Popularity and Friendships and Their Relationship to Physical Activity Before and After Transition to a Higher School Grade
Bibliographic record
Abstract
Background This study investigated the relationships between children’s friendship ties and their physical activity (PA) both before and after their transition to a new school year. Methods In 2011–2012, children in grades 5–8 attending a Canadian urban middle-school completed web-based health and friendship surveys two times before (“pre-transition”) and three times after (“post-transition”) they moved up in school grade. Cross-sectional associations between an average daily frequency of ≥60 min/day of moderate-to-vigorous intensity PA (MVPA) and characteristics of children’s friendships were estimated for pre-transition (n = 191) and post-transition (n = 255) data. Sociodemographic-adjusted linear regression (β) estimated associations between a child’s MVPA and friendship characteristics. Results We found positive associations between a child’s MVPA and the average MVPA of their friends at post-transition only (β = 0.61, 95% CI 0.10 to 1.13) and the number of sent friendships at pre-transition (β = 0.03, 95% CI 0.01 to 0.05) and post-transition (β = 0.02, 95% CI 0.01 to 0.04). A statistically significant interaction between popularity and friends’ average PA at pre-transition was also found. Conclusions The PA of friends and the number of school friends that a child identified are positively associated with MVPA. The estimated associations between MVPA and aspects of children’s friendships are similar for boys and girls.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".