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Record W7057030965

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

2016· article· en· W7057030965 on OpenAlexfundno aff

Bibliographic record

VenueLume (Universidade Federal do Rio Grande do Sul) · 2016
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
FundersWarwick Medical SchoolUniversity of California, San FranciscoRussian Academy of SciencesMinistry of Health of the Russian FederationINCLIVA Instituto de Investigación SanitariaDuke Kunshan UniversityAfrican Population and Health Research CenterMansoura UniversityNanjing UniversityLeibniz-GemeinschaftUniversity of GondarSri Ramachandra UniversityUppsala UniversitetCentro de Investigación Biomédica en Red de Salud MentalAristotle University of ThessalonikiBahir Dar UniversityHögskolan DalarnaGöteborgs UniversitetWuhan UniversityUniversidade de São PauloRigshospitaletUniversidade Federal de SergipeHaramaya UniversityUniversidad Autónoma MetropolitanaUniversidad Nacional de ColombiaNational Center for Child Health and DevelopmentUniversity of WarwickRMIT UniversitySamfundet FolkhälsanMcGill UniversityPublic Health AgencyChildren's Hospital of MichiganUniversity of New South WalesUniversiteit MaastrichtUniversität BielefeldPublic Health EnglandPublic Health Foundation of IndiaNational Drug and Alcohol Research CentreAustralian National UniversityUniversity of OxfordUniversity of LeicesterQueen Elizabeth Hospital Birmingham CharityNational Institute for Health and Care ResearchSanjay Gandhi Postgraduate Institute of Medical SciencesIstituto di Ricerche Farmacologiche Mario Negri - IRCCSUniversity of North Carolina at Chapel HillUniversidade Federal do Rio Grande do SulQueen Mary University of LondonUniversitat de BarcelonaKing's College LondonBrien Holden Vision InstituteWellcome TrustNational Research University Higher School of EconomicsUniversidad de Costa RicaOttawa Hospital Research InstituteDeutsches KrebsforschungszentrumGeorgetown UniversityUniversity of OtagoUniversity of LouisvilleUniversitetet i TromsøImperial College LondonUniversity of OklahomaPublic Health Agency of CanadaUniversity of Oklahoma Health Sciences CenterTehran University of Medical Sciences and Health ServicesAnglia Ruskin UniversityPlan Nacional sobre DrogasAuckland University of Technology, New ZealandUniversity of PeradeniyaUniversity of the PhilippinesUniversität BaselMekelle UniversityLa Trobe UniversityPostgraduate Institute of Medical Education and Research, ChandigarhBill and Melinda Gates FoundationNational Institute on Minority Health and Health DisparitiesUniversità di BolognaJackson State UniversitySouth Australian Health and Medical Research InstituteKurdistan University Of Medical SciencesUnited States Agency for International DevelopmentUniversitetet i OsloMinistry of Health and Medical EducationOhio State UniversityNational Taiwan UniversityUniversity of CreteUniversitat de ValènciaUniversidade do PortoSeoul National UniversityArak University of Medical SciencesYale UniversityMassachusetts General Hospital
KeywordsLife expectancyBurden of diseaseDisease burdenEpidemiologyEpidemiological transitionDisability-adjusted life yearQuality-adjusted life yearPopulationGlobal healthYears of potential life lostDisease
DOInot available

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.041
Threshold uncertainty score0.082

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.014
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.008
Bibliometrics0.0070.010
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.019
GPT teacher head0.293
Teacher spread0.273 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2016
Admission routes1
Has abstractyes

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