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
GBD 2016 Causes of Death Collaborators
Abstract
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.
Funding: Bill & Melinda Gates Foundation.
Copyright © 2017 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Published by Elsevier Ltd.. All rights reserved.
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References
- Dybul M, Piot P, Frenk J. Reshaping global health. Policy Rev. 2012;173:3–18.
- Jamison DT, Summers LH, Alleyne G. Global health 2035: a world converging within a generation. Lancet. 2013;382:1898–1955.
- Wang H, Naghavi M, Allen C. Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980–2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet. 2016;388:1459–1544.
- Alkema L, Chou D, Hogan D. Global, regional, and national levels and trends in maternal mortality between 1990 and 2015, with scenario-based projections to 2030: a systematic analysis by the UN Maternal Mortality Estimation Inter-Agency Group. Lancet. 2016;387:462–474.
- WHO . Global tuberculosis report 2015. World Health Organization; Geneva: 2017.
- WHO . Global tuberculosis report 2016. World Health Organization; Geneva: 2016.
- WHO . World malaria report 2016. World Health Organization; Geneva: 2016.
- WHO . Global status report on road safety 2015. World Health Organization; Geneva: 2015.
- United Nations Office on Drugs and Crime . World drug report 2016. United Nations Office on Drugs and Crime; Vienna: 2016.
- WHO . Global status report on violence prevention 2014. World Health Organization; Geneva: 2014. (accessed March 13, 2017).
- WHO . Global health estimates 2015: deaths by cause, age, sex, by country and by region, 2000–2015. World Health Organization; Geneva: 2017. (accessed March 14, 2017).
- UNAIDS . 2016 Progress reports submitted by countries. UNAIDS; 2016. (accessed March 13, 2017).
- Levine MM, Kotloff KL. Global Enteric Multicenter Study (GEMS) (accessed March 13, 2017).
- Department of Peace and Conflict Research . Uppsala Conflict Data Program. Uppsala University; Uppsala, Sweden: 2017. published online March 13. (accessed March 13, 2017).
- International Agency for Research on Cancer . Globocan 2012: estimated cancer incidence, mortality, and prevlance worldwide in 2012. World Health Organization; Geneva: 2017. (accessed March 14, 2017).
- INDEPTH Network Better Health Information for Better Health Policy. (accessed March 13, 2017).
- United Nations Economic and Social Council . Report of the Inter-Agency and Expert Group on the Sustainable Development Goal Indicators. United Nations; New York: 2016. (accessed March 14, 2017).
- CHERG Child Health Epidemiology Reference Group. (accessed March 13, 2017).
- WHO . WHO methods and data sources for country-level causes of death 2000-2015. World Health Organization; Geneva: 2016.
- Gupta M, Rao C, Lakshmi PVM, Prinja S, Kumar R. Estimating mortality using data from civil registration: a cross-sectional study in India. Bull World Health Organ. 2016;94:10–21.
- GBD 2016 Mortality Collaborators Global, regional, and national under-5 mortality, adult mortality, age-specific mortality, and life expectancy, 1970–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet. 2017;390:1084–1150.
- Naghavi M, Makela S, Foreman K, O'Brien J, Pourmalek F, Lozano R. Algorithms for enhancing public health utility of national causes-of-death data. Popul Health Metr. 2010;8:9.
- Hernández B, Ramírez-Villalobos D, Romero M, Gómez S, Atkinson C, Lozano R. Assessing quality of medical death certification: Concordance between gold standard diagnosis and underlying cause of death in selected Mexican hospitals. Popul Health Metr. 2011;9:38.
- Wang H, Wolock TM, Carter A. Estimates of global, regional, and national incidence, prevalence, and mortality of HIV, 1980–2015: the Global Burden of Disease Study 2015. Lancet HIV. 2016;3:e361–e387.
- Lozano R, Naghavi M, Foreman K. Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet. 2012;380:2095–2128.
