Literature DB >> 22213477

Recidivism in subgroups of serious juvenile offenders: different profiles, different risks?

Eva Mulder1, Jeroen Vermunt, Eddy Brand, Ruud Bullens, Hjalmar van Marle.   

Abstract

BACKGROUND: Research has shown that the treatment of juvenile offenders is most effective when it takes into account the possible risk factors for re-offending. It may be asked whether juvenile offenders can be treated as one homogeneous group, or, if they are divisible into subgroups, whether different risk factors are predictive of recidivism. AIMS AND HYPOTHESES: Our aims were to find out whether serious juvenile offenders may be subdivided into clearly defined subgroups and whether such subgroups might differ in terms of the risk factors that predict recidivism.
METHODS: In a sample of 1111 serious juvenile offenders, latent class analysis was used to identify subgroups. For each juvenile offender, 70 risk factors were registered. Severity of recidivism was measured on a 12-point scale. Analysis was then conducted to identify the risk factors that best predicted the different patterns of recidivism.
RESULTS: Four distinct subgroups of juvenile offenders were identified: serious violent offenders, violent property offenders, property offenders, and sex offenders. Violent property offenders were the most serious recidivists and had the highest number of risk factors. Serious violent offenders and property offenders were characterised by overt and covert behaviour, respectively. Sex offenders differed from the other three groups in the rarity of their recidivism and in the risk factors that are present. For each of these four subgroups, a different set of risk factors was found to predict severity of recidivism.
CONCLUSIONS: Differences in recidivism rates occurred in spite of the fact that most of these youngsters had been in the standard treatment programme offered to serious juvenile offenders in the Netherlands. This was not a treatment outcome study, but the indication that two of the groups identified in our study appeared to be worse after going through this programme, whereas the other two did quite well in terms of recidivism lends weight to our idea that such classification of juvenile offenders may lead to more targeted treatment programmes that would better serve both the general public and the youths concerned.
Copyright © 2011 John Wiley & Sons, Ltd.

Mesh:

Year:  2011        PMID: 22213477     DOI: 10.1002/cbm.1819

Source DB:  PubMed          Journal:  Crim Behav Ment Health        ISSN: 0957-9664


  14 in total

Review 1.  Recent research related to juvenile sex offending: findings and directions for further research.

Authors:  H Martin Malin; Fabian M Saleh; Albert J Grudzinskas
Journal:  Curr Psychiatry Rep       Date:  2014-04       Impact factor: 5.285

2.  Risk and Outcomes: Are Adolescents Charged with Sex Offenses Different from Other Adolescent Offenders?

Authors:  Amanda M Fanniff; Carol A Schubert; Edward P Mulvey; Anne-Marie R Iselin; Alex R Piquero
Journal:  J Youth Adolesc       Date:  2016-07-12

3.  Comparing the Robustness of Stepwise Mixture Modeling With Continuous Nonnormal Distal Outcomes.

Authors:  Myungho Shin; Unkyung No; Sehee Hong
Journal:  Educ Psychol Meas       Date:  2019-04-12       Impact factor: 2.821

4.  Using the PAI-A to Classify Juvenile Offenders by Adjudicated Offenses.

Authors:  Alexis M Humenik; Brittany N Sherrill; Rachel M Kantor; Sara L Dolan
Journal:  J Child Adolesc Trauma       Date:  2019-06-20

5.  Childhood Adversity among Court-Involved Youth: Heterogeneous Needs for Prevention and Treatment.

Authors:  Patricia Logan-Greene; B K Elizabeth Kim; Paula S Nurius
Journal:  J Juv Justice       Date:  2016

6.  Psychopathology, symptoms of attention-deficit/hyperactivity disorder, and risk factors in juvenile offenders.

Authors:  Francesco Margari; Francesco Craig; Lucia Margari; Emilia Matera; Anna Linda Lamanna; Paola Alessandra Lecce; Donatella La Tegola; Felice Carabellese
Journal:  Neuropsychiatr Dis Treat       Date:  2015-02-10       Impact factor: 2.570

7.  Violent and Nonviolent Youth Offenders: Preliminary Evidence on Group Subtypes.

Authors:  Violet Lai; Gerald Zeng; Chi Meng Chu
Journal:  Youth Violence Juv Justice       Date:  2015-11-20

8.  Quality of life, delinquency and psychosocial functioning of adolescents in secure residential care: testing two assumptions of the Good Lives Model.

Authors:  C S Barendregt; A M Van der Laan; I L Bongers; Ch Van Nieuwenhuizen
Journal:  Child Adolesc Psychiatry Ment Health       Date:  2018-01-08       Impact factor: 3.033

9.  Using the biopsychosocial model for identifying subgroups of detained juveniles at different risk of re-offending in practice: a latent class regression analysis approach.

Authors:  E L de Ruigh; S Bouwmeester; A Popma; R R J M Vermeiren; L van Domburgh; L M C Jansen
Journal:  Child Adolesc Psychiatry Ment Health       Date:  2021-06-22       Impact factor: 3.033

10.  The Influence of Treatment Motivation on Outcomes of Social Skills Training for Juvenile Delinquents.

Authors:  Trudy van der Stouwe; Jessica J Asscher; Machteld Hoeve; Peter H van der Laan; Geert Jan J M Stams
Journal:  Int J Offender Ther Comp Criminol       Date:  2016-05-24
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