Social relationships and depression among people 65 years and over living in rural and urban areas of Quebec
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: To compare the prevalence of depression within the elderly Quebec population residing in rural areas, urban areas and metropolitan Montreal, and to assess differences in the associations between social relationships and depression across these urban and rural settings. METHODS: Data originate from the first wave of the ESA (Etude de Santé des Ainés) longitudinal study on mental health of community dwelling older persons aged over 65 (n = 2670). Depression, including major and minor depression, measured using a computer questionnaire; the ESA-Q developed by the research team and based on the DSM-IV criteria. Assessments of associations between depression and geographic area, informal social networks and community participation were estimated adjusting for demographic, socioeconomic and health characteristics. RESULTS: The prevalence of depression was higher in rural (17%) and urban areas (15.1%) than in metropolitan Montreal (10.3%). The odds ratio of rural (OR = 2.01 95% CI 1.59-2.68) and urban (OR = 1.75; 95% CI 1.25-2.45) areas compared to the metropolitan area increased slightly after adjustment by all social and health covariates. Our study indicated that social support and the lack of conflict in intimate relationships were associated with lower prevalence of depression in all areas. CONCLUSION: Geographic differences in depression exist within the elderly population in Quebec that may generate significant impact on their health and functional abilities. Further research should be conducted to explain these differences.
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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 it