New metrics for analysis and presentation of device-based indices of physical activity : Exploration of a novel way of reducing accelerometer data in…

2021

Master's thesis in Sports science (ME517) Background: Device-based measurements of human behavior are becoming the standard tool to collect precise, valid, and free-living indices of habitual physical activity. However, differences between brands and lack of consensus regarding data reduction strategies, hampers between and within study comparisons. New metrics such as the analytical (average acceleration and intensity gradient) and translational metrics (MX) proposed by Rowlands et al. (2019a) might overcome some of these limitations. Currently the new metrics have not been applied to large representative data sets and comparisons of measurement properties between traditional and new accel…