Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/53893

TitlePredicting infractions and health care utilization in prison: a meta-analysis
Author(s)Gonçalves, Leonel C.
Gonçalves, Rui Abrunhosa
Martins, C.
Dirkzwager, Anja J. E.
KeywordsPrisoners
Adjustment
Meta-analysis
Infractions
Health care
Issue dateAug-2014
PublisherSAGE Publications
JournalCriminal Justice and Behavior
Abstract(s)This meta-analysis was conducted to examine predictors of two indicators of inmates' adjustment to prison life: institutional infractions and health care utilization. Focusing on male prisoners, the final data set consisted of 90 studies and produced 1,815 correlations. Predictors were grouped into personal and contextual characteristics. Regarding institutional infractions, the strongest personal predictors were prior prison misconduct, aggressiveness, impulsiveness, antisocial traits, institutional risk, and younger age. At the contextual level, higher infraction rates were observed in prisons with more gang activity, and in prisons housing more inmates and a larger proportion of maximum security inmates. Major correlates of health care utilization were prior mental health problems, older age, and physical symptoms. Moderator effects were observed for prison sample size, sample selection, length of follow-up, geographic location, and type of analysis. These findings may help to improve prison classification procedures to optimize prisoners' management and treatment.
TypeArticle
URIhttp://hdl.handle.net/1822/53893
DOI10.1177/0093854814524402
ISSN0093-8548
e-ISSN1552-3594
Peer-Reviewedyes
AccessRestricted access (Author)
Appears in Collections:CIPsi - Artigos (Papers)

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