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1. Global, Regional, and Country-Specific Lifetime Risks of Stroke, 1990 and 2016

Author: Feigin, Valery L, Nguyen, Grant, Cercy, Kelly, Johnson, Catherine O, Alam, Tahiya, Parmar, Priyakumari G, Abajobir, Amanuel A, Abate, Kalkidan H, Abd-Allah, Foad, Abejie, Ayenew N, Abyu, Gebre Y, Ademi, Zanfina, Agarwal, Gina, Ahmed, Muktar B, Akinyemi, Rufus O, Al-Raddadi, Rajaa, Aminde, Leopold N, Amlie-Lefond, Catherine, Ansari, Hossein, Asayesh, Hamid, Asgedom, Solomon W, Atey, Tesfay M, Ayele, Henok T, Banach, Maciej, Banerjee, Amitava, Barac, Aleksandra, Barker-Collo, Suzanne L, Bärnighausen, Till, Barregard, Lars, Basu, Sanjay, Bedi, Neeraj, Behzadifar, Masoud, Béjot, Yannick, Bennett, Derrick A, Bensenor, Isabela M, Berhe, Derbew F, Boneya, Dube J, Brainin, Michael, Campos-Nonato, Ismael R, Caso, Valeria, Castañeda-Orjuela, Carlos A, Rivas, Jacquelin C, Catalá-López, Ferrán, Christensen, Hanne, Criqui, Michael H, Damasceno, Albertino, Dandona, Lalit, Dandona, Rakhi, Davletov, Kairat, de Courten, Barbora, deVeber, Gabrielle, Dokova, Klara, Edessa, Dumessa, Endres, Matthias, Faraon, Emerito JA, Farvid, Maryam S, Fischer, Florian, Foreman, Kyle, Forouzanfar, Mohammad H, Gall, Seana L, Gebrehiwot, Tsegaye T, Geleijnse, Johanna M, Gillum, Richard F, Giroud, Maurice, Goulart, Alessandra C, Gupta, Rahul, Gupta, Rajeev, Hachinski, Vladimir, Hamadeh, Randah R, Hankey, Graeme J, Hareri, Habtamu A, Havmoeller, Rasmus, Hay, Simon I, Hegazy, Mohamed I, Hibstu, Desalegn T, James, Spencer L, Jeemon, Panniyammakal, John, Denny, Jonas, Jost B, Jóźwiak, Jacek, Kalani, Rizwan, Kandel, Amit, Kasaeian, Amir, Kengne, Andre P, Khader, Yousef S, Khan, Abdur R, Khang, Young-Ho, Khubchandani, Jagdish, Kim, Daniel, Kim, Yun J, Kivimaki, Mika, Kokubo, Yoshihiro, Kolte, Dhaval, Kopec, Jacek A, Kosen, Soewarta, Kravchenko, Michael, Krishnamurthi, Rita, Kumar, G Anil, Lafranconi, Alessandra, and Lavados, Pablo M
Subjects: Aging, Brain Disorders, Stroke, Prevention, Aetiology, 2.4 Surveillance and distribution, Good Health and Well Being, Adult, Age Distribution, Aged, Aged, 80 and over, Cause of Death, Female, Global Burden of Disease, Global Health, Humans, Incidence, Male, Middle Aged, Risk, Sex Distribution, Socioeconomic Factors, GBD 2016 Lifetime Risk of Stroke Collaborators, Medical and Health Sciences, General & Internal Medicine
Abstract: BackgroundThe lifetime risk of stroke has been calculated in a limited number of selected populations. We sought to estimate the lifetime risk of stroke at the regional, country, and global level using data from a comprehensive study of the prevalence of major diseases.MethodsWe used the Global Burden of Disease (GBD) Study 2016 estimates of stroke incidence and the competing risks of death from any cause other than stroke to calculate the cumulative lifetime risks of first stroke, ischemic stroke, or hemorrhagic stroke among adults 25 years of age or older. Estimates of the lifetime risks in the years 1990 and 2016 were compared. Countries were categorized into quintiles of the sociodemographic index (SDI) used in the GBD Study, and the risks were compared across quintiles. Comparisons were made with the use of point estimates and uncertainty intervals representing the 2.5th and 97.5th percentiles around the estimate.ResultsThe estimated global lifetime risk of stroke from the age of 25 years onward was 24.9% (95% uncertainty interval, 23.5 to 26.2); the risk among men was 24.7% (95% uncertainty interval, 23.3 to 26.0), and the risk among women was 25.1% (95% uncertainty interval, 23.7 to 26.5). The risk of ischemic stroke was 18.3%, and the risk of hemorrhagic stroke was 8.2%. In high-SDI, high-middle-SDI, and low-SDI countries, the estimated lifetime risk of stroke was 23.5%, 31.1% (highest risk), and 13.2% (lowest risk), respectively; the 95% uncertainty intervals did not overlap between these categories. The highest estimated lifetime risks of stroke according to GBD region were in East Asia (38.8%), Central Europe (31.7%), and Eastern Europe (31.6%), and the lowest risk was in eastern sub-Saharan Africa (11.8%). The mean global lifetime risk of stroke increased from 22.8% in 1990 to 24.9% in 2016, a relative increase of 8.9% (95% uncertainty interval, 6.2 to 11.5); the competing risk of death from any cause other than stroke was considered in this calculation.ConclusionsIn 2016, the global lifetime risk of stroke from the age of 25 years onward was approximately 25% among both men and women. There was geographic variation in the lifetime risk of stroke, with the highest risks in East Asia, Central Europe, and Eastern Europe. (Funded by the Bill and Melinda Gates Foundation.).
Published: 2018

2. Global, Regional, and Country-Specific Lifetime Risks of Stroke, 1990 and 2016.

Author: GBD 2016 Lifetime Risk of Stroke Collaborators, Feigin, Valery L, Nguyen, Grant, Cercy, Kelly, Johnson, Catherine O, Alam, Tahiya, Parmar, Priyakumari G, Abajobir, Amanuel A, Abate, Kalkidan H, Abd-Allah, Foad, Abejie, Ayenew N, Abyu, Gebre Y, Ademi, Zanfina, Agarwal, Gina, Ahmed, Muktar B, Akinyemi, Rufus O, Al-Raddadi, Rajaa, Aminde, Leopold N, Amlie-Lefond, Catherine, Ansari, Hossein, Asayesh, Hamid, Asgedom, Solomon W, Atey, Tesfay M, Ayele, Henok T, Banach, Maciej, Banerjee, Amitava, Barac, Aleksandra, Barker-Collo, Suzanne L, Bärnighausen, Till, Barregard, Lars, Basu, Sanjay, Bedi, Neeraj, Behzadifar, Masoud, Béjot, Yannick, Bennett, Derrick A, Bensenor, Isabela M, Berhe, Derbew F, Boneya, Dube J, Brainin, Michael, Campos-Nonato, Ismael R, Caso, Valeria, Castañeda-Orjuela, Carlos A, Rivas, Jacquelin C, Catalá-López, Ferrán, Christensen, Hanne, Criqui, Michael H, Damasceno, Albertino, Dandona, Lalit, Dandona, Rakhi, Davletov, Kairat, de Courten, Barbora, deVeber, Gabrielle, Dokova, Klara, Edessa, Dumessa, Endres, Matthias, Faraon, Emerito JA, Farvid, Maryam S, Fischer, Florian, Foreman, Kyle, Forouzanfar, Mohammad H, Gall, Seana L, Gebrehiwot, Tsegaye T, Geleijnse, Johanna M, Gillum, Richard F, Giroud, Maurice, Goulart, Alessandra C, Gupta, Rahul, Gupta, Rajeev, Hachinski, Vladimir, Hamadeh, Randah R, Hankey, Graeme J, Hareri, Habtamu A, Havmoeller, Rasmus, Hay, Simon I, Hegazy, Mohamed I, Hibstu, Desalegn T, James, Spencer L, Jeemon, Panniyammakal, John, Denny, Jonas, Jost B, Jóźwiak, Jacek, Kalani, Rizwan, Kandel, Amit, Kasaeian, Amir, Kengne, Andre P, Khader, Yousef S, Khan, Abdur R, Khang, Young-Ho, Khubchandani, Jagdish, Kim, Daniel, Kim, Yun J, Kivimaki, Mika, Kokubo, Yoshihiro, Kolte, Dhaval, Kopec, Jacek A, Kosen, Soewarta, Kravchenko, Michael, Krishnamurthi, Rita, Kumar, G Anil, and Lafranconi, Alessandra
Subjects: GBD 2016 Lifetime Risk of Stroke Collaborators, Humans, Incidence, Cause of Death, Risk, Age Distribution, Sex Distribution, Socioeconomic Factors, Adult, Aged, Aged, 80 and over, Middle Aged, Female, Male, Stroke, Global Health, Global Burden of Disease, Brain Disorders, Aging, Prevention, 2.4 Surveillance and distribution, General & Internal Medicine, Medical and Health Sciences
Abstract: BackgroundThe lifetime risk of stroke has been calculated in a limited number of selected populations. We sought to estimate the lifetime risk of stroke at the regional, country, and global level using data from a comprehensive study of the prevalence of major diseases.MethodsWe used the Global Burden of Disease (GBD) Study 2016 estimates of stroke incidence and the competing risks of death from any cause other than stroke to calculate the cumulative lifetime risks of first stroke, ischemic stroke, or hemorrhagic stroke among adults 25 years of age or older. Estimates of the lifetime risks in the years 1990 and 2016 were compared. Countries were categorized into quintiles of the sociodemographic index (SDI) used in the GBD Study, and the risks were compared across quintiles. Comparisons were made with the use of point estimates and uncertainty intervals representing the 2.5th and 97.5th percentiles around the estimate.ResultsThe estimated global lifetime risk of stroke from the age of 25 years onward was 24.9% (95% uncertainty interval, 23.5 to 26.2); the risk among men was 24.7% (95% uncertainty interval, 23.3 to 26.0), and the risk among women was 25.1% (95% uncertainty interval, 23.7 to 26.5). The risk of ischemic stroke was 18.3%, and the risk of hemorrhagic stroke was 8.2%. In high-SDI, high-middle-SDI, and low-SDI countries, the estimated lifetime risk of stroke was 23.5%, 31.1% (highest risk), and 13.2% (lowest risk), respectively; the 95% uncertainty intervals did not overlap between these categories. The highest estimated lifetime risks of stroke according to GBD region were in East Asia (38.8%), Central Europe (31.7%), and Eastern Europe (31.6%), and the lowest risk was in eastern sub-Saharan Africa (11.8%). The mean global lifetime risk of stroke increased from 22.8% in 1990 to 24.9% in 2016, a relative increase of 8.9% (95% uncertainty interval, 6.2 to 11.5); the competing risk of death from any cause other than stroke was considered in this calculation.ConclusionsIn 2016, the global lifetime risk of stroke from the age of 25 years onward was approximately 25% among both men and women. There was geographic variation in the lifetime risk of stroke, with the highest risks in East Asia, Central Europe, and Eastern Europe. (Funded by the Bill and Melinda Gates Foundation.).
Published: 2018

3. 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

4. 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

5. 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

6. 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

7. 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

8. 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

9. Global, Regional, and National Burden of Cardiovascular Diseases for 10 Causes, 1990 to 2015

Author: Roth, Gregory A, Johnson, Catherine, Abajobir, Amanuel, Abd-Allah, Foad, Abera, Semaw Ferede, Abyu, Gebre, Ahmed, Muktar, Aksut, Baran, Alam, Tahiya, Alam, Khurshid, Alla, François, Alvis-Guzman, Nelson, Amrock, Stephen, Ansari, Hossein, Ärnlöv, Johan, Asayesh, Hamid, Atey, Tesfay Mehari, Avila-Burgos, Leticia, Awasthi, Ashish, Banerjee, Amitava, Barac, Aleksandra, Bärnighausen, Till, Barregard, Lars, Bedi, Neeraj, Ketema, Ezra Belay, Bennett, Derrick, Berhe, Gebremedhin, Bhutta, Zulfiqar, Bitew, Shimelash, Carapetis, Jonathan, Carrero, Juan Jesus, Malta, Deborah Carvalho, Castañeda-Orjuela, Carlos Andres, Castillo-Rivas, Jacqueline, Catalá-López, Ferrán, Choi, Jee-Young, Christensen, Hanne, Cirillo, Massimo, Cooper, Leslie, Criqui, Michael, Cundiff, David, Damasceno, Albertino, Dandona, Lalit, Dandona, Rakhi, Davletov, Kairat, Dharmaratne, Samath, Dorairaj, Prabhakaran, Dubey, Manisha, Ehrenkranz, Rebecca, Zaki, Maysaa El Sayed, Faraon, Emerito Jose A, Esteghamati, Alireza, Farid, Talha, Farvid, Maryam, Feigin, Valery, Ding, Eric L, Fowkes, Gerry, Gebrehiwot, Tsegaye, Gillum, Richard, Gold, Audra, Gona, Philimon, Gupta, Rajeev, Habtewold, Tesfa Dejenie, Hafezi-Nejad, Nima, Hailu, Tesfaye, Hailu, Gessessew Bugssa, Hankey, Graeme, Hassen, Hamid Yimam, Abate, Kalkidan Hassen, Havmoeller, Rasmus, Hay, Simon I, Horino, Masako, Hotez, Peter J, Jacobsen, Kathryn, James, Spencer, Javanbakht, Mehdi, Jeemon, Panniyammakal, John, Denny, Jonas, Jost, Kalkonde, Yogeshwar, Karimkhani, Chante, Kasaeian, Amir, Khader, Yousef, Khan, Abdur, Khang, Young-Ho, Khera, Sahil, Khoja, Abdullah T, Khubchandani, Jagdish, Kim, Daniel, Kolte, Dhaval, Kosen, Soewarta, Krohn, Kristopher J, Kumar, G Anil, Kwan, Gene F, Lal, Dharmesh Kumar, Larsson, Anders, Linn, Shai, Lopez, Alan, Lotufo, Paulo A, and Razek, Hassan Magdy Abd El
Subjects: Prevention, Cardiovascular, Burden of Illness, Heart Disease, Aging, Aetiology, 2.4 Surveillance and distribution, Good Health and Well Being, Adult, Aged, Cardiovascular Diseases, Cause of Death, Female, Global Health, Humans, Life Expectancy, Male, Middle Aged, Morbidity, Prevalence, Prospective Studies, Retrospective Studies, Risk Assessment, Risk Factors, Sex Distribution, Survival Rate, Young Adult, cause of death, epidemiology, global health, Cardiorespiratory Medicine and Haematology, Public Health and Health Services, Cardiovascular System & Hematology
Abstract: BackgroundThe burden of cardiovascular diseases (CVDs) remains unclear in many regions of the world.ObjectivesThe GBD (Global Burden of Disease) 2015 study integrated data on disease incidence, prevalence, and mortality to produce consistent, up-to-date estimates for cardiovascular burden.MethodsCVD mortality was estimated from vital registration and verbal autopsy data. CVD prevalence was estimated using modeling software and data from health surveys, prospective cohorts, health system administrative data, and registries. Years lived with disability (YLD) were estimated by multiplying prevalence by disability weights. Years of life lost (YLL) were estimated by multiplying age-specific CVD deaths by a reference life expectancy. A sociodemographic index (SDI) was created for each location based on income per capita, educational attainment, and fertility.ResultsIn 2015, there were an estimated 422.7 million cases of CVD (95% uncertainty interval: 415.53 to 427.87 million cases) and 17.92 million CVD deaths (95% uncertainty interval: 17.59 to 18.28 million CVD deaths). Declines in the age-standardized CVD death rate occurred between 1990 and 2015 in all high-income and some middle-income countries. Ischemic heart disease was the leading cause of CVD health lost globally, as well as in each world region, followed by stroke. As SDI increased beyond 0.25, the highest CVD mortality shifted from women to men. CVD mortality decreased sharply for both sexes in countries with an SDI >0.75.ConclusionsCVDs remain a major cause of health loss for all regions of the world. Sociodemographic change over the past 25 years has been associated with dramatic declines in CVD in regions with very high SDI, but only a gradual decrease or no change in most regions. Future updates of the GBD study can be used to guide policymakers who are focused on reducing the overall burden of noncommunicable disease and achieving specific global health targets for CVD.
Published: 2017

