Taha Tim, Thomas Scott G
Faculty of Physical Education and Health, University of Toronto, Toronto, Ontario, Canada.
Sports Med. 2003;33(14):1061-73. doi: 10.2165/00007256-200333140-00003.
Mathematical models may provide a method of describing and predicting the effect of training on performance. The current models attempt to describe the effects of single or multiple bouts of exercise on the performance of a specific task on a given day. These models suggest that any training session increases fitness and provokes a fatigue response. Various methods of quantifying the training stimulus (training impulse, absolute work, psychophysiological rating) and physical performance (criterion scale, arbitrary units) are employed in these models. The models are empirical descriptions and do not use current knowledge regarding the specificity of training adaptations. Tests of these models with published data indicate discrepancies between the predicted and measured time course of physiological adaptations, and between the predicted and measured performance responses to training. The relationship between these models and the underlying physiology requires clarification. New functional models that incorporate specificity of training and known physiology are required to enhance our ability to guide athletic training, rehabilitation and research.
数学模型可能提供一种描述和预测训练对运动表现影响的方法。当前的模型试图描述单次或多次运动对特定一天内特定任务表现的影响。这些模型表明,任何训练课程都会提高体能并引发疲劳反应。这些模型采用了各种量化训练刺激(训练冲量、绝对运动量、心理生理评分)和身体表现(标准量表、任意单位)的方法。这些模型是经验性描述,并未运用当前关于训练适应性特异性的知识。用已发表的数据对这些模型进行测试表明,在生理适应性的预测和测量时间进程之间,以及在对训练的预测和测量表现反应之间存在差异。这些模型与潜在生理学之间的关系需要阐明。需要新的纳入训练特异性和已知生理学的功能模型,以提高我们指导运动训练、康复和研究的能力。