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Journal Article

Citation

Christodoulou J, Stokes LR, Bantjes J, Tomlinson M, Stewart J, Rabie S, Gordon S, Mayekiso A, Rotheram-Borus MJ. PLoS One 2019; 14(1): e0209073.

Affiliation

Department of Psychiatry & Biobehavioral Sciences, Semel Institute, University of California, Los Angeles, United States of America.

Copyright

(Copyright © 2019, Public Library of Science)

DOI

10.1371/journal.pone.0209073

PMID

30653530

Abstract

BACKGROUND: In high-income countries, individual- and community-level factors are associated with increased contact with the criminal justice system. However, little is known about how these factors contribute to the risk of arrest in South Africa, which has one of the highest rates of arrests globally. We examine both individual- and community-level factors associated with arrests among young men living in the townships of Cape Town.

METHODS: Data were collected from a stratified community sample of 906 young men aged 18-29 years old living in 18 township neighborhoods. Communities with high and low rates of arrest were identified. Logistic regression models were used to assess which individual-level (such as substance use and mental health status) and community-level (such as infrastructure and presence of bars and gangs) factors predict arrests.

RESULTS: Significant predictors of arrests were substance use, gang activity, being older, more stressed, and less educated. Living in communities with better infrastructure and in more recently established communities populated by recent immigrants was associated with having a history of arrests.

CONCLUSIONS: When considering both individual- and community-level factors, substance use and gang violence are the strongest predictors of arrests among young men in South Africa. Unexpectedly, communities with better infrastructure have higher arrest rates. Community programs are needed to combat substance use and gang activity as a pathway out of risk among South African young men. TRIAL REGISTRATION: ClinicalTrials.gov registration #NCT02358226, registered Nov 24, 2014.


Language: en

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