24-Hour Movement Behavior and Health-Related Physical Fitness in College Students: A Compositional Data Analysis.

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Article in International journal of behavioral medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

Classification of 24-h movement behaviour patterns among university students and their relationship with physical fitness: a latent profile analysis.BMC public health · 2026
Article

4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Qiushi YangSchool of Physical Education, China University of Mining and Technology, 22116, Xuzhou, China.ORCID http://orcid.org/0009-0004-4623-0829

Junli WangSchool of Physical Education, China University of Mining and Technology, 22116, Xuzhou, China. wjl88816@163.com.ORCID http://orcid.org/0009-0003-5649-8637

Jianfei BaiSchool of Physical Education, China University of Mining and Technology, 22116, Xuzhou, China.

Funding

Social Science Foundation of Jiangsu Province 24TYB008Social Science Project of Jiangsu Provincial Education Department 2021SJZDA173the Graduate Innovation Program of China University of Mining and Technology 2023WLJCRCZL181

6 · The paper itself

Abstract

backgroundSedentary behavior and physical inactivity are primary factors contributing to college students' continued decline in health-related physical fitness (HRPF). This study aims to examine the associations between 24-h movement behavior and HRPF, and explore the dose-response relationship between the reallocation of movement behavior time and HRPF.

methodIn total, 1032 college students (649 males and 383 females) aged 19.5 years from China University of Mining and Technology were recruited to participate in the study in October 2023. The 24-h movement behavior was measured using reliable items from the 24-h Movement Behavior Questionnaire (reliability coefficients 0.68 to 0.97). HRPF was assessed using the Fitness Test Battery, which measures BMI, vital capacity, sit-and-reach, stand-long-jump, pull-up/crunches, 50-m sprint, and the 800/1000-m run. The isotemporal substitution model was applied to evaluate the health effects of different movement components.

resultsThe 24-h movement behavior significantly influenced HRPF (p < 0.01, R

conclusionIn addition to MVPA, it is important to consider the health risks associated with SSED and excessive sleep and to maintain a balanced time structure of 24-h movement behavior to promote health.

Indexed as

ExercisePhysical FitnessSedentary BehaviorStudentsAdultChinaFemaleHumansMaleUniversitiesYoung AdultCollege studentHealth-related physical fitnessSedentary behavior

Identifiers

PMID40011363

DOI10.1007/s12529-025-10360-3

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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.