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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

dc.contributor.authorRoth, Gregory A.
dc.contributor.authorAbate, Degu
dc.contributor.authorAbate, Kalkidan Hassen
dc.contributor.authorAbay, Solomon M.
dc.contributor.authorAbbafati, Cristiana
dc.contributor.authorAbbasi, Nooshin
dc.contributor.authorMurray, Christopher J. L.
dc.date.accessioned2026-10-09T21:48:37Z
dc.date.issued2018
dc.departmentYüksek İhtisas Üniversitesi
dc.description.abstractBackground 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.
dc.description.sponsorshipBill AMP; Melinda Gates Foundation; University of Melbourne; Public Health England; Norwegian Institute of Public Health; St Jude Children's Research Hospital; National Institute on Ageing of the National Institutes of Health [P30AG047845]; National Institute of Mental Health of the National Institutes of Health [R01MH110163]; United States Agency for International Development (USAID); USAID [GPO-A-00-08-000_D3-00]; British Heart Foundation [RG/13/13/30194] Funding Source: researchfish; Cancer Foundation Finland sr [180129, 160100] Funding Source: researchfish; Chief Scientist Office [SCAF/15/02] Funding Source: researchfish; Medical Research Council [HDR-5009, HDR-1004, MR/M015084/1, MR/K010174/1B, MR/R015600/1, MC_UU_12026/2, MR/L003120/1] Funding Source: researchfish; National Institute for Health Research [NF-SI-0617-10113, NF-SI-0512-10165] Funding Source: researchfish; Wellcome Trust [206471/Z/17/Z, 201900/Z/16/Z] Funding Source: researchfish; MRC [MR/M015084/1, MR/R015600/1, MR/L003120/1] Funding Source: UKRI
dc.description.sponsorshipBill & Melinda Gates Foundation.r Research reported in this publication was supported by the Bill & Melinda Gates Foundation, the University of Melbourne, Public Health England, the Norwegian Institute of Public Health, St Jude Children's Research Hospital, the National Institute on Ageing 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 funders. 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. Collection of these data was made possible by 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 US Government. The data reported here have been supplied by the US Renal Data System. The interpretation and reporting of these data are the responsibility of the authors and in no way should be seen as an official policy or interpretation of the US Government.
dc.identifier.doi10.1016/S0140-6736(18)32203-7
dc.identifier.endpage1788
dc.identifier.issn0140-6736
dc.identifier.issn1474-547X
dc.identifier.issue10159
dc.identifier.orcid0000-0002-1358-1321
dc.identifier.orcid0000-0002-3826-0583
dc.identifier.orcid0000-0003-4408-7059
dc.identifier.orcid0000-0001-9217-4937
dc.identifier.orcid0000-0001-7100-9262
dc.identifier.orcid0000-0002-7301-277X
dc.identifier.orcid0000-0002-5043-5526
dc.identifier.pmid30496103
dc.identifier.scopus2-s2.0-85056166310
dc.identifier.scopusqualityQ1
dc.identifier.startpage1736
dc.identifier.urihttps://doi.org/10.1016/S0140-6736(18)32203-7
dc.identifier.urihttps://hdl.handle.net/20.500.12794/3586
dc.identifier.volume392
dc.identifier.wosWOS:000449710900004
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.indekslendigikaynak.digerScience Citation Index Expanded (SCI-EXPANDED)
dc.language.isoen
dc.publisherElsevier Science Inc
dc.relation.ispartofLancet
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.relation.sdgGoal-03: Good Health and Well-Being
dc.relation.sdgGoal-16: Peace, Justice and Strong Institutions
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WoS_20260922
dc.subjectAlzheimers-Disease
dc.subjectPrevalence
dc.subjectTrends
dc.subjectRegistration
dc.subjectIndividuals
dc.subjectDementia
dc.subjectBarriers
dc.subjectPriority
dc.subjectChildren
dc.subjectProgress
dc.titleGlobal, 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
dc.typeArticle

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