McElroy, E., McIntyre, J.C., Bentall, R.P. et al. (10 more authors) (2019) Mental health, deprivation, and the neighborhood social environment: a network analysis. Clinical Psychological Science, 7 (4). pp. 719-734. ISSN 2167-7026
Abstract
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.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 The Authors. This is an author produced version of a paper subsequently published in Clinical Psychological Science. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
Keywords: | deprivation; mental health; neighborhood environment; network analysis; social capital; antisocial behavior |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Science (Sheffield) > Department of Psychology (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 03 Apr 2019 09:24 |
Last Modified: | 12 May 2021 13:29 |
Status: | Published |
Publisher: | SAGE Publications |
Refereed: | Yes |
Identification Number: | 10.1177/2167702619830640 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:144433 |
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