Differences in adolescents' physical activity from school-travel between urban and suburban neighbourhoods in Metro Vancouver, Canada
Bibliographic record
Abstract
OBJECTIVE: To investigate differences in moderate-to-vigorous physical activity (MVPA) from school-travel between adolescents in urban and suburban neighbourhoods and to describe its relative contribution to MVPA on school days. METHODS: We measured 243 adolescents (51% male, grades 8-10) from Vancouver's walkable downtown core and its largely car-dependent suburb Surrey (fall 2011, 2013). We estimated mean school-travel MVPA from accelerometry (hour before/after school on ≥ 2 days; n = 110, 39% male) and compared school-travel MVPA by neighbourhood type and school-travel mode. The influence of mean school-travel MVPA on mean school-day MVPA (≥ 600 min valid wear time on ≥ 2 days) was examined by linear regression. RESULTS: Over half of students used active modes (urban: 63%, suburban: 53%). Those using active travel and living in the urban neighbourhood obtained the most school-travel MVPA (22.3 ± 8.0 min). Urban passive travellers used public transit and obtained more school-travel MVPA than suburban students (16.9 ± 6.2 vs. 8.0 ± 5.3, p < 0.001), who were primarily driven. Regardless of mode or neighbourhood type, over one-third of school-day MVPA was explained by school-travel MVPA (R (2) = 0.38, p < 0.001). CONCLUSION: Urban dwelling may facilitate greater school-travel MVPA in adolescents. School-travel MVPA is an important contributor to adolescents' school-day MVPA. Where feasible, physically active options for school-travel should be promoted, including public transit.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".