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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".