Unmet Health Care Needs Among Older People in Canada: Does Household Food Insecurity Matter?
Bibliographic record
Abstract
Background: Canada is undergoing a demographic shift, with projections indicating that over 25% of the country's population will be 65 years or older by 2063. While this has raised critical concerns about Canada's preparedness to meet the social and health-care needs of an aging population, the increasing incidence of food insecurity is particularly affecting vulnerable groups, such as older Canadians, with implications for their health-care service utilization. Despite this observation, there are nascent studies examining the role of household food insecurity status on unmet health-care needs among older people in Canada. The main objective of our study is to assess the association between household food insecurity and unmet health-care needs among older Canadians. Methods: We used data from a selected sample of 21,178 participants as part of the 2017-18 Canadian Community Health Survey and applied logistic regression analysis. Results: <.01) were more likely to have reported unmet health-care needs compared to their counterparts in food secure households, even after controlling for a range of demographic, socioeconomic, and health and health-care variables. Our finding is concerning, considering that older people in Canada who are in most need of health-care services due to their food insecurity status are instead reporting unmet health-care needs. Conclusion: This revelation calls for urgent policy attention to reduce the episodes of household food insecurity among older people in Canada. Specifically, to improve their access to health-care services, providing them with periodic grocery rebates as part of the social protection package for seniors in Canada would help mitigate the problem of food insecurity among them.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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".