Atkinson Greg, Davison Richard, Jeukendrup Asker, Passfield Louis
School of Sport and Exercise Sciences, Loughborough University, UK.
J Sports Sci. 2003 Sep;21(9):767-87. doi: 10.1080/0264041031000102097.
In this holistic review of cycling science, the objectives are: (1) to identify the various human and environmental factors that influence cycling power output and velocity; (2) to discuss, with the aid of a schematic model, the often complex interrelationships between these factors; and (3) to suggest future directions for research to help clarify how cycling performance can be optimized, given different race disciplines, environments and riders. Most successful cyclists, irrespective of the race discipline, have a high maximal aerobic power output measured from an incremental test, and an ability to work at relatively high power outputs for long periods. The relationship between these characteristics and inherent physiological factors such as muscle capilliarization and muscle fibre type is complicated by inter-individual differences in selecting cadence for different race conditions. More research is needed on high-class professional riders, since they probably represent the pinnacle of natural selection for, and physiological adaptation to, endurance exercise. Recent advances in mathematical modelling and bicycle-mounted strain gauges, which can measure power directly in races, are starting to help unravel the interrelationships between the various resistive forces on the bicycle (e.g. air and rolling resistance, gravity). Interventions on rider position to optimize aerodynamics should also consider the impact on power output of the rider. All-terrain bicycle (ATB) racing is a neglected discipline in terms of the characterization of power outputs in race conditions and the modelling of the effects of the different design of bicycle frame and components on the magnitude of resistive forces. A direct application of mathematical models of cycling velocity has been in identifying optimal pacing strategies for different race conditions. Such data should, nevertheless, be considered alongside physiological optimization of power output in a race. An even distribution of power output is both physiologically and biophysically optimal for longer ( > 4 km) time-trials held in conditions of unvarying wind and gradient. For shorter races (e.g. a 1 km time-trial), an 'all out' effort from the start is advised to 'save' time during the initial phase that contributes most to total race time and to optimize the contribution of kinetic energy to race velocity. From a biophysical standpoint, the optimum pacing strategy for road time-trials may involve increasing power in headwinds and uphill sections and decreasing power in tailwinds and when travelling downhill. More research, using models and direct power measurement, is needed to elucidate fully how much such a pacing strategy might save time in a real race and how much a variable power output can be tolerated by a rider. The cyclist's diet is a multifactorial issue in itself and many researchers have tried to examine aspects of cycling nutrition (e.g. timing, amount, composition) in isolation. Only recently have researchers attempted to analyse interrelationships between dietary factors (e.g. the link between pre-race and in-race dietary effects on performance). The thermal environment is a mediating factor in choice of diet, since there may be competing interests of replacing lost fluid and depleted glycogen during and after a race. Given the prevalence of stage racing in professional cycling, more research into the influence of nutrition on repeated bouts of exercise performance and training is required.
在本次对自行车运动科学的全面综述中,目标如下:(1)确定影响自行车功率输出和速度的各种人体及环境因素;(2)借助示意图模型,讨论这些因素之间通常复杂的相互关系;(3)针对不同的比赛项目、环境和车手,提出未来的研究方向,以帮助阐明如何优化自行车运动表现。大多数成功的自行车手,无论比赛项目如何,通过递增测试测得的最大有氧功率输出都很高,并且能够长时间以相对较高的功率输出进行骑行。这些特征与诸如肌肉毛细血管化和肌纤维类型等内在生理因素之间的关系,因个体在不同比赛条件下选择踏频的差异而变得复杂。对于顶级职业车手需要开展更多研究,因为他们可能代表了耐力运动自然选择和生理适应的巅峰。数学建模和安装在自行车上的应变仪(可在比赛中直接测量功率)方面的最新进展,正开始有助于揭示自行车上各种阻力(如空气阻力、滚动阻力、重力)之间的相互关系。对车手姿势进行干预以优化空气动力学时,也应考虑对车手功率输出的影响。就比赛条件下功率输出的特征以及自行车车架和部件的不同设计对阻力大小的影响建模而言,全地形自行车(ATB)比赛是一个被忽视的项目。自行车速度数学模型的直接应用之一是确定不同比赛条件下的最佳配速策略。然而,此类数据应与比赛中功率输出的生理优化情况一并考虑。在风向和坡度不变的条件下进行较长距离(>4公里)的计时赛时,功率输出均匀分布在生理和生物物理方面都是最佳的。对于较短距离的比赛(如1公里计时赛),建议从一开始就全力冲刺,以便在对总比赛时间贡献最大的初始阶段“节省”时间,并优化动能对比赛速度的贡献。从生物物理角度来看,公路计时赛的最佳配速策略可能包括在逆风段和上坡路段增加功率,在顺风段和下坡时降低功率。需要开展更多使用模型和直接功率测量的研究,以充分阐明这种配速策略在实际比赛中能节省多少时间,以及车手能耐受多大程度的可变功率输出。自行车手的饮食本身就是一个多因素问题,许多研究人员曾试图单独研究自行车运动营养的各个方面(如时间、数量、成分)。直到最近,研究人员才尝试分析饮食因素之间的相互关系(如赛前和赛中饮食对表现的影响之间的联系)。热环境是饮食选择的一个中介因素,因为在比赛期间和比赛后补充流失的水分和消耗的糖原可能存在相互竞争的需求。鉴于职业自行车赛中多日赛的普遍性,需要对营养对重复运动表现和训练的影响进行更多研究。