Deliberate self-harm in adolescent psychiatric outpatients in Singapore: prevalence and associated risk factors
Bibliographic record
Abstract
INTRODUCTION: Deliberate self-harm (DSH) is frequently seen in adolescents with a range of mental health problems. The prevalence and features of DSH vary among different countries and settings. This study examines the prevalence of self-harm in a sample of adolescents seen at a psychiatric outpatient clinic in Singapore. METHODS: Information regarding self-harm, as well as its associated demographic and clinical risk factors, was extracted from the clinical records of 542 consecutive, new patients, aged 12-19 years, who presented between 2006 and 2010. RESULTS: DSH was reported in 23.6% of patients, and was positively associated with the female gender (odds ratio [OR] 4.54), mood disorders (OR 4.58), adjustment disorders (OR 3.41) and regular alcohol use (OR 4.80). However, there was no association with parental marital status, anxiety disorder, habitual smoking or family history of psychiatric illness. CONCLUSION: DSH is a significant clinical problem that may be influenced by biological and clinical factors. Adolescents presenting with DSH should be examined for mood and alcohol use disorders.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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".