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Article type: Research Article
Authors: Tripette, Juliena; * | Ando, Takafumib | Murakami, Harukaa | Yamamoto, Kentac | Ohkawara, Kazunorid | Tanaka, Shigehob | Miyachi, Motohikoa
Affiliations: [a] Department of Health Promotion and Exercise, National Institute of Health and Nutrition, Tokyo, Japan | [b] Department of Nutritional Sciences, National Institute of Health and Nutrition, Tokyo, Japan | [c] Department of Integrative Physiology, University of North Texas Health Science Centre, TX, USA | [d] Faculty of Informatics and Engineering, University of Electro-Communications, Tokyo, Japan
Correspondence: [*] Corresponding author: Julien Tripette, Department of Health Promotion and Exercise, National Institute of Health and Nutrition, Tokyo, Japan. Tel.: +81 3 3203 8061; Fax: +81 3 3203 1731; E-mail: tripette@nih.go.jp.
Abstract: Background:Several active video game (AVG) intervention studies failed in showing an increase in physical activity by using accelerometry measurements. Objective:To test the validity of accelerometry for monitoring AVG playing intensity. Method:Twenty-two adults performed 80 activities included in the Wii Sports and Wii Fit Plus series. The energy expenditure (EE) and subsequent MET values were measured by indirect calorimetry using metabolic chambers. Subjects wore an accelerometer-based monitor displaying MET values. For each activity, METs values obtained from indirect calorimetry and accelerometry were compared. Each activity was classified as light or moderate to vigorous physical activity (LPA: < 3METs or MVPA: ⩾ 3METs) for the two methods. Results:AVG intensities have been slightly but significantly underestimated by the acceleromater-based monitor compared to the indirect calorimetry (2.5 ± 1.0 instead of 2.7 ± 0.9 METs). Fourty percent of activities have been significantly misestimated, and 20% have been misclassified. Conclusion:Those results point out the potential bias of accelerometry measurements for evaluating AVG intensities. Because average AVG intensity lays at the boundary between LPA and MVPA classes, misclassifications can frequently occur. Accelerometry data should be interpreted with caution in intervention studies using AVG.
Keywords: Exergame, accelerometry, metabolic chamber, energy expenditure, metabolic equivalent
DOI: 10.3233/THC-140817
Journal: Technology and Health Care, vol. 22, no. 2, pp. 199-208, 2014
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