Explaining the gaps in psychological distress and suicidal behaviours between non-Indigenous and Indigenous adults living off-reserve in Canada: a cross-sectional study
Bibliographic record
Abstract
BACKGROUND: Indigenous people are disproportionately affected by mental health issues in Canada. We investigated factors underlying the difference in psychological distress and suicidal behaviours between non-Indigenous and Indigenous populations living off-reserve in Canada. METHODS: We conducted a cross-sectional study using data from the 2012 Canadian Community Health Survey - Mental Health. Respondents were aged 18 years and older. We measured the variation in psychological distress (10-item Kessler Psychological Distress Scale scores, ranging from 10 [no distress] to 50 [severe distress]) and the prevalence of lifetime suicidal ideation and suicide plan between the Indigenous and non-Indigenous populations and explained these differences using the Blinder-Oaxaca approach. RESULTS: < 0.001). We found that if socioeconomic status among Indigenous people were made to be similar to that of the non-Indigenous population, the differences in mean psychological distress scores and prevalence of lifetime suicidal ideation and suicide plan would have been reduced by 25.7% (women 20.8%, men 36.9%), 10.2% (women 11.2%, men 11.9%) and 5.8% (women 7.8%, men 8.1%), respectively. INTERPRETATION: Socioeconomic factors account for a considerable proportion of the variation in mental health outcomes between non-Indigenous and Indigenous populations in Canada. Improving socioeconomic status among Indigenous people through plans like income equalization may reduce the gap in mental health outcomes between the 2 populations in Canada.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".