Association between daily movement behaviors and optimal physical fitness of university students: a compositional data analysis
Abstract Objective This study investigates the relationship between movement behaviors and physical fitness (PF) in university students, and based on the top 5% of model-predicted outcomes for PF to determine the optimal movement behaviors balance. Methods A total of 463 university students aged 15–...
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2025-03-01
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| Online Access: | https://doi.org/10.1186/s12889-025-22151-2 |
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| author | Jiayu Li Zhendiao Lin Mengting Zou Xin Feng Yuanyue Liu |
| author_facet | Jiayu Li Zhendiao Lin Mengting Zou Xin Feng Yuanyue Liu |
| author_sort | Jiayu Li |
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| description | Abstract Objective This study investigates the relationship between movement behaviors and physical fitness (PF) in university students, and based on the top 5% of model-predicted outcomes for PF to determine the optimal movement behaviors balance. Methods A total of 463 university students aged 15–24 years from Jinhua City wore accelerometers to measure moderate-to-vigorous physical activity (MVPA), light-intensity physical activity (LPA), and sedentary behavior (SB). Sleep (SLP) was self-reported. The body mass index (BMI), forced vital capacity (FVC), 50-meter dash, standing long jump, sit-and-reach, sit-ups (female), pull-ups (male), 800-meter run (female), and 1000-meter run (male) were used as indicators to assess the physical fitness of university students. Regression analysis was used to examine the relationship between movement behaviors and PF. All possible movement component combinations were investigated to determine the best correlation (top 5%) with each outcome. Results For males, SB (β = 5.05, p < 0.05) was significantly correlated with an increase in BMI. MVPA was significantly correlated with improvements in BMI (β = -1.75, p < 0.05), FVC (β = 494.21, p < 0.05), and endurance qualities (β = -25.77, p < 0.05). For females, MVPA was significantly correlated with improvements in BMI (β = -1.03, p < 0.05), FVC (β = 176.05, p < 0.05), speed capability (β = -0.26, p < 0.05), and endurance qualities (β = -16.38, p < 0.05). LPA was associated with improvements in endurance qualities (β = -24.10, p < 0.05). SB was significantly correlated with a decline in endurance qualities (β = 24.25, p < 0.05). The average (range) optimal combination of time use was as follows: For males, MVPA = 142 min/day, SB = 534 min/day, LPA = 295 min/day, and SLP = 469 min/day. For females, MVPA = 115 min/day, SB = 536 min/day, LPA = 306 min/day, and SLP = 482 min/day. Conclusion For both males and females, increased MVPA and reduced sedentary time were associated with improved endurance and strength, while optimal sleep duration contributed to overall fitness. These findings highlight the importance of a balanced daily movement schedule for university students. |
| format | Article |
| id | doaj-art-dd184424d9424f23b4de5b41e88a6bf4 |
| institution | OA Journals |
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| language | English |
| publishDate | 2025-03-01 |
| publisher | BMC |
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| series | BMC Public Health |
| spelling | doaj-art-dd184424d9424f23b4de5b41e88a6bf42025-08-20T01:57:40ZengBMCBMC Public Health1471-24582025-03-0125111310.1186/s12889-025-22151-2Association between daily movement behaviors and optimal physical fitness of university students: a compositional data analysisJiayu Li0Zhendiao Lin1Mengting Zou2Xin Feng3Yuanyue Liu4College of Teacher Education, Zhejiang Normal UniversityCollege of Physical Education and Health Sciences, Zhejiang Normal UniversityCollege of Physical Education and Health Sciences, Zhejiang Normal UniversitySchool of Physical Education, Wuhan University of TechnologyCollege of Teacher Education, Zhejiang Normal UniversityAbstract Objective This study investigates the relationship between movement behaviors and physical fitness (PF) in university students, and based on the top 5% of model-predicted outcomes for PF to determine the optimal movement behaviors balance. Methods A total of 463 university students aged 15–24 years from Jinhua City wore accelerometers to measure moderate-to-vigorous physical activity (MVPA), light-intensity physical activity (LPA), and sedentary behavior (SB). Sleep (SLP) was self-reported. The body mass index (BMI), forced vital capacity (FVC), 50-meter dash, standing long jump, sit-and-reach, sit-ups (female), pull-ups (male), 800-meter run (female), and 1000-meter run (male) were used as indicators to assess the physical fitness of university students. Regression analysis was used to examine the relationship between movement behaviors and PF. All possible movement component combinations were investigated to determine the best correlation (top 5%) with each outcome. Results For males, SB (β = 5.05, p < 0.05) was significantly correlated with an increase in BMI. MVPA was significantly correlated with improvements in BMI (β = -1.75, p < 0.05), FVC (β = 494.21, p < 0.05), and endurance qualities (β = -25.77, p < 0.05). For females, MVPA was significantly correlated with improvements in BMI (β = -1.03, p < 0.05), FVC (β = 176.05, p < 0.05), speed capability (β = -0.26, p < 0.05), and endurance qualities (β = -16.38, p < 0.05). LPA was associated with improvements in endurance qualities (β = -24.10, p < 0.05). SB was significantly correlated with a decline in endurance qualities (β = 24.25, p < 0.05). The average (range) optimal combination of time use was as follows: For males, MVPA = 142 min/day, SB = 534 min/day, LPA = 295 min/day, and SLP = 469 min/day. For females, MVPA = 115 min/day, SB = 536 min/day, LPA = 306 min/day, and SLP = 482 min/day. Conclusion For both males and females, increased MVPA and reduced sedentary time were associated with improved endurance and strength, while optimal sleep duration contributed to overall fitness. These findings highlight the importance of a balanced daily movement schedule for university students.https://doi.org/10.1186/s12889-025-22151-2Movement behaviorsPhysical fitnessIsotemporal substitutionCompositional data analysisStudents |
| spellingShingle | Jiayu Li Zhendiao Lin Mengting Zou Xin Feng Yuanyue Liu Association between daily movement behaviors and optimal physical fitness of university students: a compositional data analysis BMC Public Health Movement behaviors Physical fitness Isotemporal substitution Compositional data analysis Students |
| title | Association between daily movement behaviors and optimal physical fitness of university students: a compositional data analysis |
| title_full | Association between daily movement behaviors and optimal physical fitness of university students: a compositional data analysis |
| title_fullStr | Association between daily movement behaviors and optimal physical fitness of university students: a compositional data analysis |
| title_full_unstemmed | Association between daily movement behaviors and optimal physical fitness of university students: a compositional data analysis |
| title_short | Association between daily movement behaviors and optimal physical fitness of university students: a compositional data analysis |
| title_sort | association between daily movement behaviors and optimal physical fitness of university students a compositional data analysis |
| topic | Movement behaviors Physical fitness Isotemporal substitution Compositional data analysis Students |
| url | https://doi.org/10.1186/s12889-025-22151-2 |
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