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Record W6958366876 · doi:10.6084/m9.figshare.20799367

Supplementary Materials

2022· other· en· W6958366876 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2022
Typeother
Languageen
FieldBusiness, Management and Accounting
TopicInformation Systems and Technology Applications
Canadian institutionsnot available
Fundersnot available
KeywordsPsycINFOCINAHLPandemicMeta-analysisOddsOdds ratio

Abstract

fetched live from OpenAlex

Background: The coronavirus disease (COVID-19) pandemic has greatly affected the level of physical activity (PA). However, little is known about its effect on health outcomes. This study aimed to investigate the effect of PA on psychological and behavioral problems, sleeping patterns, and quality of life (QoL) before and during the pandemic in preschoolers (£5 years), children (6-12 years), and adolescents (13-18 years). Methods: Articles without language restrictions published from the database inception through March 16, 2022, were retrieved using the CINAHL Complete, Cochrane Library, EMBASE, Medline, PubMed, and PsycINFO databases. High-quality articles assessing the effect of PA on psychological and behavioral problems and PA, QoL, and/or sleep problems before and during the pandemic were included. Articles without data regarding PA or involving non-general populations were excluded. The PRISMA and MOOSE guidelines were followed. Data quality of the selected articles was assessed using the Newcastle-Ottawa Scale and GRADE approach. Data were pooled using a random-effects model and sensitivity analysis if heterogenicity was high (I2≥50%). The relationship between PA and psychological and behavioral problems and changes in PA, QoL, and sleeping patterns before and during the pandemic in preschoolers, children, and adolescents were investigated. A meta-analysis was conducted; odds ratios (ORs), mean differences (MD), and standardized MDs (SMDs) were calculated. Results: Thirty-four articles involving 66,857 participants were included. The results showed an overall significant protective effect between PA and psychological and/or behavioral problems (OR=0.677; 95% CI=0.630, 0.728; p-value<0.001; I2=59.79%). This relationship was also significant in the subgroup analysis of children (OR=0.690; 95% CI=0.632, 0.752; p-value<0.001; I2=58.93%) and adolescents (OR=0.650; 95% CI=0.570, 0.741; p-value<0.001; I2=60.85%); however, no data on the relationship in preschoolers were collected. In addition, the overall time spent on PA significantly decreased by 0.39 hours per day during the COVID-19 pandemic (95% CI=-–0.225, –0.548; p-value<0.001; I2=99.82%). Moreover, the results showed an overall significant decrease in QoL (SMD=–0.894, 95% CI=–1.180, –0.609, p-value<0.001, I2=96.64%). However, there was no significant difference in sleep duration during the COVID-19 pandemic (MD=0.01 hours per day, 95% CI=–0.027, 0.225; p-value=0.125; I2=98.48%). Conclusion: During the pandemic, less PA and longer screen times induced sedentary lifestyles and contributed to poor QoL and sleep quality. However, increases in PA are associated with reduced occurrences of psychological and behavioral problems. Implementing recovery plans to address the health effect of the pandemic is essential.

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)0.006
metaresearch head score (Gemma)0.064
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.180
Threshold uncertainty score0.257

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.064
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0050.006
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0030.003
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.8200.328

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 head0.021
GPT teacher head0.223
Teacher spread0.203 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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