用于评估年轻人身体活动的腕戴式ActiWatch 2和ActiGraph wGT3X的校准
Calibration of wrist-worn ActiWatch 2 and ActiGraph wGT3X for assessment of physical activity in young adults.
作者信息
Lee Paul, Tse C Y
机构信息
School of Nursing, Hong Kong Polytechnic University, Hong Kong.
Department of Health and Physical Education, Education University of Hong Kong, Hong Kong.
出版信息
Gait Posture. 2019 Feb;68:141-149. doi: 10.1016/j.gaitpost.2018.11.023. Epub 2018 Nov 19.
BACKGROUND
The validity of Actiwatch 2 in assessing sleep was evident, but its validity in assessing physical activity (PA) level was unknown.
RESEARCH QUESTION
The objective of this study was to validate the wrist-worn Actiwatch 2 and ActiGraph wGT3X as a measurement of PA level against energy expenditure measured by indirect calorimetry.
METHODS
Twenty-seven university students aged 18-26 were recruited from July 2016 to May 2017. They were instructed to run at different speeds (4, 6, 8, 10, and 12 km/h) on a treadmill, each speed for 10 min. Oxygen consumption and carbon dioxide production of the subjects was measured by indirect calorimetry using the Cosmed K4b gas analyzer. Each subjects wore a single pair of accelerometers (Actiwatch 2 and ActiGraph wGT3X) on both wrists.
RESULTS
All the accelerometers were strongly correlated (ρ=0.83-0.94, all p-values <0.001), and all four accelerometers were strongly correlated with the METs obtained from the Cosmed K4b (ρ=0.72-0.74, all p-values <0.001). Regression analysis showed that the non-dominant wrist-worn Actiwatch 2 cutoff cpm for moderate and vigorous PA were 399 and 1,404, respectively; for the ActiGraph wGT3X-BT the corresponding cutoffs were 4,514 and 15,044, respectively. The goodness-of-fit of the MET prediction equations were all >75%. When classifying the activities as either sedentary, light activity, moderate-intensity activity, or vigorous-intensity activity using the MET prediction equations, the agreements between the four accelerometers and that by the Cosmed K4b were high, all AUCs were above 80% except those of the Actiwatch worn on the left (non-dominant) wrist. The Bland-Altman plots show that, for all four accelerometers, the biases were close to zero and error variances were largest when the mean measurements were around 6 METs.
SIGNIFICANCE
We showed that wrist-worn Actiwatch 2 and ActiGraph wGT3X-BT were strongly correlated in PA assessment.
背景
Actiwatch 2在评估睡眠方面的有效性已得到证实，但其在评估身体活动（PA）水平方面的有效性尚不清楚。
研究问题
本研究的目的是验证腕戴式Actiwatch 2和ActiGraph wGT3X作为PA水平测量工具相对于间接测热法测量的能量消耗的有效性。
方法
2016年7月至2017年5月招募了27名年龄在18 - 26岁的大学生。他们被要求在跑步机上以不同速度（4、6、8、10和12公里/小时）跑步，每个速度跑10分钟。使用Cosmed K4b气体分析仪通过间接测热法测量受试者的耗氧量和二氧化碳产生量。每个受试者在双腕佩戴一对加速度计（Actiwatch 2和ActiGraph wGT3X）。
结果
所有加速度计之间都具有强相关性（ρ = 0.83 - 0.94，所有p值<0.001），并且所有四个加速度计与从Cosmed K4b获得的代谢当量（METs）都具有强相关性（ρ = 0.72 - 0.74，所有p值 <0.001）。回归分析表明，非优势腕佩戴的Actiwatch 2用于中度和剧烈PA的临界每分钟计数分别为399和1404；对于ActiGraph wGT3X - BT，相应的临界值分别为4514和15044。MET预测方程的拟合优度均>75%。当使用MET预测方程将活动分类为久坐、轻度活动、中度强度活动或剧烈强度活动时，四个加速度计与Cosmed K4b之间的一致性较高，除了佩戴在左（非优势）腕的Actiwatch外，所有曲线下面积（AUCs）均高于80%。Bland - Altman图显示，对于所有四个加速度计，偏差接近零，并且当平均测量值约为6 METs时误差方差最大。
意义
我们表明，腕戴式Actiwatch 2和ActiGraph wGT3X - BT在PA评估中具有强相关性。
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