Alcohol and Repeated Deliberate Self-Harm
Bibliographic record
Abstract
BACKGROUND: Repeated episode(s) of deliberate self-harm (RDSH) is a major risk factor for suicide. AIMS: To identify specific risk factors for RDSH among patients admitted following an episode of deliberate self-harm (DSH) through acute intoxication. METHODS: A prospective 6-month study was conducted with 184 patients (71% female) admitted to the emergency room (ER) as a result of self-poisoning (SP). RESULTS: Rate of RDSH stood at 18% after 6 months. The sociodemographic variables associated with repeated deliberate self-harm were to have no principal activity, consultation with a medical professional during the 6 months preceding the self-poisoning, and referral to psychiatric services upon release from the ER. The clinical variable associated with RDSH was alcohol addiction (OR=2.7; IC 95%=1.2-6.1, p<.05) as assessed at the time of the initial ER admission. CONCLUSIONS: When patients are initially admitted to the ER as a result of self-poisoning, it is important to evaluate specific factors, particularly alcohol use, that could subsequently lead to repeated deliberate self-harm. The goal is to improve the targeting and referral of patients toward structures that can best respond to their needs.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.003 | 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".