University of Limerick Institutional