University Lille Nord de France, Lille, France.
J Strength Cond Res. 2011 May;25(5):1393-9. doi: 10.1519/JSC.0b013e3181d67fd6.
Prediction of time to exhaustion in competitive cyclists from a perceptually based scale. We have tested the validity of the estimated time limit (ETL) scale to predict an exhaustion time (T(lim)) from values stemming from incremental and randomized constant workloads tests on a cycle ergometer. Twenty-five cyclists performed 1 continuous incremental test, 1 discontinuous test with randomized workloads, and 1 constant power output test at 90% of maximal aerobic power (MAP) to exhaustion. Estimated time limits at 90% MAP during the incremental test and the test with randomized workloads were calculated from exponential relationships between power and ETL using the same 4 workloads. Real measured T(lim) during the constant power output test was converted into ETL values (called measured ETL). The differences between the calculated and measured ETLs were examined. Estimated time limits calculated at 90% MAP during the incremental and randomized tests corresponded to 14 minutes 56 seconds and 10 minutes 14 seconds, whereas measured ETL was equal to 11 minutes 19 seconds ± 3 minutes 40 seconds. The results showed a nonsignificant difference between calculated and measured ETLs. However, the mean differences between the measured ETL values during the constant test performed at the same intensity were -1.3 ± 2.9 and 0.3 ± 3.0 for the incremental and the randomized constant workloads tests, respectively. Consequently, the use of ETL calculated at 90% MAP during the test with randomized constant workloads may be preferable to predict the accurate T(lim). Moreover, it would seem that high-level cyclists, who were more consciously attuned to their bodies and their own effort sense, were more accurate in their prediction than low-level cyclists. It is concluded that the randomized constant workloads test that is both shorter and less strenuous would be more convenient for high-level athletes.
基于感知的量表预测竞技自行车手的疲劳时间。我们已经测试了估计时间限制(ETL)量表的有效性,该量表可以根据递增和随机恒定工作量测试在自行车测功仪上得出的值来预测疲劳时间(T(lim))。25 名自行车手进行了 1 次连续递增测试、1 次随机工作量的不连续测试和 1 次在最大有氧功率(MAP)的 90%下的恒定功率输出测试直至疲劳。递增测试和随机工作量测试中 90%MAP 时的估计时间限制是通过功率和 ETL 之间的指数关系计算得出的,使用相同的 4 个工作量。在恒定功率输出测试中实际测量的 T(lim)转换为 ETL 值(称为测量 ETL)。检查了计算和测量 ETL 之间的差异。递增和随机测试中 90%MAP 时计算的估计时间限制分别对应 14 分 56 秒和 10 分 14 秒,而测量的 ETL 等于 11 分 19 秒±3 分 40 秒。结果显示计算和测量的 ETL 之间没有显著差异。然而,在相同强度下进行的恒定测试中测量 ETL 值之间的平均差异分别为递增和随机恒定工作量测试中的-1.3±2.9 和 0.3±3.0。因此,在随机恒定工作量测试中使用计算的 90%MAP 时的 ETL 预测可能更准确。此外,高水平自行车手似乎比低水平自行车手更准确地预测自己的疲劳时间,因为他们更能自觉地感知自己的身体和自身的努力感。结论是,较短且不那么费力的随机恒定工作量测试对高水平运动员来说更方便。