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20. Prevalence, awareness, treatment, and control of hypertension based on ACC/AHA versus JNC7 guidelines in the PERSIAN cohort study

Author

Sepanlou, Sadaf, Najafi, Farid, Poustchi, Hossein, Parsaeian, Mahboubeh, Ahmadi, Ali, Somi, Mohammadhossein, Moradpour, Farhad, Alizadeh-Navaei, Reza, Gohari, Ali, Zamani, Bijan, Esmaeilinadimi, Ali, Rezaianzadeh, Abbas, Mansour-Ghanaei, Fariborz, Bahramali, Ehsan, Ansari-Moghaddam, Alireza, Hamzeh, Behrooz, Zanganeh Yousefabadi, Elham, Zare Sakhvidi, Mohammad Javad, Mohebbi, Iraj, Fattahi, Mohammad Reza, Nejatizadeh, Azim, Marioryad, Hossein, Motamed-Gorji, Nazgol, Roozafzai, Farzin, Eghtesad, Sareh, Mohammadi, Zahra, Shayanrad, Amaneh, Sharafkhah, Maryam, Etemadi, Arash, Kamangar, Farin, Juraschek, Stephen P., and Malekzadeh, Reza

Published
2022
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22. Population and fertility by age and sex for 195 countries and territories, 1950–2017: a systematic analysis for the Global Burden of Disease Study 2017

Author

Murray, Christopher JL, Callender, Charlton SKH, Kulikoff, Xie Rachel, Srinivasan, Vinay, Abate, Degu, Abate, Kalkidan Hassen, Abay, Solomon M, Abbasi, Nooshin, Abbastabar, Hedayat, Abdela, Jemal, Abdelalim, Ahmed, Abdel-Rahman, Omar, Abdi, Alireza, Abdoli, Nasrin, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abebe, Haftom Temesgen, Abebe, Molla, Abebe, Zegeye, Abebo, Teshome Abuka, Abejie, Ayenew Negesse, Aboyans, Victor, Abraha, Haftom Niguse, Abreu, Daisy Maria Xavier, Abrham, Aklilu Roba, Abu-Raddad, Laith Jamal, Abu-Rmeileh, Niveen ME, Accrombessi, Manfred Mario Kokou, Acharya, Pawan, Adamu, Abdu A, Adebayo, Oladimeji M, Adedeji, Isaac Akinkunmi, Adekanmbi, Victor, Adetokunboh, Olatunji O, Adhena, Beyene Meressa, Adhikari, Tara Ballav, Adib, Mina G, Adou, Arsène Kouablan, Adsuar, Jose C, Afarideh, Mohsen, Afshin, Ashkan, Agarwal, Gina, Agesa, Kareha M, Aghayan, Sargis Aghasi, Agrawal, Sutapa, Ahmadi, Alireza, Ahmadi, Mehdi, Ahmed, Muktar Beshir, Ahmed, Sayem, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Akanda, Ali S, Akbari, Mohammad Esmaeil, Akibu, Mohammed, Akinyemi, Rufus Olusola, Akinyemiju, Tomi, Akseer, Nadia, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alebel, Animut, Aleman, Alicia V, Alene, Kefyalew Addis, Al-Eyadhy, Ayman, Ali, Raghib, Alijanzadeh, Mehran, Alizadeh-Navaei, Reza, Aljunid, Syed Mohamed, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Almasi, Ali, Alonso, Jordi, Al-Raddadi, Rajaa M, Alsharif, Ubai, Altirkawi, Khalid, Alvis-Guzman, Nelson, Amare, Azmeraw T, Ammar, Walid, Anber, Nahla Hamed, Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Ansari, Hossein, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, Appiah, Seth Christopher Yaw, Aremu, Olatunde, Areri, Habtamu Abera, Arian, Nicholas, Ärnlöv, Johan, Artaman, Al, Aryal, Krishna K, Asayesh, Hamid, Asfaw, Ephrem Tsegay, Asgedom, Solomon Weldegebreal, Assadi, Reza, Atey, Tesfay Mehari Mehari, and Atique, Suleman

Subjects
Health Sciences, Behavioral and Social Science, Contraception/Reproduction, Basic Behavioral and Social Science, Aging, Aetiology, 2.4 Surveillance and distribution, Reproductive health and childbirth, Good Health and Well Being, Adolescent, Adult, Aged, Birth Rate, Child, Child, Preschool, Female, Global Burden of Disease, Global Health, Humans, Infant, Infant, Newborn, Male, Maternal Age, Middle Aged, Mortality, Population Density, Population Growth, Young Adult, GBD 2017 Population and Fertility Collaborators, Medical and Health Sciences, General & Internal Medicine, Biomedical and clinical sciences, Health sciences
Abstract

BackgroundPopulation estimates underpin demographic and epidemiological research and are used to track progress on numerous international indicators of health and development. To date, internationally available estimates of population and fertility, although useful, have not been produced with transparent and replicable methods and do not use standardised estimates of mortality. We present single-calendar year and single-year of age estimates of fertility and population by sex with standardised and replicable methods.MethodsWe estimated population in 195 locations by single year of age and single calendar year from 1950 to 2017 with standardised and replicable methods. We based the estimates on the demographic balancing equation, with inputs of fertility, mortality, population, and migration data. Fertility data came from 7817 location-years of vital registration data, 429 surveys reporting complete birth histories, and 977 surveys and censuses reporting summary birth histories. We estimated age-specific fertility rates (ASFRs; the annual number of livebirths to women of a specified age group per 1000 women in that age group) by use of spatiotemporal Gaussian process regression and used the ASFRs to estimate total fertility rates (TFRs; the average number of children a woman would bear if she survived through the end of the reproductive age span [age 10-54 years] and experienced at each age a particular set of ASFRs observed in the year of interest). Because of sparse data, fertility at ages 10-14 years and 50-54 years was estimated from data on fertility in women aged 15-19 years and 45-49 years, through use of linear regression. Age-specific mortality data came from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 estimates. Data on population came from 1257 censuses and 761 population registry location-years and were adjusted for underenumeration and age misreporting with standard demographic methods. Migration was estimated with the GBD Bayesian demographic balancing model, after incorporating information about refugee migration into the model prior. Final population estimates used the cohort-component method of population projection, with inputs of fertility, mortality, and migration data. Population uncertainty was estimated by use of out-of-sample predictive validity testing. With these data, we estimated the trends in population by age and sex and in fertility by age between 1950 and 2017 in 195 countries and territories.FindingsFrom 1950 to 2017, TFRs decreased by 49·4% (95% uncertainty interval [UI] 46·4-52·0). The TFR decreased from 4·7 livebirths (4·5-4·9) to 2·4 livebirths (2·2-2·5), and the ASFR of mothers aged 10-19 years decreased from 37 livebirths (34-40) to 22 livebirths (19-24) per 1000 women. Despite reductions in the TFR, the global population has been increasing by an average of 83·8 million people per year since 1985. The global population increased by 197·2% (193·3-200·8) since 1950, from 2·6 billion (2·5-2·6) to 7·6 billion (7·4-7·9) people in 2017; much of this increase was in the proportion of the global population in south Asia and sub-Saharan Africa. The global annual rate of population growth increased between 1950 and 1964, when it peaked at 2·0%; this rate then remained nearly constant until 1970 and then decreased to 1·1% in 2017. Population growth rates in the southeast Asia, east Asia, and Oceania GBD super-region decreased from 2·5% in 1963 to 0·7% in 2017, whereas in sub-Saharan Africa, population growth rates were almost at the highest reported levels ever in 2017, when they were at 2·7%. The global average age increased from 26·6 years in 1950 to 32·1 years in 2017, and the proportion of the population that is of working age (age 15-64 years) increased from 59·9% to 65·3%. At the national level, the TFR decreased in all countries and territories between 1950 and 2017; in 2017, TFRs ranged from a low of 1·0 livebirths (95% UI 0·9-1·2) in Cyprus to a high of 7·1 livebirths (6·8-7·4) in Niger. The TFR under age 25 years (TFU25; number of livebirths expected by age 25 years for a hypothetical woman who survived the age group and was exposed to current ASFRs) in 2017 ranged from 0·08 livebirths (0·07-0·09) in South Korea to 2·4 livebirths (2·2-2·6) in Niger, and the TFR over age 30 years (TFO30; number of livebirths expected for a hypothetical woman ageing from 30 to 54 years who survived the age group and was exposed to current ASFRs) ranged from a low of 0·3 livebirths (0·3-0·4) in Puerto Rico to a high of 3·1 livebirths (3·0-3·2) in Niger. TFO30 was higher than TFU25 in 145 countries and territories in 2017. 33 countries had a negative population growth rate from 2010 to 2017, most of which were located in central, eastern, and western Europe, whereas population growth rates of more than 2·0% were seen in 33 of 46 countries in sub-Saharan Africa. In 2017, less than 65% of the national population was of working age in 12 of 34 high-income countries, and less than 50% of the national population was of working age in Mali, Chad, and Niger.InterpretationPopulation trends create demographic dividends and headwinds (ie, economic benefits and detriments) that affect national economies and determine national planning needs. Although TFRs are decreasing, the global population continues to grow as mortality declines, with diverse patterns at the national level and across age groups. To our knowledge, this is the first study to provide transparent and replicable estimates of population and fertility, which can be used to inform decision making and to monitor progress.FundingBill & Melinda Gates Foundation.

Published
2018

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

Author

Collaborators, GBD 2017 Causes of Death, Roth, Gregory A, Abate, Degu, Abate, Kalkidan Hassen, Abay, Solomon M, Abbafati, Cristiana, Abbasi, Nooshin, Abbastabar, Hedayat, Abd-Allah, Foad, Abdela, Jemal, Abdelalim, Ahmed, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abebe, Haftom Temesgen, Abebe, Molla, Abebe, Zegeye, Abejie, Ayenew Negesse, Abera, Semaw F, Abil, Olifan Zewdie, Abraha, Haftom Niguse, Abrham, Aklilu Roba, Abu-Raddad, Laith Jamal, Accrombessi, Manfred Mario Kokou, Acharya, Dilaram, Adamu, Abdu A, Adebayo, Oladimeji M, Adedoyin, Rufus Adesoji, Adekanmbi, Victor, Adetokunboh, Olatunji O, Adhena, Beyene Meressa, Adib, Mina G, Admasie, Amha, Afshin, Ashkan, Agarwal, Gina, Agesa, Kareha M, Agrawal, Anurag, Agrawal, Sutapa, Ahmadi, Alireza, Ahmadi, Mehdi, Ahmed, Muktar Beshir, Ahmed, Sayem, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Akbari, Mohammad Esmaeil, Akinyemi, Rufus Olusola, Akseer, Nadia, Al-Aly, Ziyad, Al-Eyadhy, Ayman, Al-Raddadi, Rajaa M, Alahdab, Fares, Alam, Khurshid, Alam, Tahiya, Alebel, Animut, Alene, Kefyalew Addis, Alijanzadeh, Mehran, Alizadeh-Navaei, Reza, Aljunid, Syed Mohamed, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Alonso, Jordi, Altirkawi, Khalid, Alvis-Guzman, Nelson, Amare, Azmeraw T, Aminde, Leopold N, Amini, Erfan, Ammar, Walid, Amoako, Yaw Ampem, Anber, Nahla Hamed, Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Anjomshoa, Mina, Ansari, Hossein, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, Anwari, Palwasha, Aremu, Olatunde, Ärnlöv, Johan, Arora, Amit, Arora, Monika, Artaman, Al, Aryal, Krishna K, Asayesh, Hamid, Asfaw, Ephrem Tsegay, Ataro, Zerihun, Atique, Suleman, Atre, Sachin R, Ausloos, Marcel, Avokpaho, Euripide FGA, Awasthi, Ashish, Quintanilla, Beatriz Paulina Ayala, Ayele, Yohanes, Ayer, Rakesh, Azzopardi, Peter S, Babazadeh, Arefeh, Bacha, Umar, Badali, Hamid, and Badawi, Alaa

Subjects
Brain Disorders, Pediatric, Prevention, Aetiology, 2.4 Surveillance and distribution, Infection, Good Health and Well Being, Adolescent, Adult, Age Distribution, Aged, Aged, 80 and over, Cause of Death, Child, Child, Preschool, Female, Global Burden of Disease, Global Health, Humans, Infant, Infant, Newborn, Life Expectancy, Male, Middle Aged, Sex Distribution, Socioeconomic Factors, Young Adult, GBD 2017 Causes of Death Collaborators, Medical and Health Sciences, General & Internal Medicine
Abstract

BackgroundGlobal development goals increasingly rely on country-specific estimates for benchmarking a nation's progress. To meet this need, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2016 estimated global, regional, national, and, for selected locations, subnational cause-specific mortality beginning in the year 1980. Here we report an update to that study, making use of newly available data and improved methods. GBD 2017 provides a comprehensive assessment of cause-specific mortality for 282 causes in 195 countries and territories from 1980 to 2017.MethodsThe causes of death database is composed of vital registration (VR), verbal autopsy (VA), registry, survey, police, and surveillance data. GBD 2017 added ten VA studies, 127 country-years of VR data, 502 cancer-registry country-years, and an additional surveillance country-year. Expansions of the GBD cause of death hierarchy resulted in 18 additional causes estimated for GBD 2017. Newly available data led to subnational estimates for five additional countries-Ethiopia, Iran, New Zealand, Norway, and Russia. Deaths assigned International Classification of Diseases (ICD) codes for non-specific, implausible, or intermediate causes of death were reassigned to underlying causes by redistribution algorithms that were incorporated into uncertainty estimation. We used statistical modelling tools developed for GBD, including the Cause of Death Ensemble model (CODEm), to generate cause fractions and cause-specific death rates for each location, year, age, and sex. Instead of using UN estimates as in previous versions, GBD 2017 independently estimated population size and fertility rate for all locations. Years of life lost (YLLs) were then calculated as the sum of each death multiplied by the standard life expectancy at each age. All rates reported here are age-standardised.FindingsAt the broadest grouping of causes of death (Level 1), non-communicable diseases (NCDs) comprised the greatest fraction of deaths, contributing to 73·4% (95% uncertainty interval [UI] 72·5-74·1) of total deaths in 2017, while communicable, maternal, neonatal, and nutritional (CMNN) causes accounted for 18·6% (17·9-19·6), and injuries 8·0% (7·7-8·2). Total numbers of deaths from NCD causes increased from 2007 to 2017 by 22·7% (21·5-23·9), representing an additional 7·61 million (7·20-8·01) deaths estimated in 2017 versus 2007. The death rate from NCDs decreased globally by 7·9% (7·0-8·8). The number of deaths for CMNN causes decreased by 22·2% (20·0-24·0) and the death rate by 31·8% (30·1-33·3). Total deaths from injuries increased by 2·3% (0·5-4·0) between 2007 and 2017, and the death rate from injuries decreased by 13·7% (12·2-15·1) to 57·9 deaths (55·9-59·2) per 100 000 in 2017. Deaths from substance use disorders also increased, rising from 284 000 deaths (268 000-289 000) globally in 2007 to 352 000 (334 000-363 000) in 2017. Between 2007 and 2017, total deaths from conflict and terrorism increased by 118·0% (88·8-148·6). A greater reduction in total deaths and death rates was observed for some CMNN causes among children younger than 5 years than for older adults, such as a 36·4% (32·2-40·6) reduction in deaths from lower respiratory infections for children younger than 5 years compared with a 33·6% (31·2-36·1) increase in adults older than 70 years. Globally, the number of deaths was greater for men than for women at most ages in 2017, except at ages older than 85 years. Trends in global YLLs reflect an epidemiological transition, with decreases in total YLLs from enteric infections, respiratory infections and tuberculosis, and maternal and neonatal disorders between 1990 and 2017; these were generally greater in magnitude at the lowest levels of the Socio-demographic Index (SDI). At the same time, there were large increases in YLLs from neoplasms and cardiovascular diseases. YLL rates decreased across the five leading Level 2 causes in all SDI quintiles. The leading causes of YLLs in 1990-neonatal disorders, lower respiratory infections, and diarrhoeal diseases-were ranked second, fourth, and fifth, in 2017. Meanwhile, estimated YLLs increased for ischaemic heart disease (ranked first in 2017) and stroke (ranked third), even though YLL rates decreased. Population growth contributed to increased total deaths across the 20 leading Level 2 causes of mortality between 2007 and 2017. Decreases in the cause-specific mortality rate reduced the effect of population growth for all but three causes: substance use disorders, neurological disorders, and skin and subcutaneous diseases.InterpretationImprovements in global health have been unevenly distributed among populations. Deaths due to injuries, substance use disorders, armed conflict and terrorism, neoplasms, and cardiovascular disease are expanding threats to global health. For causes of death such as lower respiratory and enteric infections, more rapid progress occurred for children than for the oldest adults, and there is continuing disparity in mortality rates by sex across age groups. Reductions in the death rate of some common diseases are themselves slowing or have ceased, primarily for NCDs, and the death rate for selected causes has increased in the past decade.FundingBill & Melinda Gates Foundation.