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

Author: Roth, Gregory A., Collaborotors, G. B. D.Causes Death, Abate, Degu, Abate, Kalkidan Hassen, Abay, Solomon M., Abbafati, Cristiana, Abbasi, Nooshin, Abbastabar, Hedayat, Abd-Allah, Load, 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, Adedoyin, Rufus Adesoji, Adekanmbi, Victor, Adookunboh, Olatunii, Adhena, Beyene Meressa, Adib, Mina G., Admasie, Aniha, Afshin, Ashkan, Agarwal, Gina, Agesa, Karelia M., Agrawal, Anurag, Agrawal, Sutapa, Ahmadi, Alireza, Ahmadi, Melidi, Ahmed, Muktar Beshir, Ahmed, Sayent, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Fddine, Akbari, Mohammad Esmaeil, Akinyeniti, Rufus Olusola, Akseer, Nadia, Al-Aly, Ziyad, Al-Eyadhy, Ayman, Al-Raddadi, Rajaa M., Alandab, Fares, Alam, Khurshid, Alam, Tahiya, Alebel, Animut, Alene, Kefyalew Addis, Alijanzadeh, Mehran, Alizadeh-Navaei, Reza, Aljunid, Syed Mohamed, Alkerwi, Ala'a, Alla, Francois, Allebeck, Peter, Alonso, Jordi, Altirkawi, Khalid, Alvis-Guzman, Nelson, Amare, Azmeraw T., Aminde, Leopold N., Amini, Erfan, Ammar, Walid, Amoako, Yaw Ampern, Anber, Nahla Hamed, Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Anjomshoa, Mina, Ansari, Hossein, Aniha, Mustafa Geleto, Antonio, Carl Abelardo T., Anwari, Palwasha, Aremu, Olatunde, Arnlov, Johan, Arora, Amit, Arora, Monika, Artaman, Al, Aryal, Krishna K., Asayesh, Hamid, Asfaw, Ephremi Tsegay, Ataro, Zerihun, Atique, Suleman, Atre, Sachin R., Ausloos, Marcel, Avokpaho, Euripide F. G. 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Reiner, Rc, Reitsma, Mb, Renzaho, Amn, Riahi, Sm, Ribeiro, Alp, Rios-Blancas, Mj, Roba, Kt, Roberts, Nl, Robinson, Sr, Sahraian, Ma, Saldanha, Rf, Sambala, Ez, Samy, Am, Sanchez-Niño, Md, Santomauro, Df, Santos, Jv, Milicevic, Mm, Sao Jose, Bp, Sarker, Ar, Sarmiento-Suárez, R, Sawant, Ar, Schmidt, Mi, Schneider, Ijc, Schöttker, B, Schutte, Ae, Schwebel, Dc, Scott, Jg, Sepanlou, Sg, Serván-Mori, E, Shackelford, Ka, Shaheen, Aa, Shaikh, Ma, Shrime, Mg, Siddiqi, Tj, Sigfusdottir, Id, Silberberg, Dh, Silva, Da, Silva, Jp, Silva, Ntd, Silveira, Dga, Singh, Ja, Singh, Np, Singh, Pk, Sinha, Dn, Sobaih, Bh, Sorensen, Rjd, Soriano, Jb, Soyiri, In, Sposato, La, Sreeramareddy, Ct, Stanaway, Jd, Starodubov, Vi, Stein, Dj, Stewart, Lg, Stokes, Ma, Subart, Ml, Sufiyan, Mb, Sur, Pj, Sykes, Bl, Sylaja, Pn, Sylte, Do, Szoeke, Cei, Tabarés-Seisdedos, R, Tadakamadla, Sk, Tassew, Sg, Tekalign, Tg, Tekle, Mg, Temsah, Mh, Teshale, My, Tessema, Ga, Thankappan, Kr, Thrift, Ag, Thurston, Gd, To, Qg, Torre, Ae, Tortajada-Girbés, M, Tovani-Palone, Mr, Tran, Bx, Tran, Kb, Troeger, Ce, Truelsen, Tc, Truong, Nt, Tsadik, Ag, Tuzcu, Em, Ukwaja, Kn, Undurraga, Ea, Updike, Rl, Uthman, Oa, Uzun, Sb, Valdez, Pr, Vasankari, Tj, Vladimirov, Sk, Vollset, Se, Wagner, Gr, Wallin, Mt, Walson, Jl, Wang, Yp, Wassie, Mm, Weintraub, Rg, Weldegwergs, Kg, Werkneh, Aa, West, Te, Whiteford, Ha, Wilner, Lb, Wolfe, Cda, Wu, Yc, Wyper, Gma, Yahyazadeh Jabbari, Sh, Yan, Ll, Yasin, Yj, Yentür, Gk, Yimer, Em, Yirsaw, Bd, Yoon, Sj, Younis, Mz, Zaman, Sb, Zeleke, Aj, Zenebe, Zm, Zhang, Al, Zuhlke, Lj, and Murray, Cjl.
Subjects: Adult, Male, Adolescent, national age-sex-specific mortality, UNITED-STATES, Global Health, Socioeconomic Factor, Global Burden of Disease, GBD, causes of death, Young Adult, Age Distribution, Life Expectancy, General & Internal Medicine, Cause of Death, PUBLIC-HEALTH PROBLEM, mortality, 282 causes global burden of disease, Sex Distribution, Child, Aged, Aged, 80 and over, BARRIERS, DEMENTIA, Medicine (all), Infant, Newborn, Infant, 11 Medical And Health Sciences, Middle Aged, TRENDS, PREVENTION, PREVALENCE, ALZHEIMERS-DISEASE, INDIVIDUALS, 3121 General medicine, internal medicine and other clinical medicine, Child, Preschool, REGISTRATION, Female, Human medicine, Human
Abstract: Background Global development goals increasingly rely on country-specific estimates for benchmarking a nation's progress. To meet this need, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2016 estimated global, regional, national, and, for selected locations, subnational cause-specific mortality beginning in the year 1980. Here we report an update to that study, making use of newly available data and improved methods. GBD 2017 provides a comprehensive assessment of cause-specific mortality for 282 causes in 195 countries and territories from 1980 to 2017. Methods The causes of death database is composed of vital registration (VR), verbal autopsy (VA), registry, survey, police, and surveillance data. GBD 2017 added ten VA studies, 127 country-years of VR data, 502 cancer-registry country-years, and an additional surveillance country-year. Expansions of the GBD cause of death hierarchy resulted in 18 additional causes estimated for GBD 2017. Newly available data led to subnational estimates for five additional countries Ethiopia, Iran, New Zealand, Norway, and Russia. Deaths assigned International Classification of Diseases (ICD) codes for non-specific, implausible, or intermediate causes of death were reassigned to underlying causes by redistribution algorithms that were incorporated into uncertainty estimation. We used statistical modelling tools developed for GBD, including the Cause of Death Ensemble model (CODErn), to generate cause fractions and cause specific death rates for each location, year, age, and sex. Instead of using UN estimates as in previous versions, GBD 2017 independently estimated population size and fertility rate for all locations. Years of life lost (YLLs) were then calculated as the sum of each death multiplied by the standard life expectancy at each age. All rates reported here are age-standardised. Findings At the broadest grouping of causes of death (Level 1), non-communicable diseases (NC Ds) comprised the greatest fraction of deaths, contributing to 73.4% (95% uncertainty interval [UI] 72.5-74.1) of total deaths in 2017, while communicable, maternal, neonatal, and nutritional (CMNN) causes accounted for 186% (17.9-19.6), and injuries 8.0% (7.7-8.2). Total numbers of deaths from NCD causes increased from 2007 to 2017 by 22.7% (21.5-23.9), representing an additional 7.61 million (7. 20-8.01) deaths estimated in 2017 versus 2007. The death rate from NCDs decreased globally by 7.9% (7.08.8). The number of deaths for CMNN causes decreased by 222% (20.0-24.0) and the death rate by 31.8% (30.1-33.3). Total deaths from injuries increased by 2.3% (0-5-4-0) between 2007 and 2017, and the death rate from injuries decreased by 13.7% (12.2-15.1) to 57.9 deaths (55.9-59.2) per 100 000 in 2017. Deaths from substance use disorders also increased, rising from 284 000 deaths (268 000-289 000) globally in 2007 to 352 000 (334 000-363 000) in 2017. Between 2007 and 2017, total deaths from conflict and terrorism increased by 118.0% (88.8-148.6). A greater reduction in total deaths and death rates was observed for some CMNN causes among children younger than 5 years than for older adults, such as a 36.4% (32.2-40.6) reduction in deaths from lower respiratory infections for children younger than 5 years compared with a 33.6% (31.2-36.1) increase in adults older than 70 years. Globally, the number of deaths was greater for men than for women at most ages in 2017, except at ages older than 85 years. Trends in global YLLs reflect an epidemiological transition, with decreases in total YLLs from enteric infections, respirator}, infections and tuberculosis, and maternal and neonatal disorders between 1990 and 2017; these were generally greater in magnitude at the lowest levels of the Socio-demographic Index (SDI). At the same time, there were large increases in YLLs from neoplasms and cardiovascular diseases. YLL rates decreased across the five leading Level 2 causes in all SDI quintiles. The leading causes of YLLs in 1990 neonatal disorders, lower respiratory infections, and diarrhoeal diseases were ranked second, fourth, and fifth, in 2017. Meanwhile, estimated YLLs increased for ischaemic heart disease (ranked first in 2017) and stroke (ranked third), even though YLL rates decreased. Population growth contributed to increased total deaths across the 20 leading Level 2 causes of mortality between 2007 and 2017. Decreases in the cause-specific mortality rate reduced the effect of population growth for all but three causes: substance use disorders, neurological disorders, and skin and subcutaneous diseases. Interpretation Improvements in global health have been unevenly distributed among populations. Deaths due to injuries, substance use disorders, armed conflict and terrorism, neoplasms, and cardiovascular disease are expanding threats to global health. For causes of death such as lower respiratory and enteric infections, more rapid progress occurred for children than for the oldest adults, and there is continuing disparity in mortality rates by sex across age groups. Reductions in the death rate of some common diseases are themselves slowing or have ceased, primarily for NCDs, and the death rate for selected causes has increased in the past decade. Copyright (C) 2018 The Author(s). Published by Elsevier Ltd.
Published: 2018

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

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Sayem, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Akanda, Ali S, Akbari, Mohammad Esmaeil, Akibu, Mohammed, Akinyemi, Rufus Olusola, Akinyemiju, Tomi, Akseer, Nadia, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alebel, Animut, Aleman, Alicia V, Alene, Kefyalew Addis, Al-Eyadhy, Ayman, Ali, Raghib, Alijanzadeh, Mehran, Alizadeh-Navaei, Reza, Aljunid, Syed Mohamed, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Almasi, Ali, Alonso, Jordi, Al-Raddadi, Rajaa M, Alsharif, Ubai, Altirkawi, Khalid, Alvis-Guzman, Nelson, Amare, Azmeraw T, Ammar, Walid, Anber, Nahla Hamed, Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Ansari, Hossein, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, Appiah, Seth Christopher Yaw, Aremu, Olatunde, Areri, Habtamu Abera, Arian, Nicholas, Ärnlöv, Johan, Artaman, Al, Aryal, Krishna K, Asayesh, Hamid, Asfaw, Ephrem Tsegay, Asgedom, Solomon Weldegebreal, Assadi, Reza, Atey, Tesfay Mehari Mehari, Atique, Suleman, 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Harb, H, Haro, J, Hassen, H, Hay, S, Hegazy, M, Henry, N, Hibstu, D, Hole, M, Hosgood, H, Hosseini, S, Hosseini Chavoshi, M, Huang, J, Iburg, K, Igumbor, E, Ikeda, C, Irenso, A, Irvani, S, Isehunwa, O, Islam, S, Jain, S, Jalu, M, James, S, Jassal, S, Jayatilleke, A, Jha, R, Jonas, J, Jozwiak, J, Jungari, S, Matin, B, Karimi, S, Kassa, D, Kassa, G, Kassa, T, Kassa, Z, Kassebaum, N, Katikireddi, S, Karyani, A, Keiyoro, P, Kemp, G, Kengne, A, Khafaie, M, Khalil, I, Khan, E, Khang, Y, Khater, M, Khoja, A, Khosravi, M, Kibret, G, Kidanemariam, Z, Kiirithio, D, Kilgore, P, Kim, J, Kim, Y, Kimokoti, R, Kopec, J, Kosek, M, Koul, P, Krohn, K, Defo, B, Bicer, B, Kumar, G, Kumsa, F, Kutz, M, Lad, S, Lal, D, Lami, F, Lang, J, Lansingh, V, Laryea, D, Lazarus, J, Lee, J, Lee, P, Leshargie, C, Liben, M, Lim, L, Limenih, M, Lotufo, P, Mabika, C, Macarayan, E, Mackay, M, Mahmood, T, Mahotra, N, Malik, M, Mamun, A, Manamo, W, Manda, A, Mansournia, M, Mantovani, L, Mapoma, C, Maravilla, J, Martins-Melo, F, Marzan, M, Mashamba-Thompson, T, Mason-Jones, A, Massenburg, B, Mathur, M, Maulik, P, Mcgrath, J, Mehendale, S, Mehndiratta, M, Mehta, K, Mekonnen, T, Meles, H, Meles, K, Memiah, P, Memish, Z, Mengesha, M, Mengistu, D, Mensah, G, Mereta, S, Meretoja, T, Mezgebe, H, Miller, T, Miller-Petrie, M, Mini, G, Mirrakhimov, E, Misganaw, A, Mohammad, K, Mohammed, M, Mokdad, A, Mola, G, Montañez, J, Morrison, S, Moschos, M, Mousavi, S, Muche, A, Muchie, K, Mueller, U, Murphy, T, Murthy, G, Musa, K, Nachega, J, Nansseu, J, Nascimento, B, Ncama, B, Negoi, R, Newton, C, Ngalesoni, F, Ngunjiri, J, Nguyen, L, Nguyen, T, Ningrum, D, Nirayo, Y, Nisar, M, Nixon, M, Noubiap, J, Nouri, H, Shiadeh, M, Nowroozi, M, Odell, C, Ogbo, F, Oh, I, Olagunju, A, Olagunju, T, Olivares, P, Olusanya, B, Olusanya, J, Ong, S, Otieno, B, Owolabi, M, Pakhare, A, Panda, B, Pandey, A, Park, E, Patil, S, Patton, G, Paturi, V, Pedroso, M, Peprah, E, Pereira, D, Petri, W, Pigott, D, Pillay, J, Polanczyk, G, Postma, M, Purcell, C, Purwar, M, Rahman, S, Rai, R, Ranabhat, C, Rawaf, D, Ray, S, Reiner, R, Renzaho, A, Riahi, S, Rios-Blancas, M, Roba, K, Roberts, N, Ruhago, G, Sabde, Y, Sahraian, M, Saldanha, R, Salomon, J, Sambala, E, Samy, A, Sanchez-Niño, M, Santric Milicevic, M, Sao Jose, B, Sarker, A, Sawant, A, Schneider, I, Schwebel, D, Sepanlou, S, Shackelford, K, Shaheen, A, Shaikh, M, Shakir, R, Shukla, S, Sibai, A, Siddiqi, T, Sigfusdottir, I, Silva, D, Silva, J, Silveira, D, Singam, N, Singh, J, Singh, N, Sinha, D, Soares Filho, A, Sobaih, B, Soriano, J, Soyiri, I, Sreeramareddy, C, Starodubov, V, Stewart, L, Stokes, M, Subart, M, Sufiyan, M, Sunguya, B, Sur, P, Sykes, B, Sylaja, P, Sylte, D, Szoeke, C, Tabb, K, Tadakamadla, S, Tassew, A, Tassew, S, Tawye, N, Tekalign, T, Tekle, M, Temsah, M, Teshale, M, Thankappan, K, Thomson, A, To, Q, Torre, A, Tovani-Palone, M, Tran, B, Tran, K, Tripathy, S, Truelsen, T, Truong, N, Tsadik, A, Ukwaja, K, Uthman, O, Uzun, S, Valdez, P, Vasankari, T, Vasconcelos, A, Vladimirov, S, Vollset, S, Walson, J, Weintraub, R, Weldegwergs, K, Wolfe, C, Wyper, G, Yasin, Y, Yentür, G, Yimer, E, Yoon, S, Younis, M, Zaman, S, Zeleke, M, Zenebe, Z, Zerfu, T, Zhao, X, Zimsen, S, Lopez, A, and Lim, S
Subjects: Adult, Male, Population Density, GBD, population, fertility, Adolescent, Medicine (all), Infant, Newborn, Infant, 11 Medical And Health Sciences, Middle Aged, Global Health, Global Burden of Disease, Young Adult, Child, Preschool, General & Internal Medicine, Female, Human medicine, Mortality, Child, Population Growth, Birth Rate, Aged, Human, Maternal Age
Abstract: Background Population estimates underpin demographic and epidemiological research and are used to track progress on numerous international indicators of health and development. To date, internationally available estimates of population and fertility, although useful, have not been produced with transparent and replicable methods and do not use standardised estimates of mortality. We present single-calendar year and single-year of age estimates of fertility and population by sex with standardised and replicable methods. Methods We estimated population in 195 locations by single year of age and single calendar year from 1950 to 2017 with standardised and replicable methods. We based the estimates on the demographic balancing equation, with inputs of fertility, mortality, population, and migration data. Fertility data came from 7817 location-years of vital registration data, 429 surveys reporting complete birth histories, and 977 surveys and censuses reporting summary birth histories. We estimated age-specific fertility rates (ASFRs; the annual number of livebirths to women of a specified age group per 1000 women in that age group) by use of spatiotemporal Gaussian process regression and used the ASFRs to estimate total fertility rates (TFRs; the average number of children a woman would bear if she survived through the end of the reproductive age span [age 10-54 years] and experienced at each age a particular set of ASFRs observed in the year of interest). Because of sparse data, fertility at ages 10-14 years and 50-54 years was estimated from data on fertility in women aged 15-19 years and 45-49 years, through use of linear regression. Age-specific mortality data came from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 estimates. Data on population came from 1257 censuses and 761 population registry location-years and were adjusted for underenumeration and age misreporting with standard demographic methods. Migration was estimated with the GBD Bayesian demographic balancing model, after incorporating information about refugee migration into the model prior. Final population estimates used the cohort-cotnponent method of population projection, with inputs of fertility, mortality, and migration data. Population uncertainty was estimated by use of out-of-sample predictive validity testing. With these data, we estimated the trends in population by age and sex and in fertility by age between 1950 and 2017 in 195 countries and territories. Findings From 1950 to 2017, TFRs decreased by 49.4% (95% uncertainty interval [UI] 46.4-52.0). The TFR decreased from 4.7 livebirths (4.5-4.9) to 2.4 livebirths (2.2-2.5), and the ASFR of mothers aged 10-19 years decreased from 37 livebirths (34-40) to 22 livebirths (19-24) per 1000 women. Despite reductions in the TFR, the global population has been increasing by an average of 83.8 million people per year since 1985. The global population increased by 197-2% (193.3-200.8) since 1950, from 2.6 billion (2.5-2.6) to 7.6 billion (7.4-7.9) people in 2017; much of this increase was in the proportion of the global population in south Asia and sub-Saharan Africa. The global annual rate of population growth increased between 1950 and 1964, when it peaked at 2.0%; this rate then remained nearly constant until 1970 and then decreased to 1.1% in 2017. Population growth rates in the southeast Asia, east Asia, and Oceania GBD super-region decreased from 2.5% in 1963 to O7% in 2017, whereas in sub-Saharan Africa, population growth rates were almost at the highest reported levels ever in 2017, when they were at 2.7%. The global average age increased from 26.6 years in 1950 to 32.1 years in 2017, and the proportion of the population that is of working age (age 15-64 years) increased from 59.9% to 65.3%. At the national level, the TFR decreased in all countries and territories between 1950 and 2017; in 2017, TFRs ranged from a low of 1.0 livebirths (95% UI 0. 9-1.2) in Cyprus to a high of 7.1 livebirths (6.8-7.4) in Niger. The TFR under age 25 years (TFU25; number of livebirths expected by age 25 years for a hypothetical woman who survived the age group and was exposed to current ASFRs) in 2017 ranged from 0.08 livebirths (0.07-0.09) in South Korea to 2.4 livebirths (2.2-2.6) in Niger, and the TFR over age 30 years (I F030; number of livebirths expected for a hypothetical woman ageing from 30 to 54 years who survived the age group and was exposed to current ASFRs) ranged from a low of 0.3 livebirths (0.3-0-4) in Puerto Rico to a high of 3.1 livebirths (3.0-3.2) in Niger. TF030 was higher than TFU25 in 145 countries and territories in 2017.33 countries had a negative population growth rate from 2010 to 2017, most of which were located in central, eastern, and western Europe, whereas population growth rates of more than 2.0% were seen in 33 of 46 countries in sub-Saharan Africa. In 2017, less than 65% of the national population was of working age in 12 of 34 high-income countries, and less than 50% of the national population was of working age in Mali, Chad, and Niger. Interpretation Population trends create demographic dividends and headwinds (ie, economic benefits and detriments) that affect national economies and determine national planning needs. Although TFRs are decreasing, the global population continues to grow as mortality declines, with diverse patterns at the national level and across age groups. To our knowledge, this is the first study to provide transparent and replicable estimates of population and fertility, which can be used to inform decision making and to monitor progress. Copyright (C) 2018 The Author(s). Published by Elsevier Ltd.
Published: 2018

