TY - JOUR
T1 - Global, regional, and national age-sex specific mortality for 264 causes of death, 1980–2016
T2 - A systematic analysis for the Global Burden of Disease Study 2016
AU - Naghavi, Mohsen
AU - Abajobir, Amanuel Alemu
AU - Abbafati, Cristiana
AU - Abbas, Kaja
AU - Abd-Allah, Foad
AU - Abera, Semaw Ferede
AU - Aboyans, Victor
AU - Adetokunboh, Olatunji
AU - Arnlov, Johan
AU - Afshin, Ashkan
AU - Agrawal, Anurag
AU - Kiadaliri, Aliasghar
AU - Ahmadi, Alireza
AU - Ahmed, Muktar Beshir
AU - Aichour, Amani Nidhal
AU - Aichour, Ibtihel
AU - Aichour, Miloud Taki Eddine
AU - Aiyar, Sneha
AU - Al-Eyadhy, Ayman
AU - Alahdab, Fares
AU - KINFU, Yohannes
N1 - Funding Information:
BC acknowledges funding support from the Royal Melbourne Hospital Research Funding Program, and the Health Surveillance Fund, Australian Government Department of Health. DK was supported by NIH NHLBI T32HL007820. PJ reports clinical and public health intermediate fellowship from the Wellcome Trust and Department of Biotechnology, India Alliance (2015-2020). BBB would like to acknowledge University of Gondar. AK's work was supported by the Miguel Servet contract financed by the CP13/00150 and PI15/00862 projects, integrated into the National R + D + I and funded by the ISCIII \u2014General Branch Evaluation and Promotion of Health Research\u2014and the European Regional Development Fund (ERDF-FEDER). MPA was support by Indian Council of Medical Research for financial support [ICMR Grant No. 5/8/4-4 (Env)/2003-NCD-I]. AO is supported by the Spanish Government (Intensificacion and RETIC REDINREN FEDER funds RD16/0009/0001). AMa and Imperial College London are grateful for support from the NW London NIHR Collaboration for Leadership in Applied Health Research & Care. MS would like to acknowledge: GE Foundation, Kletjian Foundation, and Damon Runyon Cancer Research Foundation. SVK receives funds from an NHS Research Scotland Senior Clinical Fellowship (SCAF/15/02), the UK Medical Research Council (MC_UU_12017/13 & MC_UU_12017/15) and Scottish Government Chief Scientist Office (SPHSU13 & SPHSU15). AA would like to acknowledge the Wellcome Trust DBT India Alliance. BdeC is supported by a National Heart Foundation Future Leader Fellowship (100864). JM received a John Cade Fellowship APP1056929 from the National Health and Medical Research Council, and a Niels Bohr Professorship from the Danish National Research Foundation. JFMvB's work on this manuscript was funded by the Department of Clinical Pharmacy & Pharmacology, University Medical Center Groningen, University of Groningen, The Netherlands. JR acknowledged additional funding from WHO as part of the WHO Collaborating Centre. FP-R acknowledges the Asociaci\u00F3n de Reumat\u00F3logos de Cruces. AB reported that she received funding from the project III45005 Ministry of Education, Science and Technological Development, Serbia. JdN was supported in his contribution to this work by a Fellowship from Funda\u00E7\u00E3o para a Ci\u00EAncia e a Tecnologia, Portugal (SFRH/BPD/92934/2013). KD is funded by a Wellcome Trust Intermediate Fellowship in Public Health and Tropical Medicine (grant number 201900). MJ would like to express his gratitude to the Ministry of Science and Education of the Republic of Serbia for Grant number 175014, out of which research projects laying grounds for his contribution were partially financed. BB has received funding from the European Union's Horizon 2020 research and innovation programme under Marie Sklodowska-Curie grant agreement number 703226 and acknowledges that work related to this paper has been done on the behalf of the GBD Genitourinary Disease Expert Group supported by the International Society of Nephrology (ISN). SI received postdoctorate research fellowship from the George Institute for Global Health and career development funds from the High Blood Pressure Research Foundation Australia. JC would like to acknowledge Stockholm County Council and Swedish Heart and Lung Foundation. MM's research was supported by the National Institute for Health Research (NIHR) Biomedical Research Centre at Guy's and St Thomas' NHS Foundation Trust and King's College London. The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health. AES is supported by the South African Department of Science and Technology (SARChI programme) and the South African Medical Research Council. MDS-N was supported by Instituto de Salud Carlos III FIS PI15/00298 and Miguel Servet CP14/00133. AA received financial support from DST, Governtment of India, through INSPIRE Faculty program. NP would like to acknowledge