Community context and individual factors associated with arrests among young men in a South African township
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 exam...
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creator | Christodoulou, Joan Stokes, Lynissa R Bantjes, Jason Tomlinson, Mark Stewart, Jackie Rabie, Stephan Gordon, Sarah Mayekiso, Andile Rotheram-Borus, Mary Jane |
description | 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.
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.
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.
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.
ClinicalTrials.gov registration #NCT02358226, registered Nov 24, 2014. |
doi_str_mv | 10.1371/journal.pone.0209073 |
format | Article |
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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.
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.
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.
ClinicalTrials.gov registration #NCT02358226, registered Nov 24, 2014.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0209073</identifier><identifier>PMID: 30653530</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Addictions ; Adolescent ; Adult ; Aggression ; Alcohol ; Arrest ; Arrests ; Biology and Life Sciences ; Black People ; Communities ; Community ; Crime ; Criminal investigations ; Criminal justice ; Criminology ; Demographic aspects ; Domestic violence ; Drug use ; Earth Sciences ; Engineering and Technology ; Gang violence ; Gangs ; Health status ; Humans ; Immigrants ; Imprisonment ; Infrastructure ; Judicial system ; Juvenile delinquency ; Law Enforcement ; Male ; Marijuana ; Medical diagnosis ; Medicine and Health Sciences ; Men ; Mental depression ; Mental health ; Methamphetamine ; Murders & murder attempts ; Neighborhoods ; Psychiatry ; Psychology ; Public health ; Registration ; Regression analysis ; Regression models ; Risk factors ; Social aspects ; Social Sciences ; South Africa ; South Africans ; Substance abuse ; Substance abusers ; Substance use ; Substance-Related Disorders ; Violence ; Violence - statistics & numerical data ; Young Adult ; Young men</subject><ispartof>PloS one, 2019-01, Vol.14 (1), p.e0209073</ispartof><rights>COPYRIGHT 2019 Public Library of Science</rights><rights>2019 Christodoulou et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2019 Christodoulou et al 2019 Christodoulou et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-147f543ff82b8982dd665e99636251e3862859826ea1cf79506911bc1074ae1c3</citedby><cites>FETCH-LOGICAL-c692t-147f543ff82b8982dd665e99636251e3862859826ea1cf79506911bc1074ae1c3</cites><orcidid>0000-0001-6997-1567 ; 0000-0003-0982-8763</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6336339/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6336339/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27344,27924,27925,33774,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30653530$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Baggio, Stéphanie</contributor><creatorcontrib>Christodoulou, Joan</creatorcontrib><creatorcontrib>Stokes, Lynissa R</creatorcontrib><creatorcontrib>Bantjes, Jason</creatorcontrib><creatorcontrib>Tomlinson, Mark</creatorcontrib><creatorcontrib>Stewart, Jackie</creatorcontrib><creatorcontrib>Rabie, Stephan</creatorcontrib><creatorcontrib>Gordon, Sarah</creatorcontrib><creatorcontrib>Mayekiso, Andile</creatorcontrib><creatorcontrib>Rotheram-Borus, Mary Jane</creatorcontrib><title>Community context and individual factors associated with arrests among young men in a South African township</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>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.
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.
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.
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.
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delinquency</subject><subject>Law Enforcement</subject><subject>Male</subject><subject>Marijuana</subject><subject>Medical diagnosis</subject><subject>Medicine and Health Sciences</subject><subject>Men</subject><subject>Mental depression</subject><subject>Mental health</subject><subject>Methamphetamine</subject><subject>Murders & murder attempts</subject><subject>Neighborhoods</subject><subject>Psychiatry</subject><subject>Psychology</subject><subject>Public health</subject><subject>Registration</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Risk factors</subject><subject>Social aspects</subject><subject>Social Sciences</subject><subject>South Africa</subject><subject>South Africans</subject><subject>Substance abuse</subject><subject>Substance abusers</subject><subject>Substance use</subject><subject>Substance-Related Disorders</subject><subject>Violence</subject><subject>Violence - statistics & numerical data</subject><subject>Young 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context and individual factors associated with arrests among young men in a South African township</title><author>Christodoulou, Joan ; Stokes, Lynissa R ; Bantjes, Jason ; Tomlinson, Mark ; Stewart, Jackie ; Rabie, Stephan ; Gordon, Sarah ; Mayekiso, Andile ; Rotheram-Borus, Mary