24-Hour Movement Behavior and Health-Related Physical Fitness in College Students: A Compositional Data Analysis.
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| Title: | 24-Hour Movement Behavior and Health-Related Physical Fitness in College Students: A Compositional Data Analysis. |
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| Authors: | Yang, Qiushi (AUTHOR), Wang, Junli (AUTHOR), Bai, Jianfei (AUTHOR) |
| Source: | International Journal of Behavioral Medicine. Jun2026, Vol. 33 Issue 3, p441-451. 11p. |
| Subjects: | Cross-sectional method, Health status indicators, Research funding, Human beings, Statistical sampling, Questionnaires, Descriptive statistics, Screen time, Dose-response relationship in biochemistry, Surveys, Health behavior, Physical fitness, Sleep, Body movement, College students, Confidence intervals, Data analysis software, Health promotion, Time, Regression analysis, Physical activity |
| Geographic Terms: | China |
| Abstract: | Background: Sedentary 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. Method: In 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. Results: The 24-h movement behavior significantly influenced HRPF (p < 0.01, R2 = 0.16). A positive correlation was found between HRPF and the proportion of moderate-to-vigorous physical activity (MVPA) (βMVPA = 1.03, p < 0.01) and learning sedentary (LSED) (βLSED = 2.41, p < 0.05), while a negative correlation existed with sleep (βSLP = − 3.52, p < 0.01). Significant reallocations of 30 min from sleep to MVPA (+ 0.57, p < 0.05) and from screening sedentary (SSED) to MVPA (+ 0.39, p < 0.05) were observed. No significant associations were found between HRPF and reallocating from light-intensity physical activity to MVPA. Conclusion: In 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. [ABSTRACT FROM AUTHOR] |
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| Database: | Psychology and Behavioral Sciences Collection |
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| Abstract: | Background: Sedentary 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. Method: In 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. Results: The 24-h movement behavior significantly influenced HRPF (p < 0.01, R2 = 0.16). A positive correlation was found between HRPF and the proportion of moderate-to-vigorous physical activity (MVPA) (βMVPA = 1.03, p < 0.01) and learning sedentary (LSED) (βLSED = 2.41, p < 0.05), while a negative correlation existed with sleep (βSLP = − 3.52, p < 0.01). Significant reallocations of 30 min from sleep to MVPA (+ 0.57, p < 0.05) and from screening sedentary (SSED) to MVPA (+ 0.39, p < 0.05) were observed. No significant associations were found between HRPF and reallocating from light-intensity physical activity to MVPA. Conclusion: In 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. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 10705503 |
| DOI: | 10.1007/s12529-025-10360-3 |
