Day-to-Day Variability and Year-to-Year Reproducibility of Accelerometer-Measured Free-Living Sit-to-Stand Transitions Volume and Intensity among Community-Dwelling Older Adults
Löppönen, A., Karavirta, L., Portegijs, E., Koivunen, K., Rantanen, T., Finni, T., Delecluse, C., Van Roie, E., & Rantalainen, T. (2021). Day-to-Day Variability and Year-to-Year Reproducibility of Accelerometer-Measured Free-Living Sit-to-Stand Transitions Volume and Intensity among Community-Dwelling Older Adults. Sensors, 21(18), Article 6068. https://doi.org/10.3390/s21186068
DisciplineGerontologia ja kansanterveysBiomekaniikkaGerontologian tutkimuskeskusHyvinvoinnin tutkimuksen yhteisöGerontology and Public HealthBiomechanicsGerontology Research CenterSchool of Wellbeing
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.
(1) Background: The purpose of this study was to evaluate the day-to-day variability and year-to-year reproducibility of an accelerometer-based algorithm for sit-to-stand (STS) transitions in a free-living environment among community-dwelling older adults. (2) Methods: Free-living thigh-worn accelerometry was recorded for three to seven days in 86 (women n = 55) community-dwelling older adults, on two occasions separated by one year, to evaluate the long-term consistency of free-living behavior. (3) Results: Year-to-year intraclass correlation coefficients (ICC) for the number of STS transitions were 0.79 (95% confidence interval, 0.70–0.86, p < 0.001), for mean angular velocity—0.81 (95% ci, 0.72–0.87, p < 0.001), and maximal angular velocity—0.73 (95% ci, 0.61–0.82, p < 0.001), respectively. Day-to-day ICCs were 0.63–0.72 for number of STS transitions (95% ci, 0.49–0.81, p < 0.001) and for mean angular velocity—0.75–0.80 (95% ci, 0.64–0.87, p < 0.001). Minimum detectable change (MDC) was 20.1 transitions/day for volume, 9.7°/s for mean intensity, and 31.7°/s for maximal intensity. (4) Conclusions: The volume and intensity of STS transitions monitored by a thigh-worn accelerometer and a sit-to-stand transitions algorithm are reproducible from day to day and year to year. The accelerometer can be used to reliably study STS transitions in free-living environments, which could add value to identifying individuals at increased risk for functional disability. ...
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- Liikuntatieteiden tiedekunta 
Related funder(s)Academy of Finland; European Commission
Funding program(s)Academy Project, AoF; Academy Research Fellow, AoF; Research costs of Academy Research Fellow, AoF
The content of the publication reflects only the author’s view. The funder is not responsible for any use that may be made of the information it contains.
Additional information about fundingThis work was financially supported by an Advanced Grant from the European Research Council (Grant 693045 to Taina Rantanen), the Academy of Finland (Grant 310526 to Taina Rantanen), the Academy Research Fellow (Academy of Finland Grant 321336 and 328818 to Timo Rantalainen) the Finnish Ministry of Education and Culture (Grant to Erja Portegijs), and the Research Foundation Flanders, Belgium (senior postdoctoral fellowship 12Z5720N to Evelien Van Roie). ...
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