Published
2018

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

Author

James, Spencer L, Abate, Degu, Abate, Kalkidan Hassen, Abay, Solomon M, Abbafati, Cristiana, Abbasi, Nooshin, Abbastabar, Hedayat, Abd-Allah, Foad, Abdela, Jemal, Abdelalim, Ahmed, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abebe, Zegeye, Abera, Semaw F, Abil, Olifan Zewdie, Abraha, Haftom Niguse, Abu-Raddad, Laith Jamal, Abu-Rmeileh, Niveen ME, Accrombessi, Manfred Mario Kokou, Acharya, Dilaram, Acharya, Pawan, Ackerman, Ilana N, Adamu, Abdu A, Adebayo, Oladimeji M, Adekanmbi, Victor, Adetokunboh, Olatunji O, Adib, Mina G, Adsuar, Jose C, Afanvi, Kossivi Agbelenko, Afarideh, Mohsen, Afshin, Ashkan, Agarwal, Gina, Agesa, Kareha M, Aggarwal, Rakesh, Aghayan, Sargis Aghasi, Agrawal, Sutapa, Ahmadi, Alireza, Ahmadi, Mehdi, Ahmadieh, Hamid, Ahmed, Muktar Beshir, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Akinyemiju, Tomi, Akseer, Nadia, Al-Aly, Ziyad, Al-Eyadhy, Ayman, Al-Mekhlafi, Hesham M, Al-Raddadi, Rajaa M, Alahdab, Fares, Alam, Khurshid, Alam, Tahiya, Alashi, Alaa, Alavian, Seyed Moayed, Alene, Kefyalew Addis, Alijanzadeh, Mehran, Alizadeh-Navaei, Reza, Aljunid, Syed Mohamed, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Alouani, Mohamed ML, Altirkawi, Khalid, Alvis-Guzman, Nelson, Amare, Azmeraw T, Aminde, Leopold N, Ammar, Walid, Amoako, Yaw Ampem, Anber, Nahla Hamed, Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Anjomshoa, Mina, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, Anwari, Palwasha, Arabloo, Jalal, Arauz, Antonio, Aremu, Olatunde, Ariani, Filippo, Armoon, Bahroom, Ärnlöv, Johan, Arora, Amit, Artaman, Al, Aryal, Krishna K, Asayesh, Hamid, Asghar, Rana Jawad, Ataro, Zerihun, Atre, Sachin R, Ausloos, Marcel, Avila-Burgos, Leticia, Avokpaho, Euripide FGA, Awasthi, Ashish, Ayala Quintanilla, Beatriz Paulina, Ayer, Rakesh, Azzopardi, Peter S, Babazadeh, Arefeh, Badali, Hamid, Badawi, Alaa, and Bali, Ayele Geleto

Subjects
Prevention, 2.4 Surveillance and distribution, Aetiology, Good Health and Well Being, Adolescent, Adult, Age Distribution, Aged, Aged, 80 and over, Child, Child, Preschool, Disabled Persons, Female, Global Burden of Disease, Global Health, Humans, Incidence, Infant, Infant, Newborn, Life Expectancy, Male, Middle Aged, Morbidity, Prevalence, Sex Distribution, Socioeconomic Factors, Wounds and Injuries, Young Adult, GBD 2017 Disease and Injury Incidence and Prevalence Collaborators, Medical and Health Sciences, General & Internal Medicine
Abstract

BackgroundThe Global Burden of Diseases, Injuries, and Risk Factors Study 2017 (GBD 2017) includes a comprehensive assessment of incidence, prevalence, and years lived with disability (YLDs) for 354 causes in 195 countries and territories from 1990 to 2017. Previous GBD studies have shown how the decline of mortality rates from 1990 to 2016 has led to an increase in life expectancy, an ageing global population, and an expansion of the non-fatal burden of disease and injury. These studies have also shown how a substantial portion of the world's population experiences non-fatal health loss with considerable heterogeneity among different causes, locations, ages, and sexes. Ongoing objectives of the GBD study include increasing the level of estimation detail, improving analytical strategies, and increasing the amount of high-quality data.MethodsWe estimated incidence and prevalence for 354 diseases and injuries and 3484 sequelae. We used an updated and extensive body of literature studies, survey data, surveillance data, inpatient admission records, outpatient visit records, and health insurance claims, and additionally used results from cause of death models to inform estimates using a total of 68 781 data sources. Newly available clinical data from India, Iran, Japan, Jordan, Nepal, China, Brazil, Norway, and Italy were incorporated, as well as updated claims data from the USA and new claims data from Taiwan (province of China) and Singapore. We used DisMod-MR 2.1, a Bayesian meta-regression tool, as the main method of estimation, ensuring consistency between rates of incidence, prevalence, remission, and cause of death for each condition. YLDs were estimated as the product of a prevalence estimate and a disability weight for health states of each mutually exclusive sequela, adjusted for comorbidity. We updated the Socio-demographic Index (SDI), a summary development indicator of income per capita, years of schooling, and total fertility rate. Additionally, we calculated differences between male and female YLDs to identify divergent trends across sexes. GBD 2017 complies with the Guidelines for Accurate and Transparent Health Estimates Reporting.FindingsGlobally, for females, the causes with the greatest age-standardised prevalence were oral disorders, headache disorders, and haemoglobinopathies and haemolytic anaemias in both 1990 and 2017. For males, the causes with the greatest age-standardised prevalence were oral disorders, headache disorders, and tuberculosis including latent tuberculosis infection in both 1990 and 2017. In terms of YLDs, low back pain, headache disorders, and dietary iron deficiency were the leading Level 3 causes of YLD counts in 1990, whereas low back pain, headache disorders, and depressive disorders were the leading causes in 2017 for both sexes combined. All-cause age-standardised YLD rates decreased by 3·9% (95% uncertainty interval [UI] 3·1-4·6) from 1990 to 2017; however, the all-age YLD rate increased by 7·2% (6·0-8·4) while the total sum of global YLDs increased from 562 million (421-723) to 853 million (642-1100). The increases for males and females were similar, with increases in all-age YLD rates of 7·9% (6·6-9·2) for males and 6·5% (5·4-7·7) for females. We found significant differences between males and females in terms of age-standardised prevalence estimates for multiple causes. The causes with the greatest relative differences between sexes in 2017 included substance use disorders (3018 cases [95% UI 2782-3252] per 100 000 in males vs s1400 [1279-1524] per 100 000 in females), transport injuries (3322 [3082-3583] vs 2336 [2154-2535]), and self-harm and interpersonal violence (3265 [2943-3630] vs 5643 [5057-6302]).InterpretationGlobal all-cause age-standardised YLD rates have improved only slightly over a period spanning nearly three decades. However, the magnitude of the non-fatal disease burden has expanded globally, with increasing numbers of people who have a wide spectrum of conditions. A subset of conditions has remained globally pervasive since 1990, whereas other conditions have displayed more dynamic trends, with different ages, sexes, and geographies across the globe experiencing varying burdens and trends of health loss. This study emphasises how global improvements in premature mortality for select conditions have led to older populations with complex and potentially expensive diseases, yet also highlights global achievements in certain domains of disease and injury.FundingBill & Melinda Gates Foundation.

Published
2018

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

Author

Collaborators, GBD 2017 SDG, Lozano, Rafael, Fullman, Nancy, Abate, Degu, Abay, Solomon M, Abbafati, Cristiana, Abbasi, Nooshin, Abbastabar, Hedayat, Abd-Allah, Foad, Abdela, Jemal, Abdelalim, Ahmed, Abdel-Rahman, Omar, Abdi, Alireza, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abebe, Nebiyu Dereje, Abebe, Zegeye, Abejie, Ayenew Negesse, Abera, Semaw F, Abil, Olifan Zewdie, Aboyans, Victor, Abraha, Haftom Niguse, Abrham, Aklilu Roba, Abu-Raddad, Laith Jamal, Abu-Rmeileh, Niveen Me, Abyu, Gebre Y, Accrombessi, Manfred Mario Kokou, Acharya, Dilaram, Acharya, Pawan, Adamu, Abdu A, Adebayo, Oladimeji M, Adedeji, Isaac Akinkunmi, Adedoyin, Rufus Adesoji, Adekanmbi, Victor, Adetokunboh, Olatunji O, Adhena, Beyene Meressa, Adhikari, Tara Ballav, Adib, Mina G, Adou, Arsène Kouablan, Adsuar, Jose C, Afarideh, Mohsen, Afshari, Afshin, Ashkan, Agarwal, Gina, Aghayan, Sargis Aghasi, Agius, Dominic, Agrawal, Anurag, Agrawal, Sutapa, Ahmadi, Alireza, Ahmadi, Mehdi, Ahmadieh, Hamid, Ahmed, Muktar Beshir, Ahmed, Sayem, Akalu, Temesgen Yihunie, Akanda, Ali S, Akbari, Mohammad Esmaeil, Akibu, Mohammed, Akinyemi, Rufus Olusola, Akinyemiju, Tomi, Akseer, Nadia, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alam, Tahiya, Albujeer, Ammar, Alebel, Animut, Alene, Kefyalew Addis, Al-Eyadhy, Ayman, Alhabib, Samia, Ali, Raghib, Alijanzadeh, Mehran, Alizadeh-Navaei, Reza, Aljunid, Syed Mohamed, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Allen, Christine A, Almasi, Ali, Al-Maskari, Fatma, Al-Mekhlafi, Hesham M, Alonso, Jordi, Al-Raddadi, Rajaa M, Alsharif, Ubai, Altirkawi, Khalid, Alvis-Guzman, Nelson, Amare, Azmeraw T, Amenu, Kebede, Amini, Erfan, Ammar, Walid, Anber, Nahla Hamed, Anderson, Jason A, Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Anjomshoa, Mina, Ansari, Hossein, Ansariadi, Ansariadi, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, and Anwari, Palwasha

Subjects
Prevention, Pediatric, Good Health and Well Being, Peace, Justice and Strong Institutions, Female, Global Burden of Disease, Global Health, Goals, Health Status, Health Status Indicators, Humans, Male, Mortality, Risk Factors, Sex Offenses, Sustainable Development, United Nations, GBD 2017 SDG Collaborators, Medical and Health Sciences, General & Internal Medicine
Abstract

BackgroundEfforts to establish the 2015 baseline and monitor early implementation of the UN Sustainable Development Goals (SDGs) highlight both great potential for and threats to improving health by 2030. To fully deliver on the SDG aim of "leaving no one behind", it is increasingly important to examine the health-related SDGs beyond national-level estimates. As part of the Global Burden of Diseases, Injuries, and Risk Factors Study 2017 (GBD 2017), we measured progress on 41 of 52 health-related SDG indicators and estimated the health-related SDG index for 195 countries and territories for the period 1990-2017, projected indicators to 2030, and analysed global attainment.MethodsWe measured progress on 41 health-related SDG indicators from 1990 to 2017, an increase of four indicators since GBD 2016 (new indicators were health worker density, sexual violence by non-intimate partners, population census status, and prevalence of physical and sexual violence [reported separately]). We also improved the measurement of several previously reported indicators. We constructed national-level estimates and, for a subset of health-related SDGs, examined indicator-level differences by sex and Socio-demographic Index (SDI) quintile. We also did subnational assessments of performance for selected countries. To construct the health-related SDG index, we transformed the value for each indicator on a scale of 0-100, with 0 as the 2·5th percentile and 100 as the 97·5th percentile of 1000 draws calculated from 1990 to 2030, and took the geometric mean of the scaled indicators by target. To generate projections through 2030, we used a forecasting framework that drew estimates from the broader GBD study and used weighted averages of indicator-specific and country-specific annualised rates of change from 1990 to 2017 to inform future estimates. We assessed attainment of indicators with defined targets in two ways: first, using mean values projected for 2030, and then using the probability of attainment in 2030 calculated from 1000 draws. We also did a global attainment analysis of the feasibility of attaining SDG targets on the basis of past trends. Using 2015 global averages of indicators with defined SDG targets, we calculated the global annualised rates of change required from 2015 to 2030 to meet these targets, and then identified in what percentiles the required global annualised rates of change fell in the distribution of country-level rates of change from 1990 to 2015. We took the mean of these global percentile values across indicators and applied the past rate of change at this mean global percentile to all health-related SDG indicators, irrespective of target definition, to estimate the equivalent 2030 global average value and percentage change from 2015 to 2030 for each indicator.FindingsThe global median health-related SDG index in 2017 was 59·4 (IQR 35·4-67·3), ranging from a low of 11·6 (95% uncertainty interval 9·6-14·0) to a high of 84·9 (83·1-86·7). SDG index values in countries assessed at the subnational level varied substantially, particularly in China and India, although scores in Japan and the UK were more homogeneous. Indicators also varied by SDI quintile and sex, with males having worse outcomes than females for non-communicable disease (NCD) mortality, alcohol use, and smoking, among others. Most countries were projected to have a higher health-related SDG index in 2030 than in 2017, while country-level probabilities of attainment by 2030 varied widely by indicator. Under-5 mortality, neonatal mortality, maternal mortality ratio, and malaria indicators had the most countries with at least 95% probability of target attainment. Other indicators, including NCD mortality and suicide mortality, had no countries projected to meet corresponding SDG targets on the basis of projected mean values for 2030 but showed some probability of attainment by 2030. For some indicators, including child malnutrition, several infectious diseases, and most violence measures, the annualised rates of change required to meet SDG targets far exceeded the pace of progress achieved by any country in the recent past. We found that applying the mean global annualised rate of change to indicators without defined targets would equate to about 19% and 22% reductions in global smoking and alcohol consumption, respectively; a 47% decline in adolescent birth rates; and a more than 85% increase in health worker density per 1000 population by 2030.InterpretationThe GBD study offers a unique, robust platform for monitoring the health-related SDGs across demographic and geographic dimensions. Our findings underscore the importance of increased collection and analysis of disaggregated data and highlight where more deliberate design or targeting of interventions could accelerate progress in attaining the SDGs. Current projections show that many health-related SDG indicators, NCDs, NCD-related risks, and violence-related indicators will require a concerted shift away from what might have driven past gains-curative interventions in the case of NCDs-towards multisectoral, prevention-oriented policy action and investments to achieve SDG aims. Notably, several targets, if they are to be met by 2030, demand a pace of progress that no country has achieved in the recent past. The future is fundamentally uncertain, and no model can fully predict what breakthroughs or events might alter the course of the SDGs. What is clear is that our actions-or inaction-today will ultimately dictate how close the world, collectively, can get to leaving no one behind by 2030.FundingBill & Melinda Gates Foundation.

Published
2018

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

Author

Collaborators, GBD 2017 Risk Factor, Stanaway, Jeffrey D, Afshin, Ashkan, Gakidou, Emmanuela, Lim, Stephen S, Abate, Degu, Abate, Kalkidan Hassen, Abbafati, Cristiana, Abbasi, Nooshin, Abbastabar, Hedayat, Abd-Allah, Foad, Abdela, Jemal, Abdelalim, Ahmed, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abebe, Molla, Abebe, Zegeye, Abera, Semaw F, Abil, Olifan Zewdie, Abraha, Haftom Niguse, Abrham, Aklilu Roba, Abu-Raddad, Laith Jamal, Abu-Rmeileh, Niveen ME, Accrombessi, Manfred Mario Kokou, Acharya, Dilaram, Acharya, Pawan, Adamu, Abdu A, Adane, Akilew Awoke, Adebayo, Oladimeji M, Adedoyin, Rufus Adesoji, Adekanmbi, Victor, Ademi, Zanfina, Adetokunboh, Olatunji O, Adib, Mina G, Admasie, Amha, Adsuar, Jose C, Afanvi, Kossivi Agbelenko, Afarideh, Mohsen, Agarwal, Gina, Aggarwal, Anju, Aghayan, Sargis Aghasi, Agrawal, Anurag, Agrawal, Sutapa, Ahmadi, Alireza, Ahmadi, Mehdi, Ahmadieh, Hamid, Ahmed, Muktar Beshir, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Akbari, Mohammad Esmaeil, Akinyemiju, Tomi, Akseer, Nadia, Al-Aly, Ziyad, Al-Eyadhy, Ayman, Al-Mekhlafi, Hesham M, Alahdab, Fares, Alam, Khurshid, Alam, Samiah, Alam, Tahiya, Alashi, Alaa, Alavian, Seyed Moayed, Alene, Kefyalew Addis, Ali, Komal, Ali, Syed Mustafa, Alijanzadeh, Mehran, Alizadeh-Navaei, Reza, Aljunid, Syed Mohamed, Alkerwi, Ala'a, Alla, François, Alsharif, Ubai, Altirkawi, Khalid, Alvis-Guzman, Nelson, Amare, Azmeraw T, Ammar, Walid, Anber, Nahla Hamed, Anderson, Jason A, Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Anjomshoa, Mina, Ansha, Mustafa Geleto, Antó, Josep M, Antonio, Carl Abelardo T, Anwari, Palwasha, Appiah, Lambert Tetteh, Appiah, Seth Christopher Yaw, Arabloo, Jalal, Aremu, Olatunde, Ärnlöv, Johan, Artaman, Al, Aryal, Krishna K, Asayesh, Hamid, Ataro, Zerihun, Ausloos, Marcel, Avokpaho, Euripide FGA, Awasthi, Ashish, Quintanilla, Beatriz Paulina Ayala, Ayer, Rakesh, and Ayuk, Tambe B

Subjects
Prevention, Aetiology, 2.2 Factors relating to the physical environment, Good Health and Well Being, Adolescent, Adult, Age Distribution, Aged, Aged, 80 and over, Child, Child, Preschool, Disabled Persons, Environmental Exposure, Female, Global Burden of Disease, Global Health, Health Risk Behaviors, Humans, Infant, Infant, Newborn, Life Expectancy, Male, Metabolic Diseases, Middle Aged, Occupational Diseases, Occupational Exposure, Quality-Adjusted Life Years, Risk Assessment, Sex Distribution, Socioeconomic Factors, Young Adult, GBD 2017 Risk Factor Collaborators, Medical and Health Sciences, General & Internal Medicine
Abstract

BackgroundThe Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 comparative risk assessment (CRA) is a comprehensive approach to risk factor quantification that offers a useful tool for synthesising evidence on risks and risk-outcome associations. With each annual GBD study, we update the GBD CRA to incorporate improved methods, new risks and risk-outcome pairs, and new data on risk exposure levels and risk-outcome associations.MethodsWe used the CRA framework developed for previous iterations of GBD to estimate levels and trends in exposure, attributable deaths, and attributable disability-adjusted life-years (DALYs), by age group, sex, year, and location for 84 behavioural, environmental and occupational, and metabolic risks or groups of risks from 1990 to 2017. This study included 476 risk-outcome pairs that met the GBD study criteria for convincing or probable evidence of causation. We extracted relative risk and exposure estimates from 46 749 randomised controlled trials, cohort studies, household surveys, census data, satellite data, and other sources. We used statistical models to pool data, adjust for bias, and incorporate covariates. Using the counterfactual scenario of theoretical minimum risk exposure level (TMREL), we estimated the portion of deaths and DALYs that could be attributed to a given risk. We explored the relationship between development and risk exposure by modelling the relationship between the Socio-demographic Index (SDI) and risk-weighted exposure prevalence and estimated expected levels of exposure and risk-attributable burden by SDI. Finally, we explored temporal changes in risk-attributable DALYs by decomposing those changes into six main component drivers of change as follows: (1) population growth; (2) changes in population age structures; (3) changes in exposure to environmental and occupational risks; (4) changes in exposure to behavioural risks; (5) changes in exposure to metabolic risks; and (6) changes due to all other factors, approximated as the risk-deleted death and DALY rates, where the risk-deleted rate is the rate that would be observed had we reduced the exposure levels to the TMREL for all risk factors included in GBD 2017.FindingsIn 2017, 34·1 million (95% uncertainty interval [UI] 33·3-35·0) deaths and 1·21 billion (1·14-1·28) DALYs were attributable to GBD risk factors. Globally, 61·0% (59·6-62·4) of deaths and 48·3% (46·3-50·2) of DALYs were attributed to the GBD 2017 risk factors. When ranked by risk-attributable DALYs, high systolic blood pressure (SBP) was the leading risk factor, accounting for 10·4 million (9·39-11·5) deaths and 218 million (198-237) DALYs, followed by smoking (7·10 million [6·83-7·37] deaths and 182 million [173-193] DALYs), high fasting plasma glucose (6·53 million [5·23-8·23] deaths and 171 million [144-201] DALYs), high body-mass index (BMI; 4·72 million [2·99-6·70] deaths and 148 million [98·6-202] DALYs), and short gestation for birthweight (1·43 million [1·36-1·51] deaths and 139 million [131-147] DALYs). In total, risk-attributable DALYs declined by 4·9% (3·3-6·5) between 2007 and 2017. In the absence of demographic changes (ie, population growth and ageing), changes in risk exposure and risk-deleted DALYs would have led to a 23·5% decline in DALYs during that period. Conversely, in the absence of changes in risk exposure and risk-deleted DALYs, demographic changes would have led to an 18·6% increase in DALYs during that period. The ratios of observed risk exposure levels to exposure levels expected based on SDI (O/E ratios) increased globally for unsafe drinking water and household air pollution between 1990 and 2017. This result suggests that development is occurring more rapidly than are changes in the underlying risk structure in a population. Conversely, nearly universal declines in O/E ratios for smoking and alcohol use indicate that, for a given SDI, exposure to these risks is declining. In 2017, the leading Level 4 risk factor for age-standardised DALY rates was high SBP in four super-regions: central Europe, eastern Europe, and central Asia; north Africa and Middle East; south Asia; and southeast Asia, east Asia, and Oceania. The leading risk factor in the high-income super-region was smoking, in Latin America and Caribbean was high BMI, and in sub-Saharan Africa was unsafe sex. O/E ratios for unsafe sex in sub-Saharan Africa were notably high, and those for alcohol use in north Africa and the Middle East were notably low.InterpretationBy quantifying levels and trends in exposures to risk factors and the resulting disease burden, this assessment offers insight into where past policy and programme efforts might have been successful and highlights current priorities for public health action. Decreases in behavioural, environmental, and occupational risks have largely offset the effects of population growth and ageing, in relation to trends in absolute burden. Conversely, the combination of increasing metabolic risks and population ageing will probably continue to drive the increasing trends in non-communicable diseases at the global level, which presents both a public health challenge and opportunity. We see considerable spatiotemporal heterogeneity in levels of risk exposure and risk-attributable burden. Although levels of development underlie some of this heterogeneity, O/E ratios show risks for which countries are overperforming or underperforming relative to their level of development. As such, these ratios provide a benchmarking tool to help to focus local decision making. Our findings reinforce the importance of both risk exposure monitoring and epidemiological research to assess causal connections between risks and health outcomes, and they highlight the usefulness of the GBD study in synthesising data to draw comprehensive and robust conclusions that help to inform good policy and strategic health planning.FundingBill & Melinda Gates Foundation.

