Time Trends in Suicide-Related Behaviours in Girls and Boys
Bibliographic record
Abstract
OBJECTIVE: To examine the incidence and nature of emergency department (ED) presentations for nonfatal suicide-related behaviours (SRBs) over time, in boys and girls living in Ontario. We hypothesize declining rates (fiscal years [FYs] 2002/03 to 2006/07) ceased thereafter owing to renewed regulatory warnings against prescribing antidepressants and the economic recession. METHOD: We graphed and tested differences in ED SRB incidence rates for FYs 2002/03 to 2010/11. We estimated rate ratios and 95% confidence intervals using negative binomial regression controlling for changes in the underlying population (age, community size, and neighbourhood income quintile). We examined the nature of the incident (index) presentations over time in terms of the method(s) used and events occurring before and after the index event. RESULTS: ED SRB incidence rates decreased by 30% in boys and girls from FYs 2002/03 to 2006/07, but not thereafter. This trend was most evident in girls who self-poisoned and in girls' presentations to hospital with mental illness in the preceding year. Within a year of the index event, the proportion of girls with a repeat ED SRB presentation also declined by about one-third, but beyond FYs 2005/06 to 2009/10. However, the proportion admitted subsequent to the index event increased by about one-third. In boys, their patterns of presentations to hospital with mental illness and SRB repetition over time were similar to girls, but estimated with greater variability. CONCLUSIONS: While the decline in ED SRB rates to FY 2006/07 is encouraging, the lack of decline thereafter and an increase in subsequent admissions merits ongoing monitoring and evaluation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".