Physical Activity, Overweight and Obesity Levels of Columbian Food Bank Users in London, Ontario
Bibliographic record
Abstract
Latin American immigrants have shown poor acculturation within the United States, often struggling with lower socioeconomic status (SES), physical inactivity, obesity, and poor health. Limited research exists on these topics within the Latin-Canadian community. PURPOSE: To provide some preliminary understanding of the under-researched Latin-Canadian community by investigating the SES, physical activity, and weight status in newly immigrated Columbians to London Ontario Canada. METHODS: Face-to-face interviews were conducted on a convenience sample of 77 adult Columbian immigrant food bank users (London, Ontario). Physical activity levels were gauged using the International Physical Activity Questionnaire, and self-report Body Mass Index and sociodemographic data were collected. RESULTS: 47% of respondents had a university education, and 97% received social support. 61% met recommended levels of physical activity. Males averaged 198.3 ± 349.4 minutes per week of vigorous activity whereas females averaged 68.9 ± 182.0 minutes per week (p = 0.042). Males had a higher overweight status (BMI>25) than females (63.9% versus 39.0%, respectively; p=0.025). 73% of respondents reported being less active than before coming to Canada. CONCLUSION: Although not worrisome when compared to the general Canadian population, the self-reported activity and body composition of the current sample are less desirable since coming to Canada. The SES status of participants was much less desirable. This pilot study provides unique insights into the healthy immigrant effect. Often leaving professional jobs from their original country, many now must rely on charitable food assistance programs to help feed their families. Development of community initiated physical activity programs would be beneficial in this at-risk population group.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".