Burden of disease attributable to Risk Factors in Brazil: an analysis of national and subnational estimates from the 2019 Global Burden of Disease study

Data de publicação

2022

Periódico

Revista da Sociedade Brasileira de Medicina Tropical

Resumo

Introduction – Monitoring trends in risk factors (RFs) and the burden of diseases attributable to exposure to RFs is an important measure to identify public health advances and current inadequate efforts. Objective: Analyze the global burden of disease attributable to exposure RFs in Brazil, and its changes from 1990 to 2019, according to the sex and age group.

Methods – This study used data from the Global Burden of Disease study. The Summary Exposure Value, which represents weighted prevalence by risk, was used to estimate exposure to RFs. The mortality and DALYs (Disability Adjusted Life Years) measurements were used to estimate the burden of diseases. For comparisons by year and between Brazilian states, age-standardized rates were used.

Results – Arterial hypertension was the factor responsible for most deaths in both sexes. For DALYs, the most important RF was the high body mass index (BMI) for women and alcohol consumption for men. Smoking had a substantial reduction in the attributable burden of deaths in the period. An important reduction was identified in the exposure to RFs related to socioeconomic development, such as unsafe water, lack of sanitation, and child malnutrition. Metabolic RFs, such as high BMI, hypertension, and alcohol consumption showed an increase in the attributable burden.

Conclusions – Our findings point to an increase in metabolic RFs, which are the main RFs for mortality and DALYs. These results can help to consolidate and strengthen public policies that promote healthy lifestyles, thus reducing disease and death.

DOI/link

https://doi.org/10.1590/0037-8682-0262-2021

Autoria

Vínculo institucional

Lattes

Orcid

Deborah Carvalho Malta

Universidade Federal de Minas Gerais, Escola de Enfermagem, Departamento de Enfermagem Materno-Infantil e Saúde Pública, Belo Horizonte, MG, Brasil.

Mariana Santos Felisbino-Mendes

Universidade Federal de Minas Gerais, Escola de Enfermagem, Departamento de Enfermagem Materno-Infantil e Saúde Pública, Belo Horizonte, MG, Brasil.

Ísis Eloah Machado

Universidade Federal de Ouro Preto, Escola de Medicina, Departamento de Medicina da Família, Saúde Mental e Coletiva, Ouro Preto, MG, Brasil.

Guilherme Augusto Veloso

Universidade Federal de Minas Gerais, Departamento de Estatística, Belo Horizonte, MG, Brazil.

Crizian Saar Gomes

Universidade Federal de Minas Gerais, Faculdade de Medicina, Departamento de Medicina Preventiva e Social, Programa de Pós-Graduação em Saúde Pública, Belo Horizonte, MG, Brasil.

Luisa Campos Caldeira Brant

Universidade Federal de Minas Gerais, Faculdade de Medicina e Hospital das Clínicas, Departamento de Clínica Médica, Belo Horizonte, MG, Brasil

Antonio Luiz Pinho Ribeiro

Universidade Federal de Minas Gerais, Faculdade de Medicina e Hospital das Clínicas, Departamento de Clínica Médica, Belo Horizonte, MG, Brasil

Patrícia Pereira Vasconcelos de Oliveira

Ministério da Saúde, Secretaria de Vigilância em Saúde, Brasília, DF, Brasil.

Luisa Sorio Flor

University of Washington, Institute for Health Metrics and Evaluation, Seattle, Washington, United States of America.

Emmanuela Gakidou

University of Washington, Institute for Health Metrics and Evaluation, Seattle, Washington, United States of America.