Examining the association between diabetes, depressive symptoms, and suicidal ideation among Aboriginal Canadian peoples living off-reserve: a cross-sectional, population-based study
Bibliographic record
Abstract
BACKGROUND: Diabetes is a prevalent chronic condition that has been linked to depression and suicidal behavior. The Aboriginal peoples of Canada are known to suffer from significant health disparities and higher burden of physical and mental illnesses. The purpose of this study was to assess whether diabetes is associated with higher depressive symptoms and lifetime suicidal ideation among Aboriginal Canadian peoples living off-reserve. METHODS: Data were obtained from the Aboriginal Peoples Survey, 2012. Depressive symptoms were evaluated by a modified version of the previously validated K-10 scale, while diabetes and suicidal ideation were self-reported. A secondary analysis was conducted on a weighted sample of 689,860 participants for depressive symptoms (9.25% diabetics) and 694,960 for suicidal ideation (9.39% diabetics). Descriptive statistics and multiple logistic regression analysis were conducted. RESULTS: Our study found that the prevalence of depressive symptoms was higher among diabetics (17.53%) compared with nondiabetics (11.12%; OR =1.70, 95% CI: 1.22-1.61). After adjusting for sociodemographic variables, smoking/alcohol use/drug use, anxiety disorders, and other chronic illnesses, diabetes was still significantly associated with depressive symptoms (aOR =1.46, 95% CI: 1.03-2.07). Additionally, diabetics (23.86%) were more likely to report suicidal ideation compared with nondiabetics (18.71%; OR =1.36, 95% CI: 1.05-1.77). Controlling for the effect of sociodemographics and health-related behaviors, diabetes was still associated with higher risk of reporting suicidal ideation (aOR =1.40, 95% CI: 1.05-1.88). CONCLUSION: Our results suggest that the Aboriginal Canadian diabetic patients living off-reserve are at higher risk of depressive symptoms and suicidal ideation. Culturally appropriate co-screening strategies need to be implemented in primary health care settings to provide the supports necessary for this vulnerable population. Further research is needed to fully elucidate the nature of these associations in order to develop effective intervention and treatment approaches.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".