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在不同时间间隔测量时,跑步时的功率如何变化?

How Does Power During Running Change when Measured at Different Time Intervals?

机构信息

Department of Physical Education, Sports and Recreation, Universidad de La Frontera, Temuco, Chile.

Sport and Physical Education, Universidad de Granada, Granada, Spain.

出版信息

Int J Sports Med. 2019 Sep;40(9):609-613. doi: 10.1055/a-0946-2159. Epub 2019 Jul 11.

DOI:10.1055/a-0946-2159
PMID:31295744
Abstract

This study aimed to examine how the power output changes while running at a continuous comfortable velocity on a motorized treadmill by comparing running power averaged during different time intervals. Forty-nine endurance runners performed a running protocol on a treadmill at self-selected comfortable velocity. Power output (W) was estimated with the Stryd power meter, and it was examined over six recording intervals within the 3-min recording period: 0-10 s, 0-20 s, 0-30 s, 0-60 s, 0-120 s and 0-180 s. The ANOVAs showed no significant differences in the magnitude of the power output between the recording intervals (p=0.276, F=1.614, partial Eta =0.155). An almost perfect association was also observed in the magnitude of the power output between the recording intervals (ICC≥0.999). Bland-Altman plots revealed no heteroscedasticity of error for the power output in any of the between-intervals comparisons (r <0.1), although longer recording intervals yield smaller systematic bias, random errors, and narrower limits of agreement for power output. The results show that power data during running, as measured through the Stryd™ system, is a stable metric with negligible differences, in practical terms, between shorter (i. e., 10, 20, 30, 60 or 120 s) and longer recording intervals (i. e., 180 s).

摘要

本研究旨在通过比较在电动跑步机上以连续舒适速度跑步时不同时间间隔内的平均跑步功率,来检查跑步时的功率输出变化情况。49 名耐力跑者在跑步机上以自我选择的舒适速度完成跑步方案。使用 Stryd 功率计估计功率输出(W),并在 3 分钟记录期间的六个记录间隔内检查功率输出:0-10s、0-20s、0-30s、0-60s、0-120s 和 0-180s。ANOVA 显示记录间隔之间的功率输出大小没有显著差异(p=0.276,F=1.614,部分 η²=0.155)。在记录间隔之间,功率输出的大小也观察到几乎完美的相关性(ICC≥0.999)。Bland-Altman 图显示,在任何间隔比较中,功率输出的误差都没有异方差(r<0.1),尽管较长的记录间隔会产生较小的系统偏差、随机误差和更窄的功率输出一致性界限。结果表明,通过 Stryd™系统测量的跑步过程中的功率数据是一个稳定的指标,在实际应用中,较短(即 10、20、30、60 或 120s)和较长(即 180s)记录间隔之间的功率数据几乎没有差异。

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