12. Burden of lower respiratory infections in the Eastern Mediterranean Region between 1990 and 2015: findings from the Global Burden of Disease 2015 study

Author: Mokdad, Ali H, Moradi-Lakeh, Maziar, El Bcheraoui, Charbel, Charara, Raghid, Khalil, Ibrahim, Afshin, Ashkan, Kassebaum, Nicholas J, Collison, Michael, Daoud, Farah, Chew, Adrienne, Krohn, Kristopher J, Colombara, Danny, Ehrenkranz, Rebecca, Foreman, Kyle J, Frostad, Joseph, Godwin, William W, Kutz, Michael, Rao, Puja C, Reiner, Robert, Troeger, Christopher, Wang, Haidong, Abajobir, Amanuel Alemu, Abbas, Kaja M, Abera, Semaw Ferede, Abu-Raddad, Laith J, Adane, Kelemework, Kiadaliri, Aliasghar Ahmad, Ahmadi, Alireza, Beshir, Muktar, Al-Eyadhy, Ayman, Alam, Khurshid, Alam, Noore, Alasfoor, Deena, Alizadeh-Navaei, Reza, Al-Maskari, Fatma, Al-Raddadi, Rajaa, Alsharif, Ubai, Altirkawi, Khalid A, Anber, Nahla, Ansari, Hossein, Antonio, Carl Abelardo T, Anwari, Palwasha, Asayesh, Hamid, Asgedom, Solomon Weldegebreal, Atey, Tesfay Mehari, Arthur, Euripide Frinel G, Bacha, Umar, Barac, Aleksandra, Bazargan-Hejazi, Shahrzad, Drew, Charles R, Geffen, David, Bedi, Neeraj, Bhutta, Zulfiqar A, Michael, Brauer, Butt, Zahid A, Castaneda-Orjuela, Carlos A, Danawi, Hadi, Djalalinia, Shirin, Endries, Aman Yesuf, Eshrati, Babak, Farvid, Maryam S, Fereshtehnejad, Seyed-Mohammad, Fischer, Florian, Garcia-Basteiro, Alberto L, Gebrehiwot, Kiros Tedla, Gebrehiwot, Tsegaye Tewelde, Hailu, Gessessew Bugssa, Hamadeh, Randah Ribhi, Hambisa, Mitiku Teshome, Hamidi, Samer, Hassanvand, Mohammad Sadegh, Hedayati, Mohammad T, Horita, Nobuyuki, Husseini, Abdullatif, Spencer, Lewis James, Javanbakht, Mehdi, Jonas, Jost B, Kasaeian, Amir, Khader, Yousef Saleh, Khan, Ejaz Ahmad, Khan, Gulfaraz, Khoja, Abdullah Tawfih Abdullah, Khubchandani, Jagdish, Kim, Yun Jin, Kissoon, Niranjan, Larson, Heidi J, Latif, Asma Abdul, Leshargie, Cheru Tesema, Lunevicius, Raimundas, Abd El Razek, Hassan Magdy, Abd El Razek, Mohammed Magdy, Majdzadeh, Reza, Majeed, Azeem, Malekzadeh, Reza, Farid, Habibolah Masoudi, Mehari, Alem, Memish, Ziad A, Mengistu, Desalegn Tadese, Mensah, George A, Mezgebe, Haftay Berhane, Nakamura, Sachiko, Oren, Eyal, Pourmalek, Farshad, Qorbani, Mostafa, Radfar, Amir, Rafay, Anwar, Vafa, Rahimi-Movaghar, Rai, Rajesh Kumar, Rawaf, David Laith, Rawaf, Salman, Refaat, Amany H, Rezaei, Satar, Rezai, Mohammad Sadegh, Roba, Hirbo Shore, Roshandel, Gholamreza, Safdarian, Mahdi, Safiri, Saeid, Sahraian, Mohammad Ali, Salamati, Payman, Samy, Abdallah M, Sartorius, Benn, Sepanlou, Sadaf G, Shaikh, Masood Ali, Shamsizadeh, Morteza, Shigematsu, Mika, Singh, Jasvinder A, Sufiyan, Muawiyyah Babale, Tehrani-Banihashemi, Arash, Temsah, Mohamad-Hani, Topor-Madry, Roman, Uthman, Olalekan A, Vollset, Stein Emil, Wakayo, Tolassa, Werdecker, Andrea, Wijeratne, Tissa, Yaghoubi, Mohsen, Yimam, Hassen Hamid, Yonemoto, Naohiro, Younis, Mustafa Z, Zaki, Maysaa El Sayed, Jumaan, Aisha O, Vos, Theo, Naghavi, Mohsen, Hay, Simon I, Murray, Christopher JL, Reg, GBD 2015 Eastern Mediterranean, and Hay, S
Subjects: Adult, Male, medicine.medical_specialty, Health (social science), Adolescent, 030231 tropical medicine, Disease, Eastern, Global Health, Eastern Mediterranean Region, Global Burden of Disease, 03 medical and health sciences, Middle East, Young Adult, 0302 clinical medicine, Risk Factors, Environmental health, medicine, Global health, Humans, 030212 general & internal medicine, Mortality, Child, Respiratory Tract Infections, Aged, DALY, Respiratory tract infections, business.industry, Mediterranean Region, Public health, Incidence (epidemiology), Incidence, Public Health, Environmental and Occupational Health, Age Factors, Infant, Middle Aged, medicine.disease, Quality-adjusted life year, Lower respiratory infection, Malnutrition, 1117 Public Health And Health Services, Child, Preschool, Life expectancy, Female, Original Article, Quality-Adjusted Life Years, Public Health, business
Abstract: We used data from the Global Burden of Disease 2015 study (GBD) to calculate the burden of lower respiratory infections (LRIs) in the 22 countries of the Eastern Mediterranean Region (EMR) from 1990 to 2015. We conducted a systematic analysis of mortality and morbidity data for LRI and its specific etiologic factors, including pneumococcus, Haemophilus influenzae type b, Respiratory syncytial virus, and influenza virus. We used modeling methods to estimate incidence, deaths, and disability-adjusted life-years (DALYs). We calculated burden attributable to known risk factors for LRI. In 2015, LRIs were the fourth-leading cause of DALYs, causing 11,098,243 (95% UI 9,857,095-12,396,566) DALYs and 191,114 (95% UI 170,934-210,705) deaths. The LRI DALY rates were higher than global estimates in 2015. The highest and lowest age-standardized rates of DALYs were observed in Somalia and Lebanon, respectively. Undernutrition in childhood and ambient particulate matter air pollution in the elderly were the main risk factors. Our findings call for public health strategies to reduce the level of risk factors in each age group, especially vulnerable child and elderly populations. Horizon Pharmaceuticals; American College of Rheumatology's (ACR) Annual Meeting Planning Committee (AMPC); Veterans Affairs Rheumatology Field Advisory Committee; Chair of the ACR Meet-the-Professor, Workshop and Study Group Subcommittee Dr. Carl Abelardo T. Antonio reports Grants and personal fees from Johnson and Johnson (Philippines), Inc. outside the submitted work. Dr. Jasvinder Singh serves as the principal investigator for an investigator-initiated study funded by Horizon Pharmaceuticals through a grant to DINORA, Inc., a 501 (c)(3) entity. Dr. Singh is a member of the executive of OMERACT, an organization that develops outcome measures in rheumatology and receives arms-length funding from 36 companies; a member of the American College of Rheumatology's (ACR) Annual Meeting Planning Committee (AMPC); Chair of the ACR Meet-the-Professor, Workshop and Study Group Subcommittee; and a member of the Veterans Affairs Rheumatology Field Advisory Committee. Other authors have no conflict of interest.
Published: 2017
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13. 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: 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, De Steur, Hans, Gupta, Vipin, Sposato, Luciano A, Sreeramareddy, Chandrashekhar T, Srinivasan, Vinay, Nguyen, Quyen Le, Stanaway, Jeffrey D, Atre, Sachin R, Kim, Daniel, Criqui, Michael H, Aryal, Krishna Kumar, Ahmadieh, Hamid, Stein, Dan J, Steiner, Caitlyn, Steinke, Sabine, Stokes, Mark Andrew, Strub, Bryan, Aichour, Miloud Taki Eddine, Nguyen, Trang Huyen, Defo, Barthelemy Kuate, Sufiyan, Muawiyyah Babale, Dandona, Rakhi, Mantovani, Lorenzo G, Sunguya, Bruno F, Sur, Patrick J, Mazidi, Mohsen, Kimokoti, Ruth W, Swaminathan, Soumya, Sykes, Bryan L, Avila-Burgos, Leticia, Sylte, Dillon O, Nguyen, Grant, Schwebel, David C, Szoeke, Cassandra E I, Murthy, Gudlavalleti Venkata Satyanarayana, Tabarés-Seisdedos, Rafael, Hafezi-Nejad, Nima, Tadakamadla, Santosh Kumar, Degenhardt, Louisa, McAlinden, Colm, Tandon, Nikhil, Kinfu, Yohannes, Tao, Tianchan, Schwendicke, Falk, Tarekegn, Yihunie L, Giref, Ababi Zergaw, Ahmed, Muktar Beshir, Tavakkoli, Mohammad, Taveira, Nuno, Tegegne, Teketo Kassaw, Avokpaho, Euripide Frinel G Arthur, Terkawi, Abdullah Sulieman, Hailu, Gessessew Bugssa, Alla, François, Seedat, Soraya, Tessema, Gizachew Assefa, Thakur, JS, Alam, Khurshid, Rajsic, Sasa, Nguyen, Minh, Deiparine, Selina, Thankappan, Kavumpurathu Raman, Thrift, Amanda G, Tiruye, Tenaw Yimer, Tobe-Gai, Ruoyan, Martin, Randall V, Topor-Madry, Roman, Torre, Anna, McGaughey, Madeline, Tortajada, Miguel, Ram, Usha, Hamadeh, Randah Ribhi, Nichols, Emma, Awasthi, Ashish, Fürst, Thomas, Tran, Bach Xuan, Sepanlou, Sadaf G, Troeger, Christopher, Deribe, Kebede, Truelsen, Thomas, Tsoi, Derrick, Tuem, Kald Beshir, Ranabhat, Chhabi Lal, McGrath, John J, Tuzcu, Emin Murat, Majeed, Azeem, Tyrovolas, Stefanos, Servan-Mori, Edson E, Ukwaja, Kingsley N, Hammami, Mouhanad, Kisa, Adnan, Uneke, Chigozie Jesse, Updike, Rachel, Azzopardi, Peter, Rao, Puja C, Uthman, Olalekan A, Adetokunboh, Olatunji, McKee, Martin, Griswold, Max, Cárdenas, Rosario, van Boven, Job F M, Varughese, Santosh, Vasankari, Tommi, Venketasubramanian, Narayanaswamy, Vidavalur, Ramesh, Abu-Raddad, Laith J, Rawaf, Salman, Hankey, Graeme J, Violante, Francesco S, Altirkawi, Khalid A, Vladimirov, Sergey K, Vlassov, Vasiliy Victorovich, Ningrum, Dina Nur Anggraini, Mehata, Suresh, Vollset, Stein Emil, Bacha, Umar, deVeber, Gabrielle A, Vos, Theo, Antonio, Carl Abelardo T, Wadilo, Fiseha, Rafay, Anwar, Wakayo, Tolassa, Kissimova-Skarbek, Katarzyna A, Wallin, Mitchell T, Harb, Hilda L, Nomura, Marika, Wang, Yuan-Pang, Mehndiratta, Man Mohan, Weichenthal, Scott, Weiderpass, Elisabete, Khader, Yousef Saleh, Carrero, Juan Jesus, Weintraub, Robert G, Weiss, Daniel J, Werdecker, Andrea, Ding, Eric L, Badawi, Alaa, Kivimaki, Mika, Chitheer, Abdulaal A, Westerman, Ronny, Whiteford, Harvey A, Chang, Hsing-Yi, Shackelford, Katya Anne, Reidy, Patrick, Hareri, Habtamu Abera, Wijeratne, Tissa, Wiysonge, Charles Shey, Woldeyes, Belete Getahun, Wolfe, Charles D A, Woodbrook, Rachel, Xavier, Denis, Alvis-Guzman, Nelson, Xu, Gelin, Shaheen, Amira, Kokubo, Yoshihiro, Reiner, Robert C, Djalalinia, Shirin, Karema, Corine Kakizi, Yadgir, Simon, Balakrishnan, Kalpana, Hassanvand, Mohammad Sadegh, Yakob, Bereket, Yan, Lijing L, Yano, Yuichiro, Shahraz, Saeid, Nong, Vuong Minh, Yaseri, Mehdi, Musa, Kamarul Imran, Ye, Pengpeng, Yimam, Hassen Hamid, Kopec, Jacek A, Meier, Toni, Yip, Paul, Yonemoto, Naohiro, Do, Huyen Phuc, Shaikh, Masood Ali, Yoon, Seok-Jun, Butt, Zahid A, Norheim, Ole F, Geleto, Ayele, Yotebieng, Marcel, Bannick, Marlena S, Younis, Mustafa Z, Zaidi, Zoubida, Zaki, Maysaa El Sayed, Breitborde, Nicholas J K, Shamsipour, Mansour, Kosen, Soewarta, Zavala-Arciniega, Luis, Zhang, Xueying, Zipkin, Ben, Reinig, Nikolas, Noubiap, Jean Jacques N, Zodpey, Sanjay, Dokova, Klara, Havmoeller, Rasmus, Lim, Stephen S, Dargan, Paul I, Murray, Christopher J L, Barac, Aleksandra, Meles, Kidanu Gebremariam, Barker-Collo, Suzanne L, Koul, Parvaiz A, Reitsma, Marissa B, Bärnighausen, Till, Obermeyer, Carla Makhlouf, Barrero, Lope H, Basu, Sanjay, Martinez-Raga, Jose, Battle, Katherine E, Baune, Bernhard T, Beardsley, Justin, Hawley, Caitlin, Doku, David Teye, Memish, Ziad A, Goldberg, Ellen M, Bedi, Neeraj, Beghi, Ettore, Gishu, Melkamu Dedefo, Asayesh, Hamid, Koyanagi, Ai, Béjot, Yannick, Bell, Michelle L, Bennett, Derrick A, Bennett, James R, Bensenor, Isabela M, Berhane, Adugnaw, Cromwell, Elizabeth A, Berhe, Derbew Fikadu, Mendoza, Walter, Shamsizadeh, Morteza, Aichour, Amani Nidhal, Malekzadeh, Reza, Bernabé, Eduardo, Donkelaar, Aaron van, Kravchenko, Michael, Betsu, Balem Demtsu, Beuran, Mircea, Beyene, Addisu Shunu, Remuzzi, Giuseppe, Bhala, Neeraj, Ansari, Hossein, Bhansali, Anil, Bhatt, Samir, Mengesha, Melkamu Merid, Ogbo, Felix Akpojene, Bhutta, Zulfiqar A, Bicer, Burcu 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Kumar, Rajsic, Sasa, Ram, Usha, Ranabhat, Chhabi Lal, Rawaf, Salman, Reidy, Patrick, Reiner, Robert C., Reinig, Nikola, Reitsma, Marissa B., Remuzzi, Giuseppe, Renzaho, Andre M.N., Resnikoff, Serge, Rezaei, Satar, Blancas, Maria Jesus Rio, Roba, Kedir Teji, Rojas-Rueda, David, Rokni, Mohammad Bagher, Roshandel, Gholamreza, Roth, Gregory A., Roy, Ambuj, Rubagotti, Enrico, Sadat, Nafi, 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., Shirude, Shreya, Schmidt, Maria Inê, 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, Islam, Sheikh Mohammed Shariful, Sharma, Jayendra, Sharma, Rajesh, She, Jun, Shi, Peilin, Shibuya, Kenji, Shields, Chloe, Shiferaw, Mekonnen Sisay, Shigematsu, Mika, Shin, Min-Jeong, Shiri, Rahman, Shirkoohi, Reza, Shishani, Kawkab, Shoman, Haitham, Shrime, Mark G., Silberberg, Donald H., Silva, Diego Augusto Santo, Silva, João Pedro, Silveira, Dayane Gabriele Alve, Singh, Jasvinder A., Singh, Virendra, Sinha, Dhirendra Narain, Skiadaresi, Eirini, Slepak, Erica Leigh, Sligar, Amber, Smith, Alison, Smith, David L., 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, Abdulkader, Rizwan Suliankatchi, 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, Shifa, Girma Temam, Terkawi, Abdullah Sulieman, Tessema, Gizachew Assefa, Thakur, J.S., 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, Thoma, Tsoi, Derrick, Tuem, Kald Beshir, Tuzcu, Emin Murat, Tyrovolas, Stefano, Ukwaja, Kingsley N., Uneke, Chigozie Jesse, Updike, Rachel, Uthman, Olalekan A., Van Boven, Job F.M., Van Donkelaar, Aaron, 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, Deni, 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, El Sayed Zaki, Maysaa, Zavala-Arciniega, Lui, Zhang, Xueying, Zipkin, Ben, Zodpey, Sanjay, Lim, Stephen S., Murray, Christopher J.L., Fullman, N, Barber, R, Abajobir, A, Abate, K, Abbafati, C, Abbas, K, Abd-Allah, F, Abdulle, A, Abera, S, Aboyans, V, Abu-Raddad, L, Abu-Rmeileh, N, Adedeji, I, Adetokunboh, O, Afshin, A, Agrawal, A, Agrawal, S, Kiadaliri, A, Ahmadieh, H, Ahmed, M, Aichour, A, Aichour, I, Aichour, M, Aiyar, S, Akinyemi, R, Akseer, N, Al-Aly, Z, Alam, K, Alam, N, Alasfoor, D, Alene, K, Alizadeh-Navaei, R, Alkerwi, A, Alla, F, Allebeck, P, Allen, C, Al-Raddadi, R, Alsharif, U, Altirkawi, K, Alvis-Guzman, N, Amare, A, Amini, E, Ammar, W, Antonio, C, Ansari, H, Anwari, P, Arora, M, Artaman, A, Aryal, K, Asayesh, H, Asgedom, S, Assadi, R, Atey, T, Atre, S, Avila-Burgos, L, Arthur Avokpaho, E, Awasthi, A, Azzopardi, P, Bacha, U, Badawi, A, Balakrishnan, K, Bannick, M, Barac, A, Barker-Collo, S, Bärnighausen, T, Barrero, L, Basu, S, Battle, K, Baune, B, Beardsley, J, Bedi, N, Beghi, E, Béjot, Y, Bell, M, Bennett, D, Bennett, J, Bensenor, I, Berhane, A, Berhe, D, Bernabé, E, Betsu, B, Beuran, M, Beyene, A, Bhala, N, Bhansali, A, Bhatt, S, Bhutta, Z, Bikbov, B, Bilal, A, Birungi, C, Biryukov, S, Bizuayehu, H, Blosser, C, Boneya, D, Bose, D, Bou-Orm, I, Brauer, M, Breitborde, N, Brugha, T, Bulto, L, Butt, Z, Cahuana-Hurtado, L, Cameron, E, Campuzano, J, Carabin, H, Cárdenas, R, Carrero, J, Carter, A, Casey, D, Castañeda-Orjuela, C, Rivas, J, Castro, R, Catalá-López, F, Cercy, K, Chang, H, Chang, J, Charlson, F, Chew, A, Chisumpa, V, Chitheer, A, Christensen, H, Christopher, D, Cirillo, M, Cooper, C, Criqui, M, Cromwell, E, Crump, J, Dandona, L, Dandona, R, Dargan, P, Das Neves, J, Davitoiu, D, De Courten, B, De Steur, H, Degenhardt, L, Deiparine, S, Deribe, K, Deveber, G, Ding, E, Djalalinia, S, Do, H, Dokova, K, Doku, D, Dorsey, E, Driscoll, T, Dubey, M, Duncan, B, Ebel, B, Ebrahimi, H, El-Khatib, Z, Enayati, A, Endries, A, Ermakov, S, Erskine, H, Eshrati, B, Eskandarieh, S, Esteghamati, A, Estep, K, Faraon, E, Sofia E Sa Farinha, C, Faro, A, Farzadfar, F, Fazeli, M, Feigin, V, Feigl, A, Fereshtehnejad, S, Fernandes, J, Ferrari, A, Feyissa, T, Filip, I, Fischer, F, Fitzmaurice, C, Flaxman, A, Foigt, N, Foreman, K, Frank, T, Franklin, R, Friedman, J, Frostad, J, Fürst, T, Furtado, J, Gakidou, E, Garcia-Basteiro, A, Gebrehiwot, T, Geleijnse, J, Geleto, A, Gemechu, B, Gething, P, Gibney, K, Gill, P, Gillum, R, Giref, A, Gishu, M, Giussani, G, Glenn, S, Godwin, W, Goldberg, E, Gona, P, Goodridge, A, Gopalani, S, Goryakin, Y, Griswold, M, Gugnani, H, Gupta, R, Gupta, T, Gupta, V, Hafezi-Nejad, N, Bidgoli, H, Hailu, G, Hamadeh, R, Hammami, M, Hankey, G, Harb, H, Hareri, H, Hassanvand, M, Havmoeller, R, Hawley, C, Hay, S, He, J, Hendrie, D, Henry, N, Heredia-Pi, I, Hoek, H, Holmberg, M, Horita, N, Hosgood, H, Hostiuc, S, Hoy, D, Hsairi, M, Htet, A, Huang, H, Huang, J, Huynh, C, Iburg, K, Ikeda, C, Inoue, M, Irvine, C, Jacobsen, K, Jahanmehr, N, Jakovljevic, M, Jauregui, A, Javanbakht, M, Jeemon, P, Jha, V, John, D, Johnson, C, Johnson, S, Jonas, J, Jürisson, M, Kabir, Z, Kadel, R, Kahsay, A, Kamal, R, Karch, A, Karema, C, Kasaeian, A, Kassebaum, N, Kastor, A, Katikireddi, S, Kawakami, N, Keiyoro, P, Kelbore, S, Kemmer, L, Kengne, A, Kesavachandran, C, Khader, Y, Khalil, I, Khan, E, Khang, Y, Khosravi, A, Khubchandani, J, Kieling, C, Kim, D, Kim, J, Kim, Y, Kimokoti, R, Kinfu, Y, Kisa, A, Kissimova-Skarbek, K, Kivimaki, M, Kokubo, Y, Kopec, J, Kosen, S, Koul, P, Koyanagi, A, Kravchenko, M, Krohn, K, Defo, B, Bicer, B, Kulikoff, X, Kumar, G, Kutz, M, Kyu, H, Lal, D, Lalloo, R, Lansingh, V, Larsson, A, Lazarus, J, Lee, P, Leigh, J, Leung, J, Leung, R, Levi, M, Li, Y, Liben, M, Linn, S, Liu, P, Liu, S, Lodha, R, Looker, K, Lopez, A, Lorkowski, S, Lotufo, P, Lozano, R, Lucas, T, Lunevicius, R, Mackay, M, Maddison, E, El Razek, H, El Razek, M, Majdan, M, Majdzadeh, R, Majeed, A, Malekzadeh, R, Malhotra, R, Malta, D, Mamun, A, Manguerra, H, Mantovani, L, Manyazewal, T, Mapoma, C, Marks, G, Martin, R, Martinez-Raga, J, Martins-Melo, F, Martopullo, I, Mathur, M, Mazidi, M, Mcalinden, C, Mcgaughey, M, Mcgrath, J, Mckee, M, Mehata, S, Mehndiratta, M, Meier, T, Meles, K, Memish, Z, Mendoza, W, Mengesha, M, Mengistie, M, Mensah, G, Mensink, G, Mereta, S, Meretoja, A, Meretoja, T, Mezgebe, H, Micha, R, Millear, A, Miller, T, Minnig, S, Mirarefin, M, Mirrakhimov, E, Misganaw, A, Mishra, S, Mitchell, P, Mohammad, K, Mohammed, K, Mohammed, S, Mohan, M, Mokdad, A, Mollenkopf, S, Monasta, L, Hernandez, J, Montico, M, Moradi-Lakeh, M, Moraga, P, Morawska, L, Morrison, S, Moses, M, Mountjoy-Venning, C, Mueller, U, Muller, K, Murthy, G, Musa, K, Naghavi, M, Naheed, A, Naidoo, K, Nangia, V, Natarajan, G, Negoi, I, Negoi, R, Nguyen, C, Nguyen, G, Nguyen, M, Nguyen, Q, Nguyen, T, Nichols, E, Ningrum, D, Nomura, M, Nong, V, Norheim, O, Noubiap, J, Obermeyer, C, Ogbo, F, Oh, I, Oladimeji, O, Olagunju, A, Olagunju, T, Olivares, P, Olsen, H, Olusanya, B, Olusanya, J, Ong, K, Oren, E, Ortiz, A, Owolabi, M, Mahesh, P, Pana, A, Panda, B, Panda-Jonas, S, Papachristou, C, Park, E, Patton, G, Paulson, K, Pereira, D, Perico, D, Pesudovs, K, Petzold, M, Phillips, M, Pigott, D, Pillay, J, Pinho, C, Piradov, M, Pishgar, F, Poulton, R, Pourmalek, F, Qorbani, M, Radfar, A, Rafay, A, Rao, P, Rahimi-Movaghar, V, Rahman, M, Ur Rahman, M, Rai, R, Rajsic, S, Ram, U, Ranabhat, C, Rawaf, S, Reidy, P, Reiner, R, Reinig, N, Reitsma, M, Remuzzi, G, Renzaho, A, Resnikoff, S, Rezaei, S, Blancas, M, Roba, K, Rojas-Rueda, D, Rokni, M, Roshandel, G, Roth, G, Roy, A, Rubagotti, E, Sadat, N, Safdarian, M, Safi, S, Safiri, S, Sagar, R, Salama, J, Salomon, J, Samy, A, Sanabria, J, Santomauro, D, Santos, I, Santos, J, Santric Milicevic, M, Sartorius, B, Satpathy, M, Sawhney, M, Saxena, S, Saylan, M, Shirude, S, Schmidt, M, Schneider, I, Schneider, M, Schöttker, B, Schutte, A, Schwebel, D, Schwendicke, F, Seedat, S, Sepanlou, S, Servan-Mori, E, Shackelford, K, Shaheen, A, Shahraz, S, Shaikh, M, Shamsipour, M, Shamsizadeh, M, Islam, S, Sharma, J, Sharma, R, She, J, Shi, P, Shibuya, K, Shields, C, Shiferaw, M, Shigematsu, M, Shin, M, Shiri, R, Shirkoohi, R, Shishani, K, Shoman, H, Shrime, M, Silberberg, D, Silva, D, Silva, J, Silveira, D, Singh, J, Singh, V, Sinha, D, Skiadaresi, E, Slepak, E, Sligar, A, Smith, A, Smith, D, Smith, M, Sobaih, B, Sobngwi, E, Soljak, M, Soneji, S, Sorensen, R, Sposato, L, Sreeramareddy, C, Srinivasan, V, Stanaway, J, Stein, D, Steiner, C, Steinke, S, Stokes, M, Strub, B, Sufiyan, M, Abdulkader, R, Sunguya, B, Sur, P, Swaminathan, S, Sykes, B, Sylte, D, Szoeke, C, Tabarés-Seisdedos, R, Tadakamadla, S, Tandon, N, Tao, T, Tarekegn, Y, Tavakkoli, M, Taveira, N, Tegegne, T, Shifa, G, Terkawi, A, Tessema, G, Thakur, J, Thankappan, K, Thrift, A, Tiruye, T, Tobe-Gai, R, Topor-Madry, R, Torre, A, Tortajada, M, Tran, B, Troeger, C, Truelsen, T, Tsoi, D, Tuem, K, Tuzcu, E, Tyrovolas, S, Ukwaja, K, Uneke, C, Updike, R, Uthman, O, Van Boven, J, Van Donkelaar, A, Varughese, S, Vasankari, T, Venketasubramanian, N, Vidavalur, R, Violante, F, Vladimirov, S, Vlassov, V, Vollset, S, Vos, T, Wadilo, F, Wakayo, T, Wallin, M, Wang, Y, Weichenthal, S, Weiderpass, E, Weintraub, R, Weiss, D, Werdecker, A, Westerman, R, Whiteford, H, Wijeratne, T, Wiysonge, C, Woldeyes, B, Wolfe, C, Woodbrook, R, Xavier, D, Xu, G, Yadgir, S, Yakob, B, Yan, L, Yano, Y, Yaseri, M, Ye, P, Yimam, H, Yip, P, Yonemoto, N, Yoon, S, Yotebieng, M, Younis, M, Zaidi, Z, El Sayed Zaki, M, Zavala-Arciniega, L, Zhang, X, Zipkin, B, Zodpey, S, Lim, S, and Murray, C
Subjects: Adult, Male, Adolescent, DEVELOPMENT ASSISTANCE, Global Health, projection indicators to 2030, CHINA, Global Burden of Disease, Health Statu, MEXICO, Noncommunicable Disease, Young Adult, SYSTEMS, Quality-Adjusted Life Year, General & Internal Medicine, Infant Mortality, Medicine and Health Sciences, Conservation of Natural Resource, gains and gaps for the health-related SDGs,annualized rates of change, projection indicators to 2030, Health Status Indicator, annualized rates of change, Child, Medicine (all), MORTALITY, Infant, Newborn, Infant, Child Abuse, Sexual, Middle Aged, PREPAID PRIVATE, CARE, COVERAGE, Sex Offense, Child, Preschool, Female, 40-PERCENT, GOVERNMENT, gains and gaps for the health-related SDGs, Human
Abstract: Background The 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. Methods We 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. Findings Globally, 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. Interpretation GBD 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. Copyright The Authors. Published by Elsevier Ltd. This is an Open Access article published under the CC BY 4.0 license.
Published: 2017

