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. 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.
Nineteen adults 11 male, 8 female; 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.
Our data suggest that the activity monitor using activity-dependent calculation models is more appropriate for predicting AEE in daily life than the activity monitor using a single regression model. This is an open-access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Competing interests: The authors have declared that no competing interests exist. Physical activity is an important determinant of health, and a lack of physical activity increases the risk of developing diseases and conditions including coronary heart diseases, Type 2 diabetes and colon and breast cancer and decreases life expectancy [1]. In recent years, a large research effort has been put into developing effective physical activity measures for disease prevention and therapy.
Daily physical activity is typically assessed using energy expenditure EE estimates where activity-related energy expenditure AEE is the most varying component of total energy expenditure TEE. The gold standards for measuring EE are indirect calorimetry in laboratory settings [7] and the doubly labeled water method for field testing [8].
