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dc.contributor.authorGBD 2016 Brazil Collaborators
dc.contributor.authorTraebert, Jefferson
dc.coverage.spatialLondrespt_BR
dc.date.accessioned2019-11-22T16:52:12Z
dc.date.available2019-11-22T16:52:12Z
dc.date.issued2018pt_BR
dc.identifier.issn0140-6736pt_BR
dc.identifier.urihttp://www.riuni.unisul.br/handle/12345/8323
dc.description.abstractBackground: Political, economic, and epidemiological changes in Brazil have affected health and the health system. We used the Global Burden of Disease Study 2016 (GBD 2016) results to understand changing health patterns and inform policy responses. Methods: We analysed GBD 2016 estimates for life expectancy at birth (LE), healthy life expectancy (HALE), all-cause and cause-specific mortality, years of life lost (YLLs), years lived with disability (YLDs), disability-adjusted life-years (DALYs), and risk factors for Brazil, its 26 states, and the Federal District from 1990 to 2016, and compared these with national estimates for ten comparator countries. Findings: Nationally, LE increased from 68·4 years (95% uncertainty interval [UI] 68·0–68·9) in 1990 to 75·2 years (74·7–75·7) in 2016, and HALE increased from 59·8 years (57·1–62·1) to 65·5 years (62·5–68·0). All-cause agestandardised mortality rates decreased by 34·0% (33·4–34·5), while all-cause age-standardised DALY rates decreased by 30·2% (27·7–32·8); the magnitude of declines varied among states. In 2016, ischaemic heart disease was the leading cause of age-standardised YLLs, followed by interpersonal violence. Low back and neck pain, sense organ diseases, and skin diseases were the main causes of YLDs in 1990 and 2016. Leading risk factors contributing to DALYs in 2016 were alcohol and drug use, high blood pressure, and high body-mass index. Interpretation Health improved from 1990 to 2016, but improvements and disease burden varied between states. An epidemiological transition towards non-communicable diseases and related risks occurred nationally, but later in some states, while interpersonal violence grew as a health concern. Policy makers can use these results to address health disparities.pt_BR
dc.format.extent31221 - 2pt_BR
dc.language.isoen_USpt_BR
dc.relation.ispartofseries18pt_BR
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Brazil*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/br/*
dc.subjectBurden of Diseasept_BR
dc.titleBurden of disease in Brazil, 1990–2016: a systematic subnational analysis for the Global Burden of Disease Study 2016pt_BR
dc.typeArtigo de Periodicopt_BR
dc.subject.areaCiências da Saúdept_BR


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Attribution-NonCommercial-NoDerivs 3.0 Brazil
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