14. Sleep Quality in Medical Students; the Impact of Over-Use of Mobile CellPhone and Social Networks

Author: Mohammadbeigi, Abolfazl, Absari, Rozita, Valizadeh, Farzaneh, Saadati, Mohammadreza, Sharifimoghadam, Soroush, Ahmadi, Ali, Mokhtari, Mohsen, and Ansari, Hossein
Subjects: Adult, Male, Students, Medical, Social Support, Mobile Addiction, Iran, Behavior, Addictive, Habits, Young Adult, Cross-Sectional Studies, Social Networks, Internet Addiction, Sleep Initiation and Maintenance Disorders, Surveys and Questionnaires, Humans, Original Article, Female, Cell-Phone Over-Use, Sleep, Students, Social Media, Cell Phone
Abstract: Background: Poor sleep quality is closely associated with lifestyle habits including use of mobile cell-phones. This study aimed to identify the relationship between sleep quality due to abuse in mobile cell-phones and engagement in social networks. Methods: This cross-sectional study was conducted on 380 undergraduate students selected by proportional stratified sampling in Qom, Iran in 2015. Data were collected by two statndard questionnaire including Cell-Phone Over-Use Scale (COS) and Pittsburgh sleep quality questionnaire beside the status of usage in cell-phone social networks. T-test, chi-square, Pearson correlation coefficient and multivariate logistic regression were used in data analysis. Results: The mean age of participants was 21.8 ±3.2 yr, 69.1% were female, and 11.7% were married. The mean of COS and sleep quality scores were 48.18 ±17.5 and 5.38 ±2.31, respectively. The prevalence of over-use of cell phone was 10.7% (CI 0.95; 8.8%, 12.6%) and the prevalence of poor sleep quality was 61.7% (CI 0.95; 57.1%, 66.3%). The mean of all aspects and total score of sleep quality showed a direct significant association by cell-phone addiction score except sleep duration score that was inversely. Based on multivariate analysis affected to cell-phone addiction, being male gender and studying in general physician level are the most important predictors of poor sleep quality. Conclusions: Over use of internet and social networks via smart phones is related to poor sleep quality and quantity. Predefined sport programs, educational, cultural, and interesting entertainment are the essential needs for all medical students. These interventions are more important especially for male students who have longer educational.
Published: 2016

15. Transport injuries and deaths in the Eastern Mediterranean Region: findings from the Global Burden of Disease 2015 Study

