Trajectories of dynamic risk factors during forensic treatment: Growth trajectory of clinical risk factors in a sample of Dutch forensic patients

Robin Van der Linde, Stefan Bogaerts*, Carlo Garofalo, E. Blaauw, Elien De Caluwé, Eva Billen, Marinus Spreen

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

Abstract

In this study, growth trajectories (from admission until unconditional release) of crime-related dynamic risk factors were investigated in a sample of Dutch forensic patients (N = 317), using latent growth curve modeling. After testing the unconditional model, three predictors were added: first-time offender versus recidivist, age, and treatment duration. Postanalyses were chi-square difference tests, t tests, and analyses of variance (ANOVAs) to assess differences in trajectories. Overall, on scale level, a decrease of risk factors over time was found. The predictors showed no significant slope differences although age and treatment duration differed significantly at some time points. The oldest age group performed worse, especially at later time points. Treatment duration effects were found at the second time point. Our results that forensic patients show a decrease in crime-related risk factors may indicate that treatment is effective. This study also found differences in growth rates, indicating the effect of individual differences.
Original languageEnglish
Number of pages23
JournalInternational Journal of Offender Therapy and Comparative Criminology
DOIs
Publication statusE-pub ahead of print - 2020

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Keywords

  • CLASSIFICATION
  • CRIME
  • CRITERIA
  • HKT-R
  • MENTAL-HEALTH
  • OFFENDERS
  • OUTCOMES
  • OUTPATIENTS
  • PREVALENCE
  • RECIDIVISM
  • STIGMA
  • forensic psychiatry
  • latent growth analysis
  • risk factors

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