Trauma and Mental Health Problems in Adolescent Males
Bibliographic record
Abstract
Justice-involved youths are more likely to have mental health problems than peers in the community. Therefore, it is important to develop an understanding of the antecedents of mental health problems in this group. The present study examined the association between childhood trauma and mental health problems in juvenile justice-involved adolescent males ( N = 422), comparing childhood-onset with adolescent-onset offenders. Childhood-onset offenders were more likely than adolescent-onset offenders to report mental health and substance use problems, as well as childhood maltreatment. Via structural equation modeling, we found that childhood trauma predicted mental health problems in both offender groups. Multigroup analysis revealed a moderation effect of offender group: The association between trauma and mental health problems was stronger in adolescent-onset offenders than in childhood-onset offenders. Thus, mental health problems were more prevalent in childhood-onset offenders, but these problems were less well-explained by childhood trauma in childhood-onset than in adolescent-onset offenders. Theoretical and practical implications are discussed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".