Hospitalisation for non‐lethal self‐harm and premature mortality in the 3 years following adolescent pregnancy: Population‐based nationwide cohort study
Bibliographic record
Abstract
OBJECTIVE: To evaluate the risk of non-lethal self-harm and mortality related to adolescent pregnancy. DESIGN: Nationwide population-based retrospective cohort. SETTING: Data were extracted from the French national health data system. POPULATION: We included all adolescents aged 12-18 years with an International Statistical Classification of Diseases and Related Health Problems, 10th Revision (ICD-10) code for pregnancy in 2013-2014. METHODS: Pregnant adolescents were compared with age-matched non-pregnant adolescents and with first-time pregnant women aged 19-25 years. MAIN OUTCOME MEASURES: Any hospitalisation for non-lethal self-harm and mortality during a 3-year follow-up period. Adjustment variables were age, a history of hospitalisation for physical diseases, psychiatric disorders, self-harm and reimbursed psychotropic drugs. Cox proportional hazards regression models were used. RESULTS: In 2013-2014, 35 449 adolescent pregnancies were recorded in France. After adjustment, pregnant adolescents had an increased risk of subsequent hospitalisation for non-lethal self-harm in comparison with both non-pregnant adolescents (n = 70 898) (1.3% vs 0.2%, HR 3.06, 95% CI 2.57-3.66) and pregnant young women (n = 233 406) (0.5%, HR 2.41, 95% CI 2.14-2.71). Rates of hospitalisation for non-lethal self-harm were lower during pregnancy and higher between 12 and 8 months pre-delivery, 3-7 months postpartum and in the month following abortion. Mortality was significantly higher in pregnant adolescents (0.7‰) versus pregnant young women (0.4‰, HR 1.74, 95% CI 1.12-2.72), but not versus non-pregnant adolescents (0.4‰, HR 1.61, 95% CI 0.92-2.83). CONCLUSIONS: Adolescent pregnancy is associated with an increased risk of hospitalisation for non-lethal self-harm and premature death. Careful psychological evaluation and support should be systematically implemented for adolescents who are pregnant.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".