Assessing the damage: analyzing the impact of the COVID-19 pandemic on accelerometer-assessed 24-hour movement behaviours in Brazilian adolescents
Abstract Background Although there is consistent evidence of unhealthy changes in the 24-h movement behaviours when comparing pre-COVID-19 periods to the early stages of the pandemic, there is limited research on long-term changes among adolescents. This study aimed to analyze both between- and with...
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2025-05-01
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| Online Access: | https://doi.org/10.1186/s12889-025-23155-8 |
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| author | Marcus V. V. Lopes Ian Janssen Bruno G. G. da Costa Bruno N. de Oliveira Gabrielli T. de Mello Jean-Philippe Chaput Kelly S. Silva |
| author_facet | Marcus V. V. Lopes Ian Janssen Bruno G. G. da Costa Bruno N. de Oliveira Gabrielli T. de Mello Jean-Philippe Chaput Kelly S. Silva |
| author_sort | Marcus V. V. Lopes |
| collection | DOAJ |
| description | Abstract Background Although there is consistent evidence of unhealthy changes in the 24-h movement behaviours when comparing pre-COVID-19 periods to the early stages of the pandemic, there is limited research on long-term changes among adolescents. This study aimed to analyze both between- and within-participant differences in accelerometer-assessed 24-h movement behaviours by comparing cross-sectional and prospective data from the pre-COVID-19 period (August to December 2019) to the period following the reopening of schools for in-person classes in southern Brazil (August to December 2022). Methods This is a repeated cross-sectional design with a nested cohort. The 24-h movement behaviours (i.e., light physical activity [LIPA] and moderate-to-vigorous physical activity [MVPA], sedentary behaviour [SB], and sleep time [SPT]) were assessed by processing raw accelerometer data derived from a 24-h/7-day wrist-worn protocol. Compositional multilevel models were applied to compare the 24-h movement behaviour composition between time points for both cross-sectional and prospective data. Self-reported sociodemographic characteristics were examined as potential moderators. Results The cross-sectional and prospective samples comprised, respectively, 1276 (53% female, average age of 16.4 ± 1.1) and 249 (53% female, average age of 15.6 ± 0.8) participants. The 24-h movement behaviour composition differed between time-points in the cross-sectional (p < 0.001) and prospective samples (p < 0.001). Differences from 2019 to 2022 were explained by lower MVPA (-3.3 and -5.4 min/day in cross-sectional and prospective analysis, respectively) and a higher SB (4.7 and 34 min/day in cross-sectional and prospective analysis, respectively). No significant differences were observed for LIPA and SPT. Conclusions Differences in the 24-h movement behaviour composition comparing the cross-sectional samples, although statistically significant, were considered trivial and unlikely to have a substantial practical impact. However, considerable differences were observed in the prospective analysis. The results suggest that most of the observed changes over time were expected as a natural consequence of aging during high school, with only a small portion attributable to the residual impact of the pandemic. |
| format | Article |
| id | doaj-art-2c01cf47bbf7445a9d364f92f4e6fe3f |
| institution | DOAJ |
| issn | 1471-2458 |
| language | English |
| publishDate | 2025-05-01 |
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| spelling | doaj-art-2c01cf47bbf7445a9d364f92f4e6fe3f2025-08-20T03:16:51ZengBMCBMC Public Health1471-24582025-05-0125111110.1186/s12889-025-23155-8Assessing the damage: analyzing the impact of the COVID-19 pandemic on accelerometer-assessed 24-hour movement behaviours in Brazilian adolescentsMarcus V. V. Lopes0Ian Janssen1Bruno G. G. da Costa2Bruno N. de Oliveira3Gabrielli T. de Mello4Jean-Philippe Chaput5Kelly S. Silva6Healthy Active Living and Obesity Research Group, Children’s Hospital of Eastern Ontario Research InstituteSchool of Kinesiology and Health Studies, Queen’s UniversityDepartment of Kinesiology and Physical Education, McGill UniversityDepartment of Physical Education, Federal