Neighborhood Environment and Psychosocial Correlates of Adults’ Physical Activity
Bibliographic record
Abstract
BACKGROUND: There is growing interest in identifying neighborhood environment factors related to physical activity. PURPOSE: This study aimed to examine whether objective built (e.g., residential density) and perceived (e.g., aesthetics) environment factors around adults' residence are correlates of their physical activity and reported walking behavior after accounting for known psychosocial (e.g., self-efficacy, barriers to physical activity) and demographic correlates of physical activity. METHODS: Objective built environment characteristics were created through network buffers around individual participants (n = 2199) selected from neighborhoods differing on walkability characteristics and household income. Participants wore accelerometers to obtain a more objective measure of overall physical activity and self-reported on leisure and transportation-related walking, perceptions of neighborhood environment, psychosocial factors related to physical activity, and demographic factors. Census-level demographic factors were also considered. RESULTS: Retail floor area ratio, a metric combining land use mix and pedestrian design factors, was the environmental factor most related to accelerometry-measured physical activity and self-reported transportation-related walking after accounting for psychosocial and demographic factors. Street connectivity was also related to transportation-related walking, whereas perceived aesthetics was positively related to leisure walking. CONCLUSIONS: Environmental factors, particularly the availability of proximal nonresidential destinations designed for pedestrian access, were related to adults' physical activity and walking after accounting for psychosocial and demographic correlates, including reasons for residential selection.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.005 |
| Scholarly communication | 0.000 | 0.001 |
| 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".