that his contribution to this paper has been as a follow-up of the activites of the GBD 2010 Genitourinary Diseases Expert Group. RT-S was supported in part by grant PROMETEOII/2015/021 from Generalitat Valenciana and the national grand PIE14/00031 from ISCIII-FEDER. ST's work was supported by the Foundation for Education and European Culture (IPEP), the Sara Borrell postdoctoral programme (reference number CD15/00019 from the Instituto de Salud Carlos III [ISCIII - Spain] and the Fondos Europeo de Desarrollo Regional [FEDER]). MY is partially supported by the NICHD R01HD087993 and the NIAID U01AI096299. CK has received support from Brazilian governmental research funding agencies Conselho Nacional de Desenvolvimento Cient\u00EDfico e Tecnol\u00F3gico (CNPq), Coordena\u00E7\u00E3o de Aperfei\u00E7oamento de Pessoal de N\u00EDvel Superior (CAPES), and Funda\u00E7\u00E3o de Amparo \u00E0 Pesquisa do Estado do Rio Grande do Sul (Fapergs). FRM-M would like to acknowledge Coordena\u00E7\u00E3o de Aperfei\u00E7oamento de Pessoal de N\u00EDvel Superior/Coordination for the Improvement of Higher Education Personnel (CAPES) (Brazilian public agency). JCF receives funding support from FCT - Funda\u00E7\u00E3o para a Ci\u00EAncia e a Tecnologia through project UID/Multi/50016/2013. RB would like to acknowledge the Brien Holden Vision Institute. The views expressed herein are those of the authors and not necessarily those of the Federal Reserve Bank of Chicago or the Federal Reserve System. All other authors declare no competing interests.
Funding Information:
Research reported in this publication was supported by the Bill & Melinda Gates Foundation, the National Institute on Aging of the National Institutes of Health (award P30AG047845), and the National Institute of Mental Health of the National Institutes of Health (award R01MH110163). The content is solely the responsibility of the authors and does not necessarily represent the official views of the Bill & Melinda Gates Foundation or the National Institutes of Health. Collection of these data was made possible by the U.S. Agency for International Development (USAID) under the terms of cooperative agreement GPO-A-00-08-000_D3-00. The opinions expressed are those of the authors and do not necessarily reflect the views of USAID or the United States government. Data for this research was provided by MEASURE Evaluation, funded by the United States Agency for International Development (USAID). Views expressed do not necessarily reflect those of USAID, the US government, or MEASURE Evaluation. This manuscript is based on data collected and shared by the International Vaccine Institute (IVI). This manuscript was not prepared in collaboration with investigators of IVI and does not necessarily reflect the opinions or views of IVI.
Publisher Copyright:
Copyright © 2017 The Author(s). Published by Elsevier Ltd.
PY - 2017/9/16
Y1 - 2017/9/16
N2 - 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-specifc 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-specifc 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 specifc 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-specifc 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 signifcantly 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 fve 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 fner 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 confict and terrorism. Increasing levels of YLLs might refect outcomes from conditions that required high levels of care but for which efective treatments remain elusive, potentially increasing costs to health systems.
AB - 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-specifc 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-specifc 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 specifc 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-specifc 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 signifcantly 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 fve 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 fner 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 confict and terrorism. Increasing levels of YLLs might refect outcomes from conditions that required high levels of care but for which efective treatments remain elusive, potentially increasing costs to health systems.
UR - http://www.scopus.com/inward/record.url?scp=85031727040&partnerID=8YFLogxK
U2 - 10.1016/S0140-6736(17)32152-9
DO - 10.1016/S0140-6736(17)32152-9
M3 - Article
C2 - 28919116
SN - 0140-6736
VL - 390
SP - 1151
EP - 1210
JO - The Lancet
JF - The Lancet
IS - 10100
ER -