用于对儿童久坐行为进行分类的腕部加速度计切点
Wrist Accelerometer Cut Points for Classifying Sedentary Behavior in Children.
作者信息
VAN Loo Christiana M T, Okely Anthony D, Batterham Marijka J, Hinkley Trina, Ekelund Ulf, Brage Søren, Reilly John J, Trost Stewart G, Jones Rachel A, Janssen Xanne, Cliff Dylan P
机构信息
1Early Start Research Institute and Illawarra Health and Medical Research Institute, University of Wollongong, Wollongong, AUSTRALIA; 2School of Mathematics and Applied Statistics, University of Wollongong, Wollongong, AUSTRALIA; 3School of Exercise and Nutrition Sciences, Institute for Physical Activity and Nutrition (IPAN), Deakin University, Geelong, AUSTRALIA; 4Norwegian School of Sports Sciences, Oslo, NORWAY; 5MRC Epidemiology Unit, University of Cambridge, Cambridge, UNITED KINGDOM; 6School of Psychological Sciences and Health, University of Strathclyde, Glasgow, Scotland, UNITED KINGDOM; and 7Institute of Health and Biomedical Innovation at Queensland Centre for Children's Health Research, School of Exercise and Nutrition Science, Queensland University of Technology, Brisbane, AUSTRALIA.
出版信息
Med Sci Sports Exerc. 2017 Apr;49(4):813-822. doi: 10.1249/MSS.0000000000001158.
INTRODUCTION
This study aimed to examine the validity and accuracy of wrist accelerometers for classifying sedentary behavior (SB) in children.
METHODS
Fifty-seven children (5-8 and 9-12 yr) completed an ~170-min protocol, including 15 semistructured activities and transitions. Nine ActiGraph (GT3X+) and two GENEActiv wrist cut points were evaluated. Direct observation was the criterion measure. The accuracy of wrist cut points was compared with that achieved by the ActiGraph hip cut point (≤25 counts per 15 s) and the thigh-mounted activPAL3. Analyses included equivalence testing, Bland-Altman procedures, and area under the receiver operating curve (ROC-AUC).
RESULTS
The most accurate ActiGraph wrist cut points (Kim; vector magnitude, ≤3958 counts per 60 s; vertical axis, ≤1756 counts per 60 s) demonstrated good classification accuracy (ROC-AUC = 0.85-0.86) and accurately estimated SB time in 5-8 yr (equivalence P = 0.02; mean bias = 4.1%, limits of agreement = -20.1% to 28.4%) and 9-12 yr (equivalence P < 0.01; -2.5%, -27.9% to 22.9%). The mean bias of SB time estimates from Kim were smaller than ActiGraph hip (5-8 yr: 15.8%, -5.7% to 37.2%; 9-12 yr: 17.8%, -3.9% to 39.5%) and similar to or smaller than activPAL3 (5-8 yr: 12.6%, -39.8% to 14.7%; 9-12 yr: -1.4%, -13.9% to 11.0%), although classification accuracy was similar to ActiGraph hip (ROC-AUC = 0.85) but lower than activPAL3 (ROC-AUC = 0.92-0.97). Mean bias (5-8 yr: 6.5%, -16.1% to 29.1%; 9-12 yr: 10.5%, -13.6% to 34.6%) for the most accurate GENEActiv wrist cut point (Schaefer: ≤0.19 g) was smaller than ActiGraph hip, and activPAL3 in 5-8 yr, but larger than activPAL3 in 9-12 yr. However, SB time estimates from Schaefer were not equivalent to direct observation (equivalence P > 0.05) and classification accuracy (ROC-AUC = 0.79-0.80) was lower than for ActiGraph hip and activPAL3.
CONCLUSION
The most accurate SB ActiGraph (Kim) and GENEActiv (Schaefer) wrist cut points can be applied in children with similar confidence as the ActiGraph hip cut point (≤25 counts per 15 s), although activPAL3 was generally more accurate.
引言
本研究旨在检验腕部加速度计对儿童久坐行为（SB）进行分类的有效性和准确性。
方法
57名儿童（5 - 8岁和9 - 12岁）完成了一个约170分钟的方案，包括15项半结构化活动及过渡阶段。评估了9个ActiGraph（GT3X +）和2个GENEActiv腕部切点。直接观察为标准测量方法。将腕部切点的准确性与ActiGraph髋部切点（每15秒≤25计数）和大腿佩戴的activPAL3所达到的准确性进行比较。分析包括等效性检验、Bland - Altman程序以及受试者工作特征曲线下面积（ROC - AUC）。
结果
最准确的ActiGraph腕部切点（Kim；矢量大小，每60秒≤3958计数；垂直轴，每60秒≤1756计数）显示出良好的分类准确性（ROC - AUC = 0.85 - 0.86），并准确估计了5 - 8岁儿童的久坐时间（等效性P = 0.02；平均偏差 = 4.1%，一致性界限 = - 20.1%至28.4%）和9 - 12岁儿童的久坐时间（等效性P < 0.01； - 2.5%， - 27.9%至22.9%）。来自Kim的久坐时间估计的平均偏差小于ActiGraph髋部切点（5 - 8岁：15.8%， - 5.7%至37.2%；9 - 12岁：17.8%， - 3.9%至39.5%），且与activPAL3相似或小于activPAL3（5 - 8岁：12.6%， - 39.8%至14.7%；9 - 12岁： - 1.4%， - 13.9%至11.0%），尽管分类准确性与ActiGraph髋部切点相似（ROC - AUC = 0.85）但低于activPAL3（ROC - AUC = 0.92 - 0.97）。最准确的GENEActiv腕部切点（Schaefer：≤0.19 g）的平均偏差（5 - 8岁：6.5%， - 16.1%至29.1%；9 - 12岁：10.5%， - 13.6%至34.6%）在5 - 8岁时小于ActiGraph髋部切点和activPAL3，但在9 - 12岁时大于activPAL3。然而，来自Schaefer的久坐时间估计与直接观察不等效（等效性P > 0.05），且分类准确性（ROC - AUC = 0.79 - 0.80）低于ActiGraph髋部切点和activPAL3。
结论
最准确的ActiGraph（Kim）和GENEActiv（Schaefer）腕部切点可像ActiGraph髋部切点（每15秒≤25计数）一样以相似的置信度应用于儿童，尽管activPAL3通常更准确。
Zotero 插件