Assessing the health-related outcomes and correlates of active transportation in children and youth
Bibliographic record
Abstract
Active school transport (AST; e.g., the use of nonmotorized modes such as walking and cycling to travel to/from school) is an inexpensive, accessible and environmentally friendly source of physical activity (PA). This dissertation addresses 2 overarching objectives: (i) to measure the relationships of AST with PA and health-related outcomes; and (ii) to examine the correlates of AST immediately before and after the transition from primary to secondary school (the “school transition”). First, a systematic review revealed increasing evidence showing that AST is associated with greater daily PA levels, and that cycling to/from school is associated with higher cardiovascular fitness. Cycling for transportation (not only for school trips) was also associated with lower values for total cholesterol and total cholesterol/high-density lipoprotein-cholesterol ratio in the nationally representative 2007–2009 Canadian Health Measures Survey. Moreover, the present dissertation provides preliminary evidence suggesting that AST may help attenuate the decline in PA across the school transition. However, the relationship between AST and body composition indicators remains unclear. With respect to the correlates of AST, distance was the strongest barrier to AST at both time points, but several road safety concerns and the perception of having too much stuff to carry were also associated with engagement in motorized travel. At follow-up, AST was more common in children whose parents owned less than 2 cars. In contrast, children were more likely to engage in AST if their parents reported that they chose to live in their current neighbourhood so that their children could walk or bike to school. The associations of neighbourhood walkability (as measured with the Walk Score application ( www.walkscore.com )) with AST and PA were generally stronger after the school transition. While AST may improve health among children and youth, an ecological approach targeting multiple levels of influence will likely be needed to alleviate current barriers to AST.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".