Adverse changes in close social ties reduce fruit and vegetable intake in aging adults: a prospective gender-sensitive study of the Canadian longitudinal study on aging (CLSA)
Bibliographic record
Abstract
Abstract Background Close social ties are known to increase survival, reduce chronic diseases, and promote healthful eating. Little research has explored whether adverse changes in these relationships lead to less healthful eating in older adults, with attention to gender differences. Methods Prospective study using 3 waves of the Canadian Longitudinal Study on Aging (CLSA) in a sample of middle-age and older adults (45–85 y) reporting daily intake of fruit or vegetable (F/V) intake (at least one time per day) at baseline using dietary data collected by CLSA’s Short Diet Questionnaire. We used multivariable multilevel logistic regression with interaction terms (social tie x gender) to determine whether adverse changes in close social ties (marital status and living arrangement) between baseline (2011–2015) and follow-up 1 (2015–2018) led to developing less healthful eating measured by non-daily intake of F/V at follow-up 2 (2018–2021) (n = 15,672); models adjusted for biological, behavioural, socioeconomic, and socio-political confounders. Results Distinct transitions by gender precipitated a change from daily F/V intake (healthful eating) to less frequent intakes (unhealthful eating). Compared to women remaining partnered, women remaining non-partnered over 3 years had 21% higher odds of reducing healthful intake of vegetables at 6-year follow-up (OR 1.21 [95% CI: 1.07, 1.38]). Becoming divorced increased the odds of reducing healthful intake of fruits among women (1.76 [1.16, 2.66]) compared to referent. Women remaining lone-living were less likely to reduce healthful fruit intake (0.86 [0.74, 0.99]), compared to remaining co-living. Compared to men remaining partnered, men who became divorced or widowed had 91% greater odds of reducing healthful vegetable intake (1.91 [1.25, 2.92] and 1.91 [1.17, 3.13], respectively). Men who remained non-partnered or became widowed were also more likely to reduce healthful fruit intake (1.20 [1.03, 1.41] and 1.99 [1.26, 3.15], respectively), compared to referent. Finally, men who became lone-living and co-living were more likely to reduce healthful intakes of vegetables (1.42 [1.06, 1.91] and 1.55 [1.04, 2.32]) and fruits (1.48 [1.11, 1.96] and 1.48 [1.00, 2.18]), compared to men remaining co-living. Conclusions Findings showed that adverse changes in close social ties led to the development of less healthful eating among aging adults in Canada, and these prospective associations appeared to be gendered. Public health and nutrition interventions should consider the social context as a risk factor to address gender disparities in food intake in the aging population.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 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".