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Health-related factors predict return to custody in a large cohort of ex-prisoners: new approaches to predicting re-incarceration

Background Numerous poor health outcomes have been documented in the world’s large and growing population of prisoners and ex-prisoners. Repeat justice involvement and incarceration is normative for ex-prisoners in most countries. This study aimed to identify important health-related predictors of r...

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Published in:Health & justice 2015-05, Vol.3 (1), p.1, Article 10
Main Authors: Thomas, Emma G, Spittal, Matthew J, Taxman, Faye S, Kinner, Stuart A
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description Background Numerous poor health outcomes have been documented in the world’s large and growing population of prisoners and ex-prisoners. Repeat justice involvement and incarceration is normative for ex-prisoners in most countries. This study aimed to identify important health-related predictors of re-incarceration and to quantify their contribution to predicting re-incarceration. Methods Participants were 1 325 adult ex-prisoners in Queensland, Australia. We developed a multivariate Cox proportional hazards model for re-incarceration including health-related covariates from a pre-release survey. Results In addition to well-established risk factors (criminal history, drug-related sentence, younger age, male gender and Indigenous ethnicity), several health-related variables were important risk factors for re-incarceration in multivariate analyses, including risky use of cannabis (hazard ratio 1.27; 95% confidence interval 1.06, 1.51), amphetamines (HR 1.20; 95%CI 0.99, 1.46) or opioids (HR 1.33; 95%CI 1.08, 1.63) prior to incarceration, central nervous system medication prescription (HR 1.28; 95%CI 1.06, 1.54), reporting that maintaining physical health post-release was not important (HR 1.52; 95%CI 0.98, 2.36) and poverty prior to incarceration (HR 1.24; 95%CI 1.02, 1.52). Sedentary behaviour (HR 0.82; 95%CI 0.68, 1.00), obesity (HR 0.81; 95%CI 0.64, 1.02), multiple lifetime chronic illnesses (HR 0.85; 95%CI 0.71, 1.01) and a history of self-harm (HR 0.72; 95%CI 0.59, 0.88) were associated with a reduced risk of re-incarceration. Inclusion of health-related variables in the model improved prediction of re-incarceration compared to a model with only demographic and criminal justice predictors, leading to an increase in adjusted proportion of explained variation of 0.051 (95%CI 0.031, 0.107). Conclusions Health-related factors predict re-incarceration after adjustment for demographic and criminal justice factors. Further research is required to establish the reproducibility of our findings and understand the causal pathways linking health at release from prison to re-incarceration.
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Repeat justice involvement and incarceration is normative for ex-prisoners in most countries. This study aimed to identify important health-related predictors of re-incarceration and to quantify their contribution to predicting re-incarceration. Methods Participants were 1 325 adult ex-prisoners in Queensland, Australia. We developed a multivariate Cox proportional hazards model for re-incarceration including health-related covariates from a pre-release survey. Results In addition to well-established risk factors (criminal history, drug-related sentence, younger age, male gender and Indigenous ethnicity), several health-related variables were important risk factors for re-incarceration in multivariate analyses, including risky use of cannabis (hazard ratio 1.27; 95% confidence interval 1.06, 1.51), amphetamines (HR 1.20; 95%CI 0.99, 1.46) or opioids (HR 1.33; 95%CI 1.08, 1.63) prior to incarceration, central nervous system medication prescription (HR 1.28; 95%CI 1.06, 1.54), reporting that maintaining physical health post-release was not important (HR 1.52; 95%CI 0.98, 2.36) and poverty prior to incarceration (HR 1.24; 95%CI 1.02, 1.52). Sedentary behaviour (HR 0.82; 95%CI 0.68, 1.00), obesity (HR 0.81; 95%CI 0.64, 1.02), multiple lifetime chronic illnesses (HR 0.85; 95%CI 0.71, 1.01) and a history of self-harm (HR 0.72; 95%CI 0.59, 0.88) were associated with a reduced risk of re-incarceration. Inclusion of health-related variables in the model improved prediction of re-incarceration compared to a model with only demographic and criminal justice predictors, leading to an increase in adjusted proportion of explained variation of 0.051 (95%CI 0.031, 0.107). Conclusions Health-related factors predict re-incarceration after adjustment for demographic and criminal justice factors. Further research is required to establish the reproducibility of our findings and understand the causal pathways linking health at release from prison to re-incarceration.