Parents’ perceptions of their children’s physical activity during the COVID-19 pandemic
Bibliographic record
Abstract
BACKGROUND: COVID-19 has drastically changed the everyday lives of children, including limiting interactions with peers, loss of regularly organized activities, and closure of schools and recreational facilities. While COVID-19 protocols are in place to reduce viral transmission, they have affected children's access to physical activity opportunities. The purpose of this study was to understand how COVID-19 has affected children's engagement in physical activity and to identify strategies that can support children's return to physical activity programming in public places. METHODS: Parents of past participants in the Grade 5 ACT-i-Pass Program in London, Ontario, Canada were invited to participate in a semi-structured interview online (in November and December 2020) via Microsoft Teams. The script was comprised of questions about their child's physical activity levels (before, current, and anticipated following COVID-19), lifestyle changes due to COVID-19, and what service providers can do to assist children's return to public programming. Interviews were transcribed in Microsoft Teams, reviewed by a member of the research team, and analyzed in NVivo 12 using thematic analysis. RESULTS: Twenty-seven parents participated in an interview. Four themes and two subthemes were identified during analysis: (1) modifications to everyday life (a. activity options available and b. altered social environment), (2) safety in public spaces, (3) accessibility of activities, and (4) utilizing outdoor spaces. CONCLUSIONS: COVID-19 protocols have decreased children's physical activity levels due to the loss of their regular activities, recreational spaces, and peer support. Implementing facility and activity-specific health protocols, providing outdoor activity options, and offering a variety of activity types, times, and locations are three strategies recommended by parents to help facilitate their children's return to public recreational places. Due to the negative consequences of physical inactivity on children's health and well-being, service providers need to implement programming and safety protocols that support children's engagement in physical activity throughout the remainder of, and the years following, the COVID-19 pandemic.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".