The effect of physical-activity intervention on children’s health-related quality of life
Bibliographic record
Abstract
Aims: We investigated the effect of a school-based physical-activity intervention on children’s health-related quality of life (HRQoL) and the potential influence of moderate to vigorous physical activity (MVPA). Methods: A randomised, controlled trial (Active School) involving fifth-grade children was conducted during the 2014/15 school year. The sample included 435 children (10–11 years old) at five intervention schools and four control schools. The weekly interventions concerned two 45 min of physically active lessons, five 10 min of physically active breaks and five 10 min of physically active homework. The children’s HRQoL was measured using KIDSCREEN-27 and a self-report questionnaire, while physical activity was measured using accelerometers. Results: The results of multilevel analysis showed a significant effect on psychological wellbeing ( p = 0.005), social support and peers ( p = 0.005) and school environment ( p = 0.013). No gender differences were observed. Children’s MVPA did not influence their KIDSCREEN-27 score. Conclusions: The school-based physical-activity intervention (Active School) shows positive effects on children’s self-reported psychological wellbeing, social support and peers, and school environment.
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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) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".