Abbiss Chris R, Laursen Paul B
School of Exercise, Biomedical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia.
Sports Med. 2005;35(10):865-98. doi: 10.2165/00007256-200535100-00004.
Much of the previous research into understanding fatigue during prolonged cycling has found that cycling performance may be limited by numerous physiological, biomechanical, environmental, mechanical and psychological factors. From over 2000 manuscripts addressing the topic of fatigue, a number of diverse cause-and-effect models have been developed. These include the following models: (i) cardiovascular/anaerobic; (ii) energy supply/energy depletion; (iii) neuromuscular fatigue; (iv) muscle trauma; (v) biomechanical; (vi) thermoregulatory; (vii) psychological/motivational; and (viii) central governor. More recently, however, a complex systems model of fatigue has been proposed, whereby these aforementioned linear models provide afferent feedback that is integrated by a central governor into our unconscious perception of fatigue. This review outlines the more conventional linear models of fatigue and addresses specifically how these may influence the development of fatigue during cycling. The review concludes by showing how these linear models of fatigue might be integrated into a more recently proposed nonlinear complex systems model of exercise-induced fatigue.
先前对长时间骑行过程中疲劳现象的诸多研究发现,骑行表现可能会受到众多生理、生物力学、环境、机械和心理因素的限制。在2000多篇论述疲劳主题的手稿中,已形成了多种不同的因果模型。这些模型包括:(i)心血管/无氧;(ii)能量供应/能量消耗;(iii)神经肌肉疲劳;(iv)肌肉损伤;(v)生物力学;(vi)体温调节;(vii)心理/动机;以及(viii)中枢调控器。然而,最近有人提出了一种疲劳的复杂系统模型,即上述线性模型提供传入反馈,由中枢调控器将其整合到我们对疲劳的无意识感知中。本综述概述了更为传统的疲劳线性模型,并具体探讨了这些模型如何可能影响骑行过程中疲劳的发展。综述最后展示了这些疲劳线性模型如何可能被整合到最近提出的运动性疲劳非线性复杂系统模型中。