</description><identifier>ISSN: 2194-7899</identifier><identifier>EISSN: 2194-7899</identifier><identifier>DOI: 10.1186/s40352-015-0022-6</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Community and Environmental Psychology ; Criminology and Criminal Justice ; Ex-convicts ; Health ; Law and Criminology ; Prisoners ; Public Health ; Recidivism ; Research Article ; Social Policy ; Survival analysis</subject><ispartof>Health &amp; justice, 2015-05, Vol.3 (1), p.1, Article 10</ispartof><rights>Thomas et al.; licensee Springer. 2015. 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Repeat justice involvement and incarceration is normative for ex-prisoners in most countries. This study aimed to identify important health-related predictors of re-incarceration and to quantify their contribution to predicting re-incarceration. Methods Participants were 1 325 adult ex-prisoners in Queensland, Australia. We developed a multivariate Cox proportional hazards model for re-incarceration including health-related covariates from a pre-release survey. Results In addition to well-established risk factors (criminal history, drug-related sentence, younger age, male gender and Indigenous ethnicity), several health-related variables were important risk factors for re-incarceration in multivariate analyses, including risky use of cannabis (hazard ratio 1.27; 95% confidence interval 1.06, 1.51), amphetamines (HR 1.20; 95%CI 0.99, 1.46) or opioids (HR 1.33; 95%CI 1.08, 1.63) prior to incarceration, central nervous system medication prescription (HR 1.28; 95%CI 1.06, 1.54), reporting that maintaining physical health post-release was not important (HR 1.52; 95%CI 0.98, 2.36) and poverty prior to incarceration (HR 1.24; 95%CI 1.02, 1.52). Sedentary behaviour (HR 0.82; 95%CI 0.68, 1.00), obesity (HR 0.81; 95%CI 0.64, 1.02), multiple lifetime chronic illnesses (HR 0.85; 95%CI 0.71, 1.01) and a history of self-harm (HR 0.72; 95%CI 0.59, 0.88) were associated with a reduced risk of re-incarceration. Inclusion of health-related variables in the model improved prediction of re-incarceration compared to a model with only demographic and criminal justice predictors, leading to an increase in adjusted proportion of explained variation of 0.051 (95%CI 0.031, 0.107). Conclusions Health-related factors predict re-incarceration after adjustment for demographic and criminal justice factors. Further research is required to establish the reproducibility of our findings and understand the causal pathways linking health at release from prison to re-incarceration.</description><subject>Community and Environmental Psychology</subject><subject>Criminology and Criminal Justice</subject><subject>Ex-convicts</subject><subject>Health</subject><subject>Law and Criminology</subject><subject>Prisoners</subject><subject>Public Health</subject><subject>Recidivism</subject><subject>Research Article</subject><subject>Social Policy</subject><subject>Survival analysis</subject><issn>2194-7899</issn><issn>2194-7899</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>ALSLI</sourceid><sourceid>BGRYB</sourceid><sourceid>M0O</sourceid><sourceid>M2R</sourceid><sourceid>PIMPY</sourceid><recordid>eNp1kU9LHTEUxYdSoaJ-gO4CXcfmzyQz6UIQsSoIbtp1uGbuvDcyJtObPK1Lv7l5vIfYRckigXvO7x5ymuarFKdS9vZ7boU2igtpuBBKcfupOVTStbzrnfv84f2lOcn5QQghRada1x82r9cIc1lzwhkKDmyEUBJlthAOUyiMsGwospJY2OSShhc2RQZsBlohC2mdqLA0MvzLF5pyikj5B4v4zGBZKEFYY96a97gpriqRTzEABSQoU4rHzcEIc8aT_X3U_P55-evimt_eXd1cnN_yoIyz3AmltWmh7zQGlOCwV9CawQoVNHS9Et0Y-lbYznRgsLdCD1rbAcQY7p0x-qg523GXzf0jDgFjIZh9jf0I9OITTP7fSZzWfpWevJH1KFkB3_YASn82mIt_SPVvamYvO-WEU9JuVXKnCpRyJhzfN0jht235XVu-tuW3bXlbPWrnyVUbV0gfyP81vQG7vZoC</recordid><startdate>20150520</startdate><enddate>20150520</enddate><creator>Thomas, Emma G</creator><creator>Spittal, Matthew J</creator><creator>Taxman, Faye S</creator><creator>Kinner, Stuart A</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>0-V</scope><scope>3V.</scope><scope>7XB</scope><scope>88C</scope><scope>88J</scope><scope>8AM</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGRYB</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>K7.