Published
2018

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

Author

Collaborators, GBD 2017 Mortality, Dicker, Daniel, Nguyen, Grant, Abate, Degu, Abate, Kalkidan Hassen, Abay, Solomon M, Abbafati, Cristiana, Abbasi, Nooshin, Abbastabar, Hedayat, Abd-Allah, Foad, Abdela, Jemal, Abdelalim, Ahmed, Abdel-Rahman, Omar, Abdi, Alireza, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abdurahman, Ahmed Abdulahi, Abebe, Haftom Temesgen, Abebe, Molla, Abebe, Zegeye, Abebo, Teshome Abuka, Aboyans, Victor, Abraha, Haftom Niguse, Abrham, Aklilu Roba, Abu-Raddad, Laith Jamal, Abu-Rmeileh, Niveen ME, Accrombessi, Manfred Mario Kokou, Acharya, Pawan, Adebayo, Oladimeji M, Adedeji, Isaac Akinkunmi, Adedoyin, Rufus Adesoji, Adekanmbi, Victor, Adetokunboh, Olatunji O, Adhena, Beyene Meressa, Adhikari, Tara Ballav, Adib, Mina G, Adou, Arsène Kouablan, Adsuar, Jose C, Afarideh, Mohsen, Afshin, Ashkan, Agarwal, Gina, Aggarwal, Rakesh, Aghayan, Sargis Aghasi, Agrawal, Sutapa, Agrawal, Anurag, Ahmadi, Mehdi, Ahmadi, Alireza, Ahmadieh, Hamid, Ahmed, Mohamed Lemine Cheikh brahim, Ahmed, Sayem, Ahmed, Muktar Beshir, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Akanda, Ali S, Akbari, Mohammad Esmaeil, Akibu, Mohammed, Akinyemi, Rufus Olusola, Akinyemiju, Tomi, Akseer, Nadia, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alebel, Animut, Aleman, Alicia V, Alene, Kefyalew Addis, Al-Eyadhy, Ayman, Ali, Raghib, Alijanzadeh, Mehran, Alizadeh-Navaei, Reza, Aljunid, Syed Mohamed, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Allen, Christine A, Alonso, Jordi, Al-Raddadi, Rajaa M, Alsharif, Ubai, Altirkawi, Khalid, Alvis-Guzman, Nelson, Amare, Azmeraw T, Amini, Erfan, Ammar, Walid, Amoako, Yaw Ampem, Anber, Nahla Hamed, Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Anjomshoa, Mina, Anlay, Degefaye Zelalem, Ansari, Hossein, Ansariadi, Ansariadi, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, Appiah, Seth Christopher Yaw, Aremu, Olatunde, Areri, Habtamu Abera, Ärnlöv, Johan, Arora, Megha, and Artaman, Al

Subjects
Behavioral and Social Science, Pediatric, Prevention, Basic Behavioral and Social Science, 2.4 Surveillance and distribution, Aetiology, Good Health and Well Being, Adolescent, Adult, Age Distribution, Aged, Aged, 80 and over, Child, Child, Preschool, Female, Global Burden of Disease, Global Health, Humans, Infant, Infant, Newborn, Life Expectancy, Male, Middle Aged, Mortality, Sex Distribution, Socioeconomic Factors, Young Adult, GBD 2017 Mortality Collaborators, Medical and Health Sciences, General & Internal Medicine
Abstract

BackgroundAssessments of age-specific mortality and life expectancy have been done by the UN Population Division, Department of Economics and Social Affairs (UNPOP), the United States Census Bureau, WHO, and as part of previous iterations of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD). Previous iterations of the GBD used population estimates from UNPOP, which were not derived in a way that was internally consistent with the estimates of the numbers of deaths in the GBD. The present iteration of the GBD, GBD 2017, improves on previous assessments and provides timely estimates of the mortality experience of populations globally.MethodsThe GBD uses all available data to produce estimates of mortality rates between 1950 and 2017 for 23 age groups, both sexes, and 918 locations, including 195 countries and territories and subnational locations for 16 countries. Data used include vital registration systems, sample registration systems, household surveys (complete birth histories, summary birth histories, sibling histories), censuses (summary birth histories, household deaths), and Demographic Surveillance Sites. In total, this analysis used 8259 data sources. Estimates of the probability of death between birth and the age of 5 years and between ages 15 and 60 years are generated and then input into a model life table system to produce complete life tables for all locations and years. Fatal discontinuities and mortality due to HIV/AIDS are analysed separately and then incorporated into the estimation. We analyse the relationship between age-specific mortality and development status using the Socio-demographic Index, a composite measure based on fertility under the age of 25 years, education, and income. There are four main methodological improvements in GBD 2017 compared with GBD 2016: 622 additional data sources have been incorporated; new estimates of population, generated by the GBD study, are used; statistical methods used in different components of the analysis have been further standardised and improved; and the analysis has been extended backwards in time by two decades to start in 1950.FindingsGlobally, 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.InterpretationThis analysis of age-sex-specific mortality shows that there are remarkably complex patterns in population mortality across countries. The findings of this study highlight global successes, such as the large decline in under-5 mortality, which reflects significant local, national, and global commitment and investment over several decades. However, they also bring attention to mortality patterns that are a cause for concern, particularly among adult men and, to a lesser extent, women, whose mortality rates have stagnated in many countries over the time period of this study, and in some cases are increasing.FundingBill & Melinda Gates Foundation.

Published
2018

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

Author

Kyu, Hmwe Hmwe, Abate, Degu, Abate, Kalkidan Hassen, Abay, Solomon M, Abbafati, Cristiana, Abbasi, Nooshin, Abbastabar, Hedayat, Abd-Allah, Foad, Abdela, Jemal, Abdelalim, Ahmed, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abebe, Molla, Abebe, Zegeye, Abil, Olifan Zewdie, Aboyans, Victor, Abrham, Aklilu Roba, Abu-Raddad, Laith Jamal, Abu-Rmeileh, Niveen ME, Accrombessi, Manfred Mario Kokou, Acharya, Dilaram, Acharya, Pawan, Ackerman, Ilana N, Adamu, Abdu A, Adebayo, Oladimeji M, Adekanmbi, Victor, Ademi, Zanfina, Adetokunboh, Olatunji O, Adib, Mina G, Adsuar, Jose C, Afanvi, Kossivi Agbelenko, Afarideh, Mohsen, Afshin, Ashkan, Agarwal, Gina, Agesa, Kareha M, Aggarwal, Rakesh, Aghayan, Sargis Aghasi, Agrawal, Anurag, Ahmadi, Alireza, Ahmadi, Mehdi, Ahmadieh, Hamid, Ahmed, Muktar Beshir, Ahmed, Sayem, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Akinyemiju, Tomi, Akseer, Nadia, Al-Aly, Ziyad, Al-Eyadhy, Ayman, Al-Mekhlafi, Hesham M, Al-Raddadi, Rajaa M, Alahdab, Fares, Alam, Khurshid, Alam, Tahiya, Alashi, Alaa, Alavian, Seyed Moayed, Alene, Kefyalew Addis, Alijanzadeh, Mehran, Alizadeh-Navaei, Reza, Aljunid, Syed Mohamed, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Alonso, Jordi, Alsharif, Ubai, Altirkawi, Khalid, Alvis-Guzman, Nelson, Aminde, Leopold N, Amini, Erfan, Amiresmaili, Mohammadreza, Ammar, Walid, Amoako, Yaw Ampem, Anber, Nahla Hamed, Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Anjomshoa, Mina, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, Anwari, Palwasha, Arabloo, Jalal, Aremu, Olatunde, Ärnlöv, Johan, Arora, Amit, Arora, Megha, Artaman, Al, Aryal, Krishna K, Asayesh, Hamid, Ataro, Zerihun, Ausloos, Marcel, Avila-Burgos, Leticia, Avokpaho, Euripide FGA, Awasthi, Ashish, Ayala Quintanilla, Beatriz Paulina, Ayer, Rakesh, Azzopardi, Peter S, Babazadeh, Arefeh, Badali, Hamid, and Balakrishnan, Kalpana

Subjects
Prevention, Aging, Good Health and Well Being, Aged, Communicable Diseases, Disabled Persons, Female, Global Burden of Disease, Health Status, Healthy Lifestyle, Humans, Life Expectancy, Male, Mortality, Mortality, Premature, Prevalence, Quality-Adjusted Life Years, Risk Factors, Socioeconomic Factors, Wounds and Injuries, GBD 2017 DALYs and HALE Collaborators, Medical and Health Sciences, General & Internal Medicine
Abstract

BackgroundHow 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.MethodsWe 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 Socio-demographic 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.FindingsGlobally, 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 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).InterpretationWith 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.FundingBill & Melinda Gates Foundation.

Published
2018

29. Evaluation of IFNAR2 and TYK2 transcripts’ prognostic role in COVID-19 patients: a retrospective study

Author

Razavi, Alireza, primary, Raei, Maedeh, additional, Hatami, Yasin, additional, Chokami, Ghazal Saghi, additional, Goudarzi, Yasaman, additional, Ghasemian, Roya, additional, Alizadeh-Navaei, Reza, additional, Yarmohammadi, Hossein, additional, Soltanipur, Masood, additional, Tabarestani, Mohammad, additional, Valadan, Reza, additional, Meshkinfam Haghighi, Faranak, additional, Tarsi, Abbas Khonakdar, additional, and Razavi, Bahar, additional

Published
2024
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31. Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016

Author

Collaborators, GBD 2016 Risk Factors, Gakidou, Emmanuela, Afshin, Ashkan, Abajobir, Amanuel Alemu, Abate, Kalkidan Hassen, Abbafati, Cristiana, Abbas, Kaja M, Abd-Allah, Foad, Abdulle, Abdishakur M, Abera, Semaw Ferede, Aboyans, Victor, Abu-Raddad, Laith J, Abu-Rmeileh, Niveen ME, Abyu, Gebre Yitayih, Adedeji, Isaac Akinkunmi, Adetokunboh, Olatunji, Afarideh, Mohsen, Agrawal, Anurag, Agrawal, Sutapa, Ahmadieh, Hamid, Ahmed, Muktar Beshir, Aichour, Miloud Taki Eddine, Aichour, Amani Nidhal, Aichour, Ibtihel, Akinyemi, Rufus Olusola, Akseer, Nadia, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alam, Noore, Alam, Tahiya, Alasfoor, Deena, Alene, Kefyalew Addis, Ali, Komal, Alizadeh-Navaei, Reza, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Al-Raddadi, Rajaa, Alsharif, Ubai, Altirkawi, Khalid A, Alvis-Guzman, Nelson, Amare, Azmeraw T, Amini, Erfan, Ammar, Walid, Amoako, Yaw Ampem, Ansari, Hossein, Antó, Josep M, Antonio, Carl Abelardo T, Anwari, Palwasha, Arian, Nicholas, Ärnlöv, Johan, Artaman, Al, Aryal, Krishna Kumar, Asayesh, Hamid, Asgedom, Solomon Weldegebreal, Atey, Tesfay Mehari, Avila-Burgos, Leticia, Avokpaho, Euripide Frinel G Arthur, Awasthi, Ashish, Azzopardi, Peter, Bacha, Umar, Badawi, Alaa, Balakrishnan, Kalpana, Ballew, Shoshana H, Barac, Aleksandra, Barber, Ryan M, Barker-Collo, Suzanne L, Bärnighausen, Till, Barquera, Simon, Barregard, Lars, Barrero, Lope H, Batis, Carolina, Battle, Katherine E, Baumgarner, Blair R, Baune, Bernhard T, Beardsley, Justin, Bedi, Neeraj, Beghi, Ettore, Bell, Michelle L, Bennett, Derrick A, Bennett, James R, Bensenor, Isabela M, Berhane, Adugnaw, Berhe, Derbew Fikadu, Bernabé, Eduardo, Betsu, Balem Demtsu, Beuran, Mircea, Beyene, Addisu Shunu, Bhansali, Anil, Bhutta, Zulfiqar A, Bicer, Burcu Kucuk, Bikbov, Boris, Birungi, Charles, Biryukov, Stan, Blosser, Christopher D, Boneya, Dube Jara, Bou-Orm, Ibrahim R, Brauer, Michael, and Breitborde, Nicholas JK

Subjects
Epidemiology, Health Sciences, Prevention, Aetiology, 2.2 Factors relating to the physical environment, Good Health and Well Being, Adolescent, Adult, Aged, Aged, 80 and over, Air Pollution, Body Mass Index, Cause of Death, Child, Child, Preschool, Communicable Diseases, Disabled Persons, Environmental Health, Female, Global Burden of Disease, Humans, Infant, Infant, Newborn, Life Expectancy, Male, Metabolic Diseases, Middle Aged, Noncommunicable Diseases, Occupational Diseases, Quality-Adjusted Life Years, Risk Assessment, Sex Distribution, Smoking, Water Supply, Young Adult, GBD 2016 Risk Factors Collaborators, Medical and Health Sciences, General & Internal Medicine, Biomedical and clinical sciences, Health sciences
Abstract

BackgroundThe Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) provides a comprehensive assessment of risk factor exposure and attributable burden of disease. By providing estimates over a long time series, this study can monitor risk exposure trends critical to health surveillance and inform policy debates on the importance of addressing risks in context.MethodsWe used the comparative risk assessment framework developed for previous iterations of GBD to estimate levels and trends in exposure, attributable deaths, and attributable disability-adjusted life-years (DALYs), by age group, sex, year, and location for 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks from 1990 to 2016. This study included 481 risk-outcome pairs that met the GBD study criteria for convincing or probable evidence of causation. We extracted relative risk (RR) and exposure estimates from 22 717 randomised controlled trials, cohorts, pooled cohorts, household surveys, census data, satellite data, and other sources, according to the GBD 2016 source counting methods. Using the counterfactual scenario of theoretical minimum risk exposure level (TMREL), we estimated the portion of deaths and DALYs that could be attributed to a given risk. Finally, we explored four drivers of trends in attributable burden: population growth, population ageing, trends in risk exposure, and all other factors combined.FindingsSince 1990, exposure increased significantly for 30 risks, did not change significantly for four risks, and decreased significantly for 31 risks. Among risks that are leading causes of burden of disease, child growth failure and household air pollution showed the most significant declines, while metabolic risks, such as body-mass index and high fasting plasma glucose, showed significant increases. In 2016, at Level 3 of the hierarchy, the three leading risk factors in terms of attributable DALYs at the global level for men were smoking (124·1 million DALYs [95% UI 111·2 million to 137·0 million]), high systolic blood pressure (122·2 million DALYs [110·3 million to 133·3 million], and low birthweight and short gestation (83·0 million DALYs [78·3 million to 87·7 million]), and for women, were high systolic blood pressure (89·9 million DALYs [80·9 million to 98·2 million]), high body-mass index (64·8 million DALYs [44·4 million to 87·6 million]), and high fasting plasma glucose (63·8 million DALYs [53·2 million to 76·3 million]). In 2016 in 113 countries, the leading risk factor in terms of attributable DALYs was a metabolic risk factor. Smoking remained among the leading five risk factors for DALYs for 109 countries, while low birthweight and short gestation was the leading risk factor for DALYs in 38 countries, particularly in sub-Saharan Africa and South Asia. In terms of important drivers of change in trends of burden attributable to risk factors, between 2006 and 2016 exposure to risks explains an 9·3% (6·9-11·6) decline in deaths and a 10·8% (8·3-13·1) decrease in DALYs at the global level, while population ageing accounts for 14·9% (12·7-17·5) of deaths and 6·2% (3·9-8·7) of DALYs, and population growth for 12·4% (10·1-14·9) of deaths and 12·4% (10·1-14·9) of DALYs. The largest contribution of trends in risk exposure to disease burden is seen between ages 1 year and 4 years, where a decline of 27·3% (24·9-29·7) of the change in DALYs between 2006 and 2016 can be attributed to declines in exposure to risks.InterpretationIncreasingly detailed understanding of the trends in risk exposure and the RRs for each risk-outcome pair provide insights into both the magnitude of health loss attributable to risks and how modification of risk exposure has contributed to health trends. Metabolic risks warrant particular policy attention, due to their large contribution to global disease burden, increasing trends, and variable patterns across countries at the same level of development. GBD 2016 findings show that, while it has huge potential to improve health, risk modification has played a relatively small part in the past decade.FundingThe Bill & Melinda Gates Foundation, Bloomberg Philanthropies.