Jane</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-147f543ff82b8982dd665e99636251e3862859826ea1cf79506911bc1074ae1c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Addictions</topic><topic>Adolescent</topic><topic>Adult</topic><topic>Aggression</topic><topic>Alcohol</topic><topic>Arrest</topic><topic>Arrests</topic><topic>Biology and Life Sciences</topic><topic>Black People</topic><topic>Communities</topic><topic>Community</topic><topic>Crime</topic><topic>Criminal investigations</topic><topic>Criminal justice</topic><topic>Criminology</topic><topic>Demographic aspects</topic><topic>Domestic violence</topic><topic>Drug use</topic><topic>Earth Sciences</topic><topic>Engineering and Technology</topic><topic>Gang violence</topic><topic>Gangs</topic><topic>Health status</topic><topic>Humans</topic><topic>Immigrants</topic><topic>Imprisonment</topic><topic>Infrastructure</topic><topic>Judicial system</topic><topic>Juvenile delinquency</topic><topic>Law Enforcement</topic><topic>Male</topic><topic>Marijuana</topic><topic>Medical diagnosis</topic><topic>Medicine and Health Sciences</topic><topic>Men</topic><topic>Mental depression</topic><topic>Mental health</topic><topic>Methamphetamine</topic><topic>Murders & murder attempts</topic><topic>Neighborhoods</topic><topic>Psychiatry</topic><topic>Psychology</topic><topic>Public health</topic><topic>Registration</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Risk factors</topic><topic>Social aspects</topic><topic>Social Sciences</topic><topic>South Africa</topic><topic>South Africans</topic><topic>Substance abuse</topic><topic>Substance abusers</topic><topic>Substance use</topic><topic>Substance-Related Disorders</topic><topic>Violence</topic><topic>Violence - statistics & numerical data</topic><topic>Young Adult</topic><topic>Young men</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Christodoulou, Joan</creatorcontrib><creatorcontrib>Stokes, Lynissa R</creatorcontrib><creatorcontrib>Bantjes, Jason</creatorcontrib><creatorcontrib>Tomlinson, Mark</creatorcontrib><creatorcontrib>Stewart, Jackie</creatorcontrib><creatorcontrib>Rabie, Stephan</creatorcontrib><creatorcontrib>Gordon, Sarah</creatorcontrib><creatorcontrib>Mayekiso, Andile</creatorcontrib><creatorcontrib>Rotheram-Borus, Mary Jane</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE 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Stéphanie</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Community context and individual factors associated with arrests among young men in a South African township</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2019-01-17</date><risdate>2019</risdate><volume>14</volume><issue>1</issue><spage>e0209073</spage><pages>e0209073-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>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.
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.
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.
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.
ClinicalTrials.gov registration #NCT02358226, registered Nov 24, 2014.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>30653530</pmid><doi>10.1371/journal.pone.0209073</doi><tpages>e0209073</tpages><orcidid>https://orcid.org/0000-0001-6997-1567</orcidid><orcidid>https://orcid.org/0000-0003-0982-8763</orcidid><oa>free_for_read</oa></addata></record> |
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source | PubMed Central Free; MEDLINE; Public Library of Science; DOAJ Directory of Open Access Journals; Free Full-Text Journals in Chemistry; Sociological Abstracts; EZB Electronic Journals Library |
subjects | Addictions Adolescent Adult Aggression Alcohol Arrest Arrests Biology and Life Sciences Black People Communities Community Crime Criminal investigations Criminal justice Criminology Demographic aspects Domestic violence Drug use Earth Sciences Engineering and Technology Gang violence Gangs Health status Humans Immigrants Imprisonment Infrastructure Judicial system Juvenile delinquency Law Enforcement Male Marijuana Medical diagnosis Medicine and Health Sciences Men Mental depression Mental health Methamphetamine Murders & murder attempts Neighborhoods Psychiatry Psychology Public health Registration Regression analysis Regression models Risk factors Social aspects Social Sciences South Africa South Africans Substance abuse Substance abusers Substance use Substance-Related Disorders Violence Violence - statistics & numerical data Young Adult Young men |
title | Community context and individual factors associated with arrests among young men in a South African township |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-03T14%3A27%3A15IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Community%20context%20and%20individual%20factors%20associated%20with%20arrests%20among%20young%20men%20in%20a%20South%20African%20township&rft.jtitle=PloS%20one&rft.au=Christodoulou,%20Joan&rft.date=2019-01-17&rft.volume=14&rft.issue=1&rft.spage=e0209073&rft.pages=e0209073-&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0209073&rft_dat=%3Cgale_plos_%3EA569978576%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2168180814&rft_id=info:pmid/30653530&rft_galeid=A569978576&rft_doaj_id=oai_doaj_org_article_2c4d3951b8674bf18d966d9e906434b5&rfr_iscdi=true |