Assessing Physical Activity and Sedentary Behavior under Free-Living Conditions: Comparison of Active Style Pro HJA-350IT and ActiGraph TM GT3X+

Shohei Yano, Mohammad Javad Koohsari, Ai Shibata, Kaori Ishii, Suzanne Mavoa and Koichiro Oka
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Shohei Yano: Institute for Sport Sciences, Waseda University, Saitama 359-1192, Japan
Mohammad Javad Koohsari: Faculty of Sport Sciences, Waseda University, Saitama 359-1192, Japan
Ai Shibata: Faculty of Health and Sports Sciences, University of Tsukuba, Ibaraki 305-8574, Japan
Kaori Ishii: Faculty of Sport Sciences, Waseda University, Saitama 359-1192, Japan
Suzanne Mavoa: Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC 3010, Australia
Koichiro Oka: Faculty of Sport Sciences, Waseda University, Saitama 359-1192, Japan

IJERPH, 2019, vol. 16, issue 17, 1-14

Abstract: Various accelerometers have been used in research measuring physical activity (PA) and sedentary behavior (SB). This study compared two triaxial accelerometers—Active style Pro (ASP) and ActiGraph (AG)—in measuring PA and SB during work and nonwork days in free-living conditions. A total of 50 working participants simultaneously wore these two accelerometers on one work day and one nonwork day. The difference and agreement between the ASP and AG were analyzed using paired t -tests, Bland–Altman plots, and intraclass coefficients, respectively. Correction factors were provided by linear regression analysis. The agreement in intraclass coefficients was high among all PA intensities between ASP and AG. SB in the AG vertical axis was approximately 103 min greater than ASP. Regarding moderate-to-vigorous-intensity PA (MVPA), ASP had the greatest amount, followed by AG. There were significant differences in all variables among these devices across all day classifications, except for SB between ASP and AG vector magnitude. The correction factors decreased the differences of SB and MVPA. PA time differed significantly between ASP and AG. However, SB and MVPA differences between these two devices can be decreased using correction factors, which are useful methods for public health researchers.

Keywords: accelerometers; accelerometry; objective assessment; sitting time; activity monitors (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2019
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