Evidence map›Paper›PMID 42052170›Full record

ArticlePeerJ2026

Association between 24-hour movement behaviors and the frequency of colds in Chinese middle school students: a compositional and isotemporal substitution analysis.

Huanmi Nie, Ran Liu, Wei Xiang, Lin Zhu, Jinkun Li, Junyu Shen

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Article in PeerJ, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Huanmi Nie *School of Physical Education and Sports, Central China Normal University, Wuhan, Hubei, China.
Ran Liu *School of Physical Education, Yan'an University, Yanan, Shaanxi, China.
Wei XiangSchool of Physical Education and Sports, Central China Normal University, Wuhan, Hubei, China.
Lin ZhuSchool of Physical Education and Sports, Central China Normal University, Wuhan, Hubei, China.
Jinkun LiSchool of Physical Education and Sports, Central China Normal University, Wuhan, Hubei, China.
Junyu ShenSchool of Physical Education and Sports, Central China Normal University, Wuhan, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Physical activity (PA) exerts a significant impact on global health and has been associated with a reduced risk of common cold. This study aims to examine the correlation between PA and the frequency of colds among middle school students in China. Methods: A cross-sectional study was conducted among 356 middle school students aged 12-13 in Wuhan, Hubei Province, China. The 24-hour movement behaviors were measured using ActiGraph wGT3X-BT accelerometer, and participants reported the number of the frequency of cold s over the past year. Compositional linear regression and isotemporal substitution models were employed to analyze the association between time allocation to 24-hour movement behaviors and the frequency of colds, and to predict changes in frequency of colds following time reallocation among these behaviors. Results: (1) The time spent in moderate-to-vigorous physical activity (MVPA) was the most stable component of 24-hour movement behaviors among middle school students. When activity patterns changed, the highest probability of time reallocation occurred with light physical activity (LPA). (2) A significant association was observed between 24-hour movement behaviors and the frequency of colds among middle school students. Specifically, the proportion of MVPA time was negatively correlated with the frequency of colds among middle school students. The proportion of time spent in sleep (SP) was positively associated with the frequency of colds, No significant associations were observed between time allocation in sedentary behavior (SB) or light physical activity (LPA) and the frequency of colds. (3) The 15-minute isotemporal substitution model predicted significant reductions in the frequency of colds when replacing both sedentary behavior (SB) and sleep (SP) with MVPA. Conversely, when MVPA was replaced by either SB or SP, the frequency of colds increased significantly. Notably, the substitution of SP with MVPA demonstrated the most substantial effect in reducing the frequency of colds. (4) The dose-response relationship (ranging from -30 to +30 minutes) revealed asymmetric effects on the frequency of colds when mutually substituting MVPA with either SB or SP. Conclusion: To reduce the frequency of colds among middle school students in the future, educators and parents should focus on the overall framework of 24-hour movement behaviors, increasing MVPA and reducing SB are effective strategies to achieve this goal.

Indexed as

ExerciseStudentsAccelerometryAdolescentChildChinaCross-Sectional StudiesEast Asian PeopleFemaleHumansMaleTime Factors24-hour movement behaviorsCompositional dataFrequency of coldsIsotemporal substitution modelMiddle school students

Identifiers

PMID42052170
PMCPMC13116403

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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.