Exploring the Impact of Length of Residence and Food Insecurity on Weight Status Among Canadian Immigrants
Bibliographic record
Abstract
Purpose While the individual impacts of long-term residence and food insecurity on overweight/obesity are well-documented, their combined effect on immigrants’ weight status is less understood. This study examines the interaction between length of residence and food insecurity in predicting overweight/obesity among immigrants and investigates whether this relationship is gender-specific. Design A national cross-sectional survey. Setting The 2017-2018 Canadian Community Health Survey. Subjects Immigrants aged 18 and older (N = 13 680). Measures All focal variables were self-reported. Analysis Logistic regression models were employed. Results Long-term immigrants were more likely to report overweight/obesity than their short-term counterparts (OR = 1.39; P < .001). Moreover, immigrants from food-insecure households were at a higher risk of reporting overweight/obesity (OR = 1.27; P < .05) compared to those from food-secure households. The analysis further revealed that food insecurity exacerbated the detrimental association between length of residence and overweight/obesity in men (OR = 2.63; P < .01) but not in women (OR = .66; P > .05). Conclusion The findings suggest that long-term immigrant men may be especially susceptible to the compounded chronic stressors of extended residence and food insecurity. Health professionals and policymakers should advocate for psychosocial resources to help mitigate these adverse effects and support the well-being of immigrant populations.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".