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Record W4413003029 · doi:10.1186/s12889-025-23948-x

Correlates of physical activity and sedentary behavior in children and adolescents during school recess: a systematic review and meta-analysis

2025· review· en· W4413003029 on OpenAlexaff
Kang Zhu, Xinyi Yin, Guoyang Qin, Jingjing Jia, Zhenwen Xie, Yang Liu

Bibliographic record

VenueBMC Public Health · 2025
Typereview
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsChild, Adolescent and Family Mental Health
FundersNational Key Research and Development Program of China
KeywordsBiostatisticsMedicineMeta-analysisPhysical activitySedentary behaviorPublic healthEpidemiologyGerontologyPhysical therapyInternal medicinePathology

Abstract

fetched live from OpenAlex

BACKGROUND: Physical activity (PA) and sedentary behavior (SED) during school recess in children and adolescents are associated with numerous factors, such as age, gender, and adult engagement. Identifying these correlates can inform the design of recess programs and interventions in schools, while also providing evidence to support the establishment of future recess-related policies. Therefore, this study aimed to identify the correlates of PA and SED in children and adolescents during school recess. METHODS: A systematic search was conducted for studies published in PubMed, EBSCO, and Web of Science from May 2011 to December 2024. We conducted three rounds of literature screening, including removing duplicates, screening titles and abstracts, and full-text screening. This study followed the PRISMA guidelines. The risk of bias was assessed using the Cochrane risk of bias tool. The effect of interventions on PA and SED was assessed by random effects meta-analysis. Identified factors were categorized using the social ecological model. RESULTS: 72 studies were included in this systematic review. Multiple factors, including age, gender, Body Mass Index (BMI), family economic status, length and frequency of school recess, structured recess, provision of exercise equipment, and playground markings, have been identified as being positively associated with PA among children and adolescents during school recess. Gender factors are also associated with SED. The meta-analysis included 6 studies. Overall results indicated that interventions implemented during school recess had an impact on Light PA (SMD = 0.53; 95% CI = 0.14, 0.93; I²=83%), Moderate PA (SMD = 0.38; 95% CI = 0.16, 0.60; I²=25%), Vigorous PA (SMD = 0.26; 95% CI = 0.09, 0.44; I²=0%), and Moderate-to-Vigorous PA (SMD = 0.49; 95% CI = 0.09, 0.88; I²=86%) in children and adolescents. However, there was no statistically significant effect of the intervention on SED (SMD=-0.54; 95% CI=-1.15, -0.06; I²=91%) (P > 0.05). CONCLUSION: This review identified several individual, social, physical environment, and organizational and policy level factors that correlate with PA among children and adolescents during school recess. However, it found a correlation only between gender at the individual level and SED. Therefore, future research should focus more on the relationship between social, physical environment, and organizational and policy level factors and SED among children and adolescents during school recess.

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)0.016
metaresearch head score (Gemma)0.047
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.020
Threshold uncertainty score0.086

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.047
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0200.039
Bibliometrics0.0100.010
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0030.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.061
GPT teacher head0.379
Teacher spread0.319 · 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 designMeta-analysis
Domainnot available
GenreReview

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

Citations4
Published2025
Admission routes1
Has abstractyes

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