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

被引:9
作者
Chandler, Jessica [1 ]
Beets, Michael [2 ]
Saint-Maurice, Pedro [3 ]
Weaver, Robert [2 ]
Cliff, Dylan [4 ]
Drenowatz, Clemens [5 ]
Moore, Justin B. [6 ]
Sui, Xuemei [2 ]
Brazendale, Keith [2 ]
机构
[1] Med Univ South Carolina, Coll Nursing, Charleston, SC 29425 USA
[2] Univ South Carolina, Dept Exercise Sci, Columbia, SC 29208 USA
[3] NCI, Div Canc Epidemiol & Genet, NIH, Rockville, MD 20850 USA
[4] Univ Wollongong, Sch Educ, Wollongong, NSW 2522, Australia
[5] Univ Educ Upper Austria, Div Phys Educ, Kaplanhofstr 40, A-4020 Linz, Austria
[6] Wake Forest Sch Med, Dept Family & Community Med, Winston Salem, NC 27101 USA
来源
CHILDREN-BASEL | 2018年 / 5卷 / 10期
关键词
wearables; physical activity; measurement; youth; sedentary behavior; cut-points; PHYSICAL-ACTIVITY; CALIBRATION; VALIDATION; MONITORS; OUTPUT; YOUTH;
D O I
10.3390/children5100137
中图分类号
R72 [儿科学];
学科分类号
100202 ;
摘要
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.
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页数:8
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