Department of Kinesiology, Recreation, and Sport Studies, The University of Tennessee, Knoxville, TN, USA.
Med Sci Sports Exerc. 2012 Apr;44(4):733-41. doi: 10.1249/MSS.0b013e3182351913.
Numerous studies have established the usefulness of pedometers and accelerometers as objective activity monitors. Under laboratory conditions, some of these devices have been shown to provide accurate and reliable measures of steps. However, limited data exist on the performance of these devices under free-living conditions.
This study aimed 1) to compare the effects of speed and body mass index (BMI) on the step count accuracy of five different accelerometer-based activity monitors and a pedometer during treadmill walking, 2) to compare the performance of these devices in a free-living environment, and 3) to compare the step counts of three generations of a single device (ActiGraph) against a criterion method.
Fifty-six individuals wore six activity monitors while performing treadmill walking (40, 54, 67, 80, and 94 m·min⁻¹) and during 1 d of free-living activity. The criterion measure of steps during treadmill walking was investigator-determined steps, whereas the criterion measure of steps during the free-living condition was the StepWatch.
BMI had no effect on step count accuracy during treadmill walking. The StepWatch, activPAL™, and the AG7164 were the most accurate across all speeds, whereas the remaining devices were only accurate at 67 m·min⁻¹ and faster. In the free-living environment, the AG7164 recorded 99.5% ± 27% (mean ± SD) of StepWatch-determined steps.
We demonstrated that BMI does not affect the step output of commonly used activity monitors during walking. In addition, 67 m·min⁻¹ seems to be the minimum speed required for accurate step counting, at least for most waist-mounted activity monitors. Finally, the StepWatch, AG7164, and activPAL™ were the most accurate devices on the TM, but only the AG7164 yielded comparable step counts to the StepWatch in the free-living environment.
大量研究已经证实计步器和加速度计作为客观活动监测器的有用性。在实验室条件下,这些设备中的一些已经被证明能够提供准确和可靠的步数测量。然而,关于这些设备在自由生活条件下的性能的数据有限。
本研究旨在 1)比较五种不同基于加速度计的活动监测器和计步器在跑步机行走时速度和体重指数(BMI)对步数准确性的影响,2)比较这些设备在自由生活环境中的性能,以及 3)比较单个设备(ActiGraph)三代的步数与标准方法。
56 名个体在进行跑步机行走(40、54、67、80 和 94 m·min⁻¹)和 1 天自由生活活动时佩戴 6 个活动监测器。跑步机行走时的标准步数测量方法是由研究者确定的步数,而自由生活条件下的标准步数测量方法是 StepWatch。
BMI 对跑步机行走时的步数准确性没有影响。在所有速度下,StepWatch、activPAL™和 AG7164 的准确性最高,而其余设备仅在 67 m·min⁻¹及更快速度下准确。在自由生活环境中,AG7164 记录了 99.5%±27%(平均值±标准差)的 StepWatch 确定的步数。
我们证明了 BMI 不会影响步行时常用活动监测器的步数输出。此外,67 m·min⁻¹似乎是准确计数步数所需的最低速度,至少对于大多数腰部佩戴的活动监测器来说是这样。最后,在 TM 上,StepWatch、AG7164 和 activPAL™是最准确的设备,但只有 AG7164 在自由生活环境中产生了与 StepWatch 相当的步数。