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Does the McNeill Alexander model accurately predict maximum walking speed in novice and experienced race walkers？

Journal of Sport and Health Science 2018年第3期7卷 372-377页

作者： Andrew J.Harrison patrick g.molloy Laura-Anne M.Furlong Department of Physical Education and Sport Sciences University of LimerickCastletroyLimerick V94 T9PXIreland School of Sport Exercise and Health Sciences Loughborough UniversityEpinalWayLoughboroughLeicestershire LEll 3TUUK

Background:Mathematical models propose leg length as a limiting factor in determining the maximum walking *** study evaluated the effectiveness of a leg length-based model in predicting maximum walking velocity in an applied race walking situation,by comparing experienced and novice race walkers during conditions where strictly no flight time(FT)was permitted and in simulated competition conditions(i.e.,FTg velocity,step frequency,step length,ground contact time,and FT during race walking over a range of *** were made between novice and experienced participants in predicted maximum velocity and actual velocities achieved with no flight and velocities with FTg the ratio of maximum velocity to predicted ***:In novices,no significant difference was found between predicted and maximum walking speeds without FT but there was a small 5.8%gain in maximum speed when FT≤40 *** experienced race walkers,there was a significant reduction in maximum walking speed compared with predicted maximum(pgain in maximum walking speed with FTg length was a good predictor of maximal walking velocity in novice walkers but not a good predictor of maximum walking speed in well-trained walkers who appear to have optimised their walking technique to make use of non-visible flight periods of less than 40 *** gain in velocity above predicted maximum may be a useful index of race walking proficiency.

关键词： Biomechanics gait Mathematical modelling Race walking Sports technique Technique development

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