Faculty of Cosmetology, Warsaw College of Engineering and Health, Bitwy Warszawskiej 1920 Street 18, 02-366 Warsaw, Poland.
Institute of Sport Sciences, Jerzy Kukuczka Academy of Physical Education in Katowice, Mikołowska Street 72a, 40-065 Katowice, Poland.
Int J Environ Res Public Health. 2022 Mar 26;19(7):3951. doi: 10.3390/ijerph19073951.
The purpose of the study was to assess the impact of training on the physiological variables achieved during the test effort in the macrocycle of road cyclists and their use in the maximal oxygen uptake (VOmax) prediction at individual training stages in the VOmax test. Nine well-trained male cyclists (age 25.6 ± 5.2 years and body weight 72.4 ± 7.35 kg) participated in the study and each phase of the macrocycle was followed by a time to exhaustion test (TTE) on the bicycle ergometer. The research showed that training loads significantly influence the maximum power (PPO), ventilation (VE) in the preparatory period (T1), time of the test (TTmax) at the start of the competition period (T2), percentage of body fat in total body weight (%FAT) and skeletal muscle mass (MMS) during the competition period (T3). Of the 16 variables taken for the analysis of the principal components (PC), the regression model determined one principal variable responsible for VOmax in the training macrocycle of cyclists, the relative value of maximum power (PPO) and the accompanying variables in individual periods: breathing frequency (BF), delta blood lactate concentration (ΔLA), body fat (FAT) and MMS. Determining PC influencing the exercise capacity can be crucial in achieving the intended goals by athletes. Monitoring these indicators can help protect the health of professional athletes and provide guidelines in the training process, stimulate the body properly while protecting against overtraining.
本研究的目的是评估训练对公路自行车手在大周期测试中所达到的生理变量的影响,以及这些变量在最大摄氧量(VOmax)测试中个体训练阶段 VOmax 预测中的应用。9 名训练有素的男性自行车手(年龄 25.6±5.2 岁,体重 72.4±7.35 公斤)参加了这项研究,每个大周期阶段后都要在自行车测功仪上进行一次力竭时间测试(TTE)。研究表明,训练负荷显著影响最大功率(PPO)、预备期的通气量(VE)(T1)、竞赛期开始时的测试时间(TTmax)(T2)、竞赛期的体脂百分比(%FAT)和骨骼肌质量(MMS)(T3)。在对主要成分(PC)进行分析的 16 个变量中,回归模型确定了一个主要变量,该变量负责自行车手训练大周期中的 VOmax,即最大功率(PPO)的相对值以及各个周期的伴随变量:呼吸频率(BF)、血乳酸浓度差(ΔLA)、体脂(FAT)和 MMS。确定影响运动能力的 PC 对于运动员实现既定目标可能至关重要。监测这些指标有助于保护职业运动员的健康,并在训练过程中提供指导,在刺激身体的同时防止过度训练。