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Prevalence and correlates of self-reported and accelerometer-determined sedentary behavior and physical activity of German university students : cross-sectional results of the SmartMoving study

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Hoffmann, Sascha W. ; Helten, Jessica ; Loss, Julika ; Germelmann, Claas Christian ; Tittlbach, Susanne:
Prevalence and correlates of self-reported and accelerometer-determined sedentary behavior and physical activity of German university students : cross-sectional results of the SmartMoving study.
In: BMC Public Health. Vol. 25 (2025) Issue 1 . - 3043.
ISSN 1471-2458
DOI: https://doi.org/10.1186/s12889-025-24378-5

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BACKGROUND

Sedentary behavior (SB) and the absence of physical activity (PA) have become increasingly prevalent in modern societies due to changes in physical and social-environmental conditions, particularly in university students. This cross-sectional study aimed to describe and identify the prevalence and correlates of self-reported and accelerometer-determined SB and PA of German university students.

METHODS

A convenience sample of 532 students participated in a questionnaire survey during the lecture period in the summer term 2018. Self-reported total PA, university-, travel-, and leisure-time-related PA were calculated, in addition to self-reported sitting time (ST) within the university. A sub-sample of forty-six participants also received body composition measurements and then wore an ActiGraph wGT3X-BT for seven consecutive days to objectively determine SB, PA, and sleep duration. Differences in descriptive characteristics between samples were analyzed using independent t-test for normally distributed variables or the nonparametric or Mann-Whitney U-Test for not normally distributed variables. Forward stepwise logistic regression analyses were used to analyze correlates associated with self-reported SB and PA in the university context. Stepwise, multiple linear regression analysis was used to determine the associations of anthropometric, sociodemographic, study-related, self-reported SB and PA variables with objectively-determined SB controlling for potential confounders.

RESULTS

Self-reported ST within the university was 2020.5 min/week (95% CI: 1915.8-2125.1), while females reported a 4 h per day higher ST compared with male students (p = 0.023). Self-reported PA exclusively at the university was 211.9 min/week (195.3-228.6) with additional time in active travel (AT) of 266.1 min/week (236.8-295.4). Students with higher amounts of sitting (e.g. in the library or in lectures; p < 0.001) and students who had lower time in AT (p = 0.023) were more likely to be sedentary in the university context. Furthermore, students with a higher monthly net household income (p = 0.043), higher values in university-related PA (e.g. walking between lectures or stair climbing; p < 0.001) and students who were also engaged in higher times of AT (p = 0.004) were more physically active at the university compared with students in the reference group. Correlates associated with accelerometer-determined SB included light-intensity PA (LIPA; p < 0.001), moderate-to-vigorous PA (MVPA; p < 0.001), sleep duration (p < 0.001), monthly net household income (p = 0.006) and total cycling time at the university (p = 0.032).

CONCLUSION

Our sample of university students were highly sedentary, but also very active and met current PA recommendations. Daily LIPA, MVPA and also sleep duration were negatively associated with accelerometer-determined SB. Beyond that, daily AT might be a supporting correlate to reduce SB in university students and should be considered as a key variable in future longitudinal interventional studies on activity-friendly and health promoting university environments.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: Accelerometry; Active travel; Health implications; Physical activity; Sedentary behavior; Sleep duration; University students
Institutions of the University: Faculties
Faculties > Faculty of Law, Business and Economics
Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration III - Marketing and Consumer Behaviour
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration III - Marketing and Consumer Behaviour > Chair Business Administration III - Marketing and Consumer Behaviour - Univ.-Prof. Dr. Claas Christian Germelmann
Faculties > Faculty of Cultural Studies
Faculties > Faculty of Cultural Studies > Department of Sport Science
Faculties > Faculty of Cultural Studies > Department of Sport Science > Chair Exercise Physiology
Faculties > Faculty of Cultural Studies > Department of Sport Science > Professor Sport Science IV - Sports Medicine and Sports Physiology
Faculties > Faculty of Cultural Studies > Department of Sport Science > Chair Sport Science III - Social and Health Sciences in Sport
Faculties > Faculty of Cultural Studies > Department of Sport Science > Chair Sport Science III - Social and Health Sciences in Sport > Chair Sport Science III - Social and Health Sciences in Sport - Univ.-Prof. Dr. Susanne Tittlbach
Research Institutions
Research Institutions > Central research institutes
Research Institutions > Central research institutes > Bayreuth Center of Sport Science (BaySpo)
Result of work at the UBT: Yes
DDC Subjects: 600 Technology, medicine, applied sciences
600 Technology, medicine, applied sciences > 610 Medicine and health
700 Arts and recreation > 790 Sports, games, entertainment
Date Deposited: 18 Sep 2025 06:51
Last Modified: 19 Sep 2025 05:15
URI: https://eref.uni-bayreuth.de/id/eprint/94734