Published
2017

32. Global, regional, and national disability-adjusted life-years (DALYs) for 333 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016

Author

Collaborators, GBD 2016 DALYs and HALE, Hay, Simon I, Abajobir, Amanuel Alemu, Abate, Kalkidan Hassen, Abbafati, Cristiana, Abbas, Kaja M, Abd-Allah, Foad, Abdulkader, Rizwan Suliankatchi, Abdulle, Abdishakur M, Abebo, Teshome Abuka, Abera, Semaw Ferede, Aboyans, Victor, Abu-Raddad, Laith J, Ackerman, Ilana N, Adedeji, Isaac A, Adetokunboh, Olatunji, Afshin, Ashkan, Aggarwal, Rakesh, Agrawal, Sutapa, Agrawal, Anurag, Ahmed, Muktar Beshir, Aichour, Miloud Taki Eddine, Aichour, Amani Nidhal, Aichour, Ibtihel, Aiyar, Sneha, Akinyemiju, Tomi F, Akseer, Nadia, Al Lami, Faris Hasan, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alam, Noore, Alam, Tahiya, Alasfoor, Deena, Alene, Kefyalew Addis, Ali, Raghib, Alizadeh-Navaei, Reza, Alkaabi, Juma M, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Allen, Christine, Al-Maskari, Fatma, AlMazroa, Mohammad AbdulAziz, Al-Raddadi, Rajaa, Alsharif, Ubai, Alsowaidi, Shirina, Althouse, Benjamin M, Altirkawi, Khalid A, Alvis-Guzman, Nelson, Amare, Azmeraw T, Amini, Erfan, Ammar, Walid, Amoako, Yaw Ampem, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, Anwari, Palwasha, Ärnlöv, Johan, Arora, Megha, Artaman, Al, Aryal, Krishna Kumar, Asgedom, Solomon W, Atey, Tesfay Mehari, Atnafu, Niguse Tadele, Avila-Burgos, Leticia, Avokpaho, Euripide Frinel G Arthur, Awasthi, Ashish, Awasthi, Shally, Azarpazhooh, Mahmoud Reza, Azzopardi, Peter, Babalola, Tesleem Kayode, Bacha, Umar, Badawi, Alaa, Balakrishnan, Kalpana, Bannick, Marlena S, Barac, Aleksandra, Barker-Collo, Suzanne L, Bärnighausen, Till, Barquera, Simon, Barrero, Lope H, Basu, Sanjay, Battista, Robert, Battle, Katherine E, Baune, Bernhard T, Bazargan-Hejazi, Shahrzad, Beardsley, Justin, Bedi, Neeraj, Béjot, Yannick, Bekele, Bayu Begashaw, Bell, Michelle L, Bennett, Derrick A, Bennett, James R, Bensenor, Isabela M, Benson, Jennifer, Berhane, Adugnaw, Berhe, Derbew Fikadu, Bernabé, Eduardo, Betsu, Balem Demtsu, Beuran, Mircea, and Beyene, Addisu Shunu

Subjects
Epidemiology, Public Health, Health Sciences, Clinical Research, Behavioral and Social Science, Burden of Illness, Prevention, Social Determinants of Health, 2.4 Surveillance and distribution, Good Health and Well Being, Adult, Age Distribution, Aged, Aged, 80 and over, Cause of Death, Communicable Diseases, Disabled Persons, Female, Global Burden of Disease, Global Health, Humans, Life Expectancy, Male, Middle Aged, Noncommunicable Diseases, Quality-Adjusted Life Years, Residence Characteristics, Sex Distribution, Wounds and Injuries, GBD 2016 DALYs and HALE Collaborators, Medical and Health Sciences, General & Internal Medicine, Biomedical and clinical sciences, Health sciences
Abstract

BackgroundMeasurement of changes in health across locations is useful to compare and contrast changing epidemiological patterns against health system performance and identify specific needs for resource allocation in research, policy development, and programme decision making. Using the Global Burden of Diseases, Injuries, and Risk Factors Study 2016, we drew from two widely used summary measures to monitor such changes in population health: disability-adjusted life-years (DALYs) and healthy life expectancy (HALE). We used these measures to track trends and benchmark progress compared with expected trends on the basis of the Socio-demographic Index (SDI).MethodsWe used results from the Global Burden of Diseases, Injuries, and Risk Factors Study 2016 for all-cause mortality, cause-specific mortality, and non-fatal disease burden to derive HALE and DALYs by sex for 195 countries and territories from 1990 to 2016. We calculated DALYs by summing years of life lost and years of life lived with disability for each location, age group, sex, and year. We estimated HALE using age-specific death rates and years of life lived with disability per capita. We explored how DALYs and HALE differed from expected trends when compared with the SDI: the geometric mean of income per person, educational attainment in the population older than age 15 years, and total fertility rate.FindingsThe highest globally observed HALE at birth for both women and men was in Singapore, at 75·2 years (95% uncertainty interval 71·9-78·6) for females and 72·0 years (68·8-75·1) for males. The lowest for females was in the Central African Republic (45·6 years [42·0-49·5]) and for males was in Lesotho (41·5 years [39·0-44·0]). From 1990 to 2016, global HALE increased by an average of 6·24 years (5·97-6·48) for both sexes combined. Global HALE increased by 6·04 years (5·74-6·27) for males and 6·49 years (6·08-6·77) for females, whereas HALE at age 65 years increased by 1·78 years (1·61-1·93) for males and 1·96 years (1·69-2·13) for females. Total global DALYs remained largely unchanged from 1990 to 2016 (-2·3% [-5·9 to 0·9]), with decreases in communicable, maternal, neonatal, and nutritional (CMNN) disease DALYs offset by increased DALYs due to non-communicable diseases (NCDs). The exemplars, calculated as the five lowest ratios of observed to expected age-standardised DALY rates in 2016, were Nicaragua, Costa Rica, the Maldives, Peru, and Israel. The leading three causes of DALYs globally were ischaemic heart disease, cerebrovascular disease, and lower respiratory infections, comprising 16·1% of all DALYs. Total DALYs and age-standardised DALY rates due to most CMNN causes decreased from 1990 to 2016. Conversely, the total DALY burden rose for most NCDs; however, age-standardised DALY rates due to NCDs declined globally.InterpretationAt a global level, DALYs and HALE continue to show improvements. At the same time, we observe that many populations are facing growing functional health loss. Rising SDI was associated with increases in cumulative years of life lived with disability and decreases in CMNN DALYs offset by increased NCD DALYs. Relative compression of morbidity highlights the importance of continued health interventions, which has changed in most locations in pace with the gross domestic product per person, education, and family planning. The analysis of DALYs and HALE and their relationship to SDI represents a robust framework with which to benchmark location-specific health performance. Country-specific drivers of disease burden, particularly for causes with higher-than-expected DALYs, should inform health policies, health system improvement initiatives, targeted prevention efforts, and development assistance for health, including financial and research investments for all countries, regardless of their level of sociodemographic development. The presence of countries that substantially outperform others suggests the need for increased scrutiny for proven examples of best practices, which can help to extend gains, whereas the presence of underperforming countries suggests the need for devotion of extra attention to health systems that need more robust support.FundingBill & Melinda Gates Foundation.

Published
2017

33. Global, regional, and national age-sex specific mortality for 264 causes of death, 1980–2016: a systematic analysis for the Global Burden of Disease Study 2016

Author

Collaborators, GBD 2016 Causes of Death, Naghavi, Mohsen, Abajobir, Amanuel Alemu, Abbafati, Cristiana, Abbas, Kaja M, Abd-Allah, Foad, Abera, Semaw Ferede, Aboyans, Victor, Adetokunboh, Olatunji, Afshin, Ashkan, Agrawal, Anurag, Ahmadi, Alireza, Ahmed, Muktar Beshir, Aichour, Amani Nidhal, Aichour, Miloud Taki Eddine, Aichour, Ibtihel, Aiyar, Sneha, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alam, Noore, Alam, Tahiya, Alene, Kefyalew Addis, Al-Eyadhy, Ayman, Ali, Syed Danish, Alizadeh-Navaei, Reza, Alkaabi, Juma M, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Allen, Christine, Al-Raddadi, Rajaa, Alsharif, Ubai, Altirkawi, Khalid A, Alvis-Guzman, Nelson, Amare, Azmeraw T, Amini, Erfan, Ammar, Walid, Amoako, Yaw Ampem, Anber, Nahla, Andersen, Hjalte H, Andrei, Catalina Liliana, Androudi, Sofia, Ansari, Hossein, Antonio, Carl Abelardo T, Anwari, Palwasha, Ärnlöv, Johan, Arora, Megha, Artaman, Al, Aryal, Krishna Kumar, Asayesh, Hamid, Asgedom, Solomon W, Atey, Tesfay Mehari, Avila-Burgos, Leticia, Avokpaho, Euripide Frinel G, Awasthi, Ashish, Babalola, Tesleem Kayode, Bacha, Umar, Balakrishnan, Kalpana, Barac, Aleksandra, Barboza, Miguel A, Barker-Collo, Suzanne L, Barquera, Simon, Barregard, Lars, Barrero, Lope H, Baune, Bernhard T, Bedi, Neeraj, Beghi, Ettore, Béjot, Yannick, Bekele, Bayu Begashaw, Bell, Michelle L, Bennett, James R, Bensenor, Isabela M, Berhane, Adugnaw, Bernabé, Eduardo, Betsu, Balem Demtsu, Beuran, Mircea, Bhatt, Samir, Biadgilign, Sibhatu, Bienhoff, Kelly, Bikbov, Boris, Bisanzio, Donal, Bourne, Rupert RA, Breitborde, Nicholas JK, Bulto, Lemma Negesa Bulto, Bumgarner, Blair R, Butt, Zahid A, Cahuana-Hurtado, Lucero, Cameron, Ewan, Campuzano, Julio Cesar, Car, Josip, Cárdenas, Rosario, Carrero, Juan Jesus, Carter, Austin, Casey, Daniel C, Castañeda-Orjuela, Carlos A, Catalá-López, Ferrán, Charlson, Fiona J, Chibueze, Chioma Ezinne, and Chimed-Ochir, Odgerel

Subjects
Pediatric, Clinical Research, Infant Mortality, Infectious Diseases, 2.4 Surveillance and distribution, Aetiology, Infection, Cardiovascular, Good Health and Well Being, Adolescent, Adult, Age Distribution, Aged, Aged, 80 and over, Cause of Death, Child, Child, Preschool, Communicable Diseases, Disasters, Female, Global Burden of Disease, Global Health, Humans, Infant, Infant, Newborn, Male, Middle Aged, Noncommunicable Diseases, Nutrition Disorders, Pregnancy, Pregnancy Complications, Socioeconomic Factors, Wounds and Injuries, Young Adult, GBD 2016 Causes of Death Collaborators, Medical and Health Sciences, General & Internal Medicine
Abstract

BackgroundMonitoring levels and trends in premature mortality is crucial to understanding how societies can address prominent sources of early death. The Global Burden of Disease 2016 Study (GBD 2016) provides a comprehensive assessment of cause-specific mortality for 264 causes in 195 locations from 1980 to 2016. This assessment includes evaluation of the expected epidemiological transition with changes in development and where local patterns deviate from these trends.MethodsWe estimated cause-specific deaths and years of life lost (YLLs) by age, sex, geography, and year. YLLs were calculated from the sum of each death multiplied by the standard life expectancy at each age. We used the GBD cause of death database composed of: vital registration (VR) data corrected for under-registration and garbage coding; national and subnational verbal autopsy (VA) studies corrected for garbage coding; and other sources including surveys and surveillance systems for specific causes such as maternal mortality. To facilitate assessment of quality, we reported on the fraction of deaths assigned to GBD Level 1 or Level 2 causes that cannot be underlying causes of death (major garbage codes) by location and year. Based on completeness, garbage coding, cause list detail, and time periods covered, we provided an overall data quality rating for each location with scores ranging from 0 stars (worst) to 5 stars (best). We used robust statistical methods including the Cause of Death Ensemble model (CODEm) to generate estimates for each location, year, age, and sex. We assessed observed and expected levels and trends of cause-specific deaths in relation to the Socio-demographic Index (SDI), a summary indicator derived from measures of average income per capita, educational attainment, and total fertility, with locations grouped into quintiles by SDI. Relative to GBD 2015, we expanded the GBD cause hierarchy by 18 causes of death for GBD 2016.FindingsThe quality of available data varied by location. Data quality in 25 countries rated in the highest category (5 stars), while 48, 30, 21, and 44 countries were rated at each of the succeeding data quality levels. Vital registration or verbal autopsy data were not available in 27 countries, resulting in the assignment of a zero value for data quality. Deaths from non-communicable diseases (NCDs) represented 72·3% (95% uncertainty interval [UI] 71·2-73·2) of deaths in 2016 with 19·3% (18·5-20·4) of deaths in that year occurring from communicable, maternal, neonatal, and nutritional (CMNN) diseases and a further 8·43% (8·00-8·67) from injuries. Although age-standardised rates of death from NCDs decreased globally between 2006 and 2016, total numbers of these deaths increased; both numbers and age-standardised rates of death from CMNN causes decreased in the decade 2006-16-age-standardised rates of deaths from injuries decreased but total numbers varied little. In 2016, the three leading global causes of death in children under-5 were lower respiratory infections, neonatal preterm birth complications, and neonatal encephalopathy due to birth asphyxia and trauma, combined resulting in 1·80 million deaths (95% UI 1·59 million to 1·89 million). Between 1990 and 2016, a profound shift toward deaths at older ages occurred with a 178% (95% UI 176-181) increase in deaths in ages 90-94 years and a 210% (208-212) increase in deaths older than age 95 years. The ten leading causes by rates of age-standardised YLL significantly decreased from 2006 to 2016 (median annualised rate of change was a decrease of 2·89%); the median annualised rate of change for all other causes was lower (a decrease of 1·59%) during the same interval. Globally, the five leading causes of total YLLs in 2016 were cardiovascular diseases; diarrhoea, lower respiratory infections, and other common infectious diseases; neoplasms; neonatal disorders; and HIV/AIDS and tuberculosis. At a finer level of disaggregation within cause groupings, the ten leading causes of total YLLs in 2016 were ischaemic heart disease, cerebrovascular disease, lower respiratory infections, diarrhoeal diseases, road injuries, malaria, neonatal preterm birth complications, HIV/AIDS, chronic obstructive pulmonary disease, and neonatal encephalopathy due to birth asphyxia and trauma. Ischaemic heart disease was the leading cause of total YLLs in 113 countries for men and 97 countries for women. Comparisons of observed levels of YLLs by countries, relative to the level of YLLs expected on the basis of SDI alone, highlighted distinct regional patterns including the greater than expected level of YLLs from malaria and from HIV/AIDS across sub-Saharan Africa; diabetes mellitus, especially in Oceania; interpersonal violence, notably within Latin America and the Caribbean; and cardiomyopathy and myocarditis, particularly in eastern and central Europe. The level of YLLs from ischaemic heart disease was less than expected in 117 of 195 locations. Other leading causes of YLLs for which YLLs were notably lower than expected included neonatal preterm birth complications in many locations in both south Asia and southeast Asia, and cerebrovascular disease in western Europe.InterpretationThe past 37 years have featured declining rates of communicable, maternal, neonatal, and nutritional diseases across all quintiles of SDI, with faster than expected gains for many locations relative to their SDI. A global shift towards deaths at older ages suggests success in reducing many causes of early death. YLLs have increased globally for causes such as diabetes mellitus or some neoplasms, and in some locations for causes such as drug use disorders, and conflict and terrorism. Increasing levels of YLLs might reflect outcomes from conditions that required high levels of care but for which effective treatments remain elusive, potentially increasing costs to health systems.FundingBill & Melinda Gates Foundation.

Published
2017

34. Measuring progress and projecting attainment on the basis of past trends of the health-related Sustainable Development Goals in 188 countries: an analysis from the Global Burden of Disease Study 2016

Author

Collaborators, GBD 2016 SDG, Fullman, Nancy, Barber, Ryan M, Abajobir, Amanuel Alemu, Abate, Kalkidan Hassen, Abbafati, Cristiana, Abbas, Kaja M, Abd-Allah, Foad, Abdulkader, Rizwan Suliankatchi, Abdulle, Abdishakur M, Abera, Semaw Ferede, Aboyans, Victor, Abu-Raddad, Laith J, Abu-Rmeileh, Niveen ME, Adedeji, Isaac Akinkunmi, Adetokunboh, Olatunji, Afshin, Ashkan, Agrawal, Anurag, Agrawal, Sutapa, Kiadaliri, Aliasghar Ahmad, Ahmadieh, Hamid, Ahmed, Muktar Beshir, Aichour, Miloud Taki Eddine, Aichour, Amani Nidhal, Aichour, Ibtihel, Aiyar, Sneha, Akinyemi, Rufus Olusola, Akseer, Nadia, Al-Aly, Ziyad, Alam, Khurshid, Alam, Noore, Alasfoor, Deena, Alene, Kefyalew Addis, Alizadeh-Navaei, Reza, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Allen, Christine, Al-Raddadi, Rajaa, Alsharif, Ubai, Altirkawi, Khalid A, Alvis-Guzman, Nelson, Amare, Azmeraw T, Amini, Erfan, Ammar, Walid, Ansari, Hossein, Antonio, Carl Abelardo T, Anwari, Palwasha, Arora, Megha, Artaman, Al, Aryal, Krishna Kumar, Asayesh, Hamid, Asgedom, Solomon Weldegebreal, Assadi, Reza, Atey, Tesfay Mehari, Atre, Sachin R, Avila-Burgos, Leticia, Avokpaho, Euripide Frinel G Arthur, Awasthi, Ashish, Azzopardi, Peter, Bacha, Umar, Badawi, Alaa, Balakrishnan, Kalpana, Bannick, Marlena S, Barac, Aleksandra, Barker-Collo, Suzanne L, Bärnighausen, Till, Barrero, Lope H, Basu, Sanjay, Battle, Katherine E, Baune, Bernhard T, Beardsley, Justin, Bedi, Neeraj, Beghi, Ettore, Béjot, Yannick, Bell, Michelle L, Bennett, Derrick A, Bennett, James R, Bensenor, Isabela M, Berhane, Adugnaw, Berhe, Derbew Fikadu, Bernabé, Eduardo, Betsu, Balem Demtsu, Beuran, Mircea, Beyene, Addisu Shunu, Bhala, Neeraj, Bhansali, Anil, Bhatt, Samir, Bhutta, Zulfiqar A, Bicer, Burcu Kucuk, Bidgoli, Hassan Haghparast, Bikbov, Boris, Bilal, Arebu I, Birungi, Charles, Biryukov, Stan, Bizuayehu, Habtamu Mellie, Blosser, Christopher D, Boneya, Dube Jara, Bose, Dipan, and Bou-Orm, Ibrahim R

Subjects
Infectious Diseases, Pediatric, Prevention, Rare Diseases, Good Health and Well Being, Adolescent, Adult, Child, Child Abuse, Sexual, Child, Preschool, Conservation of Natural Resources, Female, Global Burden of Disease, Global Health, Health Status, Health Status Indicators, Humans, Infant, Infant Mortality, Infant, Newborn, Male, Middle Aged, Noncommunicable Diseases, Quality-Adjusted Life Years, Sex Offenses, Young Adult, GBD 2016 SDG Collaborators, Medical and Health Sciences, General & Internal Medicine
Abstract

BackgroundThe UN's Sustainable Development Goals (SDGs) are grounded in the global ambition of "leaving no one behind". Understanding today's gains and gaps for the health-related SDGs is essential for decision makers as they aim to improve the health of populations. As part of the Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016), we measured 37 of the 50 health-related SDG indicators over the period 1990-2016 for 188 countries, and then on the basis of these past trends, we projected indicators to 2030.MethodsWe used standardised GBD 2016 methods to measure 37 health-related indicators from 1990 to 2016, an increase of four indicators since GBD 2015. We substantially revised the universal health coverage (UHC) measure, which focuses on coverage of essential health services, to also represent personal health-care access and quality for several non-communicable diseases. We transformed each indicator on a scale of 0-100, with 0 as the 2·5th percentile estimated between 1990 and 2030, and 100 as the 97·5th percentile during that time. An index representing all 37 health-related SDG indicators was constructed by taking the geometric mean of scaled indicators by target. On the basis of past trends, we produced projections of indicator values, using a weighted average of the indicator and country-specific annualised rates of change from 1990 to 2016 with weights for each annual rate of change based on out-of-sample validity. 24 of the currently measured health-related SDG indicators have defined SDG targets, against which we assessed attainment.FindingsGlobally, the median health-related SDG index was 56·7 (IQR 31·9-66·8) in 2016 and country-level performance markedly varied, with Singapore (86·8, 95% uncertainty interval 84·6-88·9), Iceland (86·0, 84·1-87·6), and Sweden (85·6, 81·8-87·8) having the highest levels in 2016 and Afghanistan (10·9, 9·6-11·9), the Central African Republic (11·0, 8·8-13·8), and Somalia (11·3, 9·5-13·1) recording the lowest. Between 2000 and 2016, notable improvements in the UHC index were achieved by several countries, including Cambodia, Rwanda, Equatorial Guinea, Laos, Turkey, and China; however, a number of countries, such as Lesotho and the Central African Republic, but also high-income countries, such as the USA, showed minimal gains. Based on projections of past trends, the median number of SDG targets attained in 2030 was five (IQR 2-8) of the 24 defined targets currently measured. Globally, projected target attainment considerably varied by SDG indicator, ranging from more than 60% of countries projected to reach targets for under-5 mortality, neonatal mortality, maternal mortality ratio, and malaria, to less than 5% of countries projected to achieve targets linked to 11 indicator targets, including those for childhood overweight, tuberculosis, and road injury mortality. For several of the health-related SDGs, meeting defined targets hinges upon substantially faster progress than what most countries have achieved in the past.InterpretationGBD 2016 provides an updated and expanded evidence base on where the world currently stands in terms of the health-related SDGs. Our improved measure of UHC offers a basis to monitor the expansion of health services necessary to meet the SDGs. Based on past rates of progress, many places are facing challenges in meeting defined health-related SDG targets, particularly among countries that are the worst off. In view of the early stages of SDG implementation, however, opportunity remains to take actions to accelerate progress, as shown by the catalytic effects of adopting the Millennium Development Goals after 2000. With the SDGs' broader, bolder development agenda, multisectoral commitments and investments are vital to make the health-related SDGs within reach of all populations.FundingBill & Melinda Gates Foundation.