Author: Mokdad, Ali H, Khalil, Ibrahim, El Bcheraoui, Charbel, Charara, Raghid, Moradi-Lakeh, Maziar, Afshin, Ashkan, Kassebaum, Nicholas J, Collison, Michael, Daoud, Farah, Chew, Adrienne, Krohn, Kristopher J, Colombara, Danny, Cornaby, Leslie, Ehrenkranz, Rebecca, Graetz, Nicholas, Kutz, Michael, Troeger, Christopher, Wang, Haidong, Abate, Kalkidan Hassen, Abd-Allah, Foad, Abdulle, Abdishakur M, Abera, Semaw Ferede, Kiadaliri, Aliasghar Ahmad, Ahmadi, Alireza, Ahmed, Muktar Beshir, Alam, Khurshid, Alasfoor, Deena, Alghnam, Suliman, Ali, Raghib, Alizadeh-Navaei, Reza, Al-Raddadi, Rajaa, Alsharif, Ubai, Altirkawi, Khalid A, Anber, Nahla, Ansari, Hossein, Antonio, Carl Abelardo T, Anwari, Philippines Palwasha, Asayesh, Hamid, Atey, Tesfay Mehari, Avila-Burgos, Leticia, Barker-Collo, Suzanne L, Bazargan-Hejazi, Shahrzad, Bedi, Neeraj, Beyene, Addisu Shunu, Bhutta, Zulfiqar A, Boufous, Soufiane, Butt, Zahid A, Castaneda-Orjuela, Carlos A, Chitheer, Abdulaal A, Dalal, Koustuv, Danawi, Hadi, Davitoiu, Dragos V, Djalalinia, Shirin, Endries, Aman Yesuf, Eshrati, Babak, Esteghamati, Alireza, Faro, Andre, Farvid, Maryam S, Fereshtehnejad, Seyed-Mohammad, Fischer, Florian, Gao, Wayne, Gebrehiwot, Tsegaye Tewelde, Hafezi-Nejad, Nima, Bidgoli, Hassan Haghparast, Hailu, Gessessew Bugssa, Hamadeh, Randah Ribhi, Hamidi, Samer, Hendrie, Delia, Heredia-Pi, Ileana Beatriz, Jacobsen, Kathryn H, James, Spencer Lewis, Jayatilleke, Achala Upendra, Jiang, Guohong, Jonas, Jost B, Kasaeian, Amir, Keiyoro, Peter Njenga, Khader, Yousef Saleh, Khan, Ejaz Ahmad, Khoja, Abdullah Tawfih Abdullah, Khosravi, Ardeshir, Khubchandani, Jagdish, Kim, Yun Jin, Kosen, Soewarta, Defo, Barthelemy Kuate, Larson, Heidi J, Linn, Shai, Lunevicius, Raimundas, Abd El Razek, Hassan Magdy, Abd El Razek, Mohammed Magdy, Majdan, Marek, Majdzadeh, Reza, Majeed, Azeem, Malekzadeh, Reza, Memiah, Peter, Memish, Ziad A, Mendoza, Walter, Mengistie, Mubarek Abera, Meretoja, Tuomo J, Miller, Ted R, Mohammed, Shafiu, Assaye, Ashagre Molla, Obermeyer, Carla Makhlouf, Pourmalek, Farshad, Qorbani, Mostafa, Radfar, Amir, Rafay, Anwar, Rahimi-Movaghar, Vafa, Rahman, Mahfuzar, Rai, Rajesh Kumar, Ranganathan, Kavitha, Rawaf, David Laith, Rawaf, Salman, Refaat, Amany H, Renzaho, Andre MN, Rezaei, Satar, Rojas-Rueda, David, Roshandel, Gholamreza, Safdarian, Mahdi, Safiri, Saeid, Sahraian, Mohammad Ali, Salamati, Payman, Samy, Abdallah M, Sanabria, Juan Ramon, Milicevic, Milena M Santric, Sartorius, Benn, Schwebel, David C, Sepanlou, Sadaf G, Shaheen, Amira, Shaikh, Masood Ali, Shamsipour, Mansour, Shamsizadeh, Morteza, Sobaih, Badr HA, Sufiyan, Muawiyyah Babale, Sunshine, Jacob E, Tehrani-Banihashemi, Arash, Temsah, Mohamad-Hani, Terkawi, Abdullah Sulieman, Thakur, JS, Topor-Madry, Roman, Uthman, Olalekan A, Vlassov, Vasiliy Victorovich, Vollset, Stein Emil, Wakayo, Tolassa, Werdecker, Andrea, Yaghoubi, Mohsen, Yaseri, Mehdi, Yonemoto, Naohiro, Younis, Mustafa Z, Zaki, Maysaa El Sayed, Jumaan, Aisha O, Vos, Theo, Hay, Simon I, Naghavi, Mohsen, Murray, Christopher JL, Reg, GBD 2015 Eastern Mediterranean, Department of Surgery, University of Helsinki, Clinicum, II kirurgian klinikka, Department of Oncology, and HUS Comprehensive Cancer Center
Subjects: Male, Health (social science), Poison control, Global Health, Suicide prevention, Occupational safety and health, Global Burden of Disease, 0302 clinical medicine, Medicine, 030212 general & internal medicine, Cause of death, CASUALTIES, OUTCOMES, Mediterranean Region, 030503 health policy & services, Accidents, Traffic, Burden of disease, Human factors and ergonomics, Public Health, Global Health, Social Medicine and Epidemiology, Middle Aged, 3142 Public health care science, environmental and occupational health, 3. Good health, MEDICAL-TREATMENT, POLICE, OPPORTUNITIES, 1117 Public Health And Health Services, Original Article, Female, Public Health, Quality-Adjusted Life Years, HEALTH, 0305 other medical science, Adult, COUNTRIES, Adolescent, Eastern Mediterranean Region, Middle East, Young Adult, 03 medical and health sciences, EPIDEMIC, Environmental health, Injury prevention, Transport injuries, SYSTEMATIC ANALYSIS, Humans, ROAD-TRAFFIC INJURIES, Estimation, business.industry, Public Health, Environmental and Occupational Health, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, Years of potential life lost, Wounds and Injuries, business
Abstract: Objectives Transport injuries (TI) are ranked as one of the leading causes of death, disability, and property loss worldwide. This paper provides an overview of the burden of TI in the Eastern Mediterranean Region (EMR) by age and sex from 1990 to 2015. Methods Transport injuries mortality in the EMR was estimated using the Global Burden of Disease mortality database, with corrections for ill-defined causes of death, using the cause of death ensemble modeling tool. Morbidity estimation was based on inpatient and outpatient datasets, 26 cause-of-injury and 47 nature-of-injury categories. Results In 2015, 152,855 (95% uncertainty interval: 137,900–168,100) people died from TI in the EMR countries. Between 1990 and 2015, the years of life lost (YLL) rate per 100,000 due to TI decreased by 15.5%, while the years lived with disability (YLD) rate decreased by 10%, and the age-standardized disability-adjusted life years (DALYs) rate decreased by 16%. Conclusions Although the burden of TI mortality and morbidity decreased over the last two decades, there is still a considerable burden that needs to be addressed by increasing awareness, enforcing laws, and improving road conditions. Electronic supplementary material The online version of this article (doi:10.1007/s00038-017-0987-0) contains supplementary material, which is available to authorized users.
Published: 2018

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

Author: Mokdad, Ali H, Khalil, Ibrahim, Collison, Michael, El Bcheraoui, Charbel, Charara, Raghid, Moradi-Lakeh, Maziar, Afshin, Ashkan, Chew, Adrienne, Daoud, Farah, Krohn, Kristopher J, Colombara, Danny, Ehrenkranz, Rebecca, Kutz, Michael, Wang, Haidong, Abajobir, Amanuel Alemu, Abd-Allah, Foad, Abraha, Haftom Niguse, Abu-Raddad, Laith J, Kiadaliri, Aliasghar Ahmad, Ahmadi, Alireza, Ahmed, Kedir Yimam, Ahmed, Muktar Beshir, Al Lami, Faris Hasan, Alam, Khurshid, Alasfoor, Deena, Alizadeh-Navaei, Reza, Alkaabi, Juma M, Al-Maskari, Fatma, Al-Raddadi, Rajaa, Altirkawi, Khalid A, Anber, Nahla, Ansari, Hossein, Asayesh, Hamid, Asghar, Rana Jawad, Atey, Tesfay Mehari, Ayele, Tadesse Awoke, Baernighausen, Till, Bacha, Umar, Barac, Aleksandra, Barker-Collo, Suzanne L, Baune, Bernhard T, Bazargan-Hejazi, Shahrzad, Geffen, David, Bedi, Neeraj, Bensenor, Isabela M, Berhane, Adugnaw, Beyene, Addisu Shunu, Bhutta, Zulfiqar A, Boneya, Dube Jara, Borschmann, Rohan, Breitborde, Nicholas JK, Butt, Zahid A, Catala-Lopez, Ferran, Ciobanu, Liliana G, Danawi, Hadi, Deribew, Amare, Dharmaratne, Samath D, Doyle, Kerrie E, Endries, Aman Yesuf, Faraon, Emerito Jose Aquino, Faro, Andre, Farvid, Maryam S, Fekadu, Wubalem, Fereshtehnejad, Seyed-Mohammad, Fischer, Florian, Gebrehiwot, Tsegaye Tewelde, Giref, Ababi Zergaw, Gishu, Melkamu Dedefo, Goulart, Alessandra Carvalho, Habtewold, Tesfa Dejenie, Hamadeh, Randah Ribhi, Hambisa, Mitiku Teshome, Hamidi, Samer, Maria Haro, Josep, Hassanvand, Mohammad Sadegh, Horita, Nobuyuki, Hsairi, Mohamed, Huang, Hsiang, Husseini, Abdullatif, Jakovljevic, Mihajlo B, James, Spencer Lewis, Jonas, Jost B, Kasaeian, Amir, Khader, Yousef Saleh, Khan, Ejaz Ahmad, Khoja, Abdullah Tawfih Abdullah, Khosravi, Ardeshir, Khubchandani, Jagdish, Kim, Daniel, Kim, Yun Jin, Kokubo, Yoshihiro, Koyanagi, Ai, Defo, Barthelemy Kuate, Larson, Heidi J, Latif, Asma Abdul, Lee, Paul H, Leshargie, Cheru Tesema, Leung, Ricky, Lo, Loon-Tzian, Lunevicius, Raimundas, Abd El Razek, Hassan Magdy, Abd El Razek, Mohammed Magdy, Majdzadeh, Reza, Majeed, Azeem, Malekzadeh, Reza, Martinez-Raga, Jose, Farid, Habibolah Masoudi, Mazidi, Mohsen, McGrath, John J, Memish, Ziad A, Mendoza, Walter, Mengesha, Melkamu Merid, Mengistie, Mubarek Abera, Mensah, George A, Mezgebe, Haftay Berhane, Miller, Ted R, Mitchell, Philip B, Mohammadi, Alireza, Mohammed, Shafiu, Obermeyer, Carla Makhlouf, Ogbo, Felix Akpojene, Palomares Castillo, Elizabeth, Papachristou, Christina, Patten, Scott B, Patton, George C, Pereira, David M, Pervaiz, Aslam, Phillips, Michael Robert, Pourmalek, Farshad, Qorbani, Mostafa, Radfar, Amir, Rafay, Anwar, Rahimi-Movaghar, Vafa, Rai, Rajesh Kumar, Rawaf, David Laith, Rawaf, Salman, Refaat, Amany H, Rezaei, Satar, Rezai, Mohammad Sadegh, Roshandel, Gholamreza, Safdarian, Mahdi, Safiabadi, Mahdi, Safiri, Saeid, Sagar, Rajesh, Sahraian, Mohammad Ali, Salamati, Payman, Samy, Abdallah M, Sartorius, Benn, Saylan, Mete I, Seedat, Soraya, Sepanlou, Sadaf G, Shaikh, Masood Ali, Shamsizadeh, Morteza, Santos Silva, Diego Augusto, Singh, Jasvinder A, Sobaih, Badr HA, Sreeramareddy, Chandrashekhar T, Stein, Dan J, Abdulkader, Rizwan Suliankatchi, Sykes, Bryan L, Tabares-Seisdedos, Rafael, Sufiyan, Muawiyyah, Tabb, Karen M, Tehrani-Banihashemi, Arash, Temsah, Mohamad-Hani, Terkawi, Abdullah Sulieman, Topor-Madry, Roman, Ukwaja, Kingsley Nnanna, Uthman, Olalekan A, Vollset, Stein Emil, Wakayo, Tolassa, Wang, Yuan-Pang, Werdecker, Andrea, Westerman, Ronny, Workicho, Abdulhalik, Yaghoubi, Mohsen, Yimam, Hassen Hamid, Yonemoto, Naohiro, Younis, Mustafa Z, Yu, Chuanhua, Zaki, Maysaa El Sayed, Jumaan, Aisha O, Vos, Theo, Hay, Simon I, Naghavi, Mohsen, Kassebaum, Nicholas J, Murray, Christopher JL, Reg, GBD 2015 Eastern Mediterranean, UCH. Departamento de Farmacia, Producción Científica UCH 2018, Mokdad, Ali H, Khalil, Ibrahim, Collison, Michael, El Bcheraou, Charbel, Ciobanu, Liliana G, and Murray, Christopher JL
Subjects: Adult, Burden of disease, Maternal mortality, medicine.medical_specialty, Health (social science), Psychological intervention, SAÚDE DA MULHER, Global Health, maternal health, Eastern Mediterranean Region, Global Burden of Disease, Middle East, 03 medical and health sciences, 0302 clinical medicine, Environmental health, medicine, Global health, Journal Article, Humans, 030212 general & internal medicine, 030219 obstetrics & reproductive medicine, Mediterranean Region, maternal mortality, business.industry, Public health, Age Factors, 1. No poverty, Public Health, Environmental and Occupational Health, Reproductive life, 3. Good health, Eastern mediterranean, Pregnant women - Mortality - Eastern Mediterranean, Standardized mortality ratio, 1117 Public Health And Health Services, Life expectancy, Mujeres embarazadas - Mortalidad - Mediterráneo oriental (Región), Original Article, Female, Public Health, Maternal health, Morbidity, business
Abstract: Este artículo se encuentra disponible en la página web de la revista en la siguiente URL: https://link.springer.com/article/10.1007%2Fs00038-017-1004-3 Este artículo forma parte del suplemento titulado "The state of health in the Eastern Mediterranean Region, 1990-2015". Objectives Assessing the burden of maternal mortality is important for tracking progress and identifying public health gaps. This paper provides an overview of the burden of maternal mortality in the Eastern Mediterranean Region (EMR) by underlying cause and age from 1990 to 2015. Methods We used the results of the Global Burden of Disease 2015 study to explore maternal mortality in the EMR countries. Results The maternal mortality ratio in the EMR decreased 16.3% from 283 (241–328) maternal deaths per 100,000 live births in 1990 to 237 (188–293) in 2015. Maternal mortality ratio was strongly correlated with socio-demographic status, where the lowest-income countries contributed the most to the burden of maternal mortality in the region. Conclusion Progress in reducing maternal mortality in the EMR has accelerated in the past 15 years, but the burden remains high. Coordinated and rigorous efforts are needed to make sure that adequate and timely services and interventions are available for women at each stage of reproductive life.
Published: 2018

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

Author: Mokdad, Ali H, Charara, Raghid, El Bcheraoui, Charbel, Khalil, Ibrahim, Moradi-Lakeh, Maziar, Afshin, Ashkan, Kassebaum, Nicholas J, Collison, Michael, Krohn, Kristopher J, Chew, Adrienne, Daoud, Farah, Charlson, Fiona J, Colombara, Danny, Degenhardt, Louisa, Ehrenkranz, Rebecca, Erskine, Holly E, Ferrari, Alize J, Kutz, Michael, Leung, Janni, Santomauro, Damian, Wang, Haidong, Whiteford, Harvey A, Abajobir, Amanuel Alemu, Abd-Allah, Foad, Abraha, Haftom Niguse, Abu-Raddad, Laith J, Kiadaliri, Aliasghar Ahmad, Ahmadi, Alireza, Yimam, Kedir, Beshir, Muktar, Al Lami, Faris Hasan, Alam, Khurshid, Alasfoor, Deena, Alizadeh-Navaei, Reza, Alkaabi, Juma M, Al-Maskari, Fatma, Al-Raddadi, Rajaa, Altirkawi, Khalid A, Anber, Nahla, Ansari, Hossein, Asayesh, Hamid, Asghar, Rana Jawad, Atey, Tesfay Mehari, Ayele, Tadesse Awoke, Baernighausen, Till, Bacha, Umar, Barac, Aleksandra, Barker-Collo, Suzanne L, Baune, Bernhard T, Bazargan-Hejazi, Shahrzad, Drew, Charles R, Geffen, David, Bedi, Neeraj, Bensenor, Isabela M, Berhane, Adugnaw, Beyene, Addisu Shunu, Bhutta, Zulfiqar A, Boneya, Dube Jara, Borschmann, Rohan, Breitborde, Nicholas JK, Butt, Zahid A, Catala-Lopez, Ferran, Ciobanu, Liliana G, Danawi, Hadi, Deribew, Amare, Dharmaratne, Samath D, Doyle, Kerrie E, Endries, Aman Yesuf, Faraon, Emerito Jose Aquino, Faro, Andre, Farvid, Maryam S, Fekadu, Wubalem, Fereshtehnejad, Seyed-Mohammad, Fischer, Florian, Gebrehiwot, Tsegaye Tewelde, Giref, Ababi Zergaw, Gishu, Melkamu Dedefo, Carvalho, Alessandra, Habtewold, Tesfa Dejenie, Hamadeh, Randah Ribhi, Hambisa, Mitiku Teshome, Hamidi, Samer, Haro, Josep Maria, Hassanvand, Mohammad Sadegh, Horita, Nobuyuki, Hsairi, Mohamed, Huang, Hsiang, Husseini, Abdullatif, Jakovljevic, Mihajlo B, James, Spencer Lewis, Jonas, Jost B, Kasaeian, Amir, Khader, Yousef Saleh, Khan, Ejaz Ahmad, Khoja, Abdullah Tawfih Abdullah, Khosravi, Ardeshir, Khubchandani, Jagdish, Kim, Daniel, Kim, Yun Jin, Kokubo, Yoshihiro, Koyanagi, Ai, Defo, Barthelemy Kuate, Larson, Heidi J, Latif, Asma Abdul, Lee, Paul H, Leshargie, Cheru Tesema, Leung, Ricky, Lo, Loon-Tzian, Lunevicius, Raimundas, Abd El Razek, Hassan Magdy, Abd El Razek, Mohammed Magdy, Majdzadeh, Reza, Majeed, Azeem, Malekzadeh, Reza, Martinez-Raga, Jose, Farid, Habibolah Masoudi, Mazidi, Mohsen, McGrath, John J, Memish, Ziad A, Mendoza, Walter, Mengesha, Melkamu Merid, Mengistie, Mubarek Abera, Mezgebe, Haftay Berhane, Miller, Ted R, Mitchell, Philip B, Mohammadi, Alireza, Mohammed, Shafiu, Obermeyer, Carla Makhlouf, Ogbo, Felix Akpojene, Castillo, Elizabeth Palomares, Papachristou, Christina, Patten, Scott B, Patton, George C, Pervaiz, Aslam, Phillips, Michael Robert, Pourmalek, Farshad, Qorbani, Mostafa, Radfar, Amir, Rafay, Anwar, Rahimi-Movaghar, Vafa, Rai, Rajesh Kumar, Rawaf, David Laith, Rawaf, Salman, Refaat, Amany H, Rezaei, Satar, Rezai, Mohammad Sadegh, Roshandel, Gholamreza, Safdarian, Mahdi, Safiabadi, Mahdi, Safiri, Saeid, Sagar, Rajesh, Sahraian, Mohammad Ali, Salamati, Payman, Samy, Abdallah M, Sartorius, Benn, Saylan, Mete I, Seedat, Soraya, Sepanlou, Sadaf G, Shaikh, Masood Ali, Shamsizadeh, Morteza, Silva, Diego Augusto Santos, Singh, Jasvinder A, Sobaih, Badr HA, Stein, Dan J, Abdulkader, Rizwan Suliankatchi, Sykes, Bryan L, Tabares-Seisdedos, Rafael, Tabb, Karen M, Tehrani-Banihashemi, Arash, Temsah, Mohamad-Hani, Terkawi, Abdullah Sulieman, Topor-Madry, Roman, Ukwaja, Kingsley Nnanna, Uthman, Olalekan A, Vollset, Stein Emil, Wakayo, Tolassa, Wang, Yuan-Pang, Werdecker, Andrea, Westerman, Ronny, Workicho, Abdulhalik, Yaghoubi, Mohsen, Yimam, Hassen Hamid, Yonemoto, Naohiro, Younis, Mustafa Z, Yu, Chuanhua, Zaki, Maysaa El Sayed, Zein, Bassel, Jumaan, Aisha O, Vos, Theo, Hay, Simon I, Naghavi, Mohsen, Murray, Christopher JL, Reg, GBD 2015 Eastern Mediterranean, UCH. Departamento de Farmacia, Producción Científica UCH 2018, Hay, S, Mokdad, Ali H, Charara, Raghid, El Bcheraoui, Charbel, Khalil, Ibrahim, Ciobanu, Liliana G, and Murray, Christopher JL
Subjects: Male, Health (social science), Eastern Mediterranean region, Poison control, burden of disease, Global Health, Global Burden of Disease, Depression, Mental - Eastern Mediterranean, 0302 clinical medicine, Risk Factors, Global health, Medicine, 030212 general & internal medicine, Mental illness - Eastern Mediterranean, Mediterranean Region, Mental Disorders, Epidemiología psiquiátrica, Burden of disease, Middle Aged, 3. Good health, 1117 Public Health And Health Services, Anxiety, Original Article, Mental health, Female, Quality-Adjusted Life Years, Public Health, medicine.symptom, mental health, Adult, Depressive disorders, medicine.medical_specialty, Adolescent, Anxiety - Eastern Mediterranean, Mental health - Eastern Mediterranean, Middle East, Young Adult, 03 medical and health sciences, anxiety disorders, Injury prevention, Journal Article, Humans, Depresión mental - Mediterráneo oriental (Región), Psychiatry, Disease burden, Aged, DEPRESSÃO, business.industry, Public health, Enfermedades mentales - Mediterráneo oriental (Región), Public Health, Environmental and Occupational Health, Salud mental - Mediterráneo oriental (Región), Ansiedad - Mediterráneo oriental (Región), 030227 psychiatry, Quality-adjusted life year, Psychiatric epidemiology, depressive disorders, business, Anxiety disorders
Abstract: Este artículo se encuentra disponible en la página web de la revista en la siguiente URL: https://link.springer.com/article/10.1007%2Fs00038-017-1006-1 Este artículo forma parte del suplemento titulado "The state of health in the Eastern Mediterranean Region, 1990-2015". Objectives. Mental disorders are among the leading causes of nonfatal burden of disease globally. Methods. We used the global burden of diseases, injuries, and risk factors study 2015 to examine the burden of mental disorders in the Eastern Mediterranean region (EMR). We defined mental disorders according to criteria proposed in the diagnostic and statistical manual of mental disorders IV and the 10th International Classification of Diseases. Results Mental disorders contributed to 4.7% (95% uncertainty interval (UI) 3.7–5.6%) of total disability-adjusted life-years (DALYs), ranking as the ninth leading cause of disease burden. Depressive disorders and anxiety disorders were the third and ninth leading causes of nonfatal burden, respectively. Almost all countries in the EMR had higher age-standardized mental disorder DALYs rates compared to the global level, and in half of the EMR countries, observed mental disorder rates exceeded the expected values. Conclusions The burden of mental disorders in the EMR is higher than global levels, particularly for women. To properly address this burden, EMR governments should implement nationwide quality epidemiological surveillance of mental disorders and provide adequate prevention and treatment services.
Published: 2018

