Examining Non-Suicidal Self-Injury among Adolescents with Mental Health Needs, in Ontario, Canada
Bibliographic record
Abstract
The objectives of this study were to examine the prevalence of non-suicidal self-injury (NSSI) among adolescents with mental health needs and specific factors associated with NSSI among adolescents aged 14 to 18 years who received mental health services in adult mental health facilities in Ontario, Canada. Data on 2,013 adolescents were obtained from the Ontario Mental Health Reporting System using the Resident Assessment Instrument-Mental Health (RAI-MH) and were analyzed using logistic regression. Approximately, 20.2% (407 adolescents) of the sample engaged in NSSI within the last 12 months. Results from multivariate logistic regression indicate that females were 2.19 times more likely to engage in NSSI than males. Intentional misuse of prescription medication emerged as the most important factor associated with NSSI. Other factors found to be associated with NSSI included multiple psychiatric admissions, sexual abuse, use of alcohol, mood disorders (e.g., depression), adjustment disorders, personality disorders and symptoms of depression. The article discusses the implications of the findings, with suggestions for future research.
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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 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".