Are we ready to measure running power? Repeatability and concurrent validity of five commercial technologies

重复性 组内相关 同时有效性 统计 标准误差 线性回归 数学 单调的工作 模拟 一致相关系数 变异系数 可靠性(半导体) 相关系数 计算机科学 物理疗法 功率(物理) 医学 再现性 心理测量学 物理 量子力学 内部一致性
作者
Víctor Cerezuela‐Espejo,Alejandro Hernández‐Belmonte,Javier Courel‐Ibáñez,Elena Conesa‐Ros,Ricardo Mora‐Rodríguez,Jesús G. Pallarés
出处
期刊:European Journal of Sport Science [Informa]
卷期号:21 (3): 341-350 被引量:56
标识
DOI:10.1080/17461391.2020.1748117
摘要

Training prescription in running activities have benefited from power output (PW) data obtained by new technologies. Nevertheless, to date, the suitability of PW data provided by these tools is still uncertain. The present study aimed to: (i) analyze the repeatability of five commercially available technologies for running PW estimation, and (ii) examine the concurrent validity through the relationship between each technology PW and oxygen uptake (VO2). On two occasions (test-retest), twelve endurance-trained male athletes performed on a treadmill (indoor) and an athletic track (outdoor) three submaximal running protocols with manipulations in speed, body weight and slope. PW was simultaneously registered by the commercial technologies StrydApp, StrydWatch, RunScribe, GarminRP and PolarV, while VO2 was monitored by a metabolic cart. Test-retest data from the environments (indoor and outdoor) and conditions (speed, body weight and slope) were used for repeatability analysis, which included the standard error of measurement (SEM), coefficient of variation (CV) and intraclass correlation coefficient (ICC). A linear regression analysis and the standard error of estimate (SEE) were used to examine the relationship between PW and VO2. Stryd device was found as the most repeatable technology for all environments and conditions (SEM ≤ 12.5 W, CV ≤ 4.3%, ICC ≥ 0.980), besides the best concurrent validity to the VO2 (r ≥ 0.911, SEE ≤ 7.3%). On the contrary, although the PolarV, GarminRP and RunScribe technologies maintain a certain relationship with VO2, their low repeatability questions their suitability. The Stryd can be considered as the most recommended tool, among the analyzed, for PW measurement.
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