School of Psychology and Life Sciences, Faculty of Science, Engineering and Social Sciences, Canterbury Christ Church University, Canterbury, United Kingdom.
Human Physiology and Sports Physiotherapy Research Group, Faculty of Physical Education and Physiotherapy, Vrije Universiteit Brussel, Pleinlaan Brussels, Belgium.
Int J Sports Med. 2022 Dec;43(14):1190-1195. doi: 10.1055/a-1848-8478. Epub 2022 May 10.
This study aimed to analyse the reproducibility of mean power output during 20-min cycling time-trials, in a remote home-based setting, using the virtual-reality cycling software, Zwift. Forty-four cyclists (11 women, 33 men; 37±8 years old, 180±8 cm, 80.1±13.2 kg) performed 3×20-min time-trials on Zwift, using their own setup. Intra-class correlation coefficient (ICC), coefficient of variation (CV) and typical error (TE) were calculated for the overall sample, split into 4 performance groups based on mean relative power output (25% quartiles) and sex. Mean ICC, TE and CV of mean power output between time-trials were 0.97 [0.95-0.98], 9.4 W [8.0-11.3 W], and 3.7% [3.2-4.5], respectively. Women and men had similar outcomes (ICC: 0.96 [0.89-0.99] vs. 0.96 [0.92-0.98]; TE: 8.3 W [6.3-13.1] vs. 9.7 W [8.2-12.2]; CV: 3.8% [2.9-6.1] vs. 3.7% [3.1-4.7], respectively), although cyclists from the first quartile showed a lower CV in comparison to the overall sample (Q1: 2.6% [1.9-4.1] vs. overall: 3.7% [3.2-4.5]). Our results indicate that power output during 20-min cycling time-trials on Zwift are reproducible and provide sports scientists, coaches and athletes, benchmark values for future interventions in a virtual-reality environment.
本研究旨在分析在远程家庭环境中，使用虚拟现实自行车软件 Zwift 进行 20 分钟自行车计时赛时平均功率输出的可重复性。44 名自行车手（11 名女性，33 名男性；37±8 岁，180±8cm，80.1±13.2kg）使用自己的设置在 Zwift 上进行了 3 次 20 分钟计时赛。对整个样本以及根据平均相对功率输出（25%四分位数）和性别分为 4 个表现组的样本，计算了组内相关系数（ICC）、变异系数（CV）和典型误差（TE）。3 次计时赛之间平均功率输出的平均 ICC、TE 和 CV 分别为 0.97[0.95-0.98]、9.4W[8.0-11.3W]和 3.7%[3.2-4.5]。女性和男性的结果相似（ICC：0.96[0.89-0.99]与 0.96[0.92-0.98]；TE：8.3W[6.3-13.1]与 9.7W[8.2-12.2]；CV：3.8%[2.9-6.1]与 3.7%[3.1-4.7]），尽管第一四分位组的自行车手与整个样本相比 CV 较低（Q1：2.6%[1.9-4.1]与总体：3.7%[3.2-4.5]）。我们的结果表明，在 Zwift 上进行 20 分钟自行车计时赛时的功率输出具有可重复性，为未来在虚拟现实环境中进行干预提供了运动科学家、教练和运动员的基准值。
