Department of Physical Education and Health, Faculty in Biala Podlaska, Jozef Pilsudski University of Physical Education in Warsaw, 21-500 Biala Podlaska, Poland.
3rd Department of Internal Medicine and Cardiology, Medical University of Warsaw, 02-091 Warsaw, Poland.
Int J Environ Res Public Health. 2022 Feb 6;19(3):1830. doi: 10.3390/ijerph19031830.
Cardiopulmonary exercise testing (CPET) on a treadmill (TE) or cycle ergometry (CE) is a common method in sports diagnostics to assess athletes' aerobic fitness and prescribe training. In a triathlon, the gold standard is performing both CE and TE CPET. The purpose of this research was to create models using CPET results from one modality to predict results for the other modality. A total of 152 male triathletes (age = 38.20 ± 9.53 year; BMI = 23.97 ± 2.10 kg·m) underwent CPET on TE and CE, preceded by body composition (BC) analysis. Speed, power, heart rate (HR), oxygen uptake (VO), respiratory exchange ratio (RER), ventilation (VE), respiratory frequency (fR), blood lactate concentration (LA) (at the anaerobic threshold (AT)), respiratory compensation point (RCP), and maximum exertion were measured. Random forests (RF) were used to find the variables with the highest importance, which were selected for multiple linear regression (MLR) models. Based on R and RF variable selection, MLR equations in full, simplified, and the most simplified forms were created for VO, HR, VO, HR, VO, and HR for CE (R = 0.46-0.78) and TE (R = 0.59-0.80). By inputting only HR and power/speed into the RF, MLR models for practical HR calculation on TE and CE (both R = 0.41-0.75) were created. BC had a significant impact on the majority of CPET parameters. CPET parameters can be accurately predicted between CE and TE testing. Maximal parameters are more predictable than submaximal. Only HR and speed/power from one testing modality could be used to predict HR for another. Created equations, combined with BC analysis, could be used as a method of choice in comprehensive sports diagnostics.
心肺运动测试(CPET)在跑步机(TE)或功率自行车上进行,是运动诊断中评估运动员有氧适能并制定训练计划的常用方法。在铁人三项运动中,金标准是同时进行 CE 和 TE 的 CPET。本研究的目的是使用一种模式的 CPET 结果创建模型,以预测另一种模式的结果。共有 152 名男性铁人三项运动员(年龄=38.20±9.53 岁;BMI=23.97±2.10kg·m)接受了 TE 和 CE 上的 CPET,此前进行了身体成分(BC)分析。测量了速度、功率、心率(HR)、摄氧量(VO)、呼吸交换比(RER)、通气(VE)、呼吸频率(fR)、血乳酸浓度(LA)(在无氧阈(AT)时)、呼吸补偿点(RCP)和最大用力。随机森林(RF)用于找到最重要的变量,然后选择这些变量进行多元线性回归(MLR)模型。根据 R 和 RF 变量选择,为 CE(R=0.46-0.78)和 TE(R=0.59-0.80)创建了 VO、HR、VO、HR、VO 和 HR 的完整、简化和最简形式的 MLR 方程。通过仅将 HR 和功率/速度输入 RF,为 TE 和 CE 上的实用 HR 计算创建了 MLR 模型(两者 R=0.41-0.75)。BC 对大多数 CPET 参数有显著影响。CE 和 TE 测试之间的 CPET 参数可以准确预测。最大参数比次最大参数更可预测。仅从一种测试模式的 HR 和速度/功率就可以预测另一种模式的 HR。创建的方程,结合 BC 分析,可以作为综合运动诊断的首选方法。