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1000 Titel
  • Global, regional, and national disability-adjusted life-years (DALYs) for 315 diseases and injuries and healthy life expectancy (HALE), 1990–2015: A systematic analysis for the Global Burden of Disease Study 2015
1000 Autor/in
  1. GBD 2015 DALYs and HALE Collaborators |
  2. Zeeb, Hajo |
1000 Erscheinungsjahr 2016
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2016-10-08
1000 Erschienen in
1000 Quellenangabe
  • 388(10053): 1603-1658
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2016
1000 Lizenz
1000 Verlagsversion
  • http://dx.doi.org/10.1016/S0140-6736(16)31460-X |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5388857/ |
1000 Ergänzendes Material
  • http://www.sciencedirect.com/science/article/pii/S014067361631460X?via%3Dihub#sec1 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • BACKGROUND: Healthy life expectancy (HALE) and disability-adjusted life-years (DALYs) provide summary measures of health across geographies and time that can inform assessments of epidemiological patterns and health system performance, help to prioritise investments in research and development, and monitor progress toward the Sustainable Development Goals (SDGs). We aimed to provide updated HALE and DALYs for geographies worldwide and evaluate how disease burden changes with development. METHODS: We used results from the Global Burden of Diseases, Injuries, and Risk Factors Study 2015 (GBD 2015) for all-cause mortality, cause-specific mortality, and non-fatal disease burden to derive HALE and DALYs by sex for 195 countries and territories from 1990 to 2015. We calculated DALYs by summing years of life lost (YLLs) and years of life lived with disability (YLDs) for each geography, age group, sex, and year. We estimated HALE using the Sullivan method, which draws from age-specific death rates and YLDs per capita. We then assessed how observed levels of DALYs and HALE differed from expected trends calculated with the Socio-demographic Index (SDI), a composite indicator constructed from measures of income per capita, average years of schooling, and total fertility rate. FINDINGS: Total global DALYs remained largely unchanged from 1990 to 2015, with decreases in communicable, neonatal, maternal, and nutritional (Group 1) disease DALYs offset by increased DALYs due to non-communicable diseases (NCDs). Much of this epidemiological transition was caused by changes in population growth and ageing, but it was accelerated by widespread improvements in SDI that also correlated strongly with the increasing importance of NCDs. Both total DALYs and age-standardised DALY rates due to most Group 1 causes significantly decreased by 2015, and although total burden climbed for the majority of NCDs, age-standardised DALY rates due to NCDs declined. Nonetheless, age-standardised DALY rates due to several high-burden NCDs (including osteoarthritis, drug use disorders, depression, diabetes, congenital birth defects, and skin, oral, and sense organ diseases) either increased or remained unchanged, leading to increases in their relative ranking in many geographies. From 2005 to 2015, HALE at birth increased by an average of 2·9 years (95% uncertainty interval 2·9-3·0) for men and 3·5 years (3·4-3·7) for women, while HALE at age 65 years improved by 0·85 years (0·78-0·92) and 1·2 years (1·1-1·3), respectively. Rising SDI was associated with consistently higher HALE and a somewhat smaller proportion of life spent with functional health loss; however, rising SDI was related to increases in total disability. Many countries and territories in central America and eastern sub-Saharan Africa had increasingly lower rates of disease burden than expected given their SDI. At the same time, a subset of geographies recorded a growing gap between observed and expected levels of DALYs, a trend driven mainly by rising burden due to war, interpersonal violence, and various NCDs. INTERPRETATION: Health is improving globally, but this means more populations are spending more time with functional health loss, an absolute expansion of morbidity. The proportion of life spent in ill health decreases somewhat with increasing SDI, a relative compression of morbidity, which supports continued efforts to elevate personal income, improve education, and limit fertility. Our analysis of DALYs and HALE and their relationship to SDI represents a robust framework on which to benchmark geography-specific health performance and SDG progress. Country-specific drivers of disease burden, particularly for causes with higher-than-expected DALYs, should inform financial and research investments, prevention efforts, health policies, and health system improvement initiatives for all countries along the development continuum. FUNDING: Bill & Melinda Gates Foundation.
