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Individual-level influences on perceptions of neighborhood disorder: a multilevel analysis.

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Title: Individual-level influences on perceptions of neighborhood disorder: a multilevel analysis.
Authors: Latkin, Carl A., German, Danielle, Hua, Wei, Curry, Aaron D.
Source: Journal of Community Psychology. Jan2009, Vol. 37 Issue 1, p122-133. 12p. 2 Charts.
Subjects: Regression analysis, Sensory perception & society, Social networks, Crime prevention, Community development, Community health workers
Abstract: Health outcomes are associated with aggregate neighborhood measures and individual neighborhood perceptions. In this study, the authors sought to delineate individual, social network, and spatial factors that may influence perceptions of neighborhood disorder. Multilevel regression analysis showed that neighborhood perceptions were more negative in neighborhoods with higher crime reports. Controlling for neighborhood crime, higher perceptions of disorder were associated with younger age, no main partner, nondrug use, higher depression, more network drug use, and more time on the street. Results suggest that neighborhood perceptions are based on objective factors, individual differences in experiences, and experience of others. Accounting for individual and community-level factors associated with neighborhood perceptions may help clarify associations between neighborhood factors and physical and mental health and assist community-planning efforts. © 2008 Wiley Periodicals, Inc. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Community Psychology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Individual-level influences on perceptions of neighborhood disorder: a multilevel analysis.
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  Data: <searchLink fieldCode="AR" term="%22Latkin%2C+Carl+A%2E%22">Latkin, Carl A.</searchLink><br /><searchLink fieldCode="AR" term="%22German%2C+Danielle%22">German, Danielle</searchLink><br /><searchLink fieldCode="AR" term="%22Hua%2C+Wei%22">Hua, Wei</searchLink><br /><searchLink fieldCode="AR" term="%22Curry%2C+Aaron+D%2E%22">Curry, Aaron D.</searchLink>
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  Data: Health outcomes are associated with aggregate neighborhood measures and individual neighborhood perceptions. In this study, the authors sought to delineate individual, social network, and spatial factors that may influence perceptions of neighborhood disorder. Multilevel regression analysis showed that neighborhood perceptions were more negative in neighborhoods with higher crime reports. Controlling for neighborhood crime, higher perceptions of disorder were associated with younger age, no main partner, nondrug use, higher depression, more network drug use, and more time on the street. Results suggest that neighborhood perceptions are based on objective factors, individual differences in experiences, and experience of others. Accounting for individual and community-level factors associated with neighborhood perceptions may help clarify associations between neighborhood factors and physical and mental health and assist community-planning efforts. © 2008 Wiley Periodicals, Inc. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Community Psychology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Jan2009
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