Published
2017

35. Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016

Author

Collaborators, GBD 2016 Disease and Injury Incidence and Prevalence, Vos, Theo, Abajobir, Amanuel Alemu, Abate, Kalkidan Hassen, Abbafati, Cristiana, Abbas, Kaja M, Abd-Allah, Foad, Abdulkader, Rizwan Suliankatchi, Abdulle, Abdishakur M, Abebo, Teshome Abuka, Abera, Semaw Ferede, Aboyans, Victor, Abu-Raddad, Laith J, Ackerman, Ilana N, Adamu, Abdu Abdullahi, Adetokunboh, Olatunji, Afarideh, Mohsen, Afshin, Ashkan, Agarwal, Sanjay Kumar, Aggarwal, Rakesh, Agrawal, Anurag, Agrawal, Sutapa, Ahmadieh, Hamid, Ahmed, Muktar Beshir, Aichour, Miloud Taki Eddine, Aichour, Amani Nidhal, Aichour, Ibtihel, Aiyar, Sneha, Akinyemi, Rufus Olusola, Akseer, Nadia, Al Lami, Faris Hasan, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alam, Noore, Alam, Tahiya, Alasfoor, Deena, Alene, Kefyalew Addis, Ali, Raghib, Alizadeh-Navaei, Reza, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Allen, Christine, Al-Maskari, Fatma, Al-Raddadi, Rajaa, Alsharif, Ubai, Alsowaidi, Shirina, Altirkawi, Khalid A, Amare, Azmeraw T, Amini, Erfan, Ammar, Walid, Amoako, Yaw Ampem, Andersen, Hjalte H, Antonio, Carl Abelardo T, Anwari, Palwasha, Ärnlöv, Johan, Artaman, Al, Aryal, Krishna Kumar, Asayesh, Hamid, Asgedom, Solomon W, Assadi, Reza, Atey, Tesfay Mehari, Atnafu, Niguse Tadele, Atre, Sachin R, Avila-Burgos, Leticia, Avokphako, Euripide Frinel G Arthur, Awasthi, Ashish, Bacha, Umar, Badawi, Alaa, Balakrishnan, Kalpana, Banerjee, Amitava, Bannick, Marlena S, Barac, Aleksandra, Barber, Ryan M, Barker-Collo, Suzanne L, Bärnighausen, Till, Barquera, Simon, Barregard, Lars, Barrero, Lope H, Basu, Sanjay, Battista, Bob, Battle, Katherine E, Baune, Bernhard T, Bazargan-Hejazi, Shahrzad, Beardsley, Justin, Bedi, Neeraj, Beghi, Ettore, Béjot, Yannick, Bekele, Bayu Begashaw, Bell, Michelle L, Bennett, Derrick A, Bensenor, Isabela M, Benson, Jennifer, Berhane, Adugnaw, Berhe, Derbew Fikadu, Bernabé, Eduardo, Betsu, Balem Demtsu, Beuran, Mircea, and Beyene, Addisu Shunu

Subjects
Biomedical and Clinical Sciences, Epidemiology, Public Health, Clinical Sciences, Health Sciences, Neurosciences, Behavioral and Social Science, Burden of Illness, Aging, Brain Disorders, Mental Health, Women's Health, 2.4 Surveillance and distribution, Good Health and Well Being, Adolescent, Adult, Age Distribution, Aged, Aged, 80 and over, Cause of Death, Child, Child, Preschool, Communicable Diseases, Disabled Persons, Female, Global Burden of Disease, Global Health, Humans, Incidence, Infant, Infant, Newborn, Male, Middle Aged, Noncommunicable Diseases, Prevalence, Sex Distribution, Wounds and Injuries, Young Adult, GBD 2016 Disease and Injury Incidence and Prevalence Collaborators, Medical and Health Sciences, General & Internal Medicine, Biomedical and clinical sciences, Health sciences
Abstract

BackgroundAs mortality rates decline, life expectancy increases, and populations age, non-fatal outcomes of diseases and injuries are becoming a larger component of the global burden of disease. The Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) provides a comprehensive assessment of prevalence, incidence, and years lived with disability (YLDs) for 328 causes in 195 countries and territories from 1990 to 2016.MethodsWe estimated prevalence and incidence for 328 diseases and injuries and 2982 sequelae, their non-fatal consequences. We used DisMod-MR 2.1, a Bayesian meta-regression tool, as the main method of estimation, ensuring consistency between incidence, prevalence, remission, and cause of death rates for each condition. For some causes, we used alternative modelling strategies if incidence or prevalence needed to be derived from other data. YLDs were estimated as the product of prevalence and a disability weight for all mutually exclusive sequelae, corrected for comorbidity and aggregated to cause level. We updated the Socio-demographic Index (SDI), a summary indicator of income per capita, years of schooling, and total fertility rate. GBD 2016 complies with the Guidelines for Accurate and Transparent Health Estimates Reporting (GATHER).FindingsGlobally, low back pain, migraine, age-related and other hearing loss, iron-deficiency anaemia, and major depressive disorder were the five leading causes of YLDs in 2016, contributing 57·6 million (95% uncertainty interval [UI] 40·8-75·9 million [7·2%, 6·0-8·3]), 45·1 million (29·0-62·8 million [5·6%, 4·0-7·2]), 36·3 million (25·3-50·9 million [4·5%, 3·8-5·3]), 34·7 million (23·0-49·6 million [4·3%, 3·5-5·2]), and 34·1 million (23·5-46·0 million [4·2%, 3·2-5·3]) of total YLDs, respectively. Age-standardised rates of YLDs for all causes combined decreased between 1990 and 2016 by 2·7% (95% UI 2·3-3·1). Despite mostly stagnant age-standardised rates, the absolute number of YLDs from non-communicable diseases has been growing rapidly across all SDI quintiles, partly because of population growth, but also the ageing of populations. The largest absolute increases in total numbers of YLDs globally were between the ages of 40 and 69 years. Age-standardised YLD rates for all conditions combined were 10·4% (95% UI 9·0-11·8) higher in women than in men. Iron-deficiency anaemia, migraine, Alzheimer's disease and other dementias, major depressive disorder, anxiety, and all musculoskeletal disorders apart from gout were the main conditions contributing to higher YLD rates in women. Men had higher age-standardised rates of substance use disorders, diabetes, cardiovascular diseases, cancers, and all injuries apart from sexual violence. Globally, we noted much less geographical variation in disability than has been documented for premature mortality. In 2016, there was a less than two times difference in age-standardised YLD rates for all causes between the location with the lowest rate (China, 9201 YLDs per 100 000, 95% UI 6862-11943) and highest rate (Yemen, 14 774 YLDs per 100 000, 11 018-19 228).InterpretationThe decrease in death rates since 1990 for most causes has not been matched by a similar decline in age-standardised YLD rates. For many large causes, YLD rates have either been stagnant or have increased for some causes, such as diabetes. As populations are ageing, and the prevalence of disabling disease generally increases steeply with age, health systems will face increasing demand for services that are generally costlier than the interventions that have led to declines in mortality in childhood or for the major causes of mortality in adults. Up-to-date information about the trends of disease and how this varies between countries is essential to plan for an adequate health-system response.FundingBill & Melinda Gates Foundation, and the National Institute on Aging and the National Institute of Mental Health of the National Institutes of Health.

Published
2017

43. Prevalence and risk factors of gastroesophageal reflux disease symptoms in Mazandaran, North of Iran: A Tabari cohort study.

Author

Maleki, Iradj, Borhani, Samaneh, Moosazadeh, Mahmood, and Alizadeh-Navaei, Reza

Subjects
GASTROESOPHAGEAL reflux, SYMPTOMS, HEARTBURN, WAIST-hip ratio, DISEASE risk factors, COHORT analysis, WAIST circumference
Abstract

Background: Gastro-esophageal reflux disease (GERD) is a very common complaint. It is a major health concern and there is paucity of information about the epidemiology of the disease and its risk factors in Iran, especially Mazandaran province (North of Iran). This study aimed at investigating the prevalence of regurgitation and the factors associated with this condition in Tabari cohort study. Methods: This was a cross-sectional study that analyzed data from Tabari cohort study. Information including the presence and frequency of heartburn and regurgitation, demographic characteristics, socioeconomic status, occupational history, history of chronic illnesses, history of alcohol and cigarette consumption were recorded. Results: The prevalence of GERD symptoms were 27.6% (20.4% in men, and 32.4% in women, p=0.0001). The frequency of typical symptoms was significantly higher in women than that in men. The risk of developing GERD symptoms were 1.7 times higher in women (p=0.0001). The highest prevalence of GERD symptoms was found in urban areas (41.8%, p=0.0001), in people with low educational levels (48%, p=0.0001), and in participants with history of depression symptoms (36.2%, p=0.0001). The prevalence of GERD symptoms was significantly high in individuals with higher BMI (29.5%, p=0.006), greater waist to hip ratio (29.1%, p=0.0001, p=0.0001), and high waist circumference (31.7%, p=0.0001). Conclusion: This study showed gender, region of residence, educational level, and depression symptoms as the main risk factors for developing GERD symptoms. [ABSTRACT FROM AUTHOR]

Published
2024
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45. Opium use and risk of colorectal cancer: a multi-center case-referent study in Iran

Author

Hadji, Maryam, primary, Marzban, Maryam, additional, Rashidian, Hamideh, additional, Naghibzadeh-Tahami, Ahmad, additional, Gholipour, Mahin, additional, Mohebbi, Elham, additional, Safari-Faramani, Roya, additional, Seyyedsalehi, Monireh Sadat, additional, Hosseini, Bayan, additional, Alizadeh-Navaei, Reza, additional, Rezaianzadeh, Abbas, additional, Moradi, Abdolvahab, additional, ShahidSales, Soodabeh, additional, Najafi, Farid, additional, Moazed, Vahid, additional, Haghdoost, Ali Akbar, additional, Rahimi-Movaghar, Afarin, additional, Etemadi, Arash, additional, Malekzadeh, Reza, additional, Boffetta, Paolo, additional, Weiderpass, Elisabete, additional, Kamangar, Farin, additional, Zendehdel, Kazem, additional, and Pukkala, Eero, additional

Published
2023
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48. Global, regional, and national disability-adjusted life-years (DALYs) for 333 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016

