Literature DB >> 15970226

Neighborhood economic conditions, social processes, and self-rated health in low-income neighborhoods in Texas: a multilevel latent variables model.

Luisa Franzini1, Margaret Caughy, William Spears, Maria Eugenia Fernandez Esquer.   

Abstract

This paper develops and tests a comprehensive model to explain the relationships of neighborhood economic indicators to multiple dimensions of neighborhood social and physical organization as well as the pathways through which neighborhood social and physical characteristics influence individual health outcomes. We hypothesized that neighborhood poverty would be associated with lower collective efficacy, lower social capital, higher degrees of social and physical disorder, worse social processes pertaining to children such as trust, and higher degrees of fear of crime and racism. Neighborhood social and physical characteristics were hypothesized to mediate the effect of neighborhood poverty on self-rated health, both directly and indirectly through their influence on neighborhood differences in social support and health behaviors, which in turn affect individual health. The results, based on data from low-income neighborhoods in Texas, USA generally supported the model and indicated that the effect of neighborhood impoverishment on health is mediated by social and physical neighborhood characteristics.

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Year:  2005        PMID: 15970226     DOI: 10.1016/j.socscimed.2005.02.010

Source DB:  PubMed          Journal:  Soc Sci Med        ISSN: 0277-9536            Impact factor:   4.634


  63 in total

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8.  Do neighborhood economic characteristics, racial composition, and residential stability predict perceptions of stress associated with the physical and social environment? Findings from a multilevel analysis in Detroit.

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9.  The Relationship between Neighborhood Disorder, Social Networks, and Indoor Cigarette Smoking among Impoverished Inner-City Residents.

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10.  Neighborhood and weight-related health behaviors in the Look AHEAD (Action for Health in Diabetes) study.

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Journal:  BMC Public Health       Date:  2010-06-04       Impact factor: 3.295

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