The relationship between household food insecurity and overweight or obesity among children and adults in Canada: a population-based, propensity score weighting analysis
Bibliographic record
Abstract
Household food insecurity is independently associated with adverse health outcomes among Canadians, but its association with overweight and obesity is poorly understood partly because of limited attention to confounding. This study assessed the relationship between food insecurity status and overweight/obesity in Canada. Cross-sectional data for individuals aged 2–64 years were drawn from the 2004 and 2015 Canadian Community Health Survey-Nutrition. Overweight/obesity was defined using body mass index calculated with measured height and weight. Food insecurity status was assessed with the 18-item Household Food Security Survey Module. The relationship was examined among preschool children ( n = 2007), girls ( n = 5512), boys ( n = 5507), women ( n = 8317), and men ( n = 7279) using propensity score weighted logistic regressions to control for confounding. Relative to their food-secure counterparts, girls in moderately food-insecure households (39.7% vs. 28.5%), boys in severely food-insecure households (54.4% vs. 35.0%), and women in moderately and severely food-insecure households (58.9% and 73.1% vs. 50.7%) had higher overweight/obesity prevalence; men in moderately food-insecure households had a lower prevalence (48.9% vs. 66.3%). With propensity score weighting, no association existed between food insecurity and overweight/obesity among preschool children, girls, boys, or men. For women, moderate (adjusted odds ratio (AOR): 1.61; 95% confidence interval (95%CI): 1.06–2.47) and severe (AOR: 2.33; 95%CI: 1.22–4.44) food insecurity was positively associated with overweight/obesity; the association was strongest for severe food insecurity and obesity (AOR: 3.38; 95%CI: 1.60–7.16). Additional research is needed to better understand the nature of the relationship among women. Problems of food insecurity and overweight/obesity among Canadian children and men should not be conflated in public health interventions.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".