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Negative Life Events Vary by Neighborhood and Mediate the Relation between Neighborhood Context and Psychological Well-Being

Overview of attention for article published in PLOS ONE, April 2014
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Title
Negative Life Events Vary by Neighborhood and Mediate the Relation between Neighborhood Context and Psychological Well-Being
Published in
PLOS ONE, April 2014
DOI 10.1371/journal.pone.0093539
Pubmed ID
Authors

Katherine King, Christin Ogle

Abstract

Researchers have speculated that negative life events are more common in troubled neighborhoods, amplifying adverse effects on health. Using a clustered representative sample of Chicago residents (2001-03; nā€Š=ā€Š3,105) from the Chicago Community Adult Health Survey, we provide the first documentation that negative life events are highly geographically clustered compared to health outcomes. Associations between neighborhood context and negative life events were also found to vary by event type. We then demonstrate the power of a contextualized approach by testing path models in which life events mediate the relation between neighborhood characteristics and health outcomes, including self-rated health, anxiety, and depression. The indirect paths between neighborhood conditions and health through negative life event exposure are highly significant and large compared to the direct paths from neighborhood conditions to health. Our results indicate that neighborhood conditions can have acute as well as chronic effects on health, and that negative life events are a powerful mechanism by which context may influence health.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Netherlands 1 1%
Unknown 83 98%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 16 19%
Student > Ph. D. Student 15 18%
Student > Master 11 13%
Researcher 9 11%
Student > Bachelor 8 9%
Other 13 15%
Unknown 13 15%
Readers by discipline Count As %
Psychology 19 22%
Social Sciences 15 18%
Medicine and Dentistry 12 14%
Nursing and Health Professions 5 6%
Materials Science 2 2%
Other 11 13%
Unknown 21 25%