Rights statement: The final, definitive version of this article has been published in the Journal, Clinical Psychological Science, 7 (4), 2019, © SAGE Publications Ltd, 2019 by SAGE Publications Ltd at the Clinical Psychological Science page: https://journals.sagepub.com/home/cpx on SAGE Journals Online: http://journals.sagepub.com/
Accepted author manuscript, 1.32 MB, PDF document
Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License
Final published version
Research output: Contribution to Journal/Magazine › Journal article › peer-review
<mark>Journal publication date</mark> | 1/07/2019 |
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<mark>Journal</mark> | Clinical Psychological Science |
Issue number | 4 |
Volume | 7 |
Number of pages | 16 |
Pages (from-to) | 719-734 |
Publication Status | Published |
Early online date | 26/03/19 |
<mark>Original language</mark> | English |
Different aspects of the neighborhood social environment have been linked with mental ill health; however, the mechanisms underlying these associations remain poorly understood because of the number and complexity of the components involved. We used a novel statistical approach, network analysis, to explore the complex associations between neighborhood social cohesion, social disorder, and mental-health symptoms in a sample of 3,670 adults from an economically deprived region of the United Kingdom (mean age = 49.34 years, SD = 18.87; 57% female). Elasso regularized networks were estimated, and network comparisons were conducted by level of deprivation. Mental-health symptoms and neighborhood components formed relatively distinct clusters of items. These domains were linked primarily by paranoia, although only in the most deprived group. Drunken/rowdy behavior was particularly influential within the neighborhood cluster; therefore, policies aimed at reducing such disruptive behavior could have positive knock-on effects for social cohesion and mental health.