Title |
Negative Life Events Vary by Neighborhood and Mediate the Relation between Neighborhood Context and Psychological Well-Being
|
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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=ā3,105) 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. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 3 | 27% |
Germany | 1 | 9% |
United Kingdom | 1 | 9% |
Unknown | 6 | 55% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 55% |
Scientists | 3 | 27% |
Science communicators (journalists, bloggers, editors) | 2 | 18% |
Mendeley readers
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% |