The advent of portable power meters has revolutionized training in cycling, allowing an accurate field-based assessment of athletes. In a similar way, researchers have recently developed low-cost gait analysis equipment to assess running power in a more natural environment. The purpose of this study was to evaluate the absolute reliability of two different power meters and the agreement between these two wearable devices (i.e., Stryd™ and RunScribe™) for measuring power during treadmill running. About 49 endurance runners performed a running protocol on a treadmill at self-selected comfortable velocities. Power output (W) was measured using the Stryd™ and RunScribe™ systems, which were attached to the same shoe. The absolute reliability, based on coefficient of variation, was 0.32 ± 0.29% for Stryd™ and 1.68 ± 1.49% for RunScribe™, while the standard error of the mean were 0.3 ± 0.2 W and 2.6 ± 2.5 W for Stryd™ and RunScribe™, respectively. Data from both devices showed significant correlations (r = 0.783, p < 0.001) and the ICC (r = 0.855) reported an almost perfect reliability. Bland–Altman plots revealed no heteroscedasticity of error (r² = 0.030), although a moderate systematic bias (−12.3 ± 26.6 W), and wide limits of agreement (39.8–64.3 W) were found. Considering the increased popularity of using power meter devices in running, scientists, coaches, athletes, and general users should be aware that data from these devices are reliable, but not interchangeable, due to the variation shown for running power output data.

便携式功率计的问世彻底改变了骑自行车的训练方法，可以对运动员进行准确的野外评估。以类似的方式，研究人员最近开发了低成本的步态分析设备，以评估在更自然的环境中的运行功率。这项研究的目的是评估两个不同功率计的绝对可靠性，以及这两个可穿戴设备（即Stryd™和RunScribe™）在跑步机运行时测量功率的一致性。大约49位耐力跑步者在跑步机上以自行选择的舒适速度执行了跑步程序。功率输出（W）是使用Stryd™和RunScribe™系统测量的，它们被连接到同一只鞋上。根据变异系数，Stryd™的绝对可靠性为0.32±0.29％，RunScribe™的绝对可靠性为1.68±1.49％，而Stryd™和RunScribe™的平均标准误差分别为0.3±0.2 W和2.6±2.5W。两种设备的数据均显示出显着的相关性（r  = 0.783，p  <0.001）和ICC（r  = 0.855）报告了几乎完美的可靠性。布兰德-奥特曼曲线图没有显示出误差的异方差性（r ²  = 0.030），尽管发现了中等的系统偏差（-12.3±26.6 W）和一致的极限（39.8-64.3 W）。考虑到在跑步中使用功率计设备的日益普及，科学家，教练，运动员和一般用户应注意，由于显示的跑步功率输出数据存在差异，因此来自这些设备的数据是可靠的，但不可互换。