Parental Support and the Built Environment: A 4-Way Decomposition Analysis of Children’s Physical Activity
Bibliographic record
Abstract
Context Individual, social, and built environments interact to shape physical activity (PA), with responses to environmental cues often differing by gender. Such cross-level interactions are widely acknowledged, yet rarely reported. Light physical activity (LPA) is infrequently studied, yet may be particularly sensitive to such influences. Objective To estimate the gender-specific average exposure effects of built environment (BE) features on minutes of LPA in children, exploring the potential contribution of social support (SS) as both moderator and mediator. Methods Data were from the QUALITY cohort, an ongoing investigation of the natural history of obesity in 630 Quebec families. A prospective analysis was undertaken using data collected in 2008-2010. BE features (pedestrian aids, traffic calming features, neighborhood disorder, park frequency) were measured using audits and a GIS, prior to children’s clinical visit; all other measures were collected during or shortly after their clinical visit. PA was measured using accelerometers. SS was measured using the Sallis Parental Scale. VanderWeele’s 4-way decomposition analysis method was performed on each exposure. Sex-specific models controlled for age, income, parental education, and MVPA. Results There were 204 girls and 250 boys aged 11 years on average. Boys and girls accumulated 361 (SD: 62) and 348 (SD: 58) minutes of LPA on average, respectively. Estimated total average effects of the 4 built environment features on LPA ranged from 3 to 11 minutes in boys, and -7 to -2.7 minutes in girls. In 4-way decomposition, little of the total effect was due to mediated interaction or pure mediation. SS emerged as an effect modifier of most associations between BE features and LPA. When isolating the controlled direct effect, distinct patterns emerged. In the presence of SS, all BE features were positively associated with LPA in girls, while only park frequency and traffic calming features were positively associated with LPA in boys. In contrast, in the absence of SS, apparently favourable BE features were only weakly and often negatively associated with LPA in boys and girls. Conclusions In our population, the total average effect of the BE on LPA was small, and negative in girls. Although there was little evidence of a mediating role for SS, it emerged as a strong and consistent moderator. Overall, this approach could be applied in a variety of contexts to explore mediating and moderating roles.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".