Perfil de risco: método multivariado de classificação sócio-econômica de microáreas urbanas - os setores censitários da região metropolitana do Rio de Janeiro

Cadernos de Saúde Pública

Marilia Sá Carvalho²  Oswaldo Gonçalves Cruz¹  Flávio Fonseca Nobre¹ 

[1] ,Fundação Oswaldo CruzRio de Janeiro RJ ,Brasil

关键词: Demographic Census;    Small-Area Analysis;    Multivariate Analysis;    Socioeconomic Analysis;    Censo Demográfico;    Análise de Pequenas Áreas;    Análise Multivariada;    Perfil Sócio-econômico;   

DOI  :  10.1590/S0102-311X1997000400007

来源: SciELO

【 摘 要 】

A method based on small area data analysis was developed to build a health risk classification for the Greater Rio de Janeiro Metropolitan Area. The approach uses 1991 census data and studies data pertaining to sanitation, ownership and type of housing, size and occupancy of the household, demography, schooling, and income. Principal component analysis applied over each dimension allowed for the choice of 15 variables, which summarized most of the observed variances. Additional analysis with these variables suggested that just six variables are sufficient for the construction of a classification using k-means method of multivariate cluster analysis. Five classes were obtained: (A) high income; (B) lower income; (C) poor; (D) low schooling and income; (E) low-level access to sanitation. The existing inequality in each of the geopolitical established areas was clearly identified. The proposed method allowed for the construction of compound indices to evaluate quality of life, based on widespread and easily obtained data (the census). Moreover, the method contributed to the detection of socioeconomic inequality, identifying, not only the larger poor regions but also the small excluded areas.

【 授权许可】

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