- GBD 2013 Mortality and Causes of Death Collaborators Global, regional, and national age–sex specific all-cause and cause-specific mortality for 240 causes of death, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2015;385:117–171.
- Vos T, Allen C, Arora M. Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet. 2016;388:1545–1602.
- Gething PW, Casey DC, Weiss DJ. Mapping Plasmodium falciparum mortality in Africa between 1990 and 2015. N Engl J Med. 2016;375:2435–2445.
- Flaxman AD, Vos T, Murray CJL. An Integrative Metaregression Framework for Descriptive Epidemiology. 1st edn. University of Washington Press; Seattle: 2015.
- Tudor Hart J. The inverse care law. Lancet. 1971;297:405–412.
- Coovadia H, Moodley D. Using PMTCT to raise overall health and development. Lancet HIV. 2016;3:e192–e193.
- Neufeld M, Rehm J. Alcohol consumption and mortality in Russia since 2000: are there any changes following the alcohol policy changes starting in 2006? Alcohol Alcohol. 2013;48:222–230.
- Leon DA, Saburova L, Tomkins S. Hazardous alcohol drinking and premature mortality in Russia: a population based case-control study. Lancet. 2007;369:2001–2009.
- Pridemore WA, Chamlin MB, Kaylen MT, Andreev E. The effects of the 2006 Russian Alcohol Policy on alcohol-related mortality: an interrupted time series analysis. Alcohol Clin Exp Res. 2014;38:257–266.
- Jakovljevic M, Riegler A, Jovanovic M. Serbian and Austrian alcohol-dependent patients: a comparison of two samples regarding therapeutically relevant clinical features. Alcohol Alcohol Oxf Oxfs. 2013;48:505–508.
- Nolte E, McKee M. Variations in amenable mortality—trends in 16 high-income nations. Health Policy. 2011;103:47–52.
- Nolte E, McKee CM. Measuring the health of nations: updating an earlier analysis. Health Aff (Millwood) 2008;27:58–71.
- Nolte E, McKee M. Measuring the health of nations: analysis of mortality amenable to health care. J Epidemiol Community Health. 2004;58:326.
- Nolte E, McKee M. Does health care save lives? Avoidable mortality revisited. The Nuffield Trust. 2004. (accessed Jan 12, 2017).
- Barber RM, Fullman N, Sorensen RJD. Healthcare Access and Quality Index based on mortality from causes amenable to personal health care in 195 countries and territories, 1990–2015: a novel analysis from the Global Burden of Disease Study 2015. Lancet. 2017 published online May 18.
- Ford ES, Ajani UA, Croft JB. Explaining the decrease in U.S. deaths from coronary disease, 1980–2000. N Engl J Med. 2007;356:2388–2398.
- Tunstall-Pedoe H, Kuulasmaa K, Mähönen M, Tolonen H, Ruokokoski E. Contribution of trends in survival and coronary-event rates to changes in coronary heart disease mortality: 10-year results from 37 WHO MONICA Project populations. Lancet. 1999;353:1547–1557.
- Dieleman JL, Schneider MT, Haakenstad A. Development assistance for health: past trends, associations, and the future of international financial flows for health. Lancet. 2016;387:2536–2544.
- Haakenstad A, Birger M, Singh L. Vaccine assistance to low- and middle-income countries increased to $3.6 billion in 2014. Health Aff (Millwood) 2016;35:242–249.
- Bollyky TJ, Templin T, Andridge C, Dieleman JL. Understanding the relationships between noncommunicable diseases, unhealthy lifestyles, and country wealth. Health Aff (Millwood) 2015;34:1464–1471.
- Anderson CL, Becher H, Winkler V. Tobacco control progress in low and middle income countries in comparison to high income countries. Int J Environ Res Public Health. 2016;13 pii: E1039.
- Ly KN, Hughes EM, Jiles RB, Holmberg SD. Rising mortality associated with hepatitis C virus in the United States, 2003–2013. Clin Infect Dis. 2016;62:1287–1288.
