School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK.
Trainer Group, Team DSM, Deventer, Netherlands.
Eur J Sport Sci. 2023 Jul;23(7):1085-1093. doi: 10.1080/17461391.2022.2095307. Epub 2022 Jul 17.
The aim of this study was to evaluate a field-based approach to determine torque-cadence and power-cadence profiles in professional cyclists and establish if this field-based protocol can differentiate between varying rider specialisations. Twenty-four male professional athletes from a World Tour cycling team participated in this investigation (Height = 1.84 ± 0.05 m, Weight = 72.3 ± 5.6 kg, Age = 25 ± 4 y). All riders were subsequently categorised into the following groups: 1) General Classification (GC) group; 2) sprinter group; and 3) classics group. All participants completed a specific sprint protocol in the field which included 6 times 6s sprints with varying gearing, starting cadences, starting speeds and position (i.e. seated standing). Power-cadence and torque-cadence profiles were determined based on the sprint outputs. There was a significant main effect of rider specialisation on the measured (sprint) variables (≤0.03). Body weight, maximum power outputs (1s, 10s and modelled) and maximum torque were highest in the sprinter group, followed by the classics group, followed by the GC group. The protocol was able to differentiate between different rider specialisations (i.e. GC, sprinters, classics). The proposed methodology can contribute to individualising training content in the short-duration domain.Commercially available power metres can be used to assess power-cadence and torque cadence relationships in the fieldKey differences are present for the modelled parameters between cyclists of different specialisationsProfiling a cyclist's power-cadence and torque-cadence relationship provides greater insight into the physiological mechanisms behind maximal power production.
本研究旨在评估一种基于现场的方法,以确定职业自行车手的扭矩-转速和功率-转速曲线,并确定该现场协议是否可以区分不同的骑手专业化。来自世界巡回自行车队的 24 名男性职业运动员参加了这项调查(身高=0.05 米,体重=72.3±5.6 公斤,年龄=25±4 岁)。所有骑手随后被分为以下组别:1)总成绩(GC)组;2)冲刺组;和 3)古典组。所有参与者都在现场完成了一项特定的冲刺协议,包括 6 次 6 秒冲刺,使用不同的齿轮比、起始转速、起始速度和位置(即坐姿-站立)。根据冲刺输出确定功率-转速和扭矩-转速曲线。骑手专业化对测量变量(冲刺)有显著的主要影响(≤0.03)。体重、最大输出功率(1 秒、10 秒和模拟)和最大扭矩在冲刺组最高,其次是古典组,最后是 GC 组。该方案能够区分不同的骑手专业化(即 GC、冲刺手、古典)。所提出的方法可以为短期训练内容的个体化做出贡献。商用功率计可用于评估现场的功率-转速和扭矩-转速关系。不同专业化的自行车运动员之间的模型参数存在显著差异。分析自行车运动员的功率-转速和扭矩-转速关系可以更深入地了解最大功率产生背后的生理机制。