Self-harm and suicide death in the three years following hospitalization for intentional self-harm in adolescents and young adults: A nationwide study
Bibliographic record
Abstract
Self-harm is frequent in youths. This study aimed to assess the risk of self-harm and mortality over a three-year period following self-harm hospitalization. Data were extracted from national databases in France. All patients aged 12 to 24 years and hospitalized for self-harm in 2013-2014 were included and compared to age- and sex-matched individuals with no self-harm hospitalization during this period. Cox proportional hazards regression models were used. Overall, 34,533 individuals were hospitalized for self-harm in 2013-2014 (70.8 % females, 79.6 % self-poisoning), with a peak among females aged 14-16. Comparison with 103,599 matched controls showed significantly higher rates of past self-harm, somatic and psychiatric disorders, and dispensed drugs in youth hospitalized for self-harm. During follow-up, they significantly more often repeated self-harm (20.9 vs. 0.1 %), died from any cause (0.6 vs 0.03 %) and from suicide (0.2 vs 0.01 %), particularly during the first year. The choice of a violent self-harm means at inclusion increased the risk of suicide during follow-up. Psychiatric disorders were a significant risk factor for all outcomes. In conclusion, at least one in five youths will self-harm, and one in two hundred will die in the three years following hospitalization for self-harm. Reinforced follow-up care is necessary in this population.
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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 | 0.003 | 0.000 |
| 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 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".