Literature DB >> 31028004

Socioeconomic factors and mortality due to cerebrovascular and hypertensive disease in Brazil.

Paolo Blanco Villela1, Carlos Henrique Klein2, Gláucia Maria Moraes de Oliveira3.   

Abstract

INTRODUCTION AND
OBJECTIVE: Socioeconomic factors may affect mortality due to cerebrovascular diseases (CBVDs), hypertensive diseases (HYPDs), and circulatory system diseases (CSDs). This study aimed to assess the association between the Human Development Index (HDI) and the extent of supplementary health coverage and mortality due to these diseases in the Brazilian Federative Units (FUs) between 2004 and 2013.
METHODS: The Municipal HDI (MHDI) scores of each FU for 2000 and 2010 were retrieved from the Atlas Brasil website, and supplementary health coverage data for the period 2004-2013 were obtained from the national regulatory agency for private health insurance. Population and mortality data were obtained from the website of the Department of Information Technology of the Unified Health System (DATASUS). Mortality rates were weighted by ill-defined causes of death and standardized by age.
RESULTS: The MHDI increased between 2000 and 2010 in all FUs, in half of which it was 0.7 or higher. Supplementary health coverage increased in the country during the study period and was inversely associated with mortality due to CSDs and CBVDs between 2004 and 2013. Mortality due to CBVDs and HYPD in 2013 showed an inverse linear association with the MHDI in 2000.
CONCLUSION: Mortality due to CSDs, CBVDs, and HYPDs was influenced by socioeconomic factors. There was a significant inverse association between socioeconomic factors and mortality due to CSDs, CBVDs, and HYPDs. Plans to reduce mortality due to these diseases should include measures to foster economic development and reduce inequality.
Copyright © 2019 Sociedade Portuguesa de Cardiologia. Publicado por Elsevier España, S.L.U. All rights reserved.

Entities:  

Keywords:  Cardiovascular diseases; Cerebrovascular disorders; Doenças cardiovasculares; Epidemiologia; Epidemiology; Fatores socioeconômicos; Hipertensão; Hypertension; Socioeconomic factors; Transtornos cerebrovasculares

Mesh:

Year:  2019        PMID: 31028004     DOI: 10.1016/j.repc.2018.07.007

Source DB:  PubMed          Journal:  Rev Port Cardiol (Engl Ed)        ISSN: 2174-2049


  3 in total

1.  Cardiovascular Statistics - Brazil 2021.

Authors:  Gláucia Maria Moraes de Oliveira; Luisa Campos Caldeira Brant; Carisi Anne Polanczyk; Deborah Carvalho Malta; Andreia Biolo; Bruno Ramos Nascimento; Maria de Fatima Marinho de Souza; Andrea Rocha De Lorenzo; Antonio Aurélio de Paiva Fagundes Júnior; Beatriz D Schaan; Fábio Morato de Castilho; Fernando Henpin Yue Cesena; Gabriel Porto Soares; Gesner Francisco Xavier Junior; Jose Augusto Soares Barreto Filho; Luiz Guilherme Passaglia; Marcelo Martins Pinto Filho; M Julia Machline-Carrion; Marcio Sommer Bittencourt; Octavio M Pontes Neto; Paolo Blanco Villela; Renato Azeredo Teixeira; Roney Orismar Sampaio; Thomaz A Gaziano; Pablo Perel; Gregory A Roth; Antonio Luiz Pinho Ribeiro
Journal:  Arq Bras Cardiol       Date:  2022-01       Impact factor: 2.000

2.  Mortality from diseases of the circulatory system in Brazil and its relationship with social determinants focusing on vulnerability: an ecological study.

Authors:  Luiz A V M Bastos; Jose L P Bichara; Gabriela S Nascimento; Paolo B Villela; Glaucia M M de Oliveira
Journal:  BMC Public Health       Date:  2022-10-20       Impact factor: 4.135

3.  Cardiovascular Statistics - Brazil 2020.

Authors:  Gláucia Maria Moraes de Oliveira; Luisa Campos Caldeira Brant; Carisi Anne Polanczyk; Andreia Biolo; Bruno Ramos Nascimento; Deborah Carvalho Malta; Maria de Fatima Marinho de Souza; Gabriel Porto Soares; Gesner Francisco Xavier Junior; M Julia Machline-Carrion; Marcio Sommer Bittencourt; Octavio M Pontes Neto; Odilson Marcos Silvestre; Renato Azeredo Teixeira; Roney Orismar Sampaio; Thomaz A Gaziano; Gregory A Roth; Antonio Luiz Pinho Ribeiro
Journal:  Arq Bras Cardiol       Date:  2020-09       Impact factor: 2.667

  3 in total

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