Pasanen, J., Leskinen, T., Suorsa, K. et al. Effects of physical activity intervention on 24-h movement behaviors: a compositional data analysis. Sci Rep 12, 8712 (2022). https://doi.org/10.1038/s41598-022-12715-2
Effects of physical activity intervention on 24-h movement behaviors : a compositional data analysis
|Author:||Pasanen, Jesse1; Leskinen, Tuija1,2; Suorsa, Kristin1,2;|
1Department of Public Health, University of Turku and Turku University Hospital, 20014, Turku, Finland
2Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
3Finnish Institute for Health and Welfare, Helsinki, Finland
4Faculty of Medicine, Center for Life Course Health Research, University of Oulu, Oulu, Finland
5Department of Mathematics and Statistics, University of Turku, Turku, Finland
6Department of Clinical Medicine, University of Turku, Turku, Finland
|Online Access:||PDF Full Text (PDF, 1.1 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2023030730254
|Publish Date:|| 2023-03-07
We utilized compositional data analysis (CoDA) to study changes in the composition of the 24-h movement behaviors during an activity tracker based physical activity intervention. A total of 231 recently retired Finnish retirees were randomized into intervention and control groups. The intervention participants were requested to use a commercial activity tracker bracelet with daily activity goal and inactivity alerts for 12 months. The controls received no intervention. The 24-h movement behaviors, i.e., sleep, sedentary time (SED), light physical activity (LPA), and moderate-to-vigorous physical activity (MVPA) were estimated from wrist-worn ActiGraph data using the GGIR R-package. Three balance coordinates describing the composition of movement behaviors were applied: ratio of active vs. passive behaviors, LPA vs. MVPA, and sleep vs. SED. A linear mixed model was used to study changes between the baseline and 6-month time point. Overall, the changes in the 24-h movement behaviors were small and did not differ between the groups. Only the ratio of LPA to MVPA tended to change differently between the groups (group*time interaction p = 0.08) as the intervention group increased LPA similarly to controls but decreased their MVPA. In conclusion, the use of a commercial activity tracker may not be enough to induce changes in the 24-h movement behaviors among retirees.
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
3142 Public health care science, environmental and occupational health
The work was supported by grants awarded by the Academy of Finland (Grant 309526 to TL, 335077 to JV, and 332030 to SS), the Juho Vainio Foundation (to TL), the Hospital District of South-West Finland (to TL), and the Finnish Ministry of Education and Culture (to SS).
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