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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 sur OpenAlexfundno aff

Notice bibliographique

RevueLume (Universidade Federal do Rio Grande do Sul) · 2016
Typearticle
Langueen
DomainePhysics and Astronomy
ThématiqueMagnetic confinement fusion research
Établissements canadiensnon disponible
Organismes subventionnairesWarwick 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
Mots-clésLife expectancyBurden of diseaseDisease burdenEpidemiologyEpidemiological transitionDisability-adjusted life yearQuality-adjusted life yearPopulationGlobal healthYears of potential life lostDisease
DOInon disponible

Résumé

récupéré en direct d'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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,006
score de la tête « metaresearch » (Gemma)0,014
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,041
Score d'incertitude au seuil0,082

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0060,014
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0030,008
Bibliométrie0,0070,010
Études des sciences et des technologies0,0000,001
Communication savante0,0010,001
Science ouverte0,0010,002
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,019
Tête enseignante GPT0,293
Écart entre enseignants0,273 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2016
Routes d'admission1
Résumé présentoui

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