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Record W4307054401 · doi:10.1093/pch/pxac100.006

7 Does Physical Activity Vary By Virtual or In-Person School Models in School-Aged Children?

2022· article· en· W4307054401 on OpenAlexaffabout
Emma Metivier, Maggie McCann, Kriti Kumar, Natasha Lepore, Kelcie Lahey, Hailey Barootes, Karissa Holyer, Michael Miller, Rodrick Lim

Bibliographic record

VenuePaediatrics & Child Health · 2022
Typearticle
Languageen
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsWestern University
Fundersnot available
KeywordsPandemicPhysical activityDemographicsMedicineCoronavirus disease 2019 (COVID-19)Mental healthPsychologyDemographyFamily medicinePhysical therapyPsychiatry

Abstract

fetched live from OpenAlex

Abstract Background Current recommendations for school-aged children’s physical activity include at least one hour of moderate to vigorous intensity physical activity per day. Schools play an essential role in providing access to physical activity, through both structured and unstructured activity such as physical education and recess. North American data has shown that due to restrictions placed on in-person schooling, children were not meeting recommended levels of physical activity during the first wave of the COVID-19 pandemic. Objectives The objective of this study was to understand the effect schooling models have on access to physical activity and subsequent reported changes in mental and physical health. Design/Methods An online survey was distributed to parents of school-aged children aged 4-13 in Ontario. The survey included questions regarding demographics, children’s physical activity prior to and during the first wave of the COVID-19 pandemic, and parental perceptions regarding the pandemic’s impact on mental and physical health. This study received ethics approval, was hosted on the REDCapTM platform, and distributed from February-June 2021 through a local school board, the Pediatrics section of the Ontario Medical Association, and through social media. Results A total of 361 survey participants responded. Although there was a statistically significant decrease in the overall mean number of hours of physical activity per week from prior to the COVID-19 pandemic and the first wave of the COVID-19 pandemic (mean difference = 9.34 hours, SD = 10.06, p<0.001), there was no significant difference in hours of physical activity when comparing in-person and virtual school models (p=0.892 pre-COVID-19 pandemic and p=0.146 during the first wave of the COVID-19 pandemic). There was no significant difference in parent-reported impact of either physical (p=0.724) or mental (p=0.822) health between those that were enrolled in virtual or in-person school models, and no significant difference between school model and restarting activities (p=0.078). Conclusion This survey highlights not only that parents identified a significant decrease in children’s physical activity during the pandemic but also that there was no correlation between school model and physical activity. This may be due to several organized physical activities not being re-started despite schools reopening, thus contributing to similar outcomes for children in both school models. Future research may include exploring why virtual and in-person models demonstrated no significant difference in physical activity and to conduct a qualitative analysis on methods used by parents to engage children in activity.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.293
Threshold uncertainty score0.582

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.017
GPT teacher head0.295
Teacher spread0.277 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2022
Admission routes2
Has abstractyes

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