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Global, Regional, National, and Subnational Big Data to Inform Health Equity Research: Perspectives from the Global Burden of Disease Study 2017.
Mokdad, Ali H; Mensah, George A; Krish, Varsha; Glenn, Scott D; Miller-Petrie, Molly K; Lopez, Alan D; Murray, Christopher J L.
Afiliação
  • Mokdad AH; Institute for Health Metrics and Evaluation, University of Washington and the Department of Health Metrics Sciences, University of Washington, Seattle, WA.
  • Mensah GA; Center for Translation Research and Implementation Science, National Institutes of Health, Bethesda, MD, USA; Department of Medicine, University of Cape Town, Cape Town, South Africa.
  • Krish V; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Glenn SD; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Miller-Petrie MK; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Lopez AD; University of Melbourne, Melbourne, VIC, Australia; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
  • Murray CJL; Institute for Health Metrics and Evaluation, University of Washington and the Department of Health Metrics Sciences, University of Washington, Seattle, WA.
Ethn Dis ; 29(Suppl 1): 159-172, 2019.
Article em En | MEDLINE | ID: mdl-30906165
ABSTRACT

Objectives:

Everyone deserves a long and healthy life, but in reality, health outcomes differ across populations. We use results from the Global Burden of Disease Study 2017 (GBD 2017) to report patterns in the burden of diseases, injuries, and risks at the global, regional, national, and subnational level, and by sociodemographic index (SDI), from 1990 to 2017.

Design:

GBD 2017 undertook a systematic analysis of published studies and available data providing information on prevalence, incidence, remission, and excess mortality. We computed prevalence, incidence, mortality, life expectancy, healthy life expectancy, years of life lost due to premature mortality, years lived with disability, and disability-adjusted life years with 95% uncertainty intervals for 23 age groups, both sexes, and 918 locations, including 195 countries and territories and subnational locations for 16 countries from 1990 to 2017. We also computed SDI, a summary indicator combining measures of income, education, and fertility.

Results:

There were wide disparities in the burden of disease by SDI, with smaller burdens in affluent countries and in specific regions within countries. Select diseases and risks, such as drug use disorders, high blood pressure, high body mass index, diet, high fasting plasma glucose, smoking, and alcohol use disorders warrant increased global attention and indicate a need for greater investment in prevention and treatment across the life course.

Conclusions:

Policymakers need a comprehensive picture of what risks and causes result in disability and death. The GBD provides the means to quantify health loss these findings can be used to examine root causes of disparities and develop programs to improve health and health equity.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article