Jurov Iva, Cvijić Marta, Toplišek Janez
Clinical Institute of Occupational, Traffic and Sports Medicine, University Medical Centre Ljubljana, Ljubljana, Slovenia.
Department of Cardiology, University Medical Centre Ljubljana, Ljubljana, Slovenia.
Front Physiol. 2023 Feb 6;14:987006. doi: 10.3389/fphys.2023.987006. eCollection 2023.
Predicting VO in athletes is vital for determining endurance capacity, for performance monitoring, in clinical diagnostic procedures, and for disease management. This study aimed to assess the most suitable equation for predicting VO in competitive cyclists. Competitive cyclists (496 males, 84 females, Caucasian, 580 total) were included in the study from 1 January 2014 to 31 December 2019. Only subjects who were actively participating in national or international competitions and who were registered competitive cyclists and part of cycling teams at the time of the measurements were included. Subjects performed an incremental test on a cycle ergometer, and VO was measured as indicated by a plateau in VO. In addition, four prediction equations (the FRIEND, Storer, Fairbarn, and Jones) were used to estimate VO. The predicted VO using the FRIEND equation was in good agreement with the measured VO in male and female athletes. This was reflected by a high correlation with = 0.684 for men and = 0.897 for women ( = 0.000), with ICC = 0.568 (95% CI 0.184, 0.752) for men and ICC = 0.881 (95% CI 0.813, 0.923) for women. Total error was 1.56 and 1.48 ml/min/kg and a minimal bias of-3.6 and -1.1 ml/min/kg (men and women, respectively). Using other equations resulted in a slight decline in agreement with the measured standard. The FRIEND equation predicted VO accurately with small total error, small prediction errors, and with the smallest constant error in our study cohort, indicating the potential value of using FRIEND equation also in competitive cyclists. This equation proved to have the highest accuracy both in male and female cyclists.
预测运动员的最大摄氧量（VO₂max）对于确定耐力水平、进行运动表现监测、临床诊断程序以及疾病管理至关重要。本研究旨在评估预测竞技自行车运动员VO₂max的最合适方程。从2014年1月1日至2019年12月31日，共纳入了580名竞技自行车运动员（496名男性，84名女性，均为白种人）。仅纳入了在测量时积极参加国家或国际比赛、注册为竞技自行车运动员且属于自行车队的受试者。受试者在自行车测力计上进行递增测试，并根据VO₂max的平台期测量VO₂max。此外，使用了四个预测方程（FRIEND、Storer、Fairbarn和Jones）来估计VO₂max。使用FRIEND方程预测的VO₂max与男女运动员测量的VO₂max高度一致。男性的相关系数r = 0.684，女性的r = 0.897（P = 0.000），男性的组内相关系数ICC = 0.568（95%可信区间0.184，0.752），女性的ICC = 0.881（95%可信区间0.813，0.923）。总误差分别为男性1.56 ml/min/kg和女性1.48 ml/min/kg，最小偏差分别为男性-3.6 ml/min/kg和女性-1.1 ml/min/kg。使用其他方程时，与测量标准的一致性略有下降。在我们的研究队列中，FRIEND方程预测VO₂max准确，总误差小、预测误差小且恒定误差最小，表明在竞技自行车运动员中使用FRIEND方程也具有潜在价值。该方程在男女自行车运动员中均具有最高的准确性。
