The Psychosocial Characteristics Associated with NSSI and Suicide Attempt of Youth Admitted to an In-patient Psychiatric Unit.
Bibliographic record
Abstract
INTRODUCTION: The purpose of this study was to explore the prevalence of self-harm and the psychosocial factors associated with self-harming behaviours in youth admitted to an in-patient psychiatric unit. METHODS: Cross-sectional surveys of standardized measures were administered to youth and a separate survey to their caregivers while the youth were in hospital. RESULTS: The mean age of the 123 youth who participated was 15.74 (SD 1.51) years, and 90 of 121 (74.38%) reported being female. Of the 115 who completed this question, 101 (87.83%) indicated that they thought of injuring themselves and 89 (77.39%) did engage in NSSI within the past month, and 78 of 116 (67%) reported that they had made an attempt to take their life. Youth who reported that they had attempted suicide (lifetime) reported significantly less difficulty with emotion regulation than youth who engaged in NSSI only, or both NSSI and suicide attempts. CONCLUSIONS: These youth reported a very high prevalence of self-harm, and in general substantial difficulty with regulating their emotions, and difficulty with their interpersonal relationships. The psychosocial distinctions evident between groups may have practical utility.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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".