Literature DB >> 24898861

Evaluation of active video games intensity: comparison between accelerometer-based predictions and indirect calorimetric measurements.

Julien Tripette1, Takafumi Ando2, Haruka Murakami1, Kenta Yamamoto3, Kazunori Ohkawara4, Shigeho Tanaka2, Motohiko Miyachi1.   

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; energy expenditure; metabolic chamber; metabolic equivalent

Mesh:

Year:  2014        PMID: 24898861     DOI: 10.3233/THC-140817

Source DB:  PubMed          Journal:  Technol Health Care        ISSN: 0928-7329            Impact factor:   1.285


  2 in total

Review 1.  Effects of Exergaming on Physical Activity in Overweight Individuals.

Authors:  Christoph Höchsmann; Michael Schüpbach; Arno Schmidt-Trucksäss
Journal:  Sports Med       Date:  2016-06       Impact factor: 11.136

2.  Comparison of Older and Newer Generation Active Style Pro Accelerometers in Physical Activity and Sedentary Behavior Surveillance under a Free-Living Environment.

Authors:  Shohei Yano; Mohammad Javad Koohsari; Ai Shibata; Kaori Ishii; Levi Frehlich; Gavin R McCormack; Koichiro Oka
Journal:  Int J Environ Res Public Health       Date:  2019-05-07       Impact factor: 3.390

  2 in total

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