Correlates of Children’s Physical Activity: A Canadian Multisite Study
Bibliographic record
Abstract
PURPOSE: To inform future physical activity (PA) interventions among children, we investigated the correlates of PA among 8- to 12-yr-olds in three regions of Canada: Ottawa, Trois-Rivières, and Vancouver. METHODS: We recruited 1699 children (55.0% girls) in 37 schools located in urban, suburban, and rural areas that differed in socioeconomic status. Children wore a sealed SC-StepRx pedometer capable of measuring moderate- to vigorous-intensity physical activity (MVPA) for seven consecutive days. Children and one of their parents/guardians completed a questionnaire that captured multiple potential PA correlates. Publicly available data on weather and neighborhood walkability were obtained. Multiply-imputed gender-stratified linear mixed models were used to examine the correlates of daily step counts and MVPA while controlling for age, site, type of urbanization, and area-level socioeconomic status. RESULTS: Each additional hour spent outdoors was associated with higher PA in boys (+769 steps per day; +3.7 min MVPA per day) and girls (+596 steps per day; +3.5 min·d). Boys' PA declined with age (-500 steps per day; -3.7 min·d). Boys were less active if they had a long-standing injury/illness (-1862 steps per day; -3.7 min·d) or their parents reported driving to work (-835 steps per day; -4.4 min·d), were worried about traffic (-982 steps per day; -6.4 min·d), or about other people in their neighborhood (-1250 steps per day). Girls speaking neither English nor French at home were less active (-620 steps per day; -3.7 min·d). In girls, each degree Celsius increase in morning temperature was associated with 77 additional steps per day, and each kilometer increase in active school travel distance was associated with 0.5 more MVPA minutes per day. CONCLUSION: Consistent with previous studies, our results suggest that PA interventions should aim to increase outdoor time. The observed gender differences in PA correlates suggest the need for a gender-sensitized approach to PA promotion.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 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".