Talking the talk, walking the walk: examining the effect of neighbourhood walkability and social connectedness on physical activity
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
BACKGROUND: Few studies have considered the joint effects of social and physical environments on physical activity (PA). The primary purpose of this study was to examine the compounding effects of neighbourhood walkability and social connectedness on PA. METHODS: Data were collected from adults (n = 380) in Waterloo, Ontario, Canada. Perceptions of neighbourhood social connectedness and walkability were measured via survey. Minutes of neighbourhood PA for recreation and transportation were captured with a detailed 7-day log booklet. Four groups were created (e.g. high walkability/low social connectedness) and two factorial ANOVAs examined group differences in minutes of recreational and transport-related PA. RESULTS: There were significant differences across the four walkability/social connectedness groups for both recreational (F = 11.36, P < 0.01) and transport-related PA (F = 8.12, P < 0.01). Participants perceiving both high walkability and social connectedness displayed the greatest levels of both recreational (130.6 min) and transport-related PA (24.5 min). The high walkability/low social connectedness group had greater transport-related PA than the two low walkability groups, while the high social connectedness/low walkability group had greater recreational PA than the two low social connectedness groups. CONCLUSIONS: These findings underscore the relationship between physical and social dimensions of urban form and their association with health behaviours. PA promotion efforts should take into account both physical (e.g. land-use planning) and social (e.g. walking group) environments.
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 | 0.020 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 it