Effects of a 7-week active breaks intervention program on physical literacy and body mass index
Bibliographic record
Abstract
Introduction Physical literacy (PL) emerges as a highly effective resource for creating lasting physical activity habits at a time when physical inactivity has become one of the main risk factors in our population. Thus, active breaks (AB) could be an ideal option for increasing physical activity time in schoolchildren. Methods A cross-sectional quasi-experimental study was conducted, involving 89 participants aged 8-12 years from Extremadura. The Canadian assessment of physical literacy (CAPL-2) was administered to assess the participants' physical literacy level. The BMI was also measured. Results Higher scores were obtained in all domains and subdomains of the CAPL in the experimental group. Significant differences were found both in total physical literacy score (p < 0.001) and in all domains and subdomains, except for the subdomains self-reported question, intrinsic motivation and knowledge and understanding domain (p = 0.344). Conclusion The results of the study support the positive effects of an AB program of PL and its domains. The development of active break programs could help to increase the PL level of schoolchildren.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".