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/creator/R0JEIDIwMTUgREFMWXMgYW5kIEhBTEUgQ29sbGFib3JhdG9ycw==|http://orcid.org/0000-0001-7509-242X
1000 Label
1000 Förderer
  1. US Agency for International Development (USAID) |
  2. European Commission |
  3. German Ministry of Education and Research |
  4. US National Institute on Aging |
  5. Swiss National Science Foundation |
  6. Wellcome Trust |
  7. Bill & Melinda Gates Foundation |
  8. National Health and Medical Research Council |
  9. Wellcome Trust-DBT India Alliance |
  10. International Society of Nephrology (ISN) |
  11. Sistema Nacional de Investigadores de Panamá-SNI |
  12. Fundação para a Ciência e a Tecnologia, Portugal |
  13. National Natural Sciences Foundation of China |
  14. Human Sciences Research Council (HSRC) |
  15. University of KwaZulu-Natal (UKZN), South Africa |
  16. Public Health England |
1000 Fördernummer
  1. GPO-A-00-08-000_D3-00
  2. QLK6-CT-2001-00360; SHARE-I3: RII-CT-2006-062193; COMPARE: CIT5-CT-2005-028857; SHARELIFE: CIT4-CT-2006-028812; SHARE-PREP: number 211909; SHARE-LEAP: number 227822; SHARE M4: number 261982
  3. -
  4. U01_AG09740-13S2; P01_AG005842; P01_AG08291; P30_AG12815; R21_AG025169; Y1-AG-4553-01; IAG_BSR06-11; OGHA_04-064
  5. -
  6. #095066
  7. OPP1119467; OPP1093011; OPP1106023; OPP1132415
  8. GNT1042600
  9. 2015–2020
  10. -
  11. -
  12. SFRH/BPD/92934/2013
  13. 71233001; 71490732
  14. -
  15. -
  16. -
1000 Förderprogramm
  1. -
  2. FP5; FP6; FP7
  3. -
  4. -
  5. -
  6. Senior Research Fellowship
  7. -
  8. fellowship
  9. Clinical and Public Health, Intermediate Fellowship
  10. -
  11. -
  12. Fellowship
  13. -
  14. African Research Fellow
  15. institutional support
  16. Visiting Scholar in the Institute for Health Metrics and Evaluation in 2016
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer US Agency for International Development (USAID) |
    1000 Förderprogramm -
    1000 Fördernummer GPO-A-00-08-000_D3-00
  2. 1000 joinedFunding-child
    1000 Förderer European Commission |
    1000 Förderprogramm FP5; FP6; FP7
    1000 Fördernummer QLK6-CT-2001-00360; SHARE-I3: RII-CT-2006-062193; COMPARE: CIT5-CT-2005-028857; SHARELIFE: CIT4-CT-2006-028812; SHARE-PREP: number 211909; SHARE-LEAP: number 227822; SHARE M4: number 261982
  3. 1000 joinedFunding-child
    1000 Förderer German Ministry of Education and Research |
    1000 Förderprogramm -
    1000 Fördernummer -
  4. 1000 joinedFunding-child
    1000 Förderer US National Institute on Aging |
    1000 Förderprogramm -
    1000 Fördernummer U01_AG09740-13S2; P01_AG005842; P01_AG08291; P30_AG12815; R21_AG025169; Y1-AG-4553-01; IAG_BSR06-11; OGHA_04-064
  5. 1000 joinedFunding-child
    1000 Förderer Swiss National Science Foundation |
    1000 Förderprogramm -
    1000 Fördernummer -
  6. 1000 joinedFunding-child
    1000 Förderer Wellcome Trust |
    1000 Förderprogramm Senior Research Fellowship
    1000 Fördernummer #095066
  7. 1000 joinedFunding-child
    1000 Förderer Bill & Melinda Gates Foundation |
    1000 Förderprogramm -
    1000 Fördernummer OPP1119467; OPP1093011; OPP1106023; OPP1132415
  8. 1000 joinedFunding-child
    1000 Förderer National Health and Medical Research Council |
    1000 Förderprogramm fellowship
    1000 Fördernummer GNT1042600
  9. 1000 joinedFunding-child
    1000 Förderer Wellcome Trust-DBT India Alliance |
    1000 Förderprogramm Clinical and Public Health, Intermediate Fellowship
    1000 Fördernummer 2015–2020
  10. 1000 joinedFunding-child
    1000 Förderer International Society of Nephrology (ISN) |
    1000 Förderprogramm -
    1000 Fördernummer -
  11. 1000 joinedFunding-child
    1000 Förderer Sistema Nacional de Investigadores de Panamá-SNI |
    1000 Förderprogramm -
    1000 Fördernummer -
  12. 1000 joinedFunding-child
    1000 Förderer Fundação para a Ciência e a Tecnologia, Portugal |
    1000 Förderprogramm Fellowship
    1000 Fördernummer SFRH/BPD/92934/2013
  13. 1000 joinedFunding-child
    1000 Förderer National Natural Sciences Foundation of China |
    1000 Förderprogramm -
    1000 Fördernummer 71233001; 71490732
  14. 1000 joinedFunding-child
    1000 Förderer Human Sciences Research Council (HSRC) |
    1000 Förderprogramm African Research Fellow
    1000 Fördernummer -
  15. 1000 joinedFunding-child
    1000 Förderer University of KwaZulu-Natal (UKZN), South Africa |
    1000 Förderprogramm institutional support
    1000 Fördernummer -
  16. 1000 joinedFunding-child
    1000 Förderer Public Health England |
    1000 Förderprogramm Visiting Scholar in the Institute for Health Metrics and Evaluation in 2016
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6405717.rdf
1000 Erstellt am 2017-12-07T11:00:37.816+0100
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1000 beschreibt frl:6405717
1000 Bearbeitet von 218
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1000 Vgl. frl:6405717
1000 Oai Id
  1. oai:frl.publisso.de:frl:6405717 |
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