The effect of an after school physical activity program on children's cognitive, social, and emotional health during the COVID-19 pandemic
Bibliographic record
Abstract
Background: Children’s physical activity participation declined during the COVID-19 pandemic and these changes could lead to longer-term impacts on children's cognitive, social, and emotional health. Purpose: To determine parents’ perceptions of cognitive function, peer and family relationships, life satisfaction, physical activity, affect, and global health, among their children who participated in the Build Our Kids’ Success (BOKS) after school physical activity program from October to December 2020. Methods: Parents of children participating in the BOKS program at elementary schools in Nova Scotia, Canada were recruited. At baseline, 159 parents completed the National Institutes of Health (NIH) Patient-Reported Outcomes Measures Information System (PROMIS) Parent Proxy questionnaire, and 75 parents completed the measures at follow-up. Independent t-tests were used to determine if there were differences between pre and post Parent Proxy Questionnaire data. Results: All NIH PROMIS outcome variables at baseline and follow-up were within normal limits (Adjusted T-Scores: 46.67±7.15 to 50.04±7.13). There were no significant differences in life satisfaction (t(188) = -1.05, p=.30), family relationships (t(189) = 0.31, p=.76), cognitive function (t(199) = -1.16, p=.25), peer relationships (t(192) = -1.86, p=.06), positive affect (t(195) = 0.25, p=.81), or global health (t(216) = -0.43, p=.67) from baseline to follow-up. Conclusions: Parent Proxy questionnaires suggested that the BOKS program had a protective effect on children’s cognitive, social and emotional health during the second wave of the COVID-19 pandemic. Funding: The Public Health Agency of Canada in partnership with Reebok Canada Fitness Foundation.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".