Data de publicação
2022
Periódico
Revista da Sociedade Brasileira de Medicina Tropical
Resumo
Introduction – To better understand trends in the main cause of death in Brazil, we sought to analyze the burden of cardiovascular risk factors (RF) and cardiovascular diseases (CVD) attributable to specific RFs in Brazil from 1990 to 2019, using the estimates from the GBD 2019 study.
Methods – To estimate RF exposure, the Summary Exposure Value (SEV) was used, whereas for disease burden attributed to RF, mortality and disability-adjusted life-years (DALY) due to CVD were used. For comparisons over time and between states, we compared age-standardized rates. The sociodemographic index (SDI) was used as a marker of socioeconomic conditions.
Results – In 2019, 83% of CVD mortality in Brazil was attributable to RF. For SEV, there was a reduction in smoking and environmental RF, but an increase in metabolic RF. High systolic blood pressure and dietary risks continue to be the main RF for CVD mortality and DALY. While there was a decline in age-standardized mortality rates attributable to the evaluated RF, there was also a stability or increase in crude mortality rates, with the exception of smoking. It is important to highlight the increase in the risk of death attributable to a high body mass index. Regarding the analysis per state, SEVs and mortality attributable to RF were higher in those states with lower SDIs.
Conclusions – Despite the reduction in CVD mortality and DALY rates attributable to RF, the stability or increase in crude rates attributable to metabolic RFs is worrisome, requiring investments and a renewal of health policies.
DOI/link
https://doi.org/10.1590/0037-8682-0263-2021
Autoria
Vínculo institucional
Lattes
Orcid
Luisa Campos Caldeira Brant
Universidade Federal de Minas Gerais, Faculdade de medicina e Hospital das Clínicas, Belo Horizonte, MG, Brasil
Bruno Ramos Nascimento
Universidade Federal de Minas Gerais, Faculdade de medicina e Hospital das Clínicas, Belo Horizonte, MG, Brasil
Guilherme Augusto Veloso
Universidade Federal de Minas Gerais, Departamento de Estatística, Programa de Pós-Graduação em Estatística, Belo Horizonte, MG, Brasil.
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.
Carisi Polanczyk
Universidade Federal do Rio Grande do Sul, Faculdade de Medicina, Instituto de Avaliação de Tecnologia em Saúde, Porto Alegre, RS, Brasil.
Gláucia Maria Moraes de Oliveira
Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, Brasil.
Luisa Sorio Flor
University of Washington, Institute of Health Metrics and Evaluation, Seattle, USA.
Emmanuela Gakidou
University of Washington, Institute of Health Metrics and Evaluation, Seattle, USA.
Antonio Luiz Pinho Ribeiro
Universidade Federal de Minas Gerais, Faculdade de medicina e Hospital das Clínicas, Belo Horizonte, MG, Brasil.
Deborah Carvalho Malta
Universidade Federal de Minas Gerais, Escola de Enfermagem, Departamento de Enfermagem Materno-Infantil e Saúde Pública, Belo Horizonte, MG, Brasil.