Gender differences in determinants of suicidal ideation in French-speaking community living elderly in Canada
Bibliographic record
Abstract
BACKGROUND: To inform public health suicide prevention and mental health promotion campaigns, this study will carry out gender-specific analyses to ascertain the determinants of suicidal ideation or death thoughts in a large representative sample of community dwelling older adults. METHODS: Data used in this study were from the ESA survey (Enquête sur la Santé des Aînés - Survey on the Health of the Elderly) on a large representative sample of community dwelling older adults (n = 2,494). Multivariate logistic regression analysis was used to study the association between suicidal ideation, mental health service, and antidepressant use and a number of clinical and socio-demographic factors. RESULTS: The prevalence of suicidal ideation reached 6.3%. The findings of this study show that the presence of suicidal ideation in females is associated with younger age, single or widowed status, the reporting of daily life stressors, and chronic conditions as well as the presence of major or minor depression in the past year. In males, suicidal ideation is associated with older age, single or widowed status, and depression. Furthermore, suicidal ideation is significantly associated with antidepressant use in females but not males and this after controlling for a number of clinical factors. CONCLUSION: Although no gender differences are observed between suicidal ideation and mental health service use, females with suicidal ideation are more likely to be dispensed antidepressants than males with suicidal ideation. Future research should focus on gender-specific determinants of antidepressant and mental health service use associated with suicidal ideation.
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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 | 0.001 | 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 | 0.000 | 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".