Are people who use active modes of transportation more physically active? An overview of reviews across the life course
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Regular physical activity prevents several non-communicable chronic conditions and premature mortality. The benefits of physical activity can be achieved through active transport, which refers to non-motorised/active means (e.g. walking, cycling, rollerblading) to move from one place to another. Active transport can be integrated into daily routines such as commuting to and from school and work. We undertook an overview of reviews to examine the association between active transport and physical activity across age groups. We aimed to provide a critical appraisal of research to date, and to identify research gaps that need to be addressed to advance the field. Eleven systematic reviews were included. Across children, youth and adults, active transport (mainly to school and work) was positively associated with physical activity and contributed approximately 5–45 additional minutes per day. The certainty of the evidence ranged from very low to moderate and was highest among studies that included both children and youth. There does not appear to be any clear differences by sex, measurement method for active transport or physical activity or review quality; however, some reviews noted that age and sex might moderate the association. Future research is needed to better understand the association among preschool-aged children and older adults, by sex and gender, in different socioeconomic and ethnic groups, and across the urban-rural spectrum. The field would benefit from more longitudinal and experimental research using device- and location-based measures to establish causality and separating location of destinations and mode of active transport (e.g. walking separate from cycling). Overall, evidence suggests that active transport is an important means to achieve daily physical activity recommendations.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 it