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腕戴 GENEActiv 和髋戴 ActiGraph 加速度计阈值得出的儿童久坐时间估计值的可比性。

Comparability of children's sedentary time estimates derived from wrist worn GENEActiv and hip worn ActiGraph accelerometer thresholds.

机构信息

Physical Activity Exchange, Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, UK.

Physical Activity Exchange, Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, UK; Department of Sport and Physical Activity, Edge Hill University, UK.

出版信息

J Sci Med Sport. 2018 Oct;21(10):1045-1049. doi: 10.1016/j.jsams.2018.03.015. Epub 2018 Mar 28.

Abstract

OBJECTIVES

To examine the comparability of children's free-living sedentary time (ST) derived from raw acceleration thresholds for wrist mounted GENEActiv accelerometer data, with ST estimated using the waist mounted ActiGraph 100count·min threshold.

DESIGN

Secondary data analysis.

METHOD

108 10-11-year-old children (n=43 boys) from Liverpool, UK wore one ActiGraph GT3X+ and one GENEActiv accelerometer on their right hip and left wrist, respectively for seven days. Signal vector magnitude (SVM; mg) was calculated using the ENMO approach for GENEActiv data. ST was estimated from hip-worn ActiGraph data, applying the widely used 100count·min threshold. ROC analysis using 10-fold hold-out cross-validation was conducted to establish a wrist-worn GENEActiv threshold comparable to the hip ActiGraph 100count·min threshold. GENEActiv data were also classified using three empirical wrist thresholds and equivalence testing was completed.

RESULTS

Analysis indicated that a GENEActiv SVM value of 51mg demonstrated fair to moderate agreement (Kappa: 0.32-0.41) with the 100count·min threshold. However, the generated and empirical thresholds for GENEActiv devices were not significantly equivalent to ActiGraph 100count·min. GENEActiv data classified using the 35.6mg threshold intended for ActiGraph devices generated significantly equivalent ST estimates as the ActiGraph 100count·min.

CONCLUSIONS

The newly generated and empirical GENEActiv wrist thresholds do not provide equivalent estimates of ST to the ActiGraph 100count·min approach. More investigation is required to assess the validity of applying ActiGraph cutpoints to GENEActiv data. Future studies are needed to examine the backward compatibility of ST data and to produce a robust method of classifying SVM-derived ST.

摘要

目的

研究从腕部佩戴的 GENEActiv 加速度计数据的原始加速度阈值中得出的儿童自由活动时间(ST)与使用腰部佩戴的 ActiGraph 100count·min 阈值估计的 ST 之间的可比性。

设计

二次数据分析。

方法

来自英国利物浦的 108 名 10-11 岁儿童(n=43 名男孩)分别在右髋部和左腕部佩戴一个 ActiGraph GT3X+和一个 GENEActiv 加速度计,佩戴时间为七天。使用 ENMO 方法对 GENEActiv 数据进行信号矢量幅度(SVM;mg)计算。使用广泛使用的 100count·min 阈值从髋部佩戴的 ActiGraph 数据中估计 ST。采用 10 倍交叉验证的 ROC 分析,建立与髋部 ActiGraph 100count·min 阈值相当的腕部佩戴 GENEActiv 阈值。还使用三个经验性腕部阈值对 GENEActiv 数据进行分类,并完成等效性测试。

结果

分析表明,GENEActiv 的 SVM 值为 51mg 时与 100count·min 阈值具有中等至良好的一致性(Kappa:0.32-0.41)。然而,为 ActiGraph 设备生成的和经验性的 GENEActiv 阈值与 ActiGraph 100count·min 并不等效。使用专为 ActiGraph 设备设计的 35.6mg 阈值对 GENEActiv 数据进行分类,生成的 ST 估计值与 ActiGraph 100count·min 非常等效。

结论

新生成的和经验性的 GENEActiv 腕部阈值与 ActiGraph 100count·min 方法相比,不能提供等效的 ST 估计值。需要进一步研究以评估将 ActiGraph 截止值应用于 GENEActiv 数据的有效性。未来的研究需要检查 ST 数据的向后兼容性,并制定一种可靠的方法来对 SVM 衍生的 ST 进行分类。

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