Abel Mark G, Hannon James C, Sell Katie, Lillie Tia, Conlin Geri, Anderson David
Department of Exercise and Sport Science, University of Utah, Salt Lake City, UT 84105, USA.
Appl Physiol Nutr Metab. 2008 Dec;33(6):1155-64. doi: 10.1139/h08-103.
Accelerometer-based activity monitors are commonly used by researchers and clinicians to assess physical activity. Recently, the Kenz Lifecorder EX (KL) and ActiGraph GT1M (AG) accelerometers have been made commercially available, but there is limited research on the validity of these devices. Therefore, we sought to validate step count, activity energy expenditure (EE), and total EE output from the KL and AG during treadmill walking and running. Ten male and 10 female participants performed 10 min treadmill walking and running trials, at speeds of 54, 80, 107, 134, 161, and 188 m.min-1. Step counts were hand tallied by 2 observers, and indirect calorimetry was used to validate the accelerometers' estimates of EE. AG total EE was calculated using the Freedson equation. Analysis of variance (ANOVA) and Pearson's correlations were used to analyze the data. At the slowest walking speed, the AG and KL counted 64% +/- 15% and 92% +/- 6% of the observed steps, respectively. At all other treadmill speeds, both activity monitors undercounted, compared with observed steps, by < or =3%. The KL underestimated activity EE at faster running speeds (p < 0.01), overestimated total EE at some walking speeds, and underestimated total EE at some running speeds (p < 0.01). The Freedson equation inaccurately measured total EE at most walking and running speeds. The KL and the AG are moderately priced accelerometers that provide researchers and clinicians with accurate estimates of step counts and activity EE at most walking and running speeds.
基于加速度计的活动监测器被研究人员和临床医生广泛用于评估身体活动。最近,Kenz Lifecorder EX(KL)和ActiGraph GT1M(AG)加速度计已投入商业使用,但关于这些设备有效性的研究有限。因此,我们试图验证KL和AG在跑步机行走和跑步过程中的步数、活动能量消耗(EE)以及总EE输出。10名男性和10名女性参与者以54、80、107、134、161和188米·分钟-1的速度进行了10分钟的跑步机行走和跑步试验。由2名观察者手动计数步数,并使用间接量热法验证加速度计对EE的估计。AG的总EE使用Freedson方程计算。采用方差分析(ANOVA)和Pearson相关性分析数据。在最慢的行走速度下,AG和KL分别计录了观察步数的64%±15%和92%±6%。在所有其他跑步机速度下,与观察步数相比,两种活动监测器的计数均少计了≤3%。KL在较快的跑步速度下低估了活动EE(p<0.01),在某些行走速度下高估了总EE,而在某些跑步速度下低估了总EE(p<0.01)。Freedson方程在大多数行走和跑步速度下都不准确地测量了总EE。KL和AG是价格适中的加速度计,在大多数行走和跑步速度下能为研究人员和临床医生提供准确的步数和活动EE估计。