Improved emotion regulation following a trauma-informed CBT-based intervention associates with reduced risk for recidivism in justice-involved emerging adults
Bibliographic record
Abstract
Objective: Male youth who have been involved in the juvenile legal system have disproportionate rates of trauma and violence exposure. Many justice-involved youth have untreated mental illness, with an estimated 66% of young men who are incarcerated meeting criteria for at least one mental health disorder, including posttraumatic stress disorder (PTSD), depression, and substance abuse. While Cognitive Behavioral Therapy (CBT) approaches are considered among effective evidence-based treatments for addressing and treating behavioral and emotional difficulties, male youth with a history of incarceration and youth who are at risk for (re)incarceration, violence, emotion dysregulation, and trauma face significant barriers in accessing these services. Methods: Roca, Inc. (Roca), an internationally recognized organization moving the needle on urban violence by working relentlessly with young people at the center of violence in Massachusetts and Maryland, employs a trauma-informed CBT-based skills curriculum and approach in their intervention model, to improve youths' educational, employment, parenting, and life skills opportunities, while decreasing risk for recidivism, addressing trauma and increasing skills for emotion regulation. The aim of this analysis was to assess the effectiveness of Roca's trauma-informed CBT skills curriculum on youths' emotional and behavioral outcomes. We analyzed data from over 300 participating emerging adult men from four sites in Massachusetts and one site in Baltimore, Maryland who had at least three series of data collection across multiple skills-based sessions. Results: We found improvements in outcomes in overall mean scores related to decreased distress about employment and education, as are expected with standard intervention approaches for justice-involved youth. Participants who show improvement in emotion regulation across engagement (approximately half the cohort), were found to have significant improvements in distress related to relationship and family functioning and self-care, and decreased substance use, along with other outcomes compared to those participants with less improvement in emotion regulation. Furthermore, improvement in different aspects of emotion regulation were associated with improved relationships, life distress, substance use, and improved prosocial thinking. Conclusions: Together, these data suggest that adding mental health support and skills training, such as with trauma-informed CBT models, to programs for justice-involved youth may lead to significant improvements in functioning, quality of life, and mental health outcomes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".