Evidence map›Paper›PMID 40399831›Full record

ArticleBMC public health2025

Associations of sleep, sedentary behavior, and physical activity during out-of-school time and the risk of overweight and obesity in children and adolescents: a dose-response and isotemporal substitution analysis.

Zekai Chen, Peijie Chen, Lin Zhu

Abstract read
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Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Zekai ChenSchool of Sport and Health, Guangzhou Sport University, Guangzhou, 510500, China.
Peijie ChenSchool of Exercise and Health, Shanghai University of Sport, Shanghai, 200438, China. chenpeijie@sus.edu.cn.
Lin ZhuSchool of Sport and Health, Guangzhou Sport University, Guangzhou, 510500, China. 11251@gzsport.edu.cn.

Funding

National Office for Philosophy and Social Sciences 23ATY007
6 · The paper itself

Abstract

backgroundFor students, sleep, sedentary behavior (SB), and physical activity (PA) all have a direct impact on overweight and obesity. However, out-of-school time SB, PA, and sleep have not been adequately studied for their effects on overweight and obesity. We aim to explore the correlations among PA, SB, sleep duration, and the likelihood of excess body weight in youth during out-of-school hours, focusing on dose-response relationships and isotemporal substitution effects.

methodsThis study conducted a cross-sectional analysis by employing data obtained from the China Health and Nutrition Survey, spanning from 2004 to 2015. Restricted cubic spline and isotemporal substitution model were used to assess the corresponding relationships. The weighted quantile sum regression was used to study how different behaviors contribute to the risk of excess body weight.

resultsThere are linear dose-response relationships between sleep, SB, and moderate-to-vigorous physical activity (MVPA) during out-of-school hours and the risk of overweight and obesity in children and adolescents (all P for nonlinear > 0.05). Furthermore, screen-based SB shows a non-linear dose-response association with overweight/obesity. (P for nonlinear = 0.038). Theoretically, replacing 10 min of SB with an equal amount of sleep and PA could reduce the risk of overweight and obesity by 2.3-4.4%. Considering sleep, MVPA, and LPA during out-of-school time together, sleep contributed the most to overweight and obesity(weight = 0.6363).

conclusionsDuring out-of-school time, SB demonstrated a cross-sectional dose-response association with a heightened likelihood of overweight and obesity in childhood. Conversely, sleep and MVPA displayed a contrasting dose-response association with overweight and obesity risk when compared to SB. Substituting SB with sleep or PA might potentially mitigate the risk of overweight and obesity.

Indexed as

ExerciseOverweightPediatric ObesitySedentary BehaviorSleepAdolescentChildChinaCross-Sectional StudiesFemaleHumansMaleNutrition SurveysRisk FactorsChildren and adolescentDose-responseIsotemporal substitutionObesityOut-of-school timePhysical activitySedentary behaviorSleep

Identifiers

PMID40399831
PMCPMC12093664

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.