Clinical and Psychosocial Stress Correlates of Self‐Harm in Women: A Retrospective Cohort Study in the Forensic Mental Health Setting
Bibliographic record
Abstract
Para-suicidal behaviours and self-harm are commonly observed in mental health institutions, with women inpatients being particularly at risk. Little research has looked at characteristics of women engaging in self-harmful conduct beyond diagnostic and socio-demographic information. The current study investigated occurrences of self-harm over time in a large sample of women housed in forensic mental health units in the province of Ontario, Canada. Background and clinical information was obtained from staff ratings on the Resident Assessment Instrument-Mental Health at admission and every 3 months afterwards for an approximately 2-year time period. Latent class mixed models identified two distinct profiles, the first one (77.4% of sample) characterised by a low or intermittent use of self-harm, the second (22.6% of sample) showing a stable elevated risk profile. Women in the at-risk group tended to be younger, showed increased signs of subjective distress and greater occurrence of adverse life events in their history. Psychiatric diagnosis in itself was not a valid predictor of the stability of self-harm for this sample. These findings highlight the importance of addressing both clinical and stress-related distal vulnerability factors in the background of institutionalised women who engage in self-harm on a stable basis.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".