Suicide among Inuit: Results from a Large, Epidemiologically Representative Follow-Back Study in Nunavut
Bibliographic record
Abstract
OBJECTIVE: The Inuit population in Canada's North has suffered from high rates of death by suicide. We report on the first large-scale, controlled, epidemiologically representative study of deaths by suicide in an Indigenous population, which investigates risk factors for suicide among all Inuit across Nunavut who died by suicide during a 4-year period. METHODS: We identified all suicides by Inuit (n = 120) that occurred between January 1, 2003, and December 31, 2006, in Nunavut. For each subject, we selected a community-matched control subject. We used proxy-based procedures and conducted structured interviews with informants to obtain life histories, Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Axis I and II diagnoses, and measures of impulsive and (or) aggressive traits. RESULTS: Compared with control subjects, subjects who died by suicide were more likely to have experienced childhood abuse (OR 2.38; 95% CI 1.39 to 4.08), have family histories of major depressive disorder (P = 0.002) and suicide completion (P = 0.02), and have been affected by major depressive disorder (OR 13.00; 95% CI 6.20 to 27.25), alcohol dependence (OR 2.90; 95% CI 1.59 to 5.24), or cannabis dependence (OR 3.96; 95% CI 2.29 to 6.8) in the last 6 months. In addition, subjects who died by suicide were more likely to have been affected with cluster B personality disorders (OR 10.18; 95% CI 3.34 to 30.80) and had higher scores of impulsive and aggressive traits (P < 0.001). CONCLUSIONS: At the individual level, clinical risk factors for suicide among Inuit are similar to those observed in studies with the general population, and indicate a need for improved access to mental health services. The high rate of mental health problems among control subjects suggests the need for population-level mental health promotion.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 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".