Physical activity and immigrant status: evidence from the Canadian Community Health Survey.
Bibliographic record
Abstract
BACKGROUND: The immigrant population in Canada is diverse and growing, yet little is known about their physical activity behaviour and how it changes as they adapt to a Canadian lifestyle. This study extends the surveillance of physical activity in Canada to include the influence of time since immigration within and between ethnic groups. METHODS: Pooled data from cycles 1.1 (2000/01) and 2.1 (2003) of the cross-sectional Canadian Community Health Survey (ages 20-64 y; N = 171,513) were used for this study. Weighted prevalences of self-reported leisure-time physical activity (> or = 3 kcal x kg(-1) x day(-1) (kkd)) were calculated, and unadjusted and adjusted (age, income, education, BMI) multiple logistic regression models were used to quantify the odds of being physically active (PA) (> or = 3 kkd) by time since immigration (recent immigrant < or = 10 yrs, immigrant >10 yrs, non-immigrant) within and between ethnic groups (White referent group). RESULTS: The prevalence of recent immigrants (< or = 10 yrs) being PA (> or = 3 kkd) by ethnicity was: White (21%), Other (19%), Black (19%), Latin American (17%), West Asian/Arab (16%), East/Southeast Asian (14%), South Asian (11%). Recent immigrant Black men and White women had the highest prevalence of being PA (M = 27%, F = 18%) while South Asian men and women had the lowest prevalence (M = 14%, F = 9%). There is a gradient in the prevalence of being PA with recent immigrants (16%) < immigrants (20%) < non-immigrants (24%). Ethnic differences in the prevalence of being PA by time since immigration show similar patterns for men and women. Controlling for age, income, education and BMI had only small effects on the odds of being physical active across ethnicities and immigrant status. CONCLUSION: These results suggest that physical activity levels vary according to immigrant status and self-ascribed ethnicity in Canadian adults. Strategies to promote physical activity and prevent physical inactivity should consider both ethnicity and time since immigration.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".