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可穿戴活动追踪器评估 3-5 岁儿童久坐行为和身体活动的分类准确性。

Classification Accuracy of a Wearable Activity Tracker for Assessing Sedentary Behavior and Physical Activity in 3-5-Year-Old Children.

机构信息

Department of Health, Kinesiology, and Recreation, University of Utah, Salt Lake City, UT 84112, USA.

School of Physical Education, Kyung Hee University, Yongin 17104, Korea.

出版信息

Int J Environ Res Public Health. 2018 Mar 26;15(4):594. doi: 10.3390/ijerph15040594.

DOI:10.3390/ijerph15040594
PMID:29587432
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5923636/
Abstract

This study examined the accuracy of the Fitbit activity tracker (FF) for quantifying sedentary behavior (SB) and varying intensities of physical activity (PA) in 3-5-year-old children. Twenty-eight healthy preschool-aged children (Girls: 46%, Mean age: 4.8 ± 1.0 years) wore the FF and were directly observed while performing a set of various unstructured and structured free-living activities from sedentary to vigorous intensity. The classification accuracy of the FF for measuring SB, light PA (LPA), moderate-to-vigorous PA (MVPA), and total PA (TPA) was examined calculating Pearson correlation coefficients (r), mean absolute percent error (MAPE), Cohen's kappa (), sensitivity (Se), specificity (Sp), and area under the receiver operating curve (ROC-AUC). The classification accuracies of the FF (ROC-AUC) were 0.92, 0.63, 0.77 and 0.92 for SB, LPA, MVPA and TPA, respectively. Similarly, values of kappa, Se, Sp and percentage of correct classification were consistently high for SB and TPA, but low for LPA and MVPA. The FF demonstrated excellent classification accuracy for assessing SB and TPA, but lower accuracy for classifying LPA and MVPA. Our findings suggest that the FF should be considered as a valid instrument for assessing time spent sedentary and overall physical activity in preschool-aged children.

摘要

这项研究旨在检验 Fitbit 活动追踪器(FF)在量化 3-5 岁儿童久坐行为(SB)和不同强度身体活动(PA)方面的准确性。28 名健康的学龄前儿童(女孩:46%,平均年龄:4.8±1.0 岁)佩戴 FF,并在进行一系列从久坐到剧烈强度的各种非结构化和结构化自由活动时直接观察。通过计算 Pearson 相关系数(r)、平均绝对百分比误差(MAPE)、Cohen's kappa()、灵敏度(Se)、特异性(Sp)和接收者操作特征曲线下面积(ROC-AUC)来评估 FF 测量 SB、低强度 PA(LPA)、中等到剧烈强度 PA(MVPA)和总 PA(TPA)的分类准确性。FF 的分类准确性(ROC-AUC)分别为 0.92、0.63、0.77 和 0.92,用于 SB、LPA、MVPA 和 TPA。同样,SB 和 TPA 的 kappa、Se、Sp 和正确分类百分比值较高,但 LPA 和 MVPA 的值较低。FF 对评估 SB 和 TPA 的分类具有极好的准确性,但对 LPA 和 MVPA 的分类准确性较低。我们的研究结果表明,FF 可作为评估学龄前儿童久坐时间和整体身体活动的有效工具。

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