Longitudinal association between the social context of physical activity and moderate-to-vigorous physical activity
Bibliographic record
Abstract
Background: Co-participating in physical activity (PA) with others is associated with higher levels of PA in youth. However, PA can occur in several social contexts and few researchers have longitudinally compared associations of different social contexts with moderate-to-vigorous physical activity (MVPA) or whether having many people available to participate in PA with is associated with greater MVPA. We examined whether changes in different social contexts of PA and variety of PA companions are associated with changes in MVPA across elementary/middle school (Grades 5-8) and secondary school (Grades 8-11). Methods: Youth (N=938) completed questionnaires tri-annually from Grades 5-11 on weekly frequency of PA participation in five social contexts (i.e., with teammates, siblings, friends, parents/grandparents, or alone) and number of days/week meeting recommended levels of MVPA (i.e., ?60 minutes/day). Unstandardized path coefficients (B) within piecewise latent growth models are interpreted as change in MVPA for every one unit change in the social context of PA (multivariate model) or variety of PA companions (univariate model). Results: Declines in variety of PA companions was associated with decreases in days/week meeting MVPA recommendations in elementary/middle (B=1.53, SE=0.60, p
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.002 | 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".