ActiGraph Cutpoints Impact Physical Activity and Sedentary Behavior Outcomes in Young Children

Author:

Breau Becky123,Coyle-Asbil Hannah J.1,Haines Jess4,Ma David W.L.1,Vallis Lori Ann1,_ _

Affiliation:

1. 1Department of Human Health and Nutritional Sciences, University of Guelph, Guelph, ON, Canada

2. 2Leibniz Institute for Prevention Research and Epidemiology—BIPS, Bremen, Germany

3. 3Faculty of Mathematics and Computer Science, University of Bremen, Bremen, Germany

4. 4Department of Family Relations and Applied Nutrition, University of Guelph, Guelph, ON, Canada

Abstract

Purpose: Examine the effect of cutpoint selection on physical activity (PA) metrics calculated from young children’s accelerometer data and on the proportion of children meeting PA guidelines. Methods: A total of 262 children (3.6 ± 1.4 years, 126 males) wore ActiGraph wGT3X-BT accelerometers on their right hip for 7 days, 24 hr/day. Ten cutpoint sets were applied to the sample categorized by age, based on populations of the original cutpoint calibration studies using ActiLife software. Resulting sedentary behavior, light PA, moderate to vigorous PA, and total PA were compared using repeated-measures analysis of variance. Proportion of children meeting age-appropriate PA guidelines based on each cutpoint set was assessed using Cochran’s q tests. Results: Children wore the accelerometer for an average of 7.6 ± 1.2 days for an average of 11.9 ± 1.2 hr/day. Significant differences in time spent in each intensity were found across all cutpoints except for sedentary, and total PA for three comparisons (Trost vs. Butte Vertical Axis [VA], Pate vs. Puyau, and Costa VA vs. Evenson) and moderate to vigorous PA for four comparisons (Trost vs. Pate, Trost vs. Pate and Pfeiffer, Pate vs. Pate and Pfeiffer, and van Cauwenberghe vs. Evenson). When examined within age-appropriate groups, all sets of cutpoints resulted in significant differences across all intensities and in the number of children meeting PA guidelines. Conclusion: Choice of cutpoints applied to data from young children significantly affects times calculated for different movement intensities, which in turn impacts the proportion of children meeting guidelines. Thus, comparisons of movement intensities should not be made across studies using different sets of cutpoints.

Publisher

Human Kinetics

Subject

General Medicine

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