Moderators of Parents’ Perceptions of the Neighborhood Environment and Children’s Physical Activity, Time Outside, and Screen Time
Bibliographic record
Abstract
BACKGROUND: Increased physical inactivity and sedentary behavior among children are a global health concern. PURPOSE: Examine associations between parents' perceived neighborhood environment and children's physical activity, outside time, and screen time, and whether these associations were moderated by age and socioeconomic position (SEP). METHODS: Parents (N = 1212) completed a survey during the Recording and EValuating Activity in a Modified Park study. The neighborhood perceptions (social and physical environment), children's age, physical activity, outside time, and screen time were parent-reported. The SEP was derived from the Index of Relative Socio-economic Advantage and Disadvantage. Multiple linear and logistic regressions were performed with age and SEP interactions. RESULTS: Favorable perceptions of opportunities to be active and exercise were associated with a higher likelihood of meeting physical activity guidelines. Favorable perceptions of neighborhood ease for walking and a larger social network were also associated with more outdoor time. Moderation analyses revealed that favorable perceptions of several physical and social neighborhood environment features were associated with a higher likelihood of meeting physical activity guidelines in the high-SEP group and were negatively associated with preschoolers' weekday screen time. CONCLUSION: Future neighborhood environment initiatives and interventions aiming to promote active living communities should consider differences in age and SEP.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".