Author

Hay, Simon I, Abajobir, Amanuel Alemu, Abate, Kalkidan Hassen, Abbafati, Cristiana, Abbas, Kaja M, Abd-Allah, Foad, Abdulkader, Rizwan Suliankatchi, Abdulle, Abdishakur M, Abebo, Teshome Abuka, Abera, Semaw Ferede, Aboyans, Victor, Abu-Raddad, Laith J, Ackerman, Ilana N, Adedeji, Isaac A, Adetokunboh, Olatunji, Afshin, Ashkan, Aggarwal, Rakesh, Agrawal, Sutapa, Agrawal, Anurag, Ahmed, Muktar Beshir, Aichour, Miloud Taki Eddine, Aichour, Amani Nidhal, Aichour, Ibtihel, Aiyar, Sneha, Akinyemiju, Tomi F, Akseer, Nadia, Al Lami, Faris Hasan, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alam, Noore, Alam, Tahiya, Alasfoor, Deena, Alene, Kefyalew Addis, Ali, Raghib, Alizadeh-Navaei, Reza, Alkaabi, Juma M, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Allen, Christine, Al-Maskari, Fatma, AlMazroa, Mohammad AbdulAziz, Al-Raddadi, Rajaa, Alsharif, Ubai, Alsowaidi, Shirina, Althouse, Benjamin M, Altirkawi, Khalid A, Alvis-Guzman, Nelson, Amare, Azmeraw T, Amini, Erfan, Ammar, Walid, Amoako, Yaw Ampem, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, Anwari, Palwasha, Ärnlöv, Johan, Arora, Megha, Artaman, Al, Aryal, Krishna Kumar, Asgedom, Solomon W, Atey, Tesfay Mehari, Atnafu, Niguse Tadele, Avila-Burgos, Leticia, Avokpaho, Euripide Frinel G Arthur, Awasthi, Ashish, Awasthi, Shally, Azarpazhooh, Mahmoud Reza, Azzopardi, Peter, Babalola, Tesleem Kayode, Bacha, Umar, Badawi, Alaa, Balakrishnan, Kalpana, Bannick, Marlena S, Barac, Aleksandra, Barker-Collo, Suzanne L, Bärnighausen, Till, Barquera, Simon, Barrero, Lope H, Basu, Sanjay, Battista, Robert, Battle, Katherine E, Baune, Bernhard T, Bazargan-Hejazi, Shahrzad, Beardsley, Justin, Bedi, Neeraj, Béjot, Yannick, Bekele, Bayu Begashaw, Bell, Michelle L, Bennett, Derrick A, Bennett, James R, Bensenor, Isabela M, Benson, Jennifer, Berhane, Adugnaw, Berhe, Derbew Fikadu, Bernabé, Eduardo, Betsu, Balem Demtsu, Beuran, Mircea, Beyene, Addisu Shunu, Bhansali, Anil, Bhatt, Samir, Bhutta, Zulfiqar A, Biadgilign, Sibhatu, Bicer, Burcu Kucuk, Bienhoff, Kelly, Bikbov, Boris, Birungi, Charles, Biryukov, Stan, Bisanzio, Donal, Bizuayehu, Habtamu Mellie, Blyth, Fiona M, Boneya, Dube Jara, Bose, Dipan, Bou-Orm, Ibrahim R, Bourne, Rupert R A, Brainin, Michael, Brayne, Carol, Brazinova, Alexandra, Breitborde, Nicholas J K, Briant, Paul S, Britton, Gabrielle, Brugha, Traolach S, Buchbinder, Rachelle, Bulto, Lemma Negesa Bulto, Bumgarner, Blair R, Butt, Zahid A, Cahuana-Hurtado, Lucero, Cameron, Ewan, Campos-Nonato, Ismael Ricardo, Carabin, Hélène, Cárdenas, Rosario, Carpenter, David O, Carrero, Juan Jesus, Carter, Austin, Carvalho, Felix, Casey, Daniel, Castañeda-Orjuela, Carlos A, Castle, Chris D, Catalá-López, Ferrán, Chang, Jung-Chen, Charlson, Fiona J, Chaturvedi, Pankaj, Chen, Honglei, Chibalabala, Mirriam, Chibueze, Chioma Ezinne, Chisumpa, Vesper Hichilombwe, Chitheer, Abdulaal A, Chowdhury, Rajiv, Christopher, Devasahayam Jesudas, Ciobanu, Liliana G, Cirillo, Massimo, Colombara, Danny, Cooper, Leslie Trumbull, Cooper, Cyrus, Cortesi, Paolo Angelo, Cortinovis, Monica, Criqui, Michael H, Cromwell, Elizabeth A, Cross, Marita, Crump, John A, Dadi, Abel Fekadu, Dalal, Koustuv, Damasceno, Albertino, Dandona, Lalit, Dandona, Rakhi, das Neves, José, Davitoiu, Dragos V, Davletov, Kairat, de Courten, Barbora, De Leo, Diego, De Steur, Hans, Defo, Barthelemy Kuate, Degenhardt, Louisa, Deiparine, Selina, Dellavalle, Robert P, Deribe, Kebede, Deribew, Amare, Des Jarlais, Don C, Dey, Subhojit, Dharmaratne, Samath D, Dhillon, Preet K, Dicker, Daniel, Djalainia, Shirin, Do, Huyen Phuc, Dokova, Klara, Doku, David Teye, Dorsey, E Ray, dos Santos, Kadine Priscila Bender, Driscoll, Tim R, Dubey, Manisha, Duncan, Bruce Bartholow, Ebel, Beth E, Echko, Michelle, El-Khatib, Ziad Ziad, Enayati, Ahmadali, Endries, Aman Yesuf, Ermakov, Sergey Petrovich, Erskine, Holly E, Eshetie, Setegn, Eshrati, Babak, Esteghamati, Alireza, Estep, Kara, Fanuel, Fanuel Belayneh Bekele, Farag, Tamer, Farinha, Carla Sofia e Sa, Faro, André, Farzadfar, Farshad, Fazeli, Mir Sohail, Feigin, Valery L, Feigl, Andrea B, Fereshtehnejad, Seyed-Mohammad, Fernandes, João C, Ferrari, Alize J, Feyissa, Tesfaye Regassa, Filip, Irina, Fischer, Florian, Fitzmaurice, Christina, Flaxman, Abraham D, Foigt, Nataliya, Foreman, Kyle J, Franklin, Richard C, Frostad, Joseph J, Fullman, Nancy, Fürst, Thomas, Furtado, Joao M, Futran, Neal D, Gakidou, Emmanuela, Garcia-Basteiro, Alberto L, Gebre, Teshome, Gebregergs, Gebremedhin Berhe, Gebrehiwot, Tsegaye Tewelde, Geleijnse, Johanna M, Geleto, Ayele, Gemechu, Bikila Lencha, Gesesew, Hailay Abrha, Gething, Peter W, Ghajar, Alireza, Gibney, Katherine B, Gillum, Richard F, Ginawi, Ibrahim Abdelmageem Mohamed, Gishu, Melkamu Dedefo, Giussani, Giorgia, Godwin, William W, Goel, Kashish, Goenka, Shifalika, Goldberg, Ellen M, Gona, Philimon N, Goodridge, Amador, Gopalani, Sameer Vali, Gosselin, Richard A, Gotay, Carolyn C, Goto, Atsushi, Goulart, Alessandra Carvalho, Graetz, Nicholas, Gugnani, Harish Chander, Gupta, Prakash C, Gupta, Rajeev, Gupta, Tanush, Gupta, Vipin, Gupta, Rahul, Gutiérrez, Reyna A, Hachinski, Vladimir, Hafezi-Nejad, Nima, Hailu, Alemayehu Desalegne, Hailu, Gessessew Bugssa, Hamadeh, Randah Ribhi, Hamidi, Samer, Hammami, Mouhanad, Handal, Alexis J, Hankey, Graeme J, Hao, Yuantao, Harb, Hilda L, Hareri, Habtamu Abera, Haro, Josep Maria, Harun, Kimani M, Harvey, James, Hassanvand, Mohammad Sadegh, Havmoeller, Rasmus, Hay, Roderick J, Hedayati, Mohammad T, Hendrie, Delia, Henry, Nathaniel J, Heredia-Pi, Ileana Beatriz, Heydarpour, Pouria, Hoek, Hans W, Hoffman, Howard J, Horino, Masako, Horita, Nobuyuki, Hosgood, H Dean, Hostiuc, Sorin, Hotez, Peter J, Hoy, Damian G, Htet, Aung Soe, Hu, Guoqing, Huang, John J, Huynh, Chantal, Iburg, Kim Moesgaard, Igumbor, Ehimario Uche, Ikeda, Chad, Irvine, Caleb Mackay Salpeter, Islam, Sheikh Mohammed Shariful, Jacobsen, Kathryn H, Jahanmehr, Nader, Jakovljevic, Mihajlo B, James, Peter, Jassal, Simerjot K, Javanbakht, Mehdi, Jayaraman, Sudha P, Jeemon, Panniyammakal, Jensen, Paul N, Jha, Vivekanand, Jiang, Guohong, John, Denny, Johnson, Catherine O, Johnson, Sarah Charlotte, Jonas, Jost B, Jürisson, Mikk, Kabir, Zubair, Kadel, Rajendra, Kahsay, Amaha, Kamal, Ritul, Kar, Chittaranjan, Karam, Nadim E, Karch, André, Karema, Corine Kakizi, Karimi, Seyed M, Karimkhani, Chante, Kasaeian, Amir, Kassa, Getachew Mullu, Kassaw, Nigussie Assefa, Kassebaum, Nicholas J, Kastor, Anshul, Katikireddi, Srinivasa Vittal, Kaul, Anil, Kawakami, Norito, Keiyoro, Peter Njenga, Kemmer, Laura, Kengne, Andre Pascal, Keren, Andre, Kesavachandran, Chandrasekharan Nair, Khader, Yousef Saleh, Khalil, Ibrahim A, Khan, Ejaz Ahmad, Khang, Young-Ho, Khoja, Abdullah T, Khosravi, Ardeshir, Khubchandani, Jagdish, Kiadaliri, Aliasghar Ahmad, Kieling, Christian, Kim, Yun Jin, Kim, Daniel, Kimokoti, Ruth W, Kinfu, Yohannes, Kisa, Adnan, Kissimova-Skarbek, Katarzyna A, Kissoon, Niranjan, Kivimaki, Mika, Knudsen, Ann Kristin, Kokubo, Yoshihiro, Kolte, Dhaval, Kopec, Jacek A, Kosen, Soewarta, Kotsakis, Georgios A, Koul, Parvaiz A, Koyanagi, Ai, Kravchenko, Michael, Krohn, Kristopher J, Kumar, G Anil, Kumar, Pushpendra, Kyu, Hmwe H, Lager, Anton Carl Jonas, Lal, Dharmesh Kumar, Lalloo, Ratilal, Lallukka, Tea, Lambert, Nkurunziza, Lan, Qing, Lansingh, Van C, Larsson, Anders, Leasher, Janet L, Lee, Paul H, Leigh, James, Leshargie, Cheru Tesema, Leung, Janni, Leung, Ricky, Levi, Miriam, Li, Yichong, Li, Yongmei, Liang, Xiaofeng, Liben, Misgan Legesse, Lim, Stephen S, Linn, Shai, Liu, Patrick Y, Liu, Angela, Liu, Shiwei, Liu, Yang, Lodha, Rakesh, Logroscino, Giancarlo, Looker, Katharine J, Lopez, Alan D, Lorkowski, Stefan, Lotufo, Paulo A, Lozano, Rafael, Lucas, Timothy C D, Lunevicius, Raimundas, Lyons, Ronan A, Macarayan, Erlyn Rachelle King, Maddison, Emilie R, Magdy Abd El Razek, Hassan Magdy Abd, Magdy Abd El Razek, Mohammed, Magis-Rodriguez, Carlos, Mahdavi, Mahdi, Majdan, Marek, Majdzadeh, Reza, Majeed, Azeem, Malekzadeh, Reza, Malhotra, Rajesh, Malta, Deborah Carvalho, Mamun, Abdullah A, Manguerra, Helena, Manhertz, Treh, Mantovani, Lorenzo G, Mapoma, Chabila C, March, Lyn M, Marczak, Laurie B, Martinez-Raga, Jose, Martins, Paulo Henrique Viegas, Martins-Melo, Francisco Rogerlândio, Martopullo, Ira, März, Winfried, Mathur, Manu Raj, Mazidi, Mohsen, McAlinden, Colm, McGaughey, Madeline, McGrath, John J, McKee, Martin, Mehata, Suresh, Meier, Toni, Meles, Kidanu Gebremariam, Memiah, Peter, Memish, Ziad A, Mendoza, Walter, Mengesha, Melkamu Merid, Mengistie, Mubarek Abera, Mengistu, Desalegn Tadese, Mensah, George A, Meretoja, Tuomo J, Meretoja, Atte, Mezgebe, Haftay Berhane, Micha, Renata, Millear, Anoushka, Miller, Ted R, Minnig, Shawn, Mirarefin, Mojde, Mirrakhimov, Erkin M, Misganaw, Awoke, Mishra, Shiva Raj, Mitchell, Philip B, Mohammad, Karzan Abdulmuhsin, Mohammadi, Alireza, Mohammed, Muktar Sano Kedir, Mohammed, Kedir Endris, Mohammed, Shafiu, Mohan, Murali B V, Mokdad, Ali H, Mollenkopf, Sarah K, Monasta, Lorenzo, Montañez Hernandez, Julio Cesar, Montico, Marcella, Moradi-Lakeh, Maziar, Moraga, Paula, Morawska, Lidia, Mori, Rintaro, Morrison, Shane D, Moses, Mark, Mountjoy-Venning, Cliff, Mruts, Kalayu Birhane, Mueller, Ulrich O, Muller, Kate, Murdoch, Michele E, Murthy, Gudlavalleti Venkata Satyanarayana, Murthy, Srinivas, Musa, Kamarul Imran, Nachega, Jean B, Nagel, Gabriele, Naghavi, Mohsen, Naheed, Aliya, Naidoo, Kovin S, Nangia, Vinay, Nasher, Jamal T, Natarajan, Gopalakrishnan, Negasa, Dumessa Edessa, Negoi, Ruxandra Irina, Negoi, Ionut, Newton, Charles R, Ngunjiri, Josephine Wanjiku, Nguyen, Cuong Tat, Nguyen, Quyen Le, Nguyen, Trang Huyen, Nguyen, Grant, Nguyen, Minh, Nichols, Emma, Ningrum, Dina Nur Anggraini, Nong, Vuong Minh, Norheim, Ole F, Norrving, Bo, Noubiap, Jean Jacques N, Nyandwi, Alypio, Obermeyer, Carla Makhlouf, O'Donnell, Martin J, Ogbo, Felix Akpojene, Oh, In-Hwan, Okoro, Anselm, Oladimeji, Olanrewaju, Olagunju, Andrew Toyin, Olagunju, Tinuke Oluwasefunmi, Olsen, Helen E, Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Ong, Kanyin, Opio, John Nelson, Oren, Eyal, Ortiz, Alberto, Osborne, Richard H, Osgood-Zimmerman, Aaron, Osman, Majdi, Ota, Erika, Owolabi, Mayowa O, PA, Mahesh, Pacella, Rosana E, Panda, Basant Kumar, Pandian, Jeyaraj Durai, Papachristou, Christina, Park, Eun-Kee, Parry, Charles D, Parsaeian, Mahboubeh, Patil, Snehal T, Patten, Scott B, Patton, George C, Paudel, Deepak, Paulson, Katherine, Pearce, Neil, Pereira, David M, Perez, Krystle Marie, Perico, Norberto, Pesudovs, Konrad, Peterson, Carrie Beth, Petri, William Arthur, Petzold, Max, Phillips, Michael Robert, Phipps, Geoffrey, Pigott, David M, Pillay, Julian David, Pinho, Christine, Piradov, Michael A, Plass, Dietrich, Pletcher, Martin A, Popova, Svetlana, Poulton, Richie G, Pourmalek, Farshad, Prabhakaran, Dorairaj, Prasad, Narayan, Purcell, Carrie, Purwar, Manorama, Qorbani, Mostafa, Quintanilla, Beatriz Paulina Ayala, Rabiee, Rynaz H S, Radfar, Amir, Rafay, Anwar, Rahimi, Kazem, Rahimi-Movaghar, Afarin, Rahimi-Movaghar, Vafa, Rahman, Mohammad Hifz Ur, Rahman, Muhammad Aziz, Rahman, Mahfuzar, Rai, Rajesh Kumar, Rajsic, Sasa, Ram, Usha, Ranabhat, Chhabi Lal, Rangaswamy, Thara, Rankin, Zane, Rao, Paturi Vishnupriya, Rao, Puja C, Rawaf, Salman, Ray, Sarah E, Reiner, Robert C, Reinig, Nikolas, Reitsma, Marissa, Remuzzi, Giuseppe, Renzaho, Andre M N, Resnikoff, Serge, Rezaei, Satar, Ribeiro, Antonio L, Rivas, Jacqueline Castillo, Roba, Hirbo Shore, Robinson, Stephen R, Rojas-Rueda, David, Rokni, Mohammad Bagher, Ronfani, Luca, Roshandel, Gholamreza, Roth, Gregory A, Rothenbacher, Dietrich, Roy, Ambuj, Rubagotti, Enrico, Ruhago, George Mugambage, Saadat, Soheil, Safdarian, Mahdi, Safiri, Saeid, Sagar, Rajesh, Sahathevan, Ramesh, Sahraian, Mohammad Ali, Salama, Joseph, Saleh, Muhammad Muhammad, Salomon, Joshua A, Salvi, Sundeep Santosh, Samy, Abdallah M, Sanabria, Juan Ramon, Sanchez-Niño, Maria Dolores, Santomauro, Damian, Santos, João Vasco, Santos, Itamar S, Santric Milicevic, Milena M, Sartorius, Benn, Satpathy, Maheswar, Sawhney, Monika, Saxena, Sonia, Schelonka, Kathryn, Schmidt, Maria Inês, Schneider, Ione J C, Schöttker, Ben, Schutte, Aletta E, Schwebel, David C, Schwendicke, Falk, Seedat, Soraya, Sepanlou, Sadaf G, Servan-Mori, Edson E, Shaheen, Amira, Shaikh, Masood Ali, Shamsipour, Mansour, Sharma, Rajesh, Sharma, Jayendra, She, Jun, Shi, Peilin, Shibuya, Kenji, Shields, Chloe, Shifa, Girma Temam, Shiferaw, Mekonnen Sisay, Shigematsu, Mika, Shiri, Rahman, Shirkoohi, Reza, Shirude, Shreya, Shishani, Kawkab, Shoman, Haitham, Siabani, Soraya, Sibai, Abla Mehio, Sigfusdottir, Inga Dora, Silberberg, Donald H, Silva, Diego Augusto Santos, Silva, João Pedro, Silveira, Dayane Gabriele Alves, Singh, Jasvinder A, Singh, Om Prakash, Singh, Narinder Pal, Singh, Virendra, Sinha, Dhirendra Narain, Skiadaresi, Eirini, Slepak, Erica Leigh, Smith, David L, Smith, Mari, Sobaih, Badr H A, Sobngwi, Eugene, Soljak, Michael, Sorensen, Reed J D, Sousa, Tatiane Cristina Moraes, Sposato, Luciano A, Sreeramareddy, Chandrashekhar T, Srinivasan, Vinay, Stanaway, Jeffrey D, Stathopoulou, Vasiliki, Steel, Nicholas, Stein, Dan J, Steiner, Caitlyn, Steinke, Sabine, Stokes, Mark Andrew, Stovner, Lars Jacob, Strub, Bryan, Subart, Michelle, Sufiyan, Muawiyyah Babale, Sunguya, Bruno F, Sur, Patrick J, Swaminathan, Soumya, Sykes, Bryan L, Sylte, Dillon, Szoeke, Cassandra E I, Tabarés-Seisdedos, Rafael, Tadakamadla, Santosh Kumar, Taffere, Getachew Redae, Takala, Jukka S, Tandon, Nikhil, Tanne, David, Tarekegn, Yihunie L, Tavakkoli, Mohammad, Taveira, Nuno, Taylor, Hugh R, Tegegne, Teketo Kassaw, Tehrani-Banihashemi, Arash, Tekelab, Tesfalidet, Terkawi, Abdullah Sulieman, Tesfaye, Dawit Jember, Tesssema, Belay, Thakur, JS, Thamsuwan, Ornwipa, Theadom, Alice M, Theis, Andrew M, Thomas, Katie E, Thomas, Nihal, Thompson, Robert, Thrift, Amanda G, Tobe-Gai, Ruoyan, Tobollik, Myriam, Tonelli, Marcello, Topor-Madry, Roman, Tortajada, Miguel, Touvier, Mathilde, Traebert, Jefferson, Tran, Bach Xuan, Troeger, Christopher, Truelsen, Thomas, Tsoi, Derrick, Tuzcu, Emin Murat, Tymeson, Hayley, Tyrovolas, Stefanos, Ukwaja, Kingsley Nnanna, Undurraga, Eduardo A, Uneke, Chigozie Jesse, Updike, Rachel, Uthman, Olalekan A, Uzochukwu, Benjamin S Chudi, van Boven, Job F M, Varughese, Santosh, Vasankari, Tommi, Veerman, Lennert J, Venkatesh, S, Venketasubramanian, Narayanaswamy, Vidavalur, Ramesh, Vijayakumar, Lakshmi, Violante, Francesco S, Vishnu, Abhishek, Vladimirov, Sergey K, Vlassov, Vasiliy Victorovich, Vollset, Stein Emil, Vos, Theo, Wadilo, Fiseha, Wakayo, Tolassa, Wallin, Mitchell T, Wang, Yuan-Pang, Weichenthal, Scott, Weiderpass, Elisabete, Weintraub, Robert G, Weiss, Daniel J, Werdecker, Andrea, Westerman, Ronny, Whiteford, Harvey A, Wijeratne, Tissa, Williams, Hywel C, Wiysonge, Charles Shey, Woldeyes, Belete Getahun, Wolfe, Charles D A, Woodbrook, Rachel, Woolf, Anthony D, Workicho, Abdulhalik, Xavier, Denis, Xu, Gelin, Yadgir, Simon, Yaghoubi, Mohsen, Yakob, Bereket, Yan, Lijing L, Yano, Yuichiro, Ye, Pengpeng, Yihdego, Mahari Gidey, Yimam, Hassen Hamid, Yip, Paul, Yonemoto, Naohiro, Yoon, Seok-Jun, Yotebieng, Marcel, Younis, Mustafa Z, Yu, Chuanhua, Zaidi, Zoubida, Zaki, Maysaa El Sayed, Zegeye, Elias Asfaw, Zenebe, Zerihun Menlkalew, Zhang, Xueying, Zheng, Yingfeng, Zhou, Maigeng, Zipkin, Ben, Zodpey, Sanjay, Zoeckler, Leo, Zuhlke, Liesl Joanna, and Murray, Christopher J L

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2017
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49. Global, regional, and national under-5 mortality, adult mortality, age-specific mortality, and life expectancy, 1970–2016: a systematic analysis for the Global Burden of Disease Study 2016

