Association between meeting 24‐h movement guidelines and academic performance in a sample of 67,281 Chinese children and adolescents
Bibliographic record
Abstract
Abstract This study aimed to explore the association between meeting 24‐h movement guidelines and academic performance among Chinese children and adolescents. Cross‐sectional data on 67,281 Chinese children and adolescents were used for the analyses. Adherence to 24‐h movement guidelines and academic performance (i.e., grades in Chinese, Math, and English), as well as sociodemographic information, were measured using a self‐reported questionnaire. 24‐h movement guidelines recommend at least 60 min/day of moderate to vigorous physical activity (MVPA), no more than 2 h/day of recreational screen time (ST), and 9–11 h/night of sleep for ages 11–13 years or 8–10 h/night for ages 14–17 years. Multilevel generalized linear models were used to explore the associations between 24‐h movement guidelines and academic performance. Results indicated that compared to not meeting any of the three 24‐h movement guidelines, participants meeting one or more guidelines were more likely to report better academic performance in Chinese, Math, and English. Meeting all the three guidelines was associated with better academic performance in Chinese (odds ratio [OR] = 1.56), Math (OR = 1.51), and English (OR = 1.73). Additionally, meeting the physical activity (PA) guidelines only was associated with better academic performance in Chinese; meeting only the ST guidelines, both ST and sleep guidelines, and both ST and PA guidelines were associated with better academic performance in Chinese, Math, and English. Subgroup analyses indicated that the associations between 24‐h movement guidelines and academic performance varied across grade groups and course subjects. As such, in general, adherence to 24‐h movement guidelines was related to better self‐reported academic performance. Healthy movement behaviors should be promoted for health and academic achievement in Chinese children and adolescents.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".