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Validation and comparison of two methods to Assess Human Energy Expenditure during Free-Living Activities

Anastasopoulou, P.; Tubic, M.; Schmidt, S.; Neumann, R.; Woll, A.; Härtel, S.

The measurement of activity energy expenditure (AEE) via accelerometry is the most commonly used objective method for assessing human daily physical activity and has gained increasing importance in the medical, sports and psychological science research in recent years.
Objective: The purpose of this study was to determine which of the following procedures is more accurate to determine the energy cost during the most common everyday life activities; a single regression or an activity based approach. For this we used a device that utilizes single regression models (GT3X, ActiGraph Manufacturing Technology Inc., FL., USA) and a device using activity-dependent calculation models (move II, movisens GmbH, Karlsruhe, Germany).
Material and Methods:
Nineteen adults (11 male, 8 female; 30.469.0 years) wore the activity monitors attached to the waist and a portable indirect calorimeter (IC) as reference measure for AEE while performing several typical daily activities. The accuracy of the two devices for estimating AEE was assessed as the mean differences between their output and the reference and evaluated using Bland-Altman analysis.
The GT3X overestimated the AEE of walking (GT3X minus reference, 1.26 kcal/min), walking fast (1.72 kcal/min), walking up2/downhill (1.45 kcal/min) and walking upstairs (1.92 kcal/min) and underestimated the AEE of jogging (2 1.30 kcal/min) and walking upstairs (22.46 kcal/min). ... mehr

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Verlagsausgabe §
DOI: 10.5445/IR/1000041919
Veröffentlicht am 26.09.2018
DOI: 10.1371/journal.pone.0090606
Zitationen: 22
Web of Science
Zitationen: 19
Zugehörige Institution(en) am KIT Institut für Sport und Sportwissenschaft (IfSS)
Publikationstyp Zeitschriftenaufsatz
Jahr 2014
Sprache Englisch
Identifikator ISSN: 1932-6203
KITopen-ID: 1000041919
Erschienen in PLoS one
Band 9
Heft 2
Seiten e90606
Bemerkung zur Veröffentlichung Gefördert durch den KIT-Publikationsfonds
Nachgewiesen in Web of Science
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