Mindfulness-Based Interventions for Young Offenders: a Scoping Review.
Sharon Simpson1, Stewart Mercer1, Robert Simpson1
11General Practice and Primary Care, Institute of Health and Wellbeing, University of Glasgow, Glasgow, Scotland G12 9LX UK.
Mindfulness
|October 9, 2018
Summary
Mindfulness interventions show promise for reducing problematic behaviors and improving well-being in young offenders. However, evidence quality is low, necessitating further research for optimal program design.
Area of Science:
- Psychology
- Criminology
- Public Health
Background:
- Youth offending is a global issue often linked to adverse childhood experiences, mental health challenges, and poor quality of life.
- Mindfulness-based interventions (MBIs) show potential for managing such issues, but their efficacy in youth offending populations requires investigation.
Purpose of the Study:
- To systematically review the existing evidence on the effectiveness of mindfulness-based interventions for young people within the criminal justice system.
Main Methods:
- A comprehensive literature search identified 13 studies (including RCTs, controlled trials, pre-post, mixed-methods, and qualitative designs).
- Studies included interventions with core mindfulness-based stress reduction components delivered to incarcerated or community-rehabilitated youth.
- The review analyzed outcomes related to mental health, self-regulation, behavior, substance use, quality of life, and criminal propensity.
Main Results:
- Participants (n=842, 99% male, aged 14-23) showed some improvements in mental health, self-regulation, behavior, and quality of life.
- Mindfulness changes did not reach statistical significance in studies measuring it.
- Qualitative data indicated reduced stress, improved concentration, emotional regulation, social skills, and intervention acceptability.
Conclusions:
- MBIs may offer benefits for youth offenders, but the generally low quality of existing studies limits generalizability.
- Further research with clearer intervention components and robust mixed-methods designs is needed to optimize prevention programs.
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