Physical Activity and Sedentary Behavior Assessment: A Laboratory-Based Evaluation of Agreement between Commonly Used ActiGraph and Omron Accelerometers

Shohei Yano, Mohammad Javad Koohsari, Ai Shibata, Kaori Ishii, Levi Frehlich, Gavin R. McCormack and Koichiro Oka
Additional contact information
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
Levi Frehlich: Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4Z6, Canada
Gavin R. McCormack: Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4Z6, Canada
Koichiro Oka: Faculty of Sport Sciences, Waseda University, Saitama 359-1192, Japan

IJERPH, 2019, vol. 16, issue 17, 1-13

Abstract: Different models of accelerometer have the potential to provide a different estimate of the same physical activity or sedentary behavior. Our study compared the outputs of the Active Style Pro (ASP) and ActiGraph (AG) devices in assessing predicted metabolic equivalents (METs) for specific activities under laboratory conditions. Thirty healthy young adults wore two hip accelerometers (ASP and AG), simultaneously while performing twenty-two activities (eight sedentary, eight household, and six ambulatory activities) in a controlled laboratory setting. For the AG, predicted METs for each activity was calculated using four equations based on vertical-axis and vector magnitude data. Separate paired t -tests and Bland–Altman analysis examined the difference and agreement in METs between AG using four commonly used equations and ASP measurements for each activity. AG devices using different equations calculated significantly different outcomes for most activities compared with ASP devices. The smallest differences in predicted METs estimates between ASP and AG were observed for ambulatory activities. Ambulatory activities demonstrated the best agreement between ASP and AG regardless of which AG equation was used. Our findings can be used to assist researchers in their selection of accelerometer and output estimation equations for measuring physical activity and sedentary behavior in adults.

Keywords: objective assessment; accelerometer; activity monitor; physical activity; measurement (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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