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实验室和现场估计在循环中的关键功率具有高度一致性。

High agreement between laboratory and field estimates of critical power in cycling.

机构信息

Life and Sports Science, University of Greenwich, Chatham Maritime, United Kingdom.

Department of Sports Studies, University of Winchester, United Kingdom.

出版信息

Int J Sports Med. 2014 Apr;35(4):298-303. doi: 10.1055/s-0033-1349844. Epub 2013 Sep 10.

Abstract

The purpose of this study was to investigate the level of agreement between laboratory-based estimates of critical power (CP) and results taken from a novel field test. Subjects were fourteen trained cyclists (age 40±7 yrs; body mass 70.2±6.5 kg; VO2max 3.8±0.5 L · min-1). Laboratory-based CP was estimated from 3 constant work-rate tests at 80%, 100% and 105% of maximal aerobic power (MAP). Field-based CP was estimated from 3 all-out tests performed on an outdoor velodrome over fixed durations of 3, 7 and 12 min. Using the linear work limit (Wlim) vs. time limit (Tlim) relation for the estimation of CP1 values and the inverse time (1/t) vs. power (P) models for the estimation of CP2 values, field-based CP1 and CP2 values did not significantly differ from laboratory-based values (234±24.4 W vs. 234±25.5 W (CP1); P<0.001; limits of agreement [LOA], -10.98-10.8 W and 236±29.1 W vs. 235±24.1 W (CP2); P<0.001; [LOA], -13.88-17.3 W. Mean prediction errors for laboratory and field estimates were 2.2% (CP) and 27% (W'). Data suggest that employing all-out field tests lasting 3, 7 and 12 min has potential utility in the estimation of CP.

摘要

本研究旨在探究基于实验室的临界功率 (CP) 估计值与新颖的现场测试结果之间的一致性程度。研究对象为 14 名受过训练的自行车运动员(年龄 40±7 岁;体重 70.2±6.5kg;最大摄氧量 3.8±0.5L·min-1)。基于实验室的 CP 通过 3 项恒功试验进行估计,试验在最大有氧功率 (MAP) 的 80%、100%和 105%下进行。基于现场的 CP 通过在户外自行车场进行的 3 项全力测试进行估计,这些测试的持续时间固定为 3、7 和 12 分钟。使用线性工作极限 (Wlim) 与时间极限 (Tlim) 关系来估计 CP1 值,以及逆时间 (1/t) 与功率 (P) 模型来估计 CP2 值,现场 CP1 和 CP2 值与基于实验室的 CP1 和 CP2 值没有显著差异(CP1:234±24.4W 与 234±25.5W(P<0.001;一致性区间 [LOA],-10.98-10.8W;CP2:236±29.1W 与 235±24.1W(P<0.001;LOA,-13.88-17.3W。实验室和现场估计的平均预测误差分别为 2.2%(CP)和 27%(W')。数据表明,采用持续 3、7 和 12 分钟的全力现场测试在 CP 估计中具有潜在的应用价值。

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