18. Phylogenetic Groups ofEscherichia coliStrains from Patients with Urinary Tract Infection in Iran Based on the New Clermont Phylotyping Method

Author: Iranpour, Darioush, Hassanpour, Mojtaba, Ansari, Hossein, Tajbakhsh, Saeed, Khamisipour, Gholamreza, and Najafi, Akram
Subjects: Adult, Male, Article Subject, Adolescent, lcsh:Medicine, Microbial Sensitivity Tests, Drug resistance, Iran, Biology, medicine.disease_cause, Meropenem, General Biochemistry, Genetics and Molecular Biology, Microbiology, Young Adult, Antibiotic resistance, Phylogenetics, Drug Resistance, Multiple, Bacterial, Escherichia coli, medicine, Humans, Typing, Child, Escherichia coli Infections, Phylogeny, Aged, Aged, 80 and over, General Immunology and Microbiology, Phylogenetic tree, lcsh:R, Infant, Drug Resistance, Microbial, General Medicine, Middle Aged, Amoxicillin, Anti-Bacterial Agents, Cross-Sectional Studies, Child, Preschool, Urinary Tract Infections, Female, Research Article, medicine.drug
Abstract: Objectives.In 2013, Clermont classifiedE. colistrains into eight phylogenetic groups using a new quadruplex PCR method. The aims of this study were to identify the phylogenetic groups ofE. colibased on this method and to assess their antibiotic resistance patterns in Bushehr, Iran.Methods. In this cross-sectional study, 140E. coliisolates were subjected to phylogenetic typing by a quadruplex PCR method. Antimicrobial susceptibility testing was performed by disk diffusion method.Results. Phylogenetic group B2 was most predominant (39.3%), followed by unknown (27.1%), E (9.3%), C and clade I (each 6.4%), B1 (5%), F and D (each 2.9%), and A (0.7%). The most common antibiotic resistance was related to amoxicillin (82.1%) and the least to meropenem (0.7%). 82.14% of isolates were multiple drug resistant (MDR). Antibiotic resistance was mainly detected in group B2 (50%).Conclusions.Our findings showed the high prevalence of MDRE. coliisolates with dominance of group B2. About 25% ofE. coliisolates belong to the newly described phylogroups C, E, F, and clade I. Such studies need to be done also in other regions to provide greater understanding of the antibiotic resistance pattern and the prevalences of different phylogenetic groups.
Published: 2015

19. Global, Regional, and National Burden of Cardiovascular Diseases for 10 Causes, 1990 to 2015

Author: Roth, Gregory A., Johnson, Catherine, Abajobir, Amanuel, Abd-Allah, Foad, Abera, Semaw Ferede, Abyu, Gebre, Ahmed, Muktar, Aksut, Baran, Alam, Tahiya, Alam, Khurshid, Alla, Francois, Alvis-Guzman, Nelson, Amrock, Stephen, Ansari, Hossein, Arnlov, Johan, Asayesh, Hamid, Atey, Tesfay Mehari, Avila-Burgos, Leticia, Awasthi, Ashish, Banerjee, Amitava, Barac, Aleksandra, Barnighausen, Till, Barregard, Lars, Bedi, Neeraj, Ketema, Ezra Belay, Bennett, Derrick, Berhe, Gebremedhin, Bhutta, Zulfiqar, Bitew, Shimelash, Carapetis, Jonathan, Carrero, Juan Jesus, Malta, Deborah Carvalho, Andres Castaneda-Orjuela, Carlos, Castillo-Rivas, Jacqueline, Catala-Lopez, Ferran, Choi, Jee-Young, Christensen, Hanne, Cirillo, Massimo, Cooper, Leslie, Criqui, Michael, Cundiff, David, Damasceno, Albertino, Dandona, Lalit, Dandona, Rakhi, Davletov, Kairat, Dharmaratne, Samath, Dorairaj, Prabhakaran, Dubey, Manisha, Ehrenkranz, Rebecca, Zaki, Maysaa El Sayed, Faraon, Emerito Jose A., Esteghamati, Alireza, Farid, Talha, Farvid, Maryam, Feigin, Valery, Ding, Eric L., Fowkes, Gerry, Gebrehiwot, Tsegaye, Gillum, Richard, Gold, Audra, Gona, Philimon, Gupta, Rajeev, Habtewold, Tesfa Dejenie, Hafezi-Nejad, Nima, Hailu, Tesfaye, Hailu, Gessessew Bugssa, Hankey, Graeme, Hassen, Hamid Yimam, Abate, Kalkidan Hassen, Havmoeller, Rasmus, Hay, Simon I., Horino, Masako, Hotez, Peter J., Jacobsen, Kathryn, James, Spencer, Javanbakht, Mehdi, Jeemon, Panniyammakal, John, Denny, Jonas, Jost, Kalkonde, Yogeshwar, Karimkhani, Chante, Kasaeian, Amir, Khader, Yousef, Khan, Abdur, Khang, Young-Ho, Khera, Sahil, Khoja, Abdullah T., Khubchandani, Jagdish, Kim, Daniel, Kolte, Dhaval, Kosen, Soewarta, Krohn, Kristopher J., Kumar, G. Anil, Kwan, Gene F., Lal, Dharmesh Kumar, Larsson, Anders, Linn, Shai, Lopez, Alan, Lotufo, Paulo A., Abd El Razek, Hassan Magdy, Malekzadeh, Reza, Mazidi, Mohsen, Meier, Toni, Meles, Kidanu Gebremariam, Mensah, George, Meretoja, Atte, Mezgebe, Haftay, Miller, Ted, Mirrakhimov, Erkin, Mohammed, Shafiu, Moran, Andrew E., Musa, Kamarul Imran, Narula, Jagat, Neal, Bruce, Ngalesoni, Frida, Grant Nguyen, Obermeyer, Carla Makhlouf, Owolabi, Mayowa, Patton, George, Pedro, Joao, Qato, Dima, Qorbani, Mostafa, Rahimi, Kazem, Rai, Rajesh Kumar, Rawaf, Salman, Ribeiro, Antonio, Safiri, Saeid, Salomon, Joshua A., Santos, Itamar, Milicevic, Milena Santric, Sartorius, Benn, Schutte, Aletta, Sepanlou, Sadaf, Shaikh, Masood Ali, Shin, Min-Jeong, Shishehbor, Mehdi, Shore, Hirbo, Santos Silva, Diego Augusto, Sobngwi, Eugene, Stranges, Saverio, Swaminathan, Soumya, Tabares-Seisdedos, Rafael, Atnafu, Niguse Tadele, Tesfay, Fisaha, Thakur, J. S., Thrift, Amanda, Topor-Madry, Roman, Truelsen, Thomas, Tyrovolas, Stefanos, Ukwaja, Kingsley Nnanna, Uthman, Olalekan, Vasankari, Tommi, Vlassov, Vasiliy, Vollset, Stein Emil, Wakayo, Tolassa, Watkins, David, Weintraub, Robert, Werdecker, Andrea, Westerman, Ronny, Wiysonge, Charles Shey, Wolfe, Charles, Workicho, Abdulhalik, Xu, Gelin, Yano, Yuichiro, Yip, Paul, Yonemoto, Naohiro, Younis, Mustafa, Yu, Chuanhua, Vos, Theo, Naghavi, Mohsen, Murray, Christopher, Roth, Gregory, Johnson, Catherine, Abajobir, Amanuel, Abd-Allah, Foad, Semaw, Ferede Abera, Gebre, Abyu, Muktar, Ahmed, Baran, Aksut, Tahiya, Alam, Khurshid, Alam, François, Alla, Nelson, Alvis-Guzman, Stephen, Amrock, Hossein, Ansari, Johan, Ärnlöv, Hamid, Asayesh, Tesfay, Mehari Atey, Leticia, Avila-Burgo, Ashish, Awasthi, Amitava, Banerjee, Aleksandra, Barac, Till, Bärnighausen, Lars, Barregard, Neeraj, Bedi, Ezra, Belay Ketema, Derrick, Bennett, Gebremedhin, Berhe, Zulfiqar, Bhutta, Shimelash, Bitew, Jonathan, Carapeti, Juan, Jesus Carrero, Deborah, Carvalho Malta, Carlos, Andres Castañeda-Orjuela, Jacqueline, Castillo-Riva, Ferrán, Catalá-López, Jee-Young, Choi, Hanne, Christensen, Cirillo, Massimo, Leslie, Cooper, Michael, Criqui, David, Cundiff, Albertino, Damasceno, Lalit, Dandona, Rakhi, Dandona, Kairat, Davletov, Samath, Dharmaratne, Prabhakaran, Dorairaj, Manisha, Dubey, Rebecca, Ehrenkranz, Maysaa, El Sayed Zaki, Emerito, Jose A. Faraon, Alireza, Esteghamati, Talha, Farid, Maryam, Farvid, Valery, Feigin, Eric, L. Ding, Gerry, Fowke, Tsegaye, Gebrehiwot, Richard, Gillum, Audra, Gold, Philimon, Gona, Rajeev, Gupta, Tesfa, Dejenie Habtewold, Nima, Hafezi-Nejad, Tesfaye, Hailu, Gessessew, Bugssa Hailu, Graeme, Hankey, Hamid, Yimam Hassen, Kalkidan, Hassen Abate, Rasmus, Havmoeller, Simon, Hay, Masako, Horino, Peter, Hotez, Kathryn, Jacobsen, Spencer, Jame, Mehdi, Javanbakht, Panniyammakal, Jeemon, Denny, John, Jost, Jona, Yogeshwar, Kalkonde, Chante, Karimkhani, Amir, Kasaeian, Yousef, Khader, Abdur, Khan, Young-Ho, Khang, Sahil, Khera, Abdullah, Khoja, Jagdish, Khubchandani, Daniel, Kim, Dhaval, Kolte, Soewarta, Kosen, Kristopher, Krohn, Anil, Kumar, Gene, Kwan, Dharmesh, Kumar Lal, Anders, Larsson, Shai, Linn, Alan, Lopez, Paulo, Lotufo, Hassan, Magdy, Abd El, Razek, Reza, Malekzadeh, Mohsen, Mazidi, Toni, Meier, Kidanu, Gebremariam Mele, George, Mensah, Atte, Meretoja, Haftay, Mezgebe, Ted, Miller, Erkin, Mirrakhimov, Shafiu, Mohammed, Andrew, Moran, Kamarul, Imran Musa, Jagat, Narula, Bruce, Neal, Frida, Ngalesoni, Grant, Nguyen, Carla, Makhlouf Obermeyer, Mayowa, Owolabi, George, Patton, João, Pedro, Dima, Qato, Mostafa, Qorbani, Kazem, Rahimi, Rajesh, Kumar Rai, Salman, Rawaf, Antônio, Ribeiro, Saeid, Safiri, Joshua, Salomon, Itamar, Santo, Milena, Santric Milicevic, Benn, Sartoriu, Aletta, Schutte, Sadaf, Sepanlou, Masood, Ali Shaikh, Min-Jeong, Shin, Mehdi, Shishehbor, Hirbo, Shore, Diego, Augusto Santos Silva, Eugene, Sobngwi, Saverio, Strange, Soumya, Swaminathan, Rafael, Tabarés-Seisdedo, Niguse, Tadele Atnafu, Fisaha, Tesfay Thakur, Amanda, Thrift, Roman, Topor-Madry, Thomas, Truelsen, Stefanos, Tyrovola, Kingsley, Nnanna Ukwaja, Olalekan, Uthman, Tommi, Vasankari, Vasiliy, Vlassov, Stein, Emil Vollset, Tolassa, Wakayo, David, Watkin, Robert, Weintraub, Andrea, Werdecker, Ronny, Westerman, Charles, Shey Wiysonge, Charles, Wolfe, Abdulhalik, Workicho, Gelin, Xu, Yuichiro, Yano, Paul, Yip, Naohiro, Yonemoto, Mustafa, Youni, Chuanhua, Yu, Theo, Vo, Mohsen, Naghavi, and Christopher, Murray.
Subjects: Adult, Male, Cardiac & Cardiovascular Systems, DEATHS, global health, Risk Assessment, 1102 Cardiovascular Medicine And Haematology, LOW-INCOME COUNTRIES, Young Adult, cause of death, Life Expectancy, Risk Factors, AMERICAN-HEART-ASSOCIATION, SYSTEMATIC ANALYSIS, Prevalence, Humans, Prospective Studies, Sex Distribution, Aged, Retrospective Studies, Science & Technology, HYPERTENSION, PERIPHERAL ARTERIAL-DISEASE, CAUSE-SPECIFIC MORTALITY, Middle Aged, Global Burden of Disease - Cardiovascular Disease, Survival Rate, 1117 Public Health And Health Services, Cardiovascular System & Hematology, Cardiovascular Diseases, DISABILITY WEIGHTS, Cardiovascular System & Cardiology, RISK-FACTORS, Female, epidemiology, Morbidity, Life Sciences & Biomedicine
Abstract: Background The burden of cardiovascular diseases (CVDs) remains unclear in many regions of the world. Objectives The GBD (Global Burden of Disease) 2015 study integrated data on disease incidence, prevalence, and mortality to produce consistent, up-to-date estimates for cardiovascular burden. Methods CVD mortality was estimated from vital registration and verbal autopsy data. CVD prevalence was estimated using modeling software and data from health surveys, prospective cohorts, health system administrative data, and registries. Years lived with disability (YLD) were estimated by multiplying prevalence by disability weights. Years of life lost (YLL) were estimated by multiplying age-specific CVD deaths by a reference life expectancy. A sociodemographic index (SDI) was created for each location based on income per capita, educational attainment, and fertility. Results In 2015, there were an estimated 422.7 million cases of CVD (95% uncertainty interval: 415.53 to 427.87 million cases) and 17.92 million CVD deaths (95% uncertainty interval: 17.59 to 18.28 million CVD deaths). Declines in the age-standardized CVD death rate occurred between 1990 and 2015 in all high-income and some middle-income countries. Ischemic heart disease was the leading cause of CVD health lost globally, as well as in each world region, followed by stroke. As SDI increased beyond 0.25, the highest CVD mortality shifted from women to men. CVD mortality decreased sharply for both sexes in countries with an SDI >0.75. Conclusions CVDs remain a major cause of health loss for all regions of the world. Sociodemographic change over the past 25 years has been associated with dramatic declines in CVD in regions with very high SDI, but only a gradual decrease or no change in most regions. Future updates of the GBD study can be used to guide policymakers who are focused on reducing the overall burden of noncommunicable disease and achieving specific global health targets for CVD.
Published: 2017

