Severe food insecurity associated with mortality among lower-income Canadian adults approaching eligibility for public pensions: a population cohort study
Bibliographic record
Abstract
BACKGROUND: The prevalence of food insecurity among adults over 65 in Canada is less than half of that among adults approaching 65, possibly due in part to the public pension universally disbursed from the age of 65. Given research associating food insecurity with higher risk of premature mortality, our objective was to determine the likelihood that food-insecure adults with incomes below the national median would live past 65 to collect the public pension. METHODS: We linked respondents of the Canadian Community Health Survey 2005-15 to the death records from the Canadian Vital Statistics Database 2005-17. We assessed household food insecurity status through a validated 18-item questionnaire for 50,780 adults aged 52-64 at interview and with household income below the national median. We traced their vital status up to the age of 65. We fitted Cox proportional hazard models to compare hazard of all-cause mortality before 65 by food insecurity status while adjusting for individual demographic attributes, baseline health, and household socioeconomic characteristics. We also stratified the sample by income and analyzed the subsamples with income above and below the Low Income Measure separately. RESULTS: Marginal, moderate, and severe food insecurity were experienced by 4.1, 7.3, and 4.5% of the sampled adults, respectively. The crude mortality rate was 49 per 10,000 person-years for food-secure adults and 86, 98, and 150 per 10,000 person-years for their marginally, moderately, and severely food-insecure counterparts, respectively. For the full sample and low-income subsample, respectively, severe food insecurity was associated with 1.24 (95% CI: 1.06, 1.45) and 1.28 (95% CI: 1.07, 1.52) times higher hazard of dying before 65 relative to food security. No association was found between food insecurity and mortality in the higher-income subsample. CONCLUSIONS: Severely food-insecure adults approaching retirement age were more likely to die before collecting public pensions that might attenuate their food insecurity. Policymakers need to acknowledge the challenges to food security and health faced by working-age adults and provide them with adequate assistance to ensure healthy ageing into retirement.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".