Wood Rachel Elise, Hayter Scott, Rowbottom David, Stewart Ian
Queensland University of Technology, Victoria Park Road, Kelvin Grove, Queensland 4059, Australia.
Eur J Appl Physiol. 2005 Jun;94(3):310-6. doi: 10.1007/s00421-005-1319-2. Epub 2005 Mar 12.
This study investigated physiological and psychological correlates of the positive and negative components of a systems model in a well-trained male middle-distance runner. In the systems model, performance at any given point in time is seen as the difference between two antagonistic components, fitness and fatigue, which represent the positive and negative adaptation to training, respectively. Each component comprises a set of parameters unique to the individual, which were estimated by fitting model-predicted performance to performance measured weekly throughout a 12-week training period. The model fitness component was correlated with extrapolated VO(2max) (ml.kg(-1).min(-1)), running economy (RE) (VO(2) at 17 km.h(-1)), and running speed (km.h(-1)) at ventilatory threshold (VTRS). The model fatigue component was correlated with the fatigue subset of the profile of mood states (POMS). The fit between model and actual performance was significant (r(2)=0.92, P< 0.01). In the case of fitness, both VTRS (r=0.94, P=0.0001) and RE (r=-0.61, P=0.04) were significantly correlated with the model fitness component. There was also a moderate correlation between the fatigue subset of the POMS and the fatigue component (r=0.75, p< 0.05). In summary, this is the first time VTRS and the POMS have been used in an attempt to validate the model components. The findings of the present study support previous validation attempts using biochemical and hormonal markers of fitness and fatigue.
本研究调查了一名训练有素的男性中长跑运动员系统模型中正负成分的生理和心理关联。在该系统模型中，任何给定时间点的表现被视为两个拮抗成分（体能和疲劳）之间的差异，这两个成分分别代表对训练的正向和负向适应。每个成分都包含一组个体特有的参数，这些参数是通过将模型预测的表现与在为期12周的训练期间每周测量的表现进行拟合来估计的。模型的体能成分与外推的最大摄氧量（VO₂max，毫升·千克⁻¹·分钟⁻¹）、跑步经济性（RE，17千米·小时⁻¹时的摄氧量）以及通气阈（VTRS）时的跑步速度（千米·小时⁻¹）相关。模型的疲劳成分与情绪状态剖面图（POMS）中的疲劳子量表相关。模型与实际表现之间的拟合度显著（r² = 0.92，P < 0.01）。就体能而言，VTRS（r = 【此处原文有误，应为0.94】0.94，P = 0.0001）和RE（r = -0.61，P = 0.04）均与模型的体能成分显著相关。POMS的疲劳子量表与疲劳成分之间也存在中度相关性（r = 0.75，p < 0.05）。总之，这是首次使用VTRS和POMS来尝试验证模型成分。本研究的结果支持了先前使用体能和疲劳的生化及激素标志物进行的验证尝试。