</scope><scope>M0O</scope><scope>M0T</scope><scope>M2R</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>5PM</scope></search><sort><creationdate>20150520</creationdate><title>Health-related factors predict return to custody in a large cohort of ex-prisoners: new approaches to predicting re-incarceration</title><author>Thomas, Emma G ; Spittal, Matthew J ; Taxman, Faye S ; Kinner, Stuart A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2596-9023354a873ece1a9e82a45d602c3a78207fc8406757a5e8603d336da0fcb9553</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Community and Environmental Psychology</topic><topic>Criminology and Criminal Justice</topic><topic>Ex-convicts</topic><topic>Health</topic><topic>Law and Criminology</topic><topic>Prisoners</topic><topic>Public Health</topic><topic>Recidivism</topic><topic>Research Article</topic><topic>Social Policy</topic><topic>Survival analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Thomas, Emma G</creatorcontrib><creatorcontrib>Spittal, Matthew J</creatorcontrib><creatorcontrib>Taxman, Faye S</creatorcontrib><creatorcontrib>Kinner, Stuart A</creatorcontrib><collection>SpringerOpen</collection><collection>CrossRef</collection><collection>ProQuest Social Sciences Premium Collection</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Healthcare Administration Database (Alumni)</collection><collection>Social Science Database (Alumni Edition)</collection><collection>Criminal Justice Database (Alumni Edition)</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>Social Science Premium Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Criminology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>ProQuest Criminal Justice (Alumni)</collection><collection>Criminal Justice Database</collection><collection>Healthcare Administration Database</collection><collection>Social Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Health &amp; justice</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Thomas, Emma G</au><au>Spittal, Matthew J</au><au>Taxman, Faye S</au><au>Kinner, Stuart A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Health-related factors predict return to custody in a large cohort of ex-prisoners: new approaches to predicting re-incarceration</atitle><jtitle>Health &amp; justice</jtitle><stitle>Health Justice</stitle><date>2015-05-20</date><risdate>2015</risdate><volume>3</volume><issue>1</issue><spage>1</spage><pages>1-</pages><artnum>10</artnum><issn>2194-7899</issn><eissn>2194-7899</eissn><abstract>Background Numerous poor health outcomes have been documented in the world’s large and growing population of prisoners and ex-prisoners. Repeat justice involvement and incarceration is normative for ex-prisoners in most countries. This study aimed to identify important health-related predictors of re-incarceration and to quantify their contribution to predicting re-incarceration. Methods Participants were 1 325 adult ex-prisoners in Queensland, Australia. We developed a multivariate Cox proportional hazards model for re-incarceration including health-related covariates from a pre-release survey. Results In addition to well-established risk factors (criminal history, drug-related sentence, younger age, male gender and Indigenous ethnicity), several health-related variables were important risk factors for re-incarceration in multivariate analyses, including risky use of cannabis (hazard ratio 1.27; 95% confidence interval 1.06, 1.51), amphetamines (HR 1.20; 95%CI 0.99, 1.46) or opioids (HR 1.33; 95%CI 1.08, 1.63) prior to incarceration, central nervous system medication prescription (HR 1.28; 95%CI 1.06, 1.54), reporting that maintaining physical health post-release was not important (HR 1.52; 95%CI 0.98, 2.36) and poverty prior to incarceration (HR 1.24; 95%CI 1.02, 1.52). Sedentary behaviour (HR 0.82; 95%CI 0.68, 1.00), obesity (HR 0.81; 95%CI 0.64, 1.02), multiple lifetime chronic illnesses (HR 0.85; 95%CI 0.71, 1.01) and a history of self-harm (HR 0.72; 95%CI 0.59, 0.88) were associated with a reduced risk of re-incarceration. Inclusion of health-related variables in the model improved prediction of re-incarceration compared to a model with only demographic and criminal justice predictors, leading to an increase in adjusted proportion of explained variation of 0.051 (95%CI 0.031, 0.107). Conclusions Health-related factors predict re-incarceration after adjustment for demographic and criminal justice factors. Further research is required to establish the reproducibility of our findings and understand the causal pathways linking health at release from prison to re-incarceration.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1186/s40352-015-0022-6</doi><oa>free_for_read</oa></addata></record>
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subjects Community and Environmental Psychology
Criminology and Criminal Justice
Ex-convicts
Health
Law and Criminology
Prisoners
Public Health
Recidivism
Research Article
Social Policy
Survival analysis
title Health-related factors predict return to custody in a large cohort of ex-prisoners: new approaches to predicting re-incarceration
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