, Sanders, D, Snowdon, W, Vandevijvere, S, Walker, C, and INFORMAS
- Abstract
The International Network for Food and Obesity/non‐communicable diseases Research, Monitoring and Action Support (INFORMAS) proposes to collect performance indicators on food policies, actions and environments related to obesity and non‐communicable diseases. This paper reviews existing communications strategies used for performance indicators and proposes the approach to be taken for INFORMAS. Twenty‐seven scoring and rating tools were identified in various fields of public health including alcohol, tobacco, physical activity, infant feeding and food environments. These were compared based on the types of indicators used and how they were quantified, scoring methods, presentation and the communication and reporting strategies used. There are several implications of these analyses for INFORMAS: the ratings/benchmarking approach is very commonly used, presumably because it is an effective way to communicate progress and stimulate action, although this has not been formally evaluated; the tools used must be trustworthy, pragmatic and policy‐relevant; multiple channels of communication will be needed; communications need to be tailored and targeted to decision‐makers; data and methods should be freely accessible. The proposed communications strategy for INFORMAS has been built around these lessons to ensure that INFORMAS's outputs have the greatest chance of being used to improve food environments.
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- 2013
47. Monitoring the levels of important nutrients in the food supply
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Neal, B, Sacks, G, Swinburn, B, Vandevijvere, S, Dunford, E, Snowdon, W, Webster, J, Barquera, S, Friel, S, Hawkes, C, Kelly, B, Kumanyika, S, L'Abbé, M, Lee, A, Lobstein, T, Ma, J, Macmullan, J, Mohan, S, Monteiro, C, Rayner, M, Sanders, D, Walker, C, and INFORMAS
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digestive, oral, and skin physiology - Abstract
A food supply that delivers energy‐dense products with high levels of salt, saturated fats and trans fats, in large portion sizes, is a major cause of non‐communicable diseases (NCDs). The highly processed foods produced by large food corporations are primary drivers of increases in consumption of these adverse nutrients. The objective of this paper is to present an approach to monitoring food composition that can both document the extent of the problem and underpin novel actions to address it. The monitoring approach seeks to systematically collect information on high‐level contextual factors influencing food composition and assess the energy density, salt, saturated fat, trans fats and portion sizes of highly processed foods for sale in retail outlets (with a focus on supermarkets and quick‐service restaurants). Regular surveys of food composition are proposed across geographies and over time using a pragmatic, standardized methodology. Surveys have already been undertaken in several high‐ and middle‐income countries, and the trends have been valuable in informing policy approaches. The purpose of collecting data is not to exhaustively document the composition of all foods in the food supply in each country, but rather to provide information to support governments, industry and communities to develop and enact strategies to curb food‐related NCDs.
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- 2013
48. INFORMAS (International Network for Food and Obesity/non‐communicable diseases Research, Monitoring and Action Support): overview and key principles
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Swinburn, B, Sacks, G, Vandevijvere, S, Kumanyika, S, Lobstein, T, Neal, B, Barquera, S, Friel, S, Hawkes, C, Kelly, B, L'Abbe, M, Lee, A, Ma, J, Macmullan, J, Mohan, S, Monteiro, C, Rayner, M, Sanders, D, Snowdon, W, Walker, C, and INFORMAS
- Abstract
Non‐communicable diseases (NCDs) dominate disease burdens globally and poor nutrition increasingly contributes to this global burden. Comprehensive monitoring of food environments, and evaluation of the impact of public and private sector policies on food environments is needed to strengthen accountability systems to reduce NCDs. The International Network for Food and Obesity/NCDs Research, Monitoring and Action Support (INFORMAS) is a global network of public‐interest organizations and researchers that aims to monitor, benchmark and support public and private sector actions to create healthy food environments and reduce obesity, NCDs and their related inequalities. The INFORMAS framework includes two ‘process’ modules, that monitor the policies and actions of the public and private sectors, seven ‘impact’ modules that monitor the key characteristics of food environments and three ‘outcome’ modules that monitor dietary quality, risk factors and NCD morbidity and mortality. Monitoring frameworks and indicators have been developed for 10 modules to provide consistency, but allowing for stepwise approaches (‘minimal’, ‘expanded’, ‘optimal’) to data collection and analysis. INFORMAS data will enable benchmarking of food environments between countries, and monitoring of progress over time within countries. Through monitoring and benchmarking, INFORMAS will strengthen the accountability systems needed to help reduce the burden of obesity, NCDs and their related inequalities.
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- 2013
49. Monitoring the health‐related labelling of foods and non‐alcoholic beverages in retail settings
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Rayner, M, Wood, A, Lawrence, M, Mhurchu, CN, Albert, J, Barquera, S, Friel, S, Hawkes, C, Kelly, B, Kumanyika, S, L'Abbé, M, Lee, A, Lobstein, T, Ma, J, Macmullan, J, Mohan, S, Monteiro, C, Neal, B, Sacks, G, Sanders, D, Snowdon, W, Swinburn, B, Vandevijvere, S, Walker, C, and INFORMAS
- Subjects
digestive, oral, and skin physiology - Abstract
Food labelling on food packaging has the potential to have both positive and negative effects on diets. Monitoring different aspects of food labelling would help to identify priority policy options to help people make healthier food choices. A taxonomy of the elements of health‐related food labelling is proposed. A systematic review of studies that assessed the nature and extent of health‐related food labelling has been conducted to identify approaches to monitoring food labelling. A step‐wise approach has been developed for independently assessing the nature and extent of health‐related food labelling in different countries and over time. Procedures for sampling the food supply, and collecting and analysing data are proposed, as well as quantifiable measurement indicators and benchmarks for health‐related food labelling.
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- 2013
50. Hypertension in Mexican adults: results from the National Health and Nutrition Survey 2006 Hipertensión en adultos mexicanos: resultados de la Encuesta Nacional de Nutrición y Salud 2006
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Barquera, S., Campos-Nonato, I., Hernández-Barrera, L., Salvador Villalpando, Rodríguez-Gilabert, C., Durazo-Arvizú, R., and Aguilar-Salinas, C. A.
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hipertensión arterial ,obesity ,lcsh:Public aspects of medicine ,dislipidemias ,diabetes tipo 2 ,lcsh:RA1-1270 ,type 2 diabetes ,dyslipidemias ,national surveys ,obesidad ,encuestas nacionales ,high blood pressure - Abstract
OBJECTIVE: To describe the prevalence of hypertension among Mexican adults, and to compare to that observed among Mexican-Americans living in the US. MATERIAL AND METHOD: The primary data source came from adults (>20 years) sampled (n=33366) in the Mexican National Health and Nutrition Survey 2006 (ENSANUT 2006). Hypertension was defined when systolic blood pressure was >140 and/or diastolic was >90 or patients previously diagnosed. RESULTS: A total of 43.2% of participants were classified as having hypertension. We found a positive statistically significant association (pOBJETIVO: Describir la prevalencia de hipertensión arterial de adultos mexicanos y compararla con la observada en mexicanos residentes en Estados Unidos (EUA). MATERIAL Y MÉTODOS: La principal fuente de información fue la muestra de adultos (>20 años) que participaron en la Encuesta Nacional de Salud y Nutrición 2006 (ENSANUT 2006) (n=33366). El diagnóstico de hipertensión se definió cuando la tensión arterial sistólica y/o diastólica fue >140/> 90 mmHg, o tenían diagnóstico médico previo. RESULTADOS: El 43.2% tuvo diagnóstico de hipertensión. Se encontró una asociación positiva (p
- Published
- 2010
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