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Association of perceived neighborhood problems and census tract income with poor self-rated health in adults: a multilevel approach

Overview of attention for article published in Cadernos de Saúde Pública, November 2015
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Title
Association of perceived neighborhood problems and census tract income with poor self-rated health in adults: a multilevel approach
Published in
Cadernos de Saúde Pública, November 2015
DOI 10.1590/0102-311x00210913
Pubmed ID
Authors

Doroteia Aparecida Höfelmann, Ana V Diez Roux, José Leopoldo Ferreira Antunes, Marco Aurélio Peres

Abstract

Neighborhood problems constitute sources of chronic stress that may increase the risk of poor self-rated health. The associations of census tract level income and perceived neighborhood problems with self-rated health were examined in Florianópolis, Santa Catarina State, Brazil (1,720 adults). Odds ratios (OR) and their 95% confidence intervals (95%CI) of poor self-rated health were estimated through multilevel models. Residents in census tracts in the lower and intermediate tertiles of income reported poorer health than those in the highest tertile. OR of reporting poorer health was 2.44 (95%CI: 2.35- 2.54) in the higher tertile of social disorder (adjusting for mental health). The chances of reporting the poorer health with neighborhood problems ranged from 1.07 (95%CI: 1.03-1.11) to 2.02 (95%CI: 1.95-2.10) for the higher tertile of social disorder (physical health) and physical problem (health-related variables). Perceived neighborhood problems were independently associated with poor health. The perception of a neighborhood among its residents should be considered by health policymakers.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 4%
Unknown 23 96%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 4%
Unknown 23 96%