The Impact of an After-School Physical Activity Program on Children’s Physical Activity and Well-Being during the COVID-19 Pandemic: A Mixed-Methods Evaluation Study
Why this work is in the frame
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Bibliographic record
Abstract
Introduction: This study evaluated the impact of the Build Our Kids’ Success (BOKS) after-school program on children’s physical activity (PA) and well-being during the COVID-19 pandemic. Methods: Program leaders, children, and their parents were recruited from after-school programs in Nova Scotia, Canada, that delivered BOKS programming in Fall 2020. After participating, Grade 4–6 children (n = 14) completed the Physical Literacy Assessment for Youth Self (PLAYself), Physical Activity Questionnaire for Older Children (PAQ-C), the Physical Activity Enjoyment Scale (PACES), and 5 National Institutes of Health (NIH) Patient-Reported Outcomes Measures Information System (PROMIS) scales. Children (n = 7), parents (n = 5), and program leaders (n = 3) completed interviews, which were analyzed for themes inductively. Results: The average PAQ-C score was 2.70 ± 0.48, PLAYself was 68.23 ± 13.12, and PACES was 4.22 ± 0.59 (mean ± SD). NIH PROMIS scores were below standard means (cognitive function, family relationships) or within normal limits (peer relationships, positive affect, and life satisfaction). A thematic analysis of interviews revealed that children’s PA levels were impacted by the pandemic and that BOKS positively impacted children’s physical well-being and integrated well with school-based activities. Conclusions: Participation in BOKS provided an overall positive experience and may have mitigated COVID-19-related declines in PA in well-being. The results of this evaluation can inform future physically-active after-school programming.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it