Spragg James, Leo Peter, Swart Jeroen
HPALS, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, SOUTH AFRICA.
Department of Sport Science, Division of Performance Physiology and Prevention, University of Innsbruck, Innsbruck, AUSTRIA.
Med Sci Sports Exerc. 2023 Jan 1;55(1):133-140. doi: 10.1249/MSS.0000000000003024. Epub 2022 Aug 12.
This study aimed to determine if durability can be predicted from laboratory measures in a professional cycling population.
Data were collected from 10 professional cyclists (age = 19.2 ± 0.8 yr, body mass = 70.4 ± 5.5 kg, height = 182.9 ± 4.0 cm, body mass index = 21.0 ± 1.3 kg·m -2 , V̇O 2max = 74.4 ± 4.8 mL·kg -1 ·min -1 , critical power [CP] = 5.6 ± 0.6 W·kg -1 , W' = 23.7 ± 5.4 kJ). Participants completed a laboratory test and a CP test on two occasions. The second occasion was preceded by a novel fatiguing protocol, which consisted of five bouts of 8-min of exercise at 105%-110% of CP. CP in a fatigued state was expressed as a percentage of the fresh CP and coined delta CP (∆CP). The Pearson product correlation analysis was conducted to determine the relationship between laboratory-based measures and ∆CP.
Significant positive relationships were found between ∆CP and relative peak power output ( r = 0.891, P < 0.001), relative maximum oxygen uptake ( r = 0.835, P = 0.003), relative power output at the second ventilatory threshold ( r = 0.738, P = 0.015), power output at the first ventilatory threshold ( r = 0.748, P = 0.013) and relative power output at the first ventilatory threshold ( r = 0.826, P = 0.003), gross efficiency at 300 W ( r = 0.869, P = 0.001), and at 200 W ( r = 0.792, P = 0.006). Significant negative relationships were found between ∆CP and carbohydrate oxidation at 200 W ( r = -0.702, P = 0.024). A multiple linear regression demonstrated that ∆CP can be predicted from laboratory measures ( R2 = 0.96-0.98, P < 0.001).
These findings demonstrate the physiological determinants of durability in a professional cycling population.
本研究旨在确定能否通过实验室测量来预测职业自行车运动员的耐力。
收集了10名职业自行车运动员的数据（年龄 = 19.2 ± 0.8岁，体重 = 70.4 ± 5.5千克，身高 = 182.9 ± 4.0厘米，体重指数 = 21.0 ± 1.3千克·米-2，最大摄氧量 = 74.4 ± 4.8毫升·千克-1·分钟-1，临界功率[CP] = 5.6 ± 0.6瓦·千克-1，W' = 23.7 ± 5.4千焦）。参与者在两个场合完成了一项实验室测试和一项CP测试。第二次测试前采用了一种新的疲劳方案，该方案包括五组8分钟的运动，运动强度为CP的105%-110%。疲劳状态下的CP表示为新鲜CP的百分比，并命名为δCP（∆CP）。进行Pearson积差相关分析以确定基于实验室的测量与∆CP之间的关系。
发现∆CP与相对峰值功率输出之间存在显著正相关（r = 0.891，P < 0.001），与相对最大摄氧量之间存在显著正相关（r = 0.835，P = 0.003），与第二通气阈值时的相对功率输出之间存在显著正相关（r = 0.738，P = 0.015），与第一通气阈值时的功率输出之间存在显著正相关（r = 0.748，P = 0.013）以及与第一通气阈值时的相对功率输出之间存在显著正相关（r = 0.826，P = 0.003），300瓦时的总效率（r = 0.869，P = 0.001）以及200瓦时的总效率（r = 0.792，P = 0.006）。发现∆CP与200瓦时的碳水化合物氧化之间存在显著负相关（r = -0.702，P = 0.024）。多元线性回归表明，可以通过实验室测量来预测∆CP（R2 = 0.96 - 0.98，P < 0.001）。
这些发现证明了职业自行车运动员耐力的生理决定因素。
