Unpacking the Association Between Food Insecurity and Mental Health Disorders Among Older Adults
Bibliographic record
Abstract
Objectives Previous research shows a negative correlation between food insecurity and mental health, but limited exploration exists among older adults. This study examines this association in Canadian adults aged 65 and older, focusing on the mediating roles of perceived life stress and community belonging, and the moderating role of gender. Methods Cross-sectional data from the 2017–2018 Canadian Community Health Survey ( n = 28,044) were analyzed using logistic regression. Results The associations between food insecurity and both anxiety and mood disorders were partially mediated by high life stress and low community belonging. The adverse associations of food insecurity, high life stress, and low community belonging with an anxiety disorder were more pronounced in women than in men. Similar patterns were observed for a mood disorder. Discussion Interventions should address food insecurity, life stress, and community belonging, with particular attention to the unique challenges faced by older women to improve mental health.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".