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
Antti Löppönen,
Laura Karavirta,
Erja Portegijs,
Kaisa Koivunen,
Taina Rantanen,
Taija Finni,
Christophe Delecluse,
Evelien Van Roie,
Timo Rantalainen
Affiliations
Antti Löppönen
Faculty of Sport and Health Sciences, Gerontology Research Center, University of Jyväskylä, 40014 Jyväskylä, Finland
Laura Karavirta
Faculty of Sport and Health Sciences, Gerontology Research Center, University of Jyväskylä, 40014 Jyväskylä, Finland
Erja Portegijs
Faculty of Sport and Health Sciences, Gerontology Research Center, University of Jyväskylä, 40014 Jyväskylä, Finland
Kaisa Koivunen
Faculty of Sport and Health Sciences, Gerontology Research Center, University of Jyväskylä, 40014 Jyväskylä, Finland
Taina Rantanen
Faculty of Sport and Health Sciences, Gerontology Research Center, University of Jyväskylä, 40014 Jyväskylä, Finland
Taija Finni
Faculty of Sport and Health Sciences, Neuromuscular Research Center, University of Jyväskylä, 40014 Jyväskylä, Finland
Christophe Delecluse
Physical Activity, Sports and Health Research Group, Department of Movement Sciences, KU Leuven, 3000 Leuven, Belgium
Evelien Van Roie
Physical Activity, Sports and Health Research Group, Department of Movement Sciences, KU Leuven, 3000 Leuven, Belgium
Timo Rantalainen
Faculty of Sport and Health Sciences, Gerontology Research Center, University of Jyväskylä, 40014 Jyväskylä, Finland
(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 p p p 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.