Advanced search
Start date
Betweenand
Related content
(Reference retrieved automatically from SciELO through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Racial/ethnic disparities in self-rated health: a multilevel analysis of 2,697 individuals in 145 Brazilian municipalities

Full text
Author(s):
Alexandre Dias Porto Chiavegatto Filho [1] ; Ruy Laurenti [2]
Total Authors: 2
Affiliation:
[1] Universidade de São Paulo. Faculdade de Saúde Pública - Brasil
[2] Universidade de São Paulo. Faculdade de Saúde Pública - Brasil
Total Affiliations: 2
Document type: Journal article
Source: Cadernos de Saúde Pública; v. 29, n. 8, p. 1572-1582, 2013-08-00.
Abstract

Recent literature reviews have shown that studies analyzing racial/ethnic disparities in Brazil are still scarce. Multilevel approaches are necessary, since race is a socially constructed concept and can vary by area of residence. The analysis included 2,697 individuals from 145 Brazilian municipalities (counties), classified by race (white, black, or mixed). Multilevel models were fitted using Bayesian inference with Markov Chain Monte Carlo methods. After including demographic, socioeconomic, and health access variables, black and mixed-race individuals showed higher odds of negative self-rated health (OR = 1.71; 95%CI: 1.24; 2.37 and OR = 1.37; 95%CI: 1.10; 1.71, respectively). Characteristics of the area of residence did not significantly affect the association between race and self-rated health. Racial/ethnic disparities lost their statistical significance after re-categorization of the dependent variable. The results indicate that racial/ ethnic disparities in health in Brazil may be deeper and more complex than expected. (AU)

FAPESP's process: 12/09717-2 - Income inequality and elderly health: a longitudinal multilevel analysis of a sample of the Municipality of São Paulo.
Grantee:Alexandre Dias Porto Chiavegatto Filho
Support Opportunities: Scholarships in Brazil - Post-Doctoral