Data de publicação
Abril de 2024
Periódico
Public Health
Resumo
Objetives – The objective of this study was to analyse the global burden of disease attributable to undernutrition and high body mass index (BMI) in Brazil and its 27 states, as well as its association with the socio-demographic index (SDI) from 1990 to 2019.
Study design – This is an epidemiological time-series study.
Methods – This study analysed the undernutrition and high BMI estimated by the Global Burden of Disease study conducted from 1990 to 2019 for Brazil and its states, using the following metrics: absolute number of deaths, standardised mortality rate, and disability-adjusted life years (DALYs). This study also analysed the correlation between the percentage variation of mortality rates and SDI.
Results – A decrease in the number of deaths (-75 %), mortality rate (-75.1 %), and DALYS (-72 %) attributable to undernutrition was found in Brazil and in all regions. As regarding the high BMI, an increase in the number of deaths was found (139.6 %); however, the mortality rate (-9.7) and DALYs (-6.4 %) declined in all regions, except in the North and Northeast regions, which showed an increase. A strong correlation was identified between undernutrition and high BMI with SDI.
Conclusions – Our study observed a double burden of malnutrition in Brazil, with a reduction in the burden of diseases due to malnutrition in Brazil and variation in the burden due to high BMI according to the socioeconomic status of the region. Public policies are necessary in order to guarantee the human right to a healthy and sustainable diet, together with food and nutrition security and a diminishing of social inequality.
DOI/link
https://doi.org/10.1016/j.puhe.2023.12.037
Autoria
Vínculo institucional
Lattes
Orcid
Deborah Carvalho Malta
Departamento de Enfermagem Materno-Infatil e Saúde Pública, Escola de Enfermagem, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil
Crizian Saar Gomes
Programa de Pós-graduação em Saúde Pública, Faculdade de Medicina da Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil
Mariana Santos Felisbino Mendes
Departamento de Enfermagem Materno-Infatil e Saúde Pública, Escola de Enfermagem, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil
Guilherme Augusto Veloso
Universidade Federal Fluminense, Instituto de Matemática e Estatística, Departamento de Estatística, Brazil
Ísis Eloah Machado
Programa de Pós-graduação em Saúde e Nutrição, Universidade Federal de Ouro Preto, Ouro Preto, MG, Brazil
Letícia de Oliveira Cardoso
Secretaria de vigilância em saúde e ambiente, Ministério da Saúde, Brasilia/DF, Brazil
Renato Azeredo Teixeira
Secretaria de vigilância em saúde e ambiente, Ministério da Saúde, Brasilia/DF, BrazilPrograma de Pós-graduação em Saúde Pública, Faculdade de Medicina da Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil
Patrícia Constante Jaime
Departamento de Nutrição, Universidade de São Paulo, São Paulo, SP, Brazil
L.L.C. de Vasconcelos
Federal University of Sergipe, Lagarto, SE, Brazil
Mohsen Naghavi
Institute for Health Metrics and Evaluation, Seattle, WA, United States
Antonio Luiz Pinho Ribeiro
Departamento de Clinica Médica, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil