Physical Activity Assessment Between Consumer- and Research-Grade Accelerometers: A Comparative Study in Free-Living Conditions.
Physical Activity Assessment Between Consumer- and Research-Grade Accelerometers: A Comparative Study in Free-Living Conditions.
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DOI：
10.2196/mhealth.6281
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发表时间：
2016-09-19
影响因子：
5
通讯作者：
Papas MA
中科院分区：
文献类型：
--
作者：
Dominick GM;Winfree KN;Pohlig RT;Papas MA
Fitbit等可穿戴活动监测器使用户能够随着时间的推移跟踪其身体活动（PA）的各种属性，并有可能用于研究以促进和测量PA行为。然而，Fitbit在绝对自由生活条件下的测量精度在很大程度上是未知的。检查Fitbit Flex和ActiGraph GT 3X之间的测量一致性，以量化自由生活条件下健康成人的步数、代谢当量任务（MET）以及久坐活动和轻、中、高强度PA的时间比例。19名参与者（4名男性和15名女性）的便利样本，年龄在18-37岁之间，同时佩戴Fitbit Flex（手腕）和ActiGraph GT 3X（腰部），观察期为1周或2周（分别为n=3和n=16），包括自我报告的日常锻炼。研究人员检查了14天内的平均每日活动数据和报告的运动分钟数。平均日水平数据包括步数、MET和不同强度水平的时间比例。分钟级数据包括步数、MET和总体报告的运动回合（N=120）和运动类型（步行，n=16;跑步或运动，n=44;有氧运动机，n=20）的平均强度评分（0 =久坐，3 =剧烈）。对于平均日和分钟水平的观察结果，两种器械之间的步数测量值相似（所有P值> 0.05）。Fitbit显著高估了平均每日活动、报告的运动总分钟数以及步行和跑步或体育锻炼的MET（平均差异分别为0.70、1.80、3.16和2.00 MET;所有P值均< .001）。对于平均每日活动，Fitbit分别将久坐和光照强度下的时间比例显著低估了20%和34%，而将中度和剧烈强度下的时间比例高估了3%（所有P值均< .001）。运动总分钟数、跑步、运动和有氧运动的平均强度评分没有差异（所有P值均> 0.05）。Fitbit Flex提供了日常活动步数和报告的运动分钟数的准确测量，无论运动类型如何。尽管不同器械之间不同强度水平的时间比例不同，但检查不同运动类型的分钟级发作的平均强度评分可以进行器械间比较，结果显示运动强度的测量结果相似。Fitbit Flex被证明具有测量限制，可能会影响其在自由生活条件下测量PA属性的潜在效用和有效性。
Wearable activity monitors such as Fitbit enable users to track various attributes of their physical activity (PA) over time and have the potential to be used in research to promote and measure PA behavior. However, the measurement accuracy of Fitbit in absolute free-living conditions is largely unknown. To examine the measurement congruence between Fitbit Flex and ActiGraph GT3X for quantifying steps, metabolic equivalent tasks (METs), and proportion of time in sedentary activity and light-, moderate-, and vigorous-intensity PA in healthy adults in free-living conditions. A convenience sample of 19 participants (4 men and 15 women), aged 18-37 years, concurrently wore the Fitbit Flex (wrist) and ActiGraph GT3X (waist) for 1- or 2-week observation periods (n=3 and n=16, respectively) that included self-reported bouts of daily exercise. Data were examined for daily activity, averaged over 14 days and for minutes of reported exercise. Average day-level data included steps, METs, and proportion of time in different intensity levels. Minute-level data included steps, METs, and mean intensity score (0 = sedentary, 3 = vigorous) for overall reported exercise bouts (N=120) and by exercise type (walking, n=16; run or sports, n=44; cardio machine, n=20). Measures of steps were similar between devices for average day- and minute-level observations (all P values > .05). Fitbit significantly overestimated METs for average daily activity, for overall minutes of reported exercise bouts, and for walking and run or sports exercises (mean difference 0.70, 1.80, 3.16, and 2.00 METs, respectively; all P values < .001). For average daily activity, Fitbit significantly underestimated the proportion of time in sedentary and light intensity by 20% and 34%, respectively, and overestimated time by 3% in both moderate and vigorous intensity (all P values < .001). Mean intensity scores were not different for overall minutes of exercise or for run or sports and cardio-machine exercises (all P values > .05). Fitbit Flex provides accurate measures of steps for daily activity and minutes of reported exercise, regardless of exercise type. Although the proportion of time in different intensity levels varied between devices, examining the mean intensity score for minute-level bouts across different exercise types enabled interdevice comparisons that revealed similar measures of exercise intensity. Fitbit Flex is shown to have measurement limitations that may affect its potential utility and validity for measuring PA attributes in free-living conditions.
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影响因子：
3.4
作者：
Gatti, Anthony A.;Stratford, Paul W.;Maly, Monica R.
通讯作者：
Maly, Monica R.
影响因子：
2.2
作者：
Napolitano, Melissa A.;Borradaile, Kelley E.;Marcus, Bess H.
通讯作者：
Marcus, Bess H.
DOI：
10.1249/mss.0b013e31820ce174
发表时间：
2011-08-01
期刊：
MEDICINE AND SCIENCE IN SPORTS AND EXERCISE
影响因子：
--
作者：
Kozey-Keadle, Sarah;Libertine, Amanda;Freedson, Patty S.
通讯作者：
Freedson, Patty S.
影响因子：
5.5
作者：
Cadmus-Bertram, Lisa A.;Marcus, Bess H.;Morey, Brittany L.
通讯作者：
Morey, Brittany L.
影响因子：
4.1
作者：
Dannecker KL;Sazonova NA;Melanson EL;Sazonov ES;Browning RC
通讯作者：
Browning RC