20. 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: Naghavi, Mohsen, Abajobir, Amanuel Alemu, Abbafati, Cristiana, Abbas, Kaja M., Abd-Allah, Foad, Abera, Semaw Ferede, Aboyans, Victor, Adetokunboh, Olatunji, Arnlov, Johan, Afshin, Ashkan, Agrawal, Anurag, Kiadaliri, Aliasghar Ahmad, Ahmadi, Alireza, Ahmed, Muktar Beshir, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Aiyar, Sneha, Al-Eyadhy, Ayman, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alam, Noore, Alam, Tahiya, Alene, Kefyalew Addis, Ali, Syed Danish, Alizadeh-Navaei, Reza, Alkaabi, Juma M., Alkerwi, Ala'a, Alla, Francois, 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, Arora, Megha, Artaman, Al, Aryal, Krishna Kumar, Asayesh, Hamid, Asgedom, Solomon W., Atey, Tesfay Mehari, Avila-Burgos, Leticia, Avokpaho, Euripide Frinel G. Arthur, Awasthi, Ashish, Paulina, Beatriz, Quintanilla, Ayala, Bejot, Yannick, 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, Bekele, Bayu Begashaw, Bell, Michelle L., Bennett, James R., Bensenor, Isabela M., Berhane, Adugnaw, Bernabe, Eduardo, Betsu, Balem Demtsu, Beuran, Mircea, Bhatt, Samir, Biadgilign, Sibhatu, Bienhoff, Kelly, Bikbov, Boris, Bisanzio, Donal, Bourne, Rupert R. A., Breitborde, Nicholas J. K., Negesa, Lemma, Bulto, Bulto, Bumgarner, Blair R., Butt, Zahid A., Cardenas, Rosario, Cahuana-Hurtado, Lucero, Cameron, Ewan, Cesar Campuzano, Julio, Car, Josip, Jesus Carrero, Juan, Carter, Austin, Casey, Daniel C., Castaneda-Orjuela, Carlos A., Catala-Lopez, Ferran, Charlson, Fiona J., Chibueze, Chioma Ezinne, Chimed-Ochir, Odgerel, Chisumpa, Vesper Hichilombwe, Chitheer, Abdulaal A., Christopher, Devasahayam Jesudas, Ciobanu, Liliana G., Cirillo, Massimo, Cohen, Aaron J., Colombara, Danny, Cooper, Cyrus, Cowie, Benjamin C., Criqui, Michael H., Dandona, Lalit, Dandona, Rakhi, Dargan, Paul I., das Neves, Jose, Davitoiu, Dragos V., Davletov, Kairat, de Courten, Barbora, Degenhardt, Louisa, Deiparine, Selina, Deribe, Kebede, Deribew, Amare, Dey, Subhojit, Dicker, Daniel, Ding, Eric L., Djalalinia, Shirin, Huyen Phuc Do, Huyen Phuc Do, Doku, David Teye, Douwes-Schultz, Dirk, Driscoll, Tim R., Dubey, Manisha, Duncan, Bruce Bartholow, Echko, Michelle, El-Khatib, Ziad Ziad, Ellingsen, Christian Lycke, Enayati, Ahmadali, Erskine, Holly E., Eskandarieh, Sharareh, Esteghamati, Alireza, Ermakov, Sergey P., Estep, Kara, E Sa Farinha, Carla Sofia, Faro, Andre, Farzadfar, Farshad, Feigin, Valery L., Fereshtehnejad, Seyed-Mohammad, Fernandes, Joao C., Ferrari, Alize J., Feyissa, Tesfaye Regassa, Filip, Irina, Finegold, Samuel, Fischer, Florian, Fitzmaurice, Christina, Flaxman, Abraham D., Foigt, Nataliya, Frank, Tahvi, Fraser, Maya, Fullman, Nancy, Furst, Thomas, Furtado, Joao M., Gakidou, Emmanuela, Garcia-Basteiro, Alberto L., Gebre, Teshome, Gebregergs, Gebremedhin Berhe, Gebrehiwot, Tsegaye Tewelde, Gebremichael, Delelegn Yilma, Geleijnse, Johanna M., Genova-Maleras, Ricard, Gesesew, Hailay Abrha, Gething, Peter W., Gillum, Richard F., Ginawi, Ibrahim Abdelmageem Mohamed, Giref, Ababi Zergaw, Giroud, Maurice, Giussani, Giorgia, Godwin, William W., Gold, Audra L., Goldberg, Ellen M., Gona, Philimon N., Gopalani, Sameer Vali, Gouda, Hebe N., Goulart, Alessandra Carvalho, Griswold, Max, Gupta, Prakash C., Gupta, Rajeev, Gupta, Tanush, Gupta, Vipin, Haagsma, Juanita A., Hafezi-Nejad, Nima, Hailu, Alemayehu Desalegne, Hailu, Gessessew Bugssa, 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, Hassanvand, Mohammad Sadegh, Havmoeller, Rasmus, Hay, Simon I., He, Fei, Hedayati, Mohammad T., Henry, Nathaniel J., Beatriz Heredia-Pi, Ileana, Herteliu, Claudiu, Hoek, Hans W., Horino, Masako, Horita, Nobuyuki, Hosgood, H. Dean, Hostiuc, Sorin, Hotez, Peter J., Hoy, Damian G., Huynh, Chantal, Iburg, Kim Moesgaard, Ikeda, Chad, Ileanu, Bogdan Vasile, Irenso, Asnake Ararsa, Irvine, Caleb Mackay Salpeter, Jurisson, Mikk, Jacobsen, Kathryn H., Jahanmehr, Nader, Jakovljevic, Mihajlo B., Javanbakht, Mehdi, Jayaraman, Sudha P., Jeemon, Panniyammakal, Jha, Vivekanand, John, Denny, Johnson, Catherine O., Johnson, Sarah Charlotte, Jonas, Jost B., Kabir, Zubair, Kadel, Rajendra, Kahsay, Amaha, Kamal, Ritul, Karch, Andre, Karimi, Seyed M., Karimkhani, Chante, Kasaeian, Amir, Kassaw, Nigussie Assefa, Kassebaum, Nicholas J., Katikireddi, Srinivasa Vittal, Kawakami, Norito, Keiyoro, Peter Njenga, Kemmer, Laura, Kesavachandran, Chandrasekharan Nair, Khader, Yousef Saleh, Khan, Ejaz Ahmad, Khang, Young-Ho, Khoja, Abdullah Tawfih Abdullah, Khosravi, Ardeshir, Khosravi, Mohammad Hossein, Khubchandani, Jagdish, Kieling, Christian, Kievlan, Daniel, Kim, Daniel, Kim, Yun Jin, Kimokoti, Ruth W., Kinfu, Yohannes, Kissoon, Niranjan, Kivimaki, Mika, Knudsen, Ann Kristin, Kopec, Jacek A., Kosen, Soewarta, Koul, Parvaiz A., Koyanagi, Ai, Defo, Barthelemy Kuate, Kulikoff, Xie Rachel, Kumar, G. Anil, Kumar, Pushpendra, Kutz, Michael, Kyu, Hmwe H., Lal, Dharmesh Kumar, Lalloo, Ratilal, Lallukka, Tea, Lambert, Nkurunziza, Lan, Qing, Lansingh, Van C., Larsson, Anders, Lee, Paul H., Leigh, James, Leung, Janni, Levi, Miriam, Li, Yongmei, Kappe, Darya Li, Liang, Xiaofeng, Liben, Misgan Legesse, Lim, Stephen S., Liu, Angela, Liu, Patrick Y., Liu, Yang, Lodha, Rakesh, Logroscino, Giancarlo, Lorkowski, Stefan, Lotufo, Paulo A., Lozano, Rafael, Lucas, Timothy C. D., Ma, Stefan, Macarayan, Erlyn Rachelle King, Maddison, Emilie R., Abd el Razek, Mohammed Magdy, Majdan, Marek, Majdzadeh, Reza, Majeed, Azeem, Malekzadeh, Reza, Malhotra, Rajesh, Malta, Deborah Carvalho, Manguerra, Helena, Manyazewal, Tsegahun, Mapoma, Chabila C., Marczak, Laurie B., Markos, Desalegn, Martinez-Raga, Jose, Martins-Melo, Francisco Rogerlandio, Martopullo, Ira, McAlinden, Colm, McGaughey, Madeline, McGrath, John J., Mehata, Suresh, Meier, Toni, Meles, Kidanu Gebremariam, Memiah, Peter, Memish, Ziad A., Mengesha, Melkamu Merid, Mengistu, Desalegn Tadese, Menota, Bereket Gebremichael, Mensah, George A., Meretoja, Atte, Meretoja, Tuomo J., Millear, Anoushka, Miller, Ted R., Minnig, Shawn, Mirarefin, Mojde, Mirrakhimov, Erkin M., Misganaw, Awoke, Mishra, Shiva Raj, Mohammad, Karzan Abdulmuhsin, Mohammadi, Alireza, Mohammed, Shafiu, Mokdad, Ali H., Mola, Glen Liddell D., Mollenkopf, Sarah K., Molokhia, Mariam, Monasta, Lorenzo, Montanez Hernandez, Julio C., Montico, Marcella, Mooney, Meghan D., Moradi-Lakeh, Maziar, Moraga, Paula, Morawska, Lidia, Morrison, Shane D., Morozoff, Chloe, Mountjoy-Venning, Cliff, Mruts, Kalayu Birhane, Muller, Kate, Murthy, Gudlavalleti Venkata Satyanarayana, Musa, Kamarul Imran, Nachega, Jean B., Naheed, Aliya, Naldi, Luigi, Nangia, Vinay, Nascimento, Bruno Ramos, Nasher, Jamal T., Natarajan, Gopalakrishnan, Negoi, Ionut, Ngunjiri, Josephine Wanjiku, Cuong Tat Nguyen, Cuong Tat Nguyen, Grant Nguyen, Grant Nguyen, Minh Nguyen, Minh Nguyen, Quyen Le Nguyen, Quyen Le Nguyen, Trang Huyen Nguyen, Trang Huyen Nguyen, Nichols, Emma, Ningrum, Dina Nur Anggraini, Vuong Minh Nong, Vuong Minh Nong, Noubiap, Jean Jacques N., Ogbo, Felix Akpojene, Oh, In-Hwan, Okoro, Anselm, Olagunju, Andrew Toyin, Olsen, Helen E., Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Ong, Kanyin, Opio, John Nelson, Oren, Eyal, Ortiz, Alberto, Osman, Majdi, Ota, Erika, Pa, Mahesh, Pacella, Rosana E., Pakhale, Smita, Pana, Adrian, Panda, Basant Kumar, Panda-Jonas, Songhomitra, Papachristou, Christina, Park, Eun-Kee, Patten, Scott B., Patton, George C., Paudel, Deepak, Paulson, Katherine, Pereira, David M., Perez-Ruiz, Fernando, Perico, Norberto, Pervaiz, Aslam, Petzold, Max, Phillips, Michael Robert, Pigott, David M., Pinho, Christine, Plass, Dietrich, Pletcher, Martin A., Polinder, Suzanne, Postma, Maarten J., Pourmalek, Farshad, Purcell, Caroline, Qorbani, Mostafa, Radfar, Amir, Rafay, Anwar, Rahimi-Movaghar, Vafa, Rahman, Mahfuzar, Rahman, Mohammad Hifz Ur, Rai, Rajesh Kumar, Ranabhat, Chhabi Lal, Rankin, Zane, Rao, Puja C., Rath, Goura Kishor, Rawaf, Salman, Ray, Sarah E., Rehm, Jurgen, Reiner, Robert C., Reitsma, Marissa B., Remuzzi, Giuseppe, Rezaei, Satar, Rezai, Mohammad Sadegh, Rokni, Mohammad Bagher, Ronfani, Luca, Roshandel, Gholamreza, Roth, Gregory A., Rothenbacher, Dietrich, Ruhago, George Mugambage, Saadat, Rizwan S. A. Soheil, Sachdev, Perminder S., Sadat, Nafis, Safdarian, Mahdi, Safi, Sare, Safiri, Saeid, Sagar, Rajesh, Sahathevan, Ramesh, Salama, Joseph, Salamati, Payman, Salomon, Joshua A., Samy, Abdallah M., Sanabria, Juan Ramon, Dolores Sanchez-Nino, Maria, Santomauro, Damian, Santos, Itamar S., Milicevic, Milena M. Santric, Sartorius, Benn, Satpathy, Maheswar, Shahraz, Saeid, Schmidt, Maria Ines, Schneider, Ione J. C., Schulhofer-Wohl, Sam, Schutte, Aletta E., Schwebel, David C., Schwendicke, Falk, Sepanlou, Sadaf G., Servan-Mori, Edson E., Shackelford, Katya Anne, Shaikh, Masood Ali, Shamsipour, Mansour, Shamsizadeh, Morteza, Islam, Sheikh Mohammed Shariful, Sharma, Jayendra, Sharma, Rajesh, She, Jun, Sheikhbahaei, Sara, Shey, Muki, Shi, Peilin, Shields, Chloe, Shigematsu, Mika, Shiri, Rahman, Shirude, Shreya, Shiue, Ivy, Shoman, Haitham, Shrime, Mark G., Sigfusdottir, Inga Dora, Silpakit, Naris, Silva, Joao Pedro, Singh, Abhishek, Singh, Jasvinder A., Skiadaresi, Eirini, Sligar, Amber, Smith, Alison, Smith, David L., Smith, Mari, Sobaih, Badr H. A., Soneji, Samir, Sorensen, Reed J. D., Soriano, Joan B., Sreeramareddy, Chandrashekhar T., Srinivasan, Vinay, Stanaway, Jeffrey D., Stathopoulou, Vasiliki, Steel, Nicholas, Stein, Dan J., Steiner, Caitlyn, Steinke, Sabine, Stokes, Mark Andrew, Strong, Mark, Strub, Bryan, Subart, Michelle, Sufiyan, Muawiyyah Babale, Sunguya, Bruno F., Sur, Patrick J., Swaminathan, Soumya, Sykes, Bryan L., Tabares-Seisdedos, Rafael, Tadakamadla, Santosh Kumar, Takahashi, Ken, Takala, Jukka S., Talongwa, Roberto Tchio, Tarawneh, Mohammed Rasoul, Tavakkoli, Mohammad, Taveira, Nuno, Tegegne, Teketo Kassaw, Tehrani-Banihashemi, Arash, Temsah, Mohamad-Hani, Terkawi, Abdullah Sulieman, Thakur, J. S., Thamsuwan, Ornwipa, Thankappan, Kavumpurathu Raman, Thomas, Katie E., Thompson, Alex H., Thomson, Alan J., Thrift, Amanda G., Tobe-Gai, Ruoyan, Topor-Madry, Roman, Torre, Anna, Tortajada, Miguel, Towbin, Jeffrey Allen, Bach Xuan Tran, Bach Xuan Tran, Troeger, Christopher, Truelsen, Thomas, Tsoi, Derrick, Tuzcu, Emin Murat, Tyrovolas, Stefanos, Ukwaja, Kingsley N., Undurraga, Eduardo A., Updike, Rachel, Uthman, Olalekan A., Uzochukwu, Benjamin S. Chudi, van Boven, Job F. M., Vasankari, Tommi, Venketasubramanian, Narayanaswamy, Violante, Francesco S., Vlassov, Vasiliy Victorovich, Vollset, Stein Emil, Vos, Theo, Wakayo, Tolassa, Wallin, Mitchell T., Wang, Yuan-Pang, Weiderpass, Elisabete, Weintraub, Robert G., Weiss, Daniel J., Werdecker, Andrea, Westerman, Ronny, Whetter, Brian, Whiteford, Harvey A., Wijeratne, Tissa, Wiysonge, Charles Shey, Woldeyes, Belete Getahun, Wolfe, Charles D. A., Woodbrook, Rachel, Workicho, Abdulhalik, Xavier, Denis, Xiao, Qingyang, Xu, Gelin, Yaghoubi, Mohsen, Yakob, Bereket, Yano, Yuichiro, Yaseri, Mehdi, Yimam, Hassen Hamid, Yonemoto, Naohiro, Yoon, Seok-Jun, Yotebieng, Marcel, Younis, Mustafa Z., Zaidi, Zoubida, Zaki, Maysaa El Sayed, Zegeye, Elias Asfaw, Zenebe, Zerihun Menlkalew, Zerfu, Taddese Alemu, Zhang, Anthony Lin, Zhang, Xueying, Zipkin, Ben, Zodpey, Sanjay, Lopez, Alan D., Murray, Christopher J. L., 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, Fare, Al-Aly, Ziyad, Alam, Khurshid, Alam, Noore, Alam, Tahiya, Alene, Kefyalew Addi, Al-Eyadhy, Ayman, Ali, Syed Danish, Alizadeh-Navaei, Reza, Alkaabi, Juma M, Alkerwi, Ala'a, Alla, Françoi, 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, Lar, 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, Bori, Bisanzio, Donal, Bourne, Rupert R A, Breitborde, Nicholas J K, Bulto, Lemma Negesa Bulto, Bumgarner, Blair R, Butt, Zahid A, Cahuana-Hurtado, Lucero, Cameron, Ewan, Campuzano, Julio Cesar, Car, Josip, Cárdenas, Rosario, Carrero, Juan Jesu, Carter, Austin, Casey, Daniel C, Castañeda-Orjuela, Carlos A, Catalá-López, Ferrán, Charlson, Fiona J, Chibueze, Chioma Ezinne, Chimed-Ochir, Odgerel, Chisumpa, Vesper Hichilombwe, Chitheer, Abdulaal A, Christopher, Devasahayam Jesuda, Ciobanu, Liliana G, Cirillo, Massimo, Cohen, Aaron J, Colombara, Danny, Cooper, Cyru, Cowie, Benjamin C, Criqui, Michael H, Dandona, Lalit, Dandona, Rakhi, Dargan, Paul I, das Neves, José, Davitoiu, Dragos V, Davletov, Kairat, de Courten, Barbora, Defo, Barthelemy Kuate, Degenhardt, Louisa, Deiparine, Selina, Deribe, Kebede, Deribew, Amare, Dey, Subhojit, Dicker, Daniel, Ding, Eric L, Djalalinia, Shirin, Do, Huyen Phuc, Doku, David Teye, Douwes-Schultz, Dirk, Driscoll, Tim R, Dubey, Manisha, Duncan, Bruce Bartholow, Echko, Michelle, El-Khatib, Ziad Ziad, Ellingsen, Christian Lycke, Enayati, Ahmadali, Erskine, Holly E, Eskandarieh, Sharareh, Esteghamati, Alireza, Estep, Kara, Farinha, Carla Sofia e Sa, Faro, André, Farzadfar, Farshad, Feigin, Valery L, Fereshtehnejad, Seyed-Mohammad, Fernandes, João C, Ferrari, Alize J, Feyissa, Tesfaye Regassa, Filip, Irina, Finegold, Samuel, Fischer, Florian, Fitzmaurice, Christina, Flaxman, Abraham D, Foigt, Nataliya, Frank, Tahvi, Fraser, Maya, Fullman, Nancy, Fürst, Thoma, Furtado, Joao M, Gakidou, Emmanuela, Garcia-Basteiro, Alberto L, Gebre, Teshome, Gebregergs, Gebremedhin Berhe, Gebrehiwot, Tsegaye Tewelde, Gebremichael, Delelegn Yilma, Geleijnse, Johanna M, Genova-Maleras, Ricard, Gesesew, Hailay Abrha, Gething, Peter W, Gillum, Richard F, Giroud, Maurice, Giussani, Giorgia, Godwin, William W, Gold, Audra L, Goldberg, Ellen M, Gona, Philimon N, Gopalani, Sameer Vali, Gouda, Hebe N, Goulart, Alessandra