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一种新型亚最大强度循环测试,用于监测疲劳和预测自行车运动表现。

A novel submaximal cycle test to monitor fatigue and predict cycling performance.

机构信息

UCT/MRC Research Unit for Exercise Science and Sports Medicine, Department of Human Biology, University of Cape Town, Sport Science Institute of South Africa, Newlands 7725, South Africa.

出版信息

Br J Sports Med. 2011 Aug;45(10):797-804. doi: 10.1136/bjsm.2009.061325. Epub 2009 Jul 20.

DOI:10.1136/bjsm.2009.061325
PMID:19622525
Abstract

OBJECTIVE

The purpose of this study was to determine the reliability and predictive value of performance parameters, measured by a new novel submaximal cycle protocol, on peak power and endurance cycling performance in well-trained cyclists.

METHODS

Seventeen well-trained competitive male road racing cyclists completed four peak power output (PPO) tests and four 40-km time trials (40-km TT). Before each test, all cyclists performed a novel submaximal cycle test (Lamberts and Lambert Submaximal Cycle Test (LSCT)). Parameters associated with performance such as power, speed, cadence and rating of perceived exertion (RPE) were measured during the three stages of the test when cyclists rode at workloads coinciding with fixed predetermined heart rates. Heart rate recovery (HRR) was measured after the last stage of the test.

RESULTS

Parameters measured during the second and third stages of the LSCT were highly reliable (intraclass correlation range: R=0.85-1.00) with low typical error of measurements (range: 1.3-4.4%). Good relationships were found between the LSCT and cycling performance measured by the PPO and 40-km TT tests. Mean power had stronger relationships with measures of cycling performance during the second (r=0.80-0.89) and third stages (r=0.91-0.94) of the LSCT than HRR (r=0.55-0.68).

CONCLUSIONS

The LSCT is a reliable novel test which is able to predict peak and endurance cycling performance from submaximal power, RPE and HRR in well-trained cyclists. As these parameters are able to detect meaningful changes more accurately than VO(2max), the LSCT has the potential to monitor cycling performance with more precision than other current existing submaximal cycle protocols.

摘要

目的

本研究旨在确定通过新的亚极量自行车测试方案测量的运动表现参数的可靠性和预测价值,以预测优秀自行车运动员的峰值功率和耐力自行车运动表现。

方法

17 名优秀的男性公路赛车自行车运动员完成了 4 次峰值功率输出(PPO)测试和 4 次 40km 计时赛(40-km TT)。在每次测试之前,所有自行车运动员都进行了新的亚极量自行车测试(Lamberts 和 Lambert 亚极量自行车测试(LSCT))。当自行车运动员在与固定预定心率对应的工作负荷下骑行时,测试的三个阶段会测量与运动表现相关的参数,如功率、速度、踏频和感知用力等级(RPE)。在测试的最后阶段后,还测量了心率恢复(HRR)。

结果

LSCT 第二和第三阶段测量的参数具有高度可靠性(组内相关系数范围:R=0.85-1.00),测量的典型误差低(范围:1.3-4.4%)。LSCT 与 PPO 和 40-km TT 测试测量的自行车运动表现之间存在良好的关系。在 LSCT 的第二(r=0.80-0.89)和第三阶段(r=0.91-0.94)期间,平均功率与自行车运动表现的关系比 HRR(r=0.55-0.68)更强。

结论

LSCT 是一种可靠的新型测试,能够从优秀自行车运动员的亚极量功率、RPE 和 HRR 预测峰值和耐力自行车运动表现。由于这些参数比 VO2max 更能准确地检测到有意义的变化,因此 LSCT 有可能比其他现有的亚极量自行车测试方案更精确地监测自行车运动表现。

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