University of Santa CatarinaInstitute for Advancing Health Through Agriculture, Texas A&M AgriLife ResearchHealthy Active Living and Obesity Research Group, Children’s Hospital of Eastern Ontario Research InstituteDepartment of Physical Education, Federal University of Santa CatarinaAbstract Background Although there is consistent evidence of unhealthy changes in the 24-h movement behaviours when comparing pre-COVID-19 periods to the early stages of the pandemic, there is limited research on long-term changes among adolescents. This study aimed to analyze both between- and within-participant differences in accelerometer-assessed 24-h movement behaviours by comparing cross-sectional and prospective data from the pre-COVID-19 period (August to December 2019) to the period following the reopening of schools for in-person classes in southern Brazil (August to December 2022). Methods This is a repeated cross-sectional design with a nested cohort. The 24-h movement behaviours (i.e., light physical activity [LIPA] and moderate-to-vigorous physical activity [MVPA], sedentary behaviour [SB], and sleep time [SPT]) were assessed by processing raw accelerometer data derived from a 24-h/7-day wrist-worn protocol. Compositional multilevel models were applied to compare the 24-h movement behaviour composition between time points for both cross-sectional and prospective data. Self-reported sociodemographic characteristics were examined as potential moderators. Results The cross-sectional and prospective samples comprised, respectively, 1276 (53% female, average age of 16.4 ± 1.1) and 249 (53% female, average age of 15.6 ± 0.8) participants. The 24-h movement behaviour composition differed between time-points in the cross-sectional (p < 0.001) and prospective samples (p < 0.001). Differences from 2019 to 2022 were explained by lower MVPA (-3.3 and -5.4 min/day in cross-sectional and prospective analysis, respectively) and a higher SB (4.7 and 34 min/day in cross-sectional and prospective analysis, respectively). No significant differences were observed for LIPA and SPT. Conclusions Differences in the 24-h movement behaviour composition comparing the cross-sectional samples, although statistically significant, were considered trivial and unlikely to have a substantial practical impact. However, considerable differences were observed in the prospective analysis. The results suggest that most of the observed changes over time were expected as a natural consequence of aging during high school, with only a small portion attributable to the residual impact of the pandemic.https://doi.org/10.1186/s12889-025-23155-8Motor Activity; SleepAccelerometryMovement SensorCompositional Data |
| spellingShingle | Marcus V. V. Lopes Ian Janssen Bruno G. G. da Costa Bruno N. de Oliveira Gabrielli T. de Mello Jean-Philippe Chaput Kelly S. Silva Assessing the damage: analyzing the impact of the COVID-19 pandemic on accelerometer-assessed 24-hour movement behaviours in Brazilian adolescents BMC Public Health Motor Activity; Sleep Accelerometry Movement Sensor Compositional Data |
| title | Assessing the damage: analyzing the impact of the COVID-19 pandemic on accelerometer-assessed 24-hour movement behaviours in Brazilian adolescents |
| title_full | Assessing the damage: analyzing the impact of the COVID-19 pandemic on accelerometer-assessed 24-hour movement behaviours in Brazilian adolescents |
| title_fullStr | Assessing the damage: analyzing the impact of the COVID-19 pandemic on accelerometer-assessed 24-hour movement behaviours in Brazilian adolescents |
| title_full_unstemmed | Assessing the damage: analyzing the impact of the COVID-19 pandemic on accelerometer-assessed 24-hour movement behaviours in Brazilian adolescents |
| title_short | Assessing the damage: analyzing the impact of the COVID-19 pandemic on accelerometer-assessed 24-hour movement behaviours in Brazilian adolescents |
| title_sort | assessing the damage analyzing the impact of the covid 19 pandemic on accelerometer assessed 24 hour movement behaviours in brazilian adolescents |
| topic | Motor Activity; Sleep Accelerometry Movement Sensor Compositional Data |
| url | https://doi.org/10.1186/s12889-025-23155-8 |
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