Associations Among Child Maltreatment, Mental Health, and Police Contact in Adulthood: Findings From a National Canadian Sample
Bibliographic record
Abstract
The purpose of this study was to examine associations between three subtypes of childhood maltreatment (physical abuse, sexual abuse, and exposure to intimate partner violence) and two forms of adult police contact (criminality, victimization) using nationally representative Canadian data. Presence of a mental health disorder was also explored as a potential mediating variable in these associations. The weighted sample included 23,846 adult participants from the 2012 Canadian Community Health Survey-Mental Health. Logistic and multinomial regression analyses examined associations among individual and multiple exposures to subtypes of childhood maltreatment with police contact. The Sobel test was used to assess the mediating effect of mental health disorders. Adjusting for sociodemographic variables, results indicated that all maltreatment subtypes were significantly associated with increased odds of both forms of police contact (adjusted odds ratios ranged from 2.06 to 2.95). Presence of a mental health disorder was a partial mediator in the associations between child maltreatment and both forms of adult police contact (adjusted odds ratios ranged from 1.52 to 2.32). In addition, a dose-response relationship was observed for victimization; as the number of subtypes of maltreatment increased, there was an incremental increase in risk of victimization. Future efforts are needed to prioritize child maltreatment prevention, trauma-informed approaches, mental health awareness, and training in law enforcement.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".