Wrist-Based Accelerometer Cut-Points to Identify Sedentary Time in 5⁻11-Year-Old Children.

Authors:
Jessica Chandler
Jessica Chandler
University of South Carolina
Clemson | United States
Michael Beets
Michael Beets
University of South Carolina
United States
Pedro Saint-Maurice
Pedro Saint-Maurice
Iowa State University
United States
Robert Weaver
Robert Weaver
University of Calgary
Calgary | Canada
Dylan Cliff
Dylan Cliff
University of Wollongong
Australia
Clemens Drenowatz
Clemens Drenowatz
Michigan State University
United States
Dr. Justin B Moore, PhD, MS
Dr. Justin B Moore, PhD, MS
Wake Forest School of Medicine
Associate Professor
Implementation Science, Epidemiology
Winston-Salem, NC | United States
Mei Sui
Mei Sui
University of South Carolina

Children (Basel) 2018 Sep 26;5(10). Epub 2018 Sep 26.

Department of Exercise Science, University of South Carolina, Columbia, SC 29208, USA.

Background: The objective of this paper is to derive a wrist-placed cut-point threshold for distinguishing sedentary behaviors from light-intensity walking using the ActiGraph GT3X+ in children.

Methods: This study employed a cross-sectional study design, typically used in measurement-related studies. A sample of 167 children, ages 5⁻11 years (mean ± SD: 8.0 ± 1.8 years), performed up to eight seated sedentary activities while wearing accelerometers on both wrists. Activities included: reading books, sorting cards, cutting and pasting, playing board games, eating snacks, playing with tablets, watching TV, and writing. Direct observation verified sedentary behavior from light activity. Receiver operator characteristic (ROC) analyses were used to determine optimal cut-point thresholds. Quantile regression models estimated differences between dominant and non-dominant placement.

Results: The optimal cut-point threshold for the non-dominant wrist was 203 counts/5 s with sensitivity, specificity, and area under the curve (AUC) of 71.56, 70.83, and 0.72, respectively. A 10-fold cross-validation revealed an average AUC of 0.70. Statistically significant ( ≤ 0.05) differences in median counts ranging from 7 to 46 counts/5 s were found between dominant and non-dominant placement in five out of eight sedentary activities, with the dominant wrist eliciting higher counts/5 s.

Conclusion: Results from this study support the recommendation to place accelerometers on the non-dominant wrist to minimize "noise" during seated sedentary behaviors.

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Source
http://www.mdpi.com/2227-9067/5/10/137
Publisher Site
http://dx.doi.org/10.3390/children5100137DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6210293PMC

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September 2018
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