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Children 2018, 5(10), 137; https://doi.org/10.3390/children5100137

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

1
College of Nursing, Medical University of South Carolina, Charleston, SC 29425, USA
2
Department of Exercise Science, University of South Carolina, Columbia, SC 29208, USA
3
Division of Cancer Epidemiology and Genetics, National Cancer Institute (NIH), Rockville, MD 20850, USA
4
School of Education, University of Wollongong, Wollongong, NSW 2522, Australia
5
Division of Physical Education, University of Education Upper Austria, Kaplanhofstrasse 40, 4020 Linz, Austria
6
Department of Family & Community Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
*
Author to whom correspondence should be addressed.
Received: 13 August 2018 / Revised: 21 September 2018 / Accepted: 24 September 2018 / Published: 26 September 2018
(This article belongs to the Special Issue Physical Activity and Sedentary Behaviour in Children and Adolescents)
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PDF [234 KB, uploaded 28 September 2018]

Abstract

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 (p ≤ 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. View Full-Text
Keywords: wearables; physical activity; measurement; youth; sedentary behavior; cut-points wearables; physical activity; measurement; youth; sedentary behavior; cut-points
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Chandler, J.; Beets, M.; Saint-Maurice, P.; Weaver, R.; Cliff, D.; Drenowatz, C.; Moore, J.B.; Sui, X.; Brazendale, K. Wrist-Based Accelerometer Cut-Points to Identify Sedentary Time in 5–11-Year-Old Children. Children 2018, 5, 137.

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