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Wang, Haidong, Abajobir, Amanuel Alemu, Abate, Kalkidan Hassen, Abbafati, Cristiana, Abbas, Kaja M, Abd-Allah, Foad, Abera, Semaw Ferede, Abraha, Haftom Niguse, Abu-Raddad, Laith J, Abu-Rmeileh, Niveen M E, Adedeji, Isaac Akinkunmi, Adedoyin, Rufus Adesoji, Adetifa, Ifedayo Morayo O, Adetokunboh, Olatunji, Afshin, Ashkan, Aggarwal, Rakesh, Agrawal, Anurag, Agrawal, Sutapa, Ahmad Kiadaliri, Aliasghar, Ahmed, Muktar Beshir, Aichour, Miloud Taki Eddine, Aichour, Amani Nidhal, Aichour, Ibthiel, Aiyar, Sneha, Akanda, Ali Shafqat, Akinyemiju, Tomi F, Akseer, Nadia, Al Lami, Faris Hasan, Alabed, Samer, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alam, Noore, Alasfoor, Deena, Aldridge, Robert William, Alene, Kefyalew Addis, Al-Eyadhy, Ayman, Alhabib, Samia, Ali, Raghib, Alizadeh-Navaei, Reza, Aljunid, Syed M, Alkaabi, Juma M, Alkerwi, Ala'a, Alla, François, Allam, Shalini D, Allebeck, Peter, Al-Raddadi, Rajaa, Alsharif, Ubai, Altirkawi, Khalid A, Alvis-Guzman, Nelson, Amare, Azmeraw T, Ameh, Emmanuel A, Amini, Erfan, Ammar, Walid, Amoako, Yaw Ampem, Anber, Nahla, Andrei, Catalina Liliana, Androudi, Sofia, Ansari, Hossein, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, Anwari, Palwasha, Ärnlöv, Johan, Arora, Megha, Artaman, Al, Aryal, Krishna Kumar, Asayesh, Hamid, Asgedom, Solomon Weldegebreal, Asghar, Rana Jawad, Assadi, Reza, Assaye, Ashagre Molla, Atey, Tesfay Mehari, Atre, Sachin R, Avila-Burgos, Leticia, Avokpaho, Euripide Frinel G Arthur, Awasthi, Ashish, Babalola, Tesleem Kayode, Bacha, Umar, Badawi, Alaa, Balakrishnan, Kalpana, Balalla, Shivanthi, Barac, Aleksandra, Barber, Ryan M, Barboza, Miguel A, Barker-Collo, Suzanne L, Bärnighausen, Till, Barquera, Simon, Barregard, Lars, Barrero, Lope H, Baune, Bernhard T, Bazargan-Hejazi, Shahrzad, Bedi, Neeraj, Beghi, Ettore, Béjot, Yannick, Bekele, Bayu Begashaw, Bell, Michelle L, Bello, Aminu K, Bennett, Derrick A, Bennett, James R, Bensenor, Isabela M, Benson, Jennifer, Berhane, Adugnaw, Berhe, Derbew Fikadu, Bernabé, Eduardo, Beuran, Mircea, Beyene, Addisu Shunu, Bhala, Neeraj, Bhansali, Anil, Bhaumik, Soumyadeep, Bhutta, Zulfiqar A, Bicer, Burcu Kucuk, Bidgoli, Hassan Haghparast, Bikbov, Boris, Birungi, Charles, Biryukov, Stan, Bisanzio, Donal, Bizuayehu, Habtamu Mellie, Bjerregaard, Peter, Blosser, Christopher D, Boneya, Dube Jara, Boufous, Soufiane, Bourne, Rupert R A, Brazinova, Alexandra, Breitborde, Nicholas J K, Brenner, Hermann, Brugha, Traolach S, Bukhman, Gene, Bulto, Lemma Negesa Bulto, Bumgarner, Blair Randal, Burch, Michael, Butt, Zahid A, Cahill, Leah E, Cahuana-Hurtado, Lucero, Campos-Nonato, Ismael Ricardo, Car, Josip, Car, Mate, Cárdenas, Rosario, Carpenter, David O, Carrero, Juan Jesus, Carter, Austin, Castañeda-Orjuela, Carlos A, Castro, Franz F, Castro, Ruben Estanislao, Catalá-López, Ferrán, Chen, Honglei, Chiang, Peggy Pei-Chia, Chibalabala, Mirriam, Chisumpa, Vesper Hichilombwe, Chitheer, Abdulaal A, Choi, Jee-Young Jasmine, Christensen, Hanne, Christopher, Devasahayam Jesudas, Ciobanu, Liliana G, Cirillo, Massimo, Cohen, Aaron J, Colquhoun, Samantha M, Coresh, Josef, Criqui, Michael H, Cromwell, Elizabeth A, Crump, John A, Dandona, Lalit, Dandona, Rakhi, Dargan, Paul I, das Neves, José, Davey, Gail, Davitoiu, Dragos V, Davletov, Kairat, de Courten, Barbora, De Leo, Diego, Degenhardt, Louisa, Deiparine, Selina, Dellavalle, Robert P, Deribe, Kebede, Deribew, Amare, Des Jarlais, Don C, Dey, Subhojit, Dharmaratne, Samath D, Dherani, Mukesh K, Diaz-Torné, Cesar, Ding, Eric L, Dixit, Priyanka, Djalalinia, Shirin, Do, Huyen Phuc, Doku, David Teye, Donnelly, Christl Ann, dos Santos, Kadine Priscila Bender, Douwes-Schultz, Dirk, Driscoll, Tim R, Duan, Leilei, Dubey, Manisha, Duncan, Bruce Bartholow, Dwivedi, Laxmi Kant, Ebrahimi, Hedyeh, El Bcheraoui, Charbel, Ellingsen, Christian Lycke, Enayati, Ahmadali, Endries, Aman Yesuf, Ermakov, Sergey Petrovich, Eshetie, Setegn, Eshrati, Babak, Eskandarieh, Sharareh, Esteghamati, Alireza, Estep, Kara, Fanuel, Fanuel Belayneh Bekele, Faro, André, Farvid, Maryam S, Farzadfar, Farshad, Feigin, Valery L, Fereshtehnejad, Seyed-Mohammad, Fernandes, Jefferson G, Fernandes, João C, Feyissa, Tesfaye Regassa, Filip, Irina, Fischer, Florian, Foigt, Nataliya, Foreman, Kyle J, Frank, Tahvi, Franklin, Richard C, Fraser, Maya, Friedman, Joseph, Frostad, Joseph J, Fullman, Nancy, Fürst, Thomas, Furtado, Joao M, Futran, Neal D, Gakidou, Emmanuela, Gambashidze, Ketevan, Gamkrelidze, Amiran, Gankpé, Fortuné Gbètoho, Garcia-Basteiro, Alberto L, Gebregergs, Gebremedhin Berhe, Gebrehiwot, Tsegaye Tewelde, Gebrekidan, Kahsu Gebrekirstos, Gebremichael, Mengistu Welday, Gelaye, Amha Admasie, Geleijnse, Johanna M, Gemechu, Bikila Lencha, Gemechu, Kasiye Shiferaw, Genova-Maleras, Ricard, Gesesew, Hailay Abrha, Gething, Peter W, Gibney, Katherine B, Gill, Paramjit Singh, Gillum, Richard F, Giref, Ababi Zergaw, Girma, Bedilu Weji, Giussani, Giorgia, Goenka, Shifalika, Gomez, Beatriz, Gona, Philimon N, Gopalani, Sameer Vali, Goulart, Alessandra Carvalho, Graetz, Nicholas, Gugnani, Harish Chander, Gupta, Prakash C, Gupta, Rahul, Gupta, Rajeev, Gupta, Tanush, Gupta, Vipin, Haagsma, Juanita A, Hafezi-Nejad, Nima, Hakuzimana, Alex, Halasa, Yara A, Hamadeh, Randah Ribhi, Hambisa, Mitiku Teshome, Hamidi, Samer, Hammami, Mouhanad, Hancock, Jamie, Handal, Alexis J, Hankey, Graeme J, Hao, Yuantao, Harb, Hilda L, Hareri, Habtamu Abera, Harikrishnan, Sivadasanpillai, Haro, Josep Maria, Hassanvand, Mohammad Sadegh, Havmoeller, Rasmus, Hay, Roderick J, Hay, Simon I, He, Fei, Heredia-Pi, Ileana Beatriz, Herteliu, Claudiu, Hilawe, Esayas Haregot, Hoek, Hans W, Horita, Nobuyuki, Hosgood, H Dean, Hostiuc, Sorin, Hotez, Peter J, Hoy, Damian G, Hsairi, Mohamed, Htet, Aung Soe, Hu, Guoqing, Huang, John J, Huang, Hsiang, Iburg, Kim Moesgaard, Igumbor, Ehimario Uche, Ileanu, Bogdan Vasile, Inoue, Manami, Irenso, Asnake Ararsa, Irvine, Caleb M S, Islam, Sheikh Mohammed Shariful, Islam, Nazrul, Jacobsen, Kathryn H, Jaenisch, Thomas, Jahanmehr, Nader, Jakovljevic, Mihajlo B, Javanbakht, Mehdi, Jayatilleke, Achala Upendra, Jeemon, Panniyammakal, Jensen, Paul N, Jha, Vivekanand, Jin, Ye, John, Denny, John, Oommen, Johnson, Sarah Charlotte, Jonas, Jost B, Jürisson, Mikk, Kabir, Zubair, Kadel, Rajendra, Kahsay, Amaha, Kalkonde, Yogeshwar, Kamal, Ritul, Kan, Haidong, Karch, André, Karema, Corine Kakizi, Karimi, Seyed M, Karthikeyan, Ganesan, Kasaeian, Amir, Kassaw, Nigussie Assefa, Kassebaum, Nicholas J, Kastor, Anshul, Katikireddi, Srinivasa Vittal, Kaul, Anil, Kawakami, Norito, Kazanjan, Konstantin, Keiyoro, Peter Njenga, Kelbore, Sefonias Getachew, Kemp, Andrew Haddon, Kengne, Andre Pascal, Keren, Andre, Kereselidze, Maia, Kesavachandran, Chandrasekharan Nair, Ketema, Ezra Belay, Khader, Yousef Saleh, Khalil, Ibrahim A, Khan, Ejaz Ahmad, Khan, Gulfaraz, Khang, Young-Ho, Khera, Sahil, Khoja, Abdullah Tawfih Abdullah, Khosravi, Mohammad Hossein, Kibret, Getiye Dejenu, Kieling, Christian, Kim, Yun Jin, Kim, Cho-il, Kim, Daniel, Kim, Pauline, Kim, Sungroul, Kimokoti, Ruth W, Kinfu, Yohannes, Kishawi, Sami, Kissoon, Niranjan, Kivimaki, Mika, Knudsen, Ann Kristin, Kokubo, Yoshihiro, Kopec, Jacek A, Kosen, Soewarta, Koul, Parvaiz A, Koyanagi, Ai, Kravchenko, Michael, Krohn, Kristopher J, Kuate Defo, Barthelemy, Kuipers, Ernst J, Kulikoff, Xie Rachel, Kulkarni, Veena S, Kumar, G Anil, Kumar, Pushpendra, Kumsa, Fekede Asefa, Kutz, Michael, Lachat, Carl, Lagat, Abraham K, Lager, Anton Carl Jonas, Lal, Dharmesh Kumar, Lalloo, Ratilal, Lambert, Nkurunziza, Lan, Qing, Lansingh, Van C, Larson, Heidi J, Larsson, Anders, Laryea, Dennis Odai, Lavados, Pablo M, Laxmaiah, Avula, Lee, Paul H, Leigh, James, Leung, Janni, Leung, Ricky, Levi, Miriam, Li, Yongmei, Liao, Yu, Liben, Misgan Legesse, Lim, Stephen S, Linn, Shai, Lipshultz, Steven E, Liu, Shiwei, Lodha, Rakesh, Logroscino, Giancarlo, Lorch, Scott A, Lorkowski, Stefan, Lotufo, Paulo A, Lozano, Rafael, Lunevicius, Raimundas, Lyons, Ronan A, Ma, Stefan, Macarayan, Erlyn RachelleKing, Machado, Isis Eloah, Mackay, Mark T, Magdy Abd El Razek, Mohammed, Magis-Rodriguez, Carlos, Mahdavi, Mahdi, Majdan, Marek, Majdzadeh, Reza, Majeed, Azeem, Malekzadeh, Reza, Malhotra, Rajesh, Malta, Deborah Carvalho, Mantovani, Lorenzo G, Manyazewal, Tsegahun, Mapoma, Chabila C, Marczak, Laurie B, Marks, Guy B, Martin, Elena Alvarez, Martinez-Raga, Jose, Martins-Melo, Francisco Rogerlândio, Massano, João, Maulik, Pallab K, Mayosi, Bongani M, Mazidi, Mohsen, McAlinden, Colm, McGarvey, Stephen Theodore, McGrath, John J, McKee, Martin, Mehata, Suresh, Mehndiratta, Man Mohan, Mehta, Kala M, Meier, Toni, Mekonnen, Tefera Chane, Meles, Kidanu Gebremariam, Memiah, Peter, Memish, Ziad A, Mendoza, Walter, Mengesha, Melkamu Merid, Mengistie, Mubarek Abera, Mengistu, Desalegn Tadese, Menon, Geetha R, Menota, Bereket Gebremichael, Mensah, George A, Meretoja, Tuomo J, Meretoja, Atte, Mezgebe, Haftay Berhane, Micha, Renata, Mikesell, Joseph, Miller, Ted R, Mills, Edward J, Minnig, Shawn, Mirarefin, Mojde, Mirrakhimov, Erkin M, Misganaw, Awoke, Mishra, Shiva Raj, Mohammad, Karzan Abdulmuhsin, Mohammadi, Alireza, Mohammed, Kedir Endris, Mohammed, Shafiu, Mohan, Murali B V, Mohanty, Sanjay K, Mokdad, Ali H, Mollenkopf, Sarah K, Molokhia, Mariam, Monasta, Lorenzo, Montañez Hernandez, Julio Cesar, Montico, Marcella, Mooney, Meghan D, Moore, Ami R, Moradi-Lakeh, Maziar, Moraga, Paula, Morawska, Lidia, Mori, Rintaro, Morrison, Shane D, Mruts, Kalayu Birhane, Mueller, Ulrich O, Mullany, Erin, Muller, Kate, Murthy, Gudlavalleti Venkata Satyanarayana, Murthy, Srinivas, Musa, Kamarul Imran, Nachega, Jean B, Nagata, Chie, Nagel, Gabriele, Naghavi, Mohsen, Naidoo, Kovin S, Nanda, Lipika, Nangia, Vinay, Nascimento, Bruno Ramos, Natarajan, Gopalakrishnan, Negoi, Ionut, Nguyen, Cuong Tat, Nguyen, Quyen Le, Nguyen, Trang Huyen, Nguyen, Grant, Ningrum, Dina Nur Anggraini, Nisar, Muhammad Imran, Nomura, Marika, Nong, Vuong Minh, Norheim, Ole F, Norrving, Bo, Noubiap, Jean Jacques N, Nyakarahuka, Luke, O'Donnell, Martin J, Obermeyer, Carla Makhlouf, Ogbo, Felix Akpojene, Oh, In-Hwan, Okoro, Anselm, Oladimeji, Olanrewaju, Olagunju, Andrew Toyin, Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Oren, Eyal, Ortiz, Alberto, Osgood-Zimmerman, Aaron, Ota, Erika, Owolabi, Mayowa O, Oyekale, Abayomi Samuel, PA, Mahesh, Pacella, Rosana E, Pakhale, Smita, Pana, Adrian, Panda, Basant Kumar, Panda-Jonas, Songhomitra, Park, Eun-Kee, Parsaeian, Mahboubeh, Patel, Tejas, Patten, Scott B, Patton, George C, Paudel, Deepak, Pereira, David M, Perez-Padilla, Rogelio, Perez-Ruiz, Fernando, Perico, Norberto, Pervaiz, Aslam, Pesudovs, Konrad, Peterson, Carrie Beth, Petri, William Arthur, Petzold, Max, Phillips, Michael Robert, Piel, Frédéric B, Pigott, David M, Pishgar, Farhad, Plass, Dietrich, Polinder, Suzanne, Popova, Svetlana, Postma, Maarten J, Poulton, Richie G, Pourmalek, Farshad, Prasad, Narayan, Purwar, Manorama, Qorbani, Mostafa, Quintanilla, Beatriz Paulina Ayala, Rabiee, Rynaz H S, Radfar, Amir, Rafay, Anwar, Rahimi-Movaghar, Afarin, Rahimi-Movaghar, Vafa, Rahman, Mohammad Hifz Ur, Rahman, Sajjad Ur, Rahman, Mahfuzar, Rai, Rajesh Kumar, Rajsic, Sasa, Ram, Usha, Rana, Saleem M, Ranabhat, Chhabi Lal, Rao, Paturi Vishnupriya, Rawaf, Salman, Ray, Sarah E, Rego, Maria Albertina Santiago, Rehm, Jürgen, Reiner, Robert C, Remuzzi, Giuseppe, Renzaho, Andre M N, Resnikoff, Serge, Rezaei, Satar, Rezai, Mohammad Sadegh, Ribeiro, Antonio L, Rivas, Jacqueline Castillo, Rokni, Mohammad Bagher, Ronfani, Luca, Roshandel, Gholamreza, Roth, Gregory A, Rothenbacher, Dietrich, Roy, Ambuj, Rubagotti, Enrico, Ruhago, George Mugambage, Saadat, Soheil, Sabde, Yogesh Damodar, Sachdev, Perminder S, Sadat, Nafis, Safdarian, Mahdi, Safi, Sare, Safiri, Saeid, Sagar, Rajesh, Sahathevan, Ramesh, Sahebkar, Amirhossein, Sahraian, Mohammad Ali, Salama, Joseph, Salamati, Payman, Salomon, Joshua A, Salvi, Sundeep Santosh, Samy, Abdallah M, Sanabria, Juan Ramon, Sanchez-Niño, Maria Dolores, Santos, Itamar S, Santric Milicevic, Milena M, Sarmiento-Suarez, Rodrigo, Sartorius, Benn, Satpathy, Maheswar, Sawhney, Monika, Saxena, Sonia, Saylan, Mete I, Schmidt, Maria Inês, Schneider, Ione J C, Schulhofer-Wohl, Sam, Schutte, Aletta E, Schwebel, David C, Schwendicke, Falk, Seedat, Soraya, Seid, Abdulbasit Musa, Sepanlou, Sadaf G, Servan-Mori, Edson E, Shackelford, Katya Anne, Shaheen, Amira, Shahraz, Saeid, Shaikh, Masood Ali, Shamsipour, Mansour, Shamsizadeh, Morteza, Sharma, Jayendra, Sharma, Rajesh, She, Jun, Shen, Jiabin, Shetty, Balakrishna P, Shi, Peilin, Shibuya, Kenji, Shifa, Girma Temam, Shigematsu, Mika, Shiri, Rahman, Shiue, Ivy, Shrime, Mark G, Sigfusdottir, Inga Dora, Silberberg, Donald H, Silpakit, Naris, Silva, Diego Augusto Santos, Silva, João Pedro, Silveira, Dayane Gabriele Alves, Sindi, Shireen, Singh, Jasvinder A, Singh, Prashant Kumar, Singh, Abhishek, Singh, Virendra, Sinha, Dhirendra Narain, Skarbek, Katarzyna A Kissimova, Skiadaresi, Eirini, Sligar, Amber, Smith, David L, Sobaih, Badr H A, Sobngwi, Eugene, Soneji, Samir, Soriano, Joan B, Sreeramareddy, Chandrashekhar T, Srinivasan, Vinay, Stathopoulou, Vasiliki, Steel, Nicholas, Stein, Dan J, Steiner, Caitlyn, Stöckl, Heidi, Stokes, Mark Andrew, Strong, Mark, Sufiyan, Muawiyyah Babale, Suliankatchi, Rizwan Abdulkader, Sunguya, Bruno F, Sur, Patrick J, Swaminathan, Soumya, Sykes, Bryan L, Szoeke, Cassandra E I, Tabarés-Seisdedos, Rafael, Tadakamadla, Santosh Kumar, Tadese, Fentaw, Tandon, Nikhil, Tanne, David, Tarajia, Musharaf, Tavakkoli, Mohammad, Taveira, Nuno, Tehrani-Banihashemi, Arash, Tekelab, Tesfalidet, Tekle, Dejen Yemane, Temsah, Mohamad-Hani, Terkawi, Abdullah Sulieman, Tesema, Cheru Leshargie, Tesssema, Belay, Theis, Andrew, Thomas, Nihal, Thompson, Alex H, Thomson, Alan J, Thrift, Amanda G, Tiruye, Tenaw Yimer, Tobe-Gai, Ruoyan, Tonelli, Marcello, Topor-Madry, Roman, Topouzis, Fotis, Tortajada, Miguel, Tran, Bach Xuan, Truelsen, Thomas, Trujillo, Ulises, Tsilimparis, Nikolaos, Tuem, Kald Beshir, Tuzcu, Emin Murat, Tyrovolas, Stefanos, Ukwaja, Kingsley Nnanna, Undurraga, Eduardo A, Uthman, Olalekan A, Uzochukwu, Benjamin S Chudi, van Boven, Job F M, Varakin, Yuri Y, Varughese, Santosh, Vasankari, Tommi, Vasconcelos, Ana Maria Nogales, Velasquez, Ilais Moreno, Venketasubramanian, Narayanaswamy, Vidavalur, Ramesh, Violante, Francesco S, Vishnu, Abhishek, Vladimirov, Sergey K, Vlassov, Vasiliy Victorovich, Vollset, Stein Emil, Vos, Theo, Waid, Jillian L, Wakayo, Tolassa, Wang, Yuan-Pang, Weichenthal, Scott, Weiderpass, Elisabete, Weintraub, Robert G, Werdecker, Andrea, Wesana, Joshua, Wijeratne, Tissa, Wilkinson, James D, Wiysonge, Charles Shey, Woldeyes, Belete Getahun, Wolfe, Charles D A, Workicho, Abdulhalik, Workie, Shimelash Bitew, Xavier, Denis, Xu, Gelin, Yaghoubi, Mohsen, Yakob, Bereket, Yalew, Ayalnesh Zemene, Yan, Lijing L, Yano, Yuichiro, Yaseri, Mehdi, Ye, Pengpeng, Yimam, Hassen Hamid, Yip, Paul, Yirsaw, Biruck Desalegn, Yonemoto, Naohiro, Yoon, Seok-Jun, Yotebieng, Marcel, Younis, Mustafa Z, Zaidi, Zoubida, Zaki, Maysaa El Sayed, Zeeb, Hajo, Zenebe, Zerihun Menlkalew, Zerfu, Taddese Alemu, Zhang, Anthony Lin, Zhang, Xueying, Zodpey, Sanjay, Zuhlke, Liesl Joanna, Lopez, Alan D, and Murray, Christopher J L