Carvalho, Griswold, Max, Gupta, Rajeev, Gupta, Tanush, Gupta, Vipin, Haagsma, Juanita A, Hafezi-Nejad, Nima, Hailu, Alemayehu Desalegne, Hailu, Gessessew Bugssa, 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, Hassanvand, Mohammad Sadegh, Havmoeller, Rasmu, Hay, Simon I, He, Fei, Hedayati, Mohammad T, Henry, Nathaniel J, Heredia-Pi, Ileana Beatriz, Herteliu, Claudiu, Hoek, Hans W, Horino, Masako, Horita, Nobuyuki, Hosgood, H Dean, Hostiuc, Sorin, Hotez, Peter J, Hoy, Damian G, Huynh, Chantal, Iburg, Kim Moesgaard, Ikeda, Chad, Ileanu, Bogdan Vasile, Irenso, Asnake Ararsa, Irvine, Caleb Mackay Salpeter, Islam, Sheikh Mohammed Shariful, Jacobsen, Kathryn H, Jahanmehr, Nader, Jakovljevic, Mihajlo B, Javanbakht, Mehdi, Jayaraman, Sudha P, 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, Karimi, Seyed M, Karimkhani, Chante, Kasaeian, Amir, Kassaw, Nigussie Assefa, Kassebaum, Nicholas J, Katikireddi, Srinivasa Vittal, Kawakami, Norito, Keiyoro, Peter Njenga, Kemmer, Laura, Kesavachandran, Chandrasekharan Nair, Khader, Yousef Saleh, Khan, Ejaz Ahmad, Khang, Young-Ho, Khoja, Abdullah Tawfih Abdullah, Khosravi, Mohammad Hossein, Khosravi, Ardeshir, Khubchandani, Jagdish, Kiadaliri, Aliasghar Ahmad, Kieling, Christian, Kievlan, Daniel, Kim, Yun Jin, Kim, Daniel, Kimokoti, Ruth W, Kinfu, Yohanne, Kissoon, Niranjan, Kivimaki, Mika, Knudsen, Ann Kristin, Kopec, Jacek A, Kosen, Soewarta, Koul, Parvaiz A, Koyanagi, Ai, Kulikoff, Xie Rachel, Kumar, G Anil, Kumar, Pushpendra, Kutz, Michael, Kyu, Hmwe H, Lal, Dharmesh Kumar, Lalloo, Ratilal, Lambert, Tea Lallukka Nkurunziza, Lan, Qing, Lansingh, Van C, Larsson, Ander, Lee, Paul H, Leigh, Jame, Leung, Janni, Levi, Miriam, Li, Yongmei, Li Kappe, Darya, Liang, Xiaofeng, Liben, Misgan Legesse, Lim, Stephen S, Liu, Patrick Y, Liu, Angela, Liu, Yang, Lodha, Rakesh, Logroscino, Giancarlo, Lopez, Alan D, Lorkowski, Stefan, Lotufo, Paulo A, Lozano, Rafael, Lucas, Timothy C D, Ma, Stefan, Macarayan, Erlyn Rachelle King, Maddison, Emilie R, Magdy Abd El Razek, Mohammed, Majdan, Marek, Majdzadeh, Reza, Majeed, Azeem, Malekzadeh, Reza, Malhotra, Rajesh, Malta, Deborah Carvalho, Manguerra, Helena, Manyazewal, Tsegahun, Mapoma, Chabila C, Marczak, Laurie B, Markos, Desalegn, Martinez-Raga, Jose, Martins-Melo, Francisco Rogerlândio, Martopullo, Ira, McAlinden, Colm, McGaughey, Madeline, McGrath, John J, Mehata, Suresh, Meier, Toni, Meles, Kidanu Gebremariam, Memiah, Peter, Memish, Ziad A, Mengesha, Melkamu Merid, Mengistu, Desalegn Tadese, Menota, Bereket Gebremichael, Mensah, George A, Meretoja, Tuomo J, Meretoja, Atte, Millear, Anoushka, Miller, Ted R, Minnig, Shawn, Mirarefin, Mojde, Mirrakhimov, Erkin M, Misganaw, Awoke, Mishra, Shiva Raj, Mohamed, Ibrahim Abdelmageem, Mohammad, Karzan Abdulmuhsin, Mohammadi, Alireza, Mohammed, Shafiu, Mokdad, Ali H, Mola, Glen Liddell D, Mollenkopf, Sarah K, Molokhia, Mariam, Monasta, Lorenzo, Montañez, Julio C, Montico, Marcella, Mooney, Meghan D, Moradi-Lakeh, Maziar, Moraga, Paula, Morawska, Lidia, Morozoff, Chloe, Morrison, Shane D, Mountjoy-Venning, Cliff, Mruts, Kalayu Birhane, Muller, Kate, Murray, Christopher J L, Murthy, Gudlavalleti Venkata Satyanarayana, Musa, Kamarul Imran, Nachega, Jean B, Naghavi, Mohsen, Naheed, Aliya, Naldi, Luigi, Nangia, Vinay, Nascimento, Bruno Ramo, Nasher, Jamal T, Natarajan, Gopalakrishnan, Negoi, Ionut, 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, Noubiap, Jean Jacques N, Ogbo, Felix Akpojene, Oh, In-Hwan, Okoro, Anselm, Olagunju, Andrew Toyin, Olsen, Helen E, Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Ong, Kanyin, Opio, John Nelson, Oren, Eyal, Ortiz, Alberto, Osman, Majdi, Ota, Erika, PA, Mahesh, Pacella, Rosana E, Pakhale, Smita, Pana, Adrian, Panda, Basant Kumar, Panda-Jonas, Songhomitra, Papachristou, Christina, Park, Eun-Kee, Patten, Scott B, Patton, George C, Paudel, Deepak, Paulson, Katherine, Pereira, David M, Perez-Ruiz, Fernando, Perico, Norberto, Pervaiz, Aslam, Petzold, Max, Phillips, Michael Robert, Pigott, David M, Pinho, Christine, Plass, Dietrich, Pletcher, Martin A, Polinder, Suzanne, Postma, Maarten J, Pourmalek, Farshad, Purcell, Caroline, Qorbani, Mostafa, Quintanilla, Beatriz Paulina Ayala, Radfar, Amir, Rahimi-Movaghar, Vafa, Rahman, Mohammad Hifz Ur, Rahman, Mahfuzar, Rai, Rajesh Kumar, Ranabhat, Chhabi Lal, Rankin, Zane, Rao, Puja C, Rath, Goura Kishor, Rawaf, Salman, Ray, Sarah E, Rehm, Jürgen, Reiner, Robert C, Reitsma, Marissa B, Remuzzi, Giuseppe, Rezaei, Satar, Rezai, Mohammad Sadegh, Rokni, Mohammad Bagher, Ronfani, Luca, Roshandel, Gholamreza, Roth, Gregory A, Rothenbacher, Dietrich, Ruhago, George Mugambage, SA, Rizwan, Saadat, Soheil, Sachdev, Perminder S, Sadat, Nafi, Safdarian, Mahdi, Safi, Sare, Safiri, Saeid, Sagar, Rajesh, Sahathevan, Ramesh, Salama, Joseph, Salamati, Payman, Salomon, Joshua A, Samy, Abdallah M, Sanabria, Juan Ramon, Sanchez-Niño, Maria Dolore, Santomauro, Damian, Santos, Itamar S, Santric Milicevic, Milena M, Sartorius, Benn, Satpathy, Maheswar, Schmidt, Maria Inê, Schneider, Ione J C, Schulhofer-Wohl, Sam, Schutte, Aletta E, Schwebel, David C, Schwendicke, Falk, Sepanlou, Sadaf G, Servan-Mori, Edson E, Shackelford, Katya Anne, Shahraz, Saeid, Shaikh, Masood Ali, Shamsipour, Mansour, Shamsizadeh, Morteza, Sharma, Jayendra, Sharma, Rajesh, She, Jun, Sheikhbahaei, Sara, Shey, Muki, Shields, Chloe, Shigematsu, Mika, Shiri, Rahman, Shirude, Shreya, Shiue, Ivy, Shoman, Haitham, Shrime, Mark G, Sigfusdottir, Inga Dora, Silpakit, Nari, Silva, João Pedro, Singh, Jasvinder A, Singh, Abhishek, Skiadaresi, Eirini, Sligar, Amber, Smith, David L, Smith, Alison, Smith, Mari, Sobaih, Badr H A, Soneji, Samir, Sorensen, Reed J D, Soriano, Joan B, Sreeramareddy, Chandrashekhar T, Srinivasan, Vinay, Stanaway, Jeffrey D, Stathopoulou, Vasiliki, Steel, Nichola, Stein, Dan J, Steiner, Caitlyn, Steinke, Sabine, Stokes, Mark Andrew, Strong, Mark, Strub, Bryan, Subart, Michelle, Sufiyan, Muawiyyah Babale, Sunguya, Bruno F, Sur, Patrick J, Swaminathan, Soumya, Sykes, Bryan L, Tabarés-Seisdedos, Rafael, Tadakamadla, Santosh Kumar, Takahashi, Ken, Takala, Jukka S, Talongwa, Roberto Tchio, Tarawneh, Mohammed Rasoul, Tavakkoli, Mohammad, Taveira, Nuno, Tegegne, Teketo Kassaw, Tehrani-Banihashemi, Arash, Temsah, Mohamad-Hani, Terkawi, Abdullah Sulieman, Thakur, J.S., Thamsuwan, Ornwipa, Thankappan, Kavumpurathu Raman, Thomas, Katie E, Thompson, Alex H, Thomson, Alan J, Thrift, Amanda G, Tobe-Gai, Ruoyan, Topor-Madry, Roman, Torre, Anna, Tortajada, Miguel, Towbin, Jeffrey Allen, Tran, Bach Xuan, Troeger, Christopher, Truelsen, Thoma, Tsoi, Derrick, Tyrovolas, Stefano, Ukwaja, Kingsley N, Undurraga, Eduardo A, Updike, Rachel, Uthman, Olalekan A, Uzochukwu, Benjamin S Chudi, van Boven, Job F M, Vasankari, Tommi, Venketasubramanian, Narayanaswamy, Violante, Francesco S, Vlassov, Vasiliy Victorovich, Vollset, Stein Emil, Vos, Theo, Wakayo, Tolassa, Wallin, Mitchell T, Wang, Yuan-Pang, Weiderpass, Elisabete, Weintraub, Robert G, Weiss, Daniel J, Werdecker, Andrea, Westerman, Ronny, Whetter, Brian, Whiteford, Harvey A, Wijeratne, Tissa, Wiysonge, Charles Shey, Woldeyes, Belete Getahun, Wolfe, Charles D A, Woodbrook, Rachel, Workicho, Abdulhalik, Xavier, Deni, Xiao, Qingyang, Xu, Gelin, Yaghoubi, Mohsen, Yakob, Bereket, Yano, Yuichiro, Yaseri, Mehdi, Yimam, Hassen Hamid, Yonemoto, Naohiro, Yoon, Seok-Jun, Yotebieng, Marcel, Younis, Mustafa Z, Zaidi, Zoubida, Zaki, Maysaa El Sayed, Zegeye, Elias Asfaw, Zenebe, Zerihun Menlkalew, Zerfu, Taddese Alemu, Zhang, Anthony Lin, Zhang, Xueying, Zipkin, Ben, Zodpey, Sanjay, Giref, Ababi Zergaw, Rafay, Anwar, Tuzcu, Emin Murat, Ermakov, Sergey Petrovich, Shi, Peilin, Gupta, Parkash C, Erasmus MC other, Public Health, Neurosciences, Viðskiptadeild (HR), School of Business (RU), Háskólinn í Reykjavík, Reykjavik University, Mohsen, Naghavi, Amanuel, Alemu, Abajobir, Cristiana, Abbafati, Kaja, M, Abbas, Foad, Abd Allah, Semaw, Ferede, Abera, Victor, Aboyan, Olatunji, Adetokunboh, Johan, Ärnlöv, Ashkan, Afshin, Anurag, Agrawal, Aliasghar, Ahmad, Kiadaliri, Alireza, Ahmadi, Muktar, Beshir, Ahmed, Amani, Nidhal, Aichour, Ibtihel, Aichour, Miloud, Taki, Eddine, Aichour, Sneha, Aiyar, Ayman, Al Eyadhy, Fares, Alahdab, Ziyad, Al Aly, Khurshid, Alam, Noore, Alam, Tahiya, Alam, Kefyalew, Addi, Alene, Syed, Danish, Ali, Reza, Alizadeh Navaei, Juma, M, Alkaabi, Ala’A, Alkerwi, François, Alla, Peter, Allebeck, Christine, Allen, Rajaa, Al Raddadi, Ubai, Alsharif, Khalid, A, Altirkawi, Nelson, Alvis Guzman, Azmeraw, T, Amare, Erfan, Amini, Walid, Ammar, Yaw, Ampem, Amoako, Nahla, Anber, Hjalte, H, Andersen, Catalina, Liliana, Andrei, Sofia, Androudi, Hossein, Ansari, Carl, Abelardo, T, Antonio, Palwasha, Anwari, Megha, Arora, Al, Artaman, Krishna, Kumar, Aryal, Hamid, Asayesh, Solomon, W, Asgedom, Tesfay, Mehari, Atey, Leticia, Avila Burgo, Euripide, Frinel, G, Arthur, Avokpaho, Ashish, Awasthi, Beatriz, Paulina, Ayala, Quintanilla, Yannick, Béjot, Tesleem, Kayode, Babalola, Umar, Bacha, Kalpana, Balakrishnan, Aleksandra, Barac, Miguel, A, Barboza, Suzanne, L, Barker, Collo, Simon, Barquera, Lars, Barregard, Lope, H, Barrero, Bernhard, T, Baune, Neeraj, Bedi, Ettore, Beghi, Bayu, Begashaw, Bekele, Michelle, L, Bell, James, R, Bennett, Isabela, M, Bensenor, Adugnaw, Berhane, Eduardo, Bernabé, Balem, Demtsu, Betsu, Mircea, Beuran, Samir, Bhatt, Sibhatu, Biadgilign, Kelly, Bienhoff, Boris, Bikbov, Donal, Bisanzio, Rupert, R, A, Bourne, Nicholas, J, K, Breitborde, Lemma, Negesa, Bulto, Bulto, Blair, R, Bumgarner, Zahid, A, Butt, Rosario, Cárdena, Lucero, Cahuana Hurtado, Ewan, Cameron, Julio, Cesar, Campuzano, Josip, Car, Juan, Jesu, Carrero, Austin, Carter, Daniel, C, Casey, Carlo, A, Castañeda, Orjuela, Ferrán, Catalá López, Fiona, J, Charlson, Chioma, Ezinne, Chibueze, Odgerel, Chimed Ochir, Vesper, Hichilombwe, Chisumpa, Abdulaal, A, Chitheer, Devasahayam, Jesuda, Christopher, Liliana, G, Ciobanu, Aaron, J, and Cohen
Subjects: Dánarmein, Male, Heilsufar, Dánartíðni, Newborn infants, Lífslíkur, Life expectancy, Communicable diseases, Global Health, Global Burden of Disease, Disasters, Pregnancy, Cause of Death, Psychology, Child, Konur, Aged, 80 and over, Ungbörn, CLIMATE-CHANGE, PLASMODIUM-FALCIPARUM, Kransæðasjúkdómar, Global burden of disease/statistics and numerical data, Medicine (all), Men, Þjóðir, Öndunarfærasjúkdómar, 11 Medical And Health Sciences, Middle Aged, Nutrition Disorders, PREVALENCE, Coronary heart disease, Smitsjúkdómar, Death, Suicide, Cardiovascular diseases, Sálfræði, World health, Child, Preschool, Nýburar, Female, GBD, mortality, Infants, Life Sciences & Biomedicine, Age distribution, Global Health Metrics, Adult, Diarrhea, AFRICA, HUMAN HEALTH, Adolescent, GBD, UNITED-STATES, Socioeconomic factors, Communicable Diseases, Young Adult, Age Distribution, Heilbrigðisvísindi, Medicine, General & Internal, General & Internal Medicine, Humans, QUALITY, Women, Nutrition disorders, INCOME COUNTRIES, Mortality, Noncommunicable Diseases, Aged, Science & Technology, Infant, Newborn, Infant, Respiratory infections, Næringarskortur, ALCOHOL POLICY, mortality, Malaria, Pregnancy Complications, Socioeconomic Factors, Áverkar, Karlar, Wounds and Injuries, Félagshagfræði, Accidental Falls, Cause of death/trends, RESISTANCE
Abstract: Correction: Group Author(s): GBD 2016 Causes Death LANCET Volume: 390 Issue: 10106 Pages: E38-E38 Published: OCT 28 2017 Group Author(s): GBD 2016 Dis Injury Incidence LANCET Volume: 390 Issue: 10106 Pages: E38-E38 Published: OCT 28 2017, Background Monitoring 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. Methods We 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. Findings The 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. Interpretation The 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., Bill & Melinda Gates Foundation.
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20 results on '"Ansari, Hossein"'

1. Global, Regional, and Country-Specific Lifetime Risks of Stroke, 1990 and 2016

2. Global, Regional, and Country-Specific Lifetime Risks of Stroke, 1990 and 2016.

3. 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

4. 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

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

6. 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

7. 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

8. 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

9. Global, Regional, and National Burden of Cardiovascular Diseases for 10 Causes, 1990 to 2015

10. 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

11. 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

12. Burden of lower respiratory infections in the Eastern Mediterranean Region between 1990 and 2015: findings from the Global Burden of Disease 2015 study

13. 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

14. Sleep Quality in Medical Students; the Impact of Over-Use of Mobile CellPhone and Social Networks

15. Transport injuries and deaths in the Eastern Mediterranean Region: findings from the Global Burden of Disease 2015 Study

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

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

18. Phylogenetic Groups ofEscherichia coliStrains from Patients with Urinary Tract Infection in Iran Based on the New Clermont Phylotyping Method

19. Global, Regional, and National Burden of Cardiovascular Diseases for 10 Causes, 1990 to 2015

20. 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

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20 results on '"Ansari, Hossein"'

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