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Sedentary time of university students before and during the COVID-19 pandemic: Risk groups and pre-pandemic predictors using cross-sectional and longitudinal data
BACKGROUND: The present study aimed to (1) assess and compare sedentary time (ST) of university students before and during the COVID-19 pandemic, (2) examine risk groups with regard to ST and the “extent of change” in ST (from before to during the pandemic) in association with sociodemographic (gend...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10113436/ https://www.ncbi.nlm.nih.gov/pubmed/37089509 http://dx.doi.org/10.3389/fpubh.2023.1138442 |
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author | Heller, Sebastian Kalo, Kristin Werner, Antonia M. Eisenbarth, Laura Reichel, Jennifer L. Mülder, Lina M. Schäfer, Markus Letzel, Stephan Simon, Perikles Rigotti, Thomas Dietz, Pavel |
author_facet | Heller, Sebastian Kalo, Kristin Werner, Antonia M. Eisenbarth, Laura Reichel, Jennifer L. Mülder, Lina M. Schäfer, Markus Letzel, Stephan Simon, Perikles Rigotti, Thomas Dietz, Pavel |
author_sort | Heller, Sebastian |
collection | PubMed |
description | BACKGROUND: The present study aimed to (1) assess and compare sedentary time (ST) of university students before and during the COVID-19 pandemic, (2) examine risk groups with regard to ST and the “extent of change” in ST (from before to during the pandemic) in association with sociodemographic (gender, age), study-related (degree aspired to, field of study, semester), and pre-pandemic physical health-related [pre-pandemic physical activity (PA) and ST levels, pre-pandemic BMI class] variables, and (3) investigate whether the change in ST was predicted by these variables. METHODS: Two online surveys were conducted among students at the University of Mainz, Germany—the first in 2019 (before the pandemic) and the second in 2020 (during the pandemic). Participants of both surveys were included in a longitudinal sample. With the longitudinal sample's data, paired t-tests, single factor, and mixed analyses of variances were used to examine group differences in ST and the “extent of change” in ST. A linear regression analysis was computed to investigate the influence of the abovementioned sociodemographic, study-related, and pre-pandemic physical health-related variables on the change in ST. RESULTS: Of the N = 4,351 (pre-pandemic) and N = 3,066 (in-pandemic) participants of the online surveys, N = 443 entered the longitudinal sample. ST increased by 1.4 h/day to critical levels (≥8 h/day) in all subgroups analyzed—even among students who were highly physically active before the pandemic. Students with a low pre-pandemic ST had the largest increase in ST. Pre-pandemic PA level negatively predicted the change in ST. CONCLUSION: Even during a global pandemic lockdown, individuals who were previously more physically active and had less ST showed more health-promoting behavior in terms of ST. Therefore, it can be stated that efforts to promote PA and reduce ST are always valuable. Since ST increased and was worryingly high in all subgroups analyzed, all university students should be targeted by multidimensional approaches to tackle ST and promote their health. |
format | Online Article Text |
id | pubmed-10113436 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-101134362023-04-20 Sedentary time of university students before and during the COVID-19 pandemic: Risk groups and pre-pandemic predictors using cross-sectional and longitudinal data Heller, Sebastian Kalo, Kristin Werner, Antonia M. Eisenbarth, Laura Reichel, Jennifer L. Mülder, Lina M. Schäfer, Markus Letzel, Stephan Simon, Perikles Rigotti, Thomas Dietz, Pavel Front Public Health Public Health BACKGROUND: The present study aimed to (1) assess and compare sedentary time (ST) of university students before and during the COVID-19 pandemic, (2) examine risk groups with regard to ST and the “extent of change” in ST (from before to during the pandemic) in association with sociodemographic (gender, age), study-related (degree aspired to, field of study, semester), and pre-pandemic physical health-related [pre-pandemic physical activity (PA) and ST levels, pre-pandemic BMI class] variables, and (3) investigate whether the change in ST was predicted by these variables. METHODS: Two online surveys were conducted among students at the University of Mainz, Germany—the first in 2019 (before the pandemic) and the second in 2020 (during the pandemic). Participants of both surveys were included in a longitudinal sample. With the longitudinal sample's data, paired t-tests, single factor, and mixed analyses of variances were used to examine group differences in ST and the “extent of change” in ST. A linear regression analysis was computed to investigate the influence of the abovementioned sociodemographic, study-related, and pre-pandemic physical health-related variables on the change in ST. RESULTS: Of the N = 4,351 (pre-pandemic) and N = 3,066 (in-pandemic) participants of the online surveys, N = 443 entered the longitudinal sample. ST increased by 1.4 h/day to critical levels (≥8 h/day) in all subgroups analyzed—even among students who were highly physically active before the pandemic. Students with a low pre-pandemic ST had the largest increase in ST. Pre-pandemic PA level negatively predicted the change in ST. CONCLUSION: Even during a global pandemic lockdown, individuals who were previously more physically active and had less ST showed more health-promoting behavior in terms of ST. Therefore, it can be stated that efforts to promote PA and reduce ST are always valuable. Since ST increased and was worryingly high in all subgroups analyzed, all university students should be targeted by multidimensional approaches to tackle ST and promote their health. Frontiers Media S.A. 2023-04-05 /pmc/articles/PMC10113436/ /pubmed/37089509 http://dx.doi.org/10.3389/fpubh.2023.1138442 Text en Copyright © 2023 Heller, Kalo, Werner, Eisenbarth, Reichel, Mülder, Schäfer, Letzel, Simon, Rigotti and Dietz. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health Heller, Sebastian Kalo, Kristin Werner, Antonia M. Eisenbarth, Laura Reichel, Jennifer L. Mülder, Lina M. Schäfer, Markus Letzel, Stephan Simon, Perikles Rigotti, Thomas Dietz, Pavel Sedentary time of university students before and during the COVID-19 pandemic: Risk groups and pre-pandemic predictors using cross-sectional and longitudinal data |
title | Sedentary time of university students before and during the COVID-19 pandemic: Risk groups and pre-pandemic predictors using cross-sectional and longitudinal data |
title_full | Sedentary time of university students before and during the COVID-19 pandemic: Risk groups and pre-pandemic predictors using cross-sectional and longitudinal data |
title_fullStr | Sedentary time of university students before and during the COVID-19 pandemic: Risk groups and pre-pandemic predictors using cross-sectional and longitudinal data |
title_full_unstemmed | Sedentary time of university students before and during the COVID-19 pandemic: Risk groups and pre-pandemic predictors using cross-sectional and longitudinal data |
title_short | Sedentary time of university students before and during the COVID-19 pandemic: Risk groups and pre-pandemic predictors using cross-sectional and longitudinal data |
title_sort | sedentary time of university students before and during the covid-19 pandemic: risk groups and pre-pandemic predictors using cross-sectional and longitudinal data |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10113436/ https://www.ncbi.nlm.nih.gov/pubmed/37089509 http://dx.doi.org/10.3389/fpubh.2023.1138442 |
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