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Perceived and Objectively-Measured Neighborhood Violence and Adolescent Psychological Distress

Overview of attention for article published in Journal of Urban Health, September 2016
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Title
Perceived and Objectively-Measured Neighborhood Violence and Adolescent Psychological Distress
Published in
Journal of Urban Health, September 2016
DOI 10.1007/s11524-016-0079-0
Pubmed ID
Authors

Sidra Goldman-Mellor, Claire Margerison-Zilko, Kristina Allen, Magdalena Cerda

Abstract

Prior research examining links between neighborhood violence and mental health has not been able to establish whether it is perceived levels of neighborhood violence, or actual levels of violent crime, that matter most for adolescents' psychological well-being. In this study, we ascertained both perceived neighborhood safety and objectively-measured neighborhood-level violent crime (using a novel geospatial index of police-reported crime incidents) for 4464 adolescent respondents from the California Health Interview Survey (CHIS 2011-2014). We used propensity score-matched regression models to examine associations between these measures and CHIS adolescents' symptoms of psychological distress. We found that adolescents who perceived their neighborhood to be unsafe were two times more likely than those who perceived their neighborhood to be safe to report serious psychological distress (OR = 2.4, 95 % CI = 1.20, 4.96). Adolescents who lived in areas objectively characterized by high levels of violent crime, however, were no more likely than their peers in safer areas to be distressed (OR = 1.41; 95 % CI = 0.60, 3.32). Our results suggest that, at the population level, adolescents' perceptions of neighborhood violence, rather than objective levels of neighborhood crime, are most salient for their mental health.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 131 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 13%
Student > Bachelor 15 11%
Researcher 14 11%
Student > Doctoral Student 11 8%
Student > Master 10 8%
Other 28 21%
Unknown 36 27%
Readers by discipline Count As %
Psychology 24 18%
Social Sciences 23 18%
Nursing and Health Professions 12 9%
Medicine and Dentistry 10 8%
Economics, Econometrics and Finance 3 2%
Other 17 13%
Unknown 42 32%