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2017
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50. Measuring progress and projecting attainment on the basis of past trends of the health-related Sustainable Development Goals in 188 countries: an analysis from the Global Burden of Disease Study 2016

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Fullman, Nancy, Barber, Ryan M, Abajobir, Amanuel Alemu, Abate, Kalkidan Hassen, Abbafati, Cristiana, Abbas, Kaja M, Abd-Allah, Foad, Abdulkader, Rizwan Suliankatchi, Abdulle, Abdishakur M, Abera, Semaw Ferede, Aboyans, Victor, Abu-Raddad, Laith J, Abu-Rmeileh, Niveen M E, Adedeji, Isaac Akinkunmi, Adetokunboh, Olatunji, Afshin, Ashkan, Agrawal, Anurag, Agrawal, Sutapa, Ahmad Kiadaliri, Aliasghar, Ahmadieh, Hamid, Ahmed, Muktar Beshir, Aichour, Miloud Taki Eddine, Aichour, Amani Nidhal, Aichour, Ibtihel, Aiyar, Sneha, Akinyemi, Rufus Olusola, Akseer, Nadia, Al-Aly, Ziyad, Alam, Khurshid, Alam, Noore, Alasfoor, Deena, Alene, Kefyalew Addis, Alizadeh-Navaei, Reza, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Allen, Christine, Al-Raddadi, Rajaa, Alsharif, Ubai, Altirkawi, Khalid A, Alvis-Guzman, Nelson, Amare, Azmeraw T, Amini, Erfan, Ammar, Walid, Ansari, Hossein, Antonio, Carl Abelardo T, Anwari, Palwasha, Arora, Megha, Artaman, Al, Aryal, Krishna Kumar, Asayesh, Hamid, Asgedom, Solomon Weldegebreal, Assadi, Reza, Atey, Tesfay Mehari, Atre, Sachin R, Avila-Burgos, Leticia, Avokpaho, Euripide Frinel G Arthur, Awasthi, Ashish, Azzopardi, Peter, Bacha, Umar, Badawi, Alaa, Balakrishnan, Kalpana, Bannick, Marlena S, Barac, Aleksandra, Barker-Collo, Suzanne L, Bärnighausen, Till, Barrero, Lope H, Basu, Sanjay, Battle, Katherine E, Baune, Bernhard T, Beardsley, Justin, Bedi, Neeraj, Beghi, Ettore, Béjot, Yannick, Bell, Michelle L, Bennett, Derrick A, Bennett, James R, Bensenor, Isabela M, Berhane, Adugnaw, Berhe, Derbew Fikadu, Bernabé, Eduardo, Betsu, Balem Demtsu, Beuran, Mircea, Beyene, Addisu Shunu, Bhala, Neeraj, Bhansali, Anil, Bhatt, Samir, Bhutta, Zulfiqar A, Bicer, Burcu Kucuk, Bidgoli, Hassan Haghparast, Bikbov, Boris, Bilal, Arebu I, Birungi, Charles, Biryukov, Stan, Bizuayehu, Habtamu Mellie, Blosser, Christopher D, Boneya, Dube Jara, Bose, Dipan, Bou-Orm, Ibrahim R, Brauer, Michael, Breitborde, Nicholas J K, Brugha, Traolach S, Bulto, Lemma Negesa Bulto, Butt, Zahid A, Cahuana-Hurtado, Lucero, Cameron, Ewan, Campuzano, Julio Cesar, Carabin, Hélène, Cárdenas, Rosario, Carrero, Juan Jesus, Carter, Austin, Casey, Daniel C, Castañeda-Orjuela, Carlos A, Castro, Ruben Estanislao, Catalá-López, Ferrán, Cercy, Kelly, Chang, Hsing-Yi, Chang, Jung-Chen, Charlson, Fiona J, Chew, Adrienne, Chisumpa, Vesper Hichilombwe, Chitheer, Abdulaal A, Christensen, Hanne, Christopher, Devasahayam Jesudas, Cirillo, Massimo, Cooper, Cyrus, Criqui, Michael H, Cromwell, Elizabeth A, Crump, John A, Dandona, Lalit, Dandona, Rakhi, Dargan, Paul I, das Neves, José, Davitoiu, Dragos V, de Courten, Barbora, De Steur, Hans, Defo, Barthelemy Kuate, Degenhardt, Louisa, Deiparine, Selina, Deribe, Kebede, deVeber, Gabrielle A, Ding, Eric L, Djalalinia, Shirin, Do, Huyen Phuc, Dokova, Klara, Doku, David Teye, Donkelaar, Aaron van, Dorsey, E Ray, Driscoll, Tim R, Dubey, Manisha, Duncan, Bruce Bartholow, Ebel, Beth E, Ebrahimi, Hedyeh, El-Khatib, Ziad Ziad, Enayati, Ahmadali, Endries, Aman Yesuf, Ermakov, Sergey Petrovich, Erskine, Holly E, Eshrati, Babak, Eskandarieh, Sharareh, Esteghamati, Alireza, Estep, Kara, Faraon, Emerito Jose Aquino, Farinha, Carla Sofia e Sa, Faro, André, Farzadfar, Farshad, Fazeli, Mir Sohail, Feigin, Valery L, Feigl, Andrea B, Fereshtehnejad, Seyed-Mohammad, Fernandes, João C, Ferrari, Alize J, Feyissa, Tesfaye Regassa, Filip, Irina, Fischer, Florian, Fitzmaurice, Christina, Flaxman, Abraham D, Foigt, Nataliya, Foreman, Kyle J, Frank, Tahvi, Franklin, Richard C, Friedman, Joseph, Frostad, Joseph J, Fürst, Thomas, Furtado, Joao M, Gakidou, Emmanuela, Garcia-Basteiro, Alberto L, Gebrehiwot, Tsegaye Tewelde, Geleijnse, Johanna M, Geleto, Ayele, Gemechu, Bikila Lencha, Gething, Peter W, Gibney, Katherine B, Gill, Paramjit Singh, Gillum, Richard F, Giref, Ababi Zergaw, Gishu, Melkamu Dedefo, Giussani, Giorgia, Glenn, Scott D, Godwin, William W, Goldberg, Ellen M, Gona, Philimon N, Goodridge, Amador, Gopalani, Sameer Vali, Goryakin, Yevgeniy, Griswold, Max, Gugnani, Harish Chander, Gupta, Rajeev, Gupta, Tanush, Gupta, Vipin, Hafezi-Nejad, Nima, Hailu, Gessessew Bugssa, Hamadeh, Randah Ribhi, Hammami, Mouhanad, Hankey, Graeme J, Harb, Hilda L, Hareri, Habtamu Abera, Hassanvand, Mohammad Sadegh, Havmoeller, Rasmus, Hawley, Caitlin, Hay, Simon I, He, Jiawei, Hendrie, Delia, Henry, Nathaniel J, Heredia-Pi, Ileana Beatriz, Hoek, Hans W, Holmberg, Mollie, Horita, Nobuyuki, Hosgood, H Dean, Hostiuc, Sorin, Hoy, Damian G, Hsairi, Mohamed, Htet, Aung Soe, Huang, John J, Huang, Hsiang, Huynh, Chantal, Iburg, Kim Moesgaard, Ikeda, Chad, Inoue, Manami, Irvine, Caleb Mackay Salpeter, Jacobsen, Kathryn H, Jahanmehr, Nader, Jakovljevic, Mihajlo B, Jauregui, Alejandra, Javanbakht, Mehdi, Jeemon, Panniyammakal, Jha, Vivekanand, John, Denny, Johnson, Catherine O, Johnson, Sarah Charlotte, Jonas, Jost B, Jürisson, Mikk, Kabir, Zubair, Kadel, Rajendra, Kahsay, Amaha, Kamal, Ritul, Karch, André, Karema, Corine Kakizi, Kasaeian, Amir, Kassebaum, Nicholas J, Kastor, Anshul, Katikireddi, Srinivasa Vittal, Kawakami, Norito, Keiyoro, Peter Njenga, Kelbore, Sefonias Getachew, Kemmer, Laura, Kengne, Andre Pascal, Kesavachandran, Chandrasekharan Nair, Khader, Yousef Saleh, Khalil, Ibrahim A, Khan, Ejaz Ahmad, Khang, Young-Ho, Khosravi, Ardeshir, Khubchandani, Jagdish, Kieling, Christian, Kim, Jun Y, Kim, Yun Jin, Kim, Daniel, Kimokoti, Ruth W, Kinfu, Yohannes, Kisa, Adnan, Kissimova-Skarbek, Katarzyna A, Kivimaki, Mika, Kokubo, Yoshihiro, Kopec, Jacek A, Kosen, Soewarta, Koul, Parvaiz A, Koyanagi, Ai, Kravchenko, Michael, Krohn, Kristopher J, Kulikoff, Xie Rachel, Kumar, G Anil, Kumar Lal, Dharmesh, Kutz, Michael J, Kyu, Hmwe H, Lalloo, Ratilal, Lansingh, Van C, Larsson, Anders, Lazarus, Jeffrey Victor, Lee, Paul H, Leigh, James, Leung, Janni, Leung, Ricky, Levi, Miriam, Li, Yongmei, Liben, Misgan Legesse, Linn, Shai, Liu, Patrick Y, Liu, Shiwei, Lodha, Rakesh, Looker, Katharine J, Lopez, Alan D, Lorkowski, Stefan, Lotufo, Paulo A, Lozano, Rafael, Lucas, Timothy C D, Lunevicius, Raimundas, Mackay, Mark T, Maddison, Emilie R, Magdy Abd El Razek, Hassan, Magdy Abd El Razek, Mohammed, Majdan, Marek, Majdzadeh, Reza, Majeed, Azeem, Malekzadeh, Reza, Malhotra, Rajesh, Malta, Deborah Carvalho, Mamun, Abdullah A, Manguerra, Helena, Mantovani, Lorenzo G, Manyazewal, Tsegahun, Mapoma, Chabila C, Marks, Guy B, Martin, Randall V, Martinez-Raga, Jose, Martins-Melo, Francisco Rogerlândio, Martopullo, Ira, Mathur, Manu Raj, Mazidi, Mohsen, McAlinden, Colm, McGaughey, Madeline, McGrath, John J, McKee, Martin, Mehata, Suresh, Mehndiratta, Man Mohan, Meier, Toni, Meles, Kidanu Gebremariam, Memish, Ziad A, Mendoza, Walter, Mengesha, Melkamu Merid, Mengistie, Mubarek Abera, Mensah, George A, Mensink, Gert B M, Mereta, Seid Tiku, Meretoja, Tuomo J, Meretoja, Atte, Mezgebe, Haftay Berhane, Micha, Renata, Millear, Anoushka, Miller, Ted R, Minnig, Shawn, Mirarefin, Mojde, Mirrakhimov, Erkin M, Misganaw, Awoke, Mishra, Shiva Raj, Mitchell, Philip B, Mohammad, Karzan Abdulmuhsin, Mohammed, Kedir Endris, Mohammed, Shafiu, Mohan, Murali B V, Mokdad, Ali H, Mollenkopf, Sarah K, Monasta, Lorenzo, Montañez Hernandez, Julio Cesar, Montico, Marcella, Moradi-Lakeh, Maziar, Moraga, Paula, Morawska, Lidia, Morrison, Shane D, Moses, Mark W, Mountjoy-Venning, Cliff, Mueller, Ulrich O, Muller, Kate, Murthy, Gudlavalleti Venkata Satyanarayana, Musa, Kamarul Imran, Naghavi, Mohsen, Naheed, Aliya, Naidoo, Kovin S, Nangia, Vinay, Natarajan, Gopalakrishnan, Negoi, Ruxandra Irina, Negoi, Ionut, Nguyen, Cuong Tat, Nguyen, Quyen Le, Nguyen, Trang Huyen, Nguyen, Grant, Nguyen, Minh, Nichols, Emma, Ningrum, Dina Nur Anggraini, Nomura, Marika, Nong, Vuong Minh, Norheim, Ole F, Noubiap, Jean Jacques N, Obermeyer, Carla Makhlouf, Ogbo, Felix Akpojene, Oh, In-Hwan, Oladimeji, Olanrewaju, Olagunju, Andrew Toyin, Olagunju, Tinuke Oluwasefunmi, Olivares, Pedro R, Olsen, Helen E, Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Ong, Kanyin, Oren, Eyal, Ortiz, Alberto, Owolabi, Mayowa O, PA, Mahesh, Pana, Adrian, Panda, Basant Kumar, Panda-Jonas, Songhomitra, Papachristou, Christina, Park, Eun-Kee, Patton, George C, Paulson, Katherine, Pereira, David M, Perico, David Norberto, Pesudovs, Konrad, Petzold, Max, Phillips, Michael Robert, Pigott, David M, Pillay, Julian David, Pinho, Christine, Piradov, Michael A, Pishgar, Farhad, Poulton, Richie G, Pourmalek, Farshad, Qorbani, Mostafa, Radfar, Amir, Rafay, Anwar, Rahimi-Movaghar, Vafa, Rahman, Mohammad Hifz Ur, Rahman, Muhammad Aziz, Rahman, Mahfuzar, Rai, Rajesh Kumar, Rajsic, Sasa, Ram, Usha, Ranabhat, Chhabi Lal, Rao, Puja C, Rawaf, Salman, Reidy, Patrick, Reiner, Robert C, Reinig, Nikolas, Reitsma, Marissa B, Remuzzi, Giuseppe, Renzaho, Andre M N, Resnikoff, Serge, Rezaei, Satar, Rios Blancas, Maria Jesus, Rivas, Jacqueline Castillo, Roba, Kedir Teji, Rojas-Rueda, David, Rokni, Mohammad Bagher, Roshandel, Gholamreza, Roth, Gregory A, Roy, Ambuj, Rubagotti, Enrico, Sadat, Nafis, Safdarian, Mahdi, Safi, Sare, Safiri, Saeid, Sagar, Rajesh, Salama, Joseph, Salomon, Joshua A, Samy, Abdallah M, Sanabria, Juan Ramon, Santomauro, Damian, Santos, Itamar S, Santos, João Vasco, Santric Milicevic, Milena M, Sartorius, Benn, Satpathy, Maheswar, Sawhney, Monika, Saxena, Sonia, Saylan, Mete I, Schmidt, Maria Inês, Schneider, Ione J C, Schneider, Matthew T, Schöttker, Ben, Schutte, Aletta E, Schwebel, David C, Schwendicke, Falk, Seedat, Soraya, Sepanlou, Sadaf G, Servan-Mori, Edson E, Shackelford, Katya Anne, Shaheen, Amira, Shahraz, Saeid, Shaikh, Masood Ali, Shamsipour, Mansour, Shamsizadeh, Morteza, Shariful Islam, Sheikh Mohammed, Sharma, Jayendra, Sharma, Rajesh, She, Jun, Shi, Peilin, Shibuya, Kenji, Shields, Chloe, Shifa, Girma Temam, Shiferaw, Mekonnen Sisay, Shigematsu, Mika, Shin, Min-Jeong, Shiri, Rahman, Shirkoohi, Reza, Shirude, Shreya, Shishani, Kawkab, Shoman, Haitham, Shrime, Mark G, Silberberg, Donald H, Silva, Diego Augusto Santos, Silva, João Pedro, Silveira, Dayane Gabriele Alves, Singh, Jasvinder A, Singh, Virendra, Sinha, Dhirendra Narain, Skiadaresi, Eirini, Slepak, Erica Leigh, Sligar, Amber, Smith, David L, Smith, Alison, Smith, Mari, Sobaih, Badr H A, Sobngwi, Eugene, Soljak, Michael, Soneji, Samir, Sorensen, Reed J D, Sposato, Luciano A, Sreeramareddy, Chandrashekhar T, Srinivasan, Vinay, Stanaway, Jeffrey D, Stein, Dan J, Steiner, Caitlyn, Steinke, Sabine, Stokes, Mark Andrew, Strub, Bryan, Sufiyan, Muawiyyah Babale, Sunguya, Bruno F, Sur, Patrick J, Swaminathan, Soumya, Sykes, Bryan L, Sylte, Dillon O, Szoeke, Cassandra E I, Tabarés-Seisdedos, Rafael, Tadakamadla, Santosh Kumar, Tandon, Nikhil, Tao, Tianchan, Tarekegn, Yihunie L, Tavakkoli, Mohammad, Taveira, Nuno, Tegegne, Teketo Kassaw, Terkawi, Abdullah Sulieman, Tessema, Gizachew Assefa, Thakur, JS, Thankappan, Kavumpurathu Raman, Thrift, Amanda G, Tiruye, Tenaw Yimer, Tobe-Gai, Ruoyan, Topor-Madry, Roman, Torre, Anna, Tortajada, Miguel, Tran, Bach Xuan, Troeger, Christopher, Truelsen, Thomas, Tsoi, Derrick, Tuem, Kald Beshir, Tuzcu, Emin Murat, Tyrovolas, Stefanos, Ukwaja, Kingsley N, Uneke, Chigozie Jesse, Updike, Rachel, Uthman, Olalekan A, van Boven, Job F M, Varughese, Santosh, Vasankari, Tommi, Venketasubramanian, Narayanaswamy, Vidavalur, Ramesh, Violante, Francesco S, Vladimirov, Sergey K, Vlassov, Vasiliy Victorovich, Vollset, Stein Emil, Vos, Theo, Wadilo, Fiseha, Wakayo, Tolassa, Wallin, Mitchell T, Wang, Yuan-Pang, Weichenthal, Scott, Weiderpass, Elisabete, Weintraub, Robert G, Weiss, Daniel J, Werdecker, Andrea, Westerman, Ronny, Whiteford, Harvey A, Wijeratne, Tissa, Wiysonge, Charles Shey, Woldeyes, Belete Getahun, Wolfe, Charles D A, Woodbrook, Rachel, Xavier, Denis, Xu, Gelin, Yadgir, Simon, Yakob, Bereket, Yan, Lijing L, Yano, Yuichiro, Yaseri, Mehdi, Ye, Pengpeng, Yimam, Hassen Hamid, Yip, Paul, Yonemoto, Naohiro, Yoon, Seok-Jun, Yotebieng, Marcel, Younis, Mustafa Z, Zaidi, Zoubida, Zaki, Maysaa El Sayed, Zavala-Arciniega, Luis, Zhang, Xueying, Zipkin, Ben, Zodpey, Sanjay, Lim, Stephen S, and Murray, Christopher J L

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2017
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