UCT/MRC Research Unit for Exercise Science and Sports Medicine, University of Cape Town, Newlands, South Africa, and the Division of Orthopaedic Surgery, Stellenbosch University, Tygerberg, South Africa.
Int J Sports Physiol Perform. 2014 Jul;9(4):610-4. doi: 10.1123/ijspp.2013-0040a. Epub 2013 Sep 30.
In high-performance cycling, it is important to maintain a healthy balance between training load and recovery. Recently a new submaximal cycle test, known as the Lamberts and Lambert Submaximal Cycle Test (LSCT), has been shown to be able to accurately predict cycling performance in 15 well-trained cyclists. The aim of this study was to determine the predictive value of the LSCT in 102 trained to elite cyclists (82 men and 20 women). All cyclists performed an LSCT test followed by a peak-power-output (PPO) test, which included respiratory-gas analysis for the determination of maximal oxygen consumption (VO(2max)). They then performed the LSCT test followed by a 40-km time trial (TT) 72 h later. Average power output during the 3 stages of the LSCT increased from 31%, 60%, and 79% of PPO, while the ratings of perceived exertion increased from 8 to 13 to 16. Very good relationships were found between actual and LSCT-predicted PPO (r = .98, 95%CI: .97-.98, P < .0001), VO(2max) (r = .96, 95%CI: .97-.99, P < .0001) and 40-km-TT time (r = .98, 95%CI: .94-.97, P < .0001). No gender differences were found when predicting cycling performance from the LSCT (P = .95). The findings of this study show that the LSCT is able to accurately predict cycling performance in trained to elite male and female cyclists and potentially can be used to prescribe and fine-tune training prescription in cycling.
在高性能自行车运动中，保持训练负荷和恢复之间的健康平衡非常重要。最近，一种新的亚极量自行车测试，称为兰伯茨和兰伯特定量自行车测试（LSCT），已被证明能够准确预测 15 名训练有素的自行车运动员的运动表现。本研究的目的是确定 LSCT 在 102 名训练有素的精英自行车运动员（82 名男性和 20 名女性）中的预测价值。所有自行车运动员都进行了 LSCT 测试，随后进行了最大功率输出（PPO）测试，其中包括呼吸气体分析以确定最大摄氧量（VO2max）。然后，他们在 72 小时后进行 LSCT 测试，随后进行 40 公里计时赛（TT）。LSCT 测试的 3 个阶段的平均功率输出分别增加了 31%、60%和 79%，而感知的努力程度则从 8 增加到 13 到 16。LSCT 预测的 PPO（r =.98，95%CI：.97-.98，P <.0001）、VO2max（r =.96，95%CI：.97-.99，P <.0001）和 40 公里 TT 时间（r =.98，95%CI：.94-.97，P <.0001）与实际值之间存在非常好的关系。当从 LSCT 预测自行车运动表现时，没有发现性别差异（P =.95）。本研究结果表明，LSCT 能够准确预测训练有素的男性和女性自行车运动员的自行车运动表现，并且可能可以用于制定和微调自行车运动的训练处方。
