Evidence map›Paper›PMID 38858758›Full record

ArticleBMC public health2024

Using structural equation modeling to examine correlations between health-related physical fitness and cell health among Chinese college students.

Jian Zhu, Yi Yang, Yanmin Zhao, Guoyang Qin, Xin Su

Abstract read
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Article in BMC public health, 2024. 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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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Jian ZhuPhysical Education Department, Nanjing University of Aeronautics and Astronautics, Nanjing, China.
Yi YangCollege of Physical Education, Hengxing University, Qingdao, China. hxyangyi123@163.com.
Yanmin ZhaoDepartment of Physical Education, China University of Petroleum (East China), Qingdao, China.
Guoyang QinCollege of Physical Education, Shandong Normal University, Jinan, China.
Xin SuDepartment of Physical Education, Shenzhen Polytechnic, Shenzhen, China. susuxin@szpt.edu.cn.

Funding

Higher Education Industry-University Cooperation Collaborative Education Program of the Ministry of Education 202101293065
6 · The paper itself

Abstract

introductionCollege students' physical fitness is likely to be directly related to their cells' health. However, there is a lack of literature on whether the relationship between cell health and college students' physical fitness is direct or indirect. This study used a structural equation modeling (SEM) approach to investigate the connection between cell health and college students' physical fitness.

methodsThis cross-sectional study collected data from 838 volunteers (502 males and 336 females, average age of 18.74 ± 1.5 years) who were college students from the Shandong province of China in July 2023. Initially, we obtained anthropometric measurements and conducted physical fitness tests on the students. Then, we performed Pearson correlation analysis and principal component analysis to screen variables and explore potentially influencing factors. Finally, we examined associations between the variables and determined whether there were direct or indirect influences among factors using SEM.

resultsThe results revealed a significant correlation between the cell health factor and the muscle strength factor (path coefficient = 0.97; p < 0.001) as well as the fat obesity factor (path coefficient = -0.52; p < 0.001). The cardiovascular factor exhibited a weak correlation with the cell health factor (path coefficient = 0.11; p < 0.01). Moreover, the cardiovascular factor acted as a mediating variable between the muscle strength factor and the cell health factor, with a positive correlation observed between the muscle strength factor and the cell health factor (path coefficient = 0.40; p < 0.001).

conclusionThese findings suggest that cell health is indicative of muscle strength and cardiorespiratory fitness. Our findings demonstrate that assessing the cell health of college students can be a valuable method for evaluating their overall health.

Indexed as

Latent Class AnalysisPhysical FitnessStudentsAdolescentChinaCross-Sectional StudiesFemaleHumansMaleMuscle StrengthUniversitiesYoung AdultCell healthCollege studentsHealthPhysical fitnessStructural equation model

Identifiers

PMID38858758
PMCPMC11165770

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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.