Changing patterns of hospitalization for sedative misuse among youth aged 10–24 years in Quebec, Canada
Bibliographic record
Abstract
Purpose: To assess trends in hospitalization for sedative misuse among youth. Methods: Using a serial cross-sectional design, we computed hospitalization rates for sedative-related suicide attempts, sedative use disorders, and other sedative poisonings within individuals aged 5-24 years in Quebec, Canada. We computed sedative-related hospitalization rates in 2006-2011, 2012-2017, and 2018-2023, and examined differences according to age, sex, polysubstance use, mental health comorbidity, and social vulnerability using rate ratios (RR) and 95 % confidence intervals (CI) comparing the last time period relative to the first. Results: Sedative-related hospitalization rates more than doubled during the study. Suicide attempts using sedatives increased from 50.5 per 100,000 youth in 2006-2011, to 82.2 in 2012-2017 and 114.4 in 2018-2023 (RR 2.26, 95 % CI 1.63-3.15), while sedative use disorders increased from 13.1 to 21.8 and 60.5 per 100,000 in these same time periods (RR 4.62, 95 % CI 2.54-8.40). Rates increased for 10-24 year-olds and in both sexes, particularly among youth with polysubstance use, anxiety and attention disorders, and social vulnerability. Discussion: Sedative misuse requiring hospitalization appears to be a growing issue among youth.
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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 | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".