Suicide Attempts and Associated Factors in Newfoundland and Labrador, 1998–2000
Bibliographic record
Abstract
OBJECTIVE: This study examined the epidemiology and associated factors for suicide attempts requiring hospitalization in the province of Newfoundland and Labrador. METHOD: We extracted data from the provincial hospital separation database. Outcome measures included incidence rates (IRs) of suicide attempts by age, sex, and geographical region of residence. We also analyzed sociodemographic data to determine associated factors. RESULTS: A total of 978 patients who were hospitalized owing to suicide attempts were identified for 1998-2000, giving an overall IR of 68.7 per 100,000 person-years (P-Y). The age-specific rate for people aged 15 to 19 years was much greater, at 143.0 per 100,000 P-Y. The overall female-to-male ratio was 1.3, with an attempted suicide rate of 76.1 per 100,000 P-Y for female patients and 60.3 per 100,000 P-Y for male patients (P = 0.001). Labrador (210.2 per 100,000 P-Y), a region with a high Aboriginal population, had a higher rate of suicide attempts, compared with the island portion of the province (59.0 per 100,000 P-Y) (P < 0.001). More than 70% of hospitalizations were associated with psychiatric diagnosis. Poisoning was the most frequent method of attempting suicide. Higher IRs of suicide attempts were found among people who were divorced or separated and among those who were less educated (P < 0.001). CONCLUSIONS: Suicide attempt represents a significant public health concern in the province, particularly in Labrador. An increased risk of suicide attempts was associated with single status, female sex, younger age (teen or young adult), and low educational level during the index attempt. Further research is needed to explicate these findings and increase our understanding of attempted suicide.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".