ANÁLISE ESPACIAL DA MORTALIDADE POR DOENÇAS DO APARELHO CIRCULATÓRIO NAS REGIÕES URBANAS DE JUIZ DE FORA - MG

AUTOR(ES)
DATA DE PUBLICAÇÃO

2009

RESUMO

The cardiovascular diseases (CVD) are the main causes of death in Juiz de Fora, in Brazil and in most countries. The spatial distribution of CVD mortality in large cities is not homogeneous: regions with worse social conditions have bigger mortality rates. Premature CVD mortality is also related to socioeconomic conditions of neighborhood. The techniques of spatial analysis in health allow to study socioambiental factors as possible determinants of diseases at the population level. Amongst these factors, the most used are education, income and sanitation indicators from national census. The synthetic indicator Índice de Desenvolvimento Social (IDS) was created to compare the social development of similar geographic areas and is composed by the arithmetic mean of ten indicators of national census. The objective of this work was to analyze the spatial distribution of mortality due to CVD in urban regions (RU) of Juiz de Fora and its relationship with socioeconomic factors, especially the IDS. The design of study was ecological, subtype spatial analysis in health, with the 81 RU as units of analysis. It was employed exploratory techniques like measures of spatial autocorrelation and empirical bayesian estimators. To investigate inequalities in CVD mortality were aplied the statistic tests: t test, Mann-Whitney test, variance analysis, correlation analysis and regression analysis. The relationship between CVD mortality and socioeconomic indicators was investigted by Poisson generalized linear models. Due to over-dispersion of data, quasi-Poisson and negative binomial models were also fitted. Results indicate that CVD mortality in urban space of Juiz de Fora is associated with socioeconomic conditions of neighborhood. The reduction of socioeconomic inaqualities in middle cities could induce important reductions in health iniquities

ASSUNTO(S)

sistemas de informação geográfica social indicators indicadores sociais cardiovascular diseases geographical information systems doenças cardiovasculares health inequalities saude coletiva linear models iniquidade social social inequity modelos lineares desigualdades em saúde

ACESSO AO ARTIGO

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