Evidence map›Paper›PMID 41668015›Full record

ArticleBMC public health2026

Associations between 24-h movement behaviors and optimal mental health of Chinese university students: a compositional data analysis.

Chenlin Li, Yanping Qiu, Nan Zheng, Yuwei Liu, Xinglong Yang, Lijuan Wang

Abstract read
In one paragraph

Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

2 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Chenlin LiSchool of Physical Education, Shanghai University of Sport, Shanghai, China.
Yanping QiuSchool of Physical Education, Shanghai University of Sport, Shanghai, China.
Nan ZhengSchool of Physical Education, Shanghai University of Sport, Shanghai, China.
Yuwei LiuSchool of Physical Education, Shanghai University of Sport, Shanghai, China.
Xinglong YangWanchun School, Wenjiang District, Chengdu, China.
Lijuan WangSchool of Physical Education, Shanghai University of Sport, Shanghai, China. wlj711@aliyun.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis cross-sectional study aimed to examine the associations between the 24-h movement behaviors and mental health among university students in China, and to determine the optimal behavioral balance based on the top 5% of model-predicted mental health outcomes using compositional data analysis.

methodsA total of 6,084 university students aged 17–24 years in Southwest China self-reported their daily durations of moderate-to-vigorous-intensity physical activity (MVPA), light-intensity physical activity (LPA), sedentary behavior (SED), and sleep (SLP). They were stratified by gender and then randomly and equally assigned to the “recommendation” group and the “validation” group. Using compositional data analysis, time-use compositions (MVPA, LPA, SED, SLP) were transformed into isometric log-ratios (with quadratic terms as needed) and subsequently used in regression models to predict the three mental health outcomes. All possible combinations of motion components were examined to determine the combination with the highest correlation (top 5%) for each outcome.

resultsThrough research and analysis of the recommendation groups, the optimal combination of average (range) time usage is determined as follows: for males, MVPA 92 (60–110) min/day, LPA 361 (310–400) min/day, SED 372 (350–480) min/day, SLP 614 (530–680) min/day; for females, MVPA 58 (40–90) min/day, LPA 290 (180–390) min/day, SED 445 min (400–560), SLP 665 (580–740) min/day. The recommended durations served as benchmarks for the validation group. Participants who met the optimal 24-h movement behavior time showed significantly lower depression (males: β = –1.290, P < 0.05; females: β = –1.040, P < 0.05), anxiety (males: β = –1.350, P < 0.05; females: β = –1.760, P < 0.001), and stress (males: β = –1.280, P < 0.05; females: β = –1.340, P < 0.05) compared to those who did not meet the criteria. Only 14.4% of males and 8.9% of females in the validation sample simultaneously met the recommended times for all four movement behaviors.

conclusionThe optimal 24-h movement behavior time differs between men and women. Males tend to require a longer optimal MVPA duration than females, while females require a longer optimal SLP duration than males. The findings provide valuable reference for developing 24-h movement guidelines and promoting healthy and balanced lifestyles among university students.

Indexed as

ExerciseMental HealthStudentsAdolescentChinaCross-Sectional StudiesFemaleHumansMaleSedentary BehaviorSleepUniversitiesYoung Adult24-h movement behaviorCompositional data analysisMental healthTime-useUniversity students

Identifiers

PMID41668015
PMCPMC12980977

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LicenceCC BY-NC-ND
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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.