- Patz JA, Campbell-Lendrum D, Holloway T, Foley JA. Impact of regional climate change on human health. Nature. 2005;438:310–317.
- McMichael AJ, Woodruff RE, Hales S. Climate change and human health: present and future risks. Lancet. 2006;367:859–869.
- Bhatt S, Weiss DJ, Cameron E. The effect of malaria control on Plasmodium falciparum in Africa between 2000 and 2015. Nature. 2015;526:207–211.
- Whitmee S, Haines A, Beyrer C. Safeguarding human health in the Anthropocene epoch: report of The Rockefeller Foundation–Lancet Commission on planetary health. Lancet. 2015;386:1973–2028.
- Shallcross LJ, Howard SJ, Fowler T, Davies SC. Tackling the threat of antimicrobial resistance: from policy to sustainable action. Philos Trans R Soc Lond B Biol Sci. 2015;370:20140082.
- Spellberg B, Bartlett JG, Gilbert DN. The future of antibiotics and resistance. N Engl J Med. 2013;368:299–302.
- Ramsey R, Giskes K, Turrell G, Gallegos D. Food insecurity among adults residing in disadvantaged urban areas: potential health and dietary consequences. Public Health Nutr. 2012;15:227–237.
- Gregg EW, Li Y, Wang J. Changes in diabetes-related complications in the United States, 1990–2010. N Engl J Med. 2014;370:1514–1523.
- Shah AD, Langenberg C, Rapsomaniki E. Type 2 diabetes and incidence of cardiovascular diseases: a cohort study in 1·9 million people. Lancet Diabetes Endocrinol. 2015;3:105–113.
- Tapp C, Burkle FM, Wilson K. Iraq War mortality estimates: a systematic review. Confl Health. 2008;2:1.
- Burnham G, Roberts L. A debate over Iraqi death estimates. Science. 2006;314:1241.
- Burnham G, Lafta R, Doocy S, Roberts L. Mortality after the 2003 invasion of Iraq: a cross-sectional cluster sample survey. Lancet. 2006;368:1421–1428.
- Burnham G, Doocy S, Dzeng E, Lafta R, Roberts L. The Human Cost of the War in Iraq. A Mortality Study, 2002–2006. Bloomberg School of Public Health, Johns Hopkins University; School of Medicine, Al Mustansiriya University; Center for International Studies, Massachusetts Institute of Technology; Baltimore, MD: 2016.
- Messina JP, Brady OJ, Scott TW. Global spread of dengue virus types: mapping the 70 year history. Trends Microbiol. 2014;22:138–146.
- Case A, Deaton A. Mortality and morbidity in the 21st century. Brook Pap Econ Act 2017. (accessed Sept 1, 2017). 23–24. .
- Murray CJ, Lopez AD, Black R. Population Health Metrics Research Consortium gold standard verbal autopsy validation study: design, implementation, and development of analysis datasets. Popul Health Metr. 2011;9:27.
- Lopez AD, Setel PW. Better health intelligence: a new era for civil registration and vital statistics? BMC Med. 2015;13:73.
- Delnord M, Hindori-Mohangoo A, Smith L. Variations in very preterm birth rates in 30 high-income countries: are valid international comparisons possible using routine data? BJOG. 2017;124:785–794.
- Roth GA, Johnson C, Abajobir A. Global, Regional, and National Burden of Cardiovascular Diseases for 10 Causes, 1990 to 2015. J Am Coll Cardiol. 2017;70:1–25.
- Golding N, Burstein R, Longbottom J. Mapping under-5 and neonatal mortality in Africa, 2000–15: a baseline analysis for the Sustainable Development Goals. Lancet. 2017 (in press).
- Lozano R, Lopez AD, Atkinson C, Naghavi M, Flaxman AD, Murray CJ. Performance of physician-certified verbal autopsies: multisite validation study using clinical diagnostic gold standards. Popul Health Metr. 2011;9:32.
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