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Wednesday, April 29, 2009
Sadrivaan A and B (The Hilton Istanbul Hotel )
The influence of the characteristics of neighborhood context in self-rated health (SRH) is still little studied, mainly in developing countries, like Brazil, where there are few studies on this theme and no multilevel study. The aim of this work is to investigate the relations between socioeconomic indicators of neighborhood and self-rated health, taking into account both group and individual characteristics.
A multilevel approach by hierarchical models was used to analyse the relation between indicators of socioeconomic characteristics of 621 neighborhoods of residence and self-rated health of 3,054 Pró-Saúde Study participants who live in Rio de Janeiro city.
Neighborhoods were created using the SKATER method (TerraView software), developed in a previous work, based on four census tracts indicators and considering a minimum population of 5,000 people living in the delimited neighborhood.
The multilevel model had shown a significant variation in the self-rated health related to the neighborhoods income level and average of number of inhabitants per residence that cannot be total explained by compositional individual factors, including individual income per capita, educational level, age, sex, skin color/race, healthy habits and chronic diseases.
A multilevel approach by hierarchical models was used to analyse the relation between indicators of socioeconomic characteristics of 621 neighborhoods of residence and self-rated health of 3,054 Pró-Saúde Study participants who live in Rio de Janeiro city.
Neighborhoods were created using the SKATER method (TerraView software), developed in a previous work, based on four census tracts indicators and considering a minimum population of 5,000 people living in the delimited neighborhood.
The multilevel model had shown a significant variation in the self-rated health related to the neighborhoods income level and average of number of inhabitants per residence that cannot be total explained by compositional individual factors, including individual income per capita, educational level, age, sex, skin color/race, healthy habits and chronic diseases.
Learning Objectives: Several studies highlighted the importance of collective social factors for population health. One of the major challenges is recognize an adequate definition of the spatial units of analysis which present properties potentially related to the outcomes of interest in multilevel approachs. The methods presented might be an important contribution in fostering studies interested on intra-urban differentials, particularly concerning contextual factors and its implications for different health outcomes.
Sub-Theme: Social determinants of health and disease
See more of: Poster: Social Determinants of Health and Disease
See more of: Public Health Research & Policy Development
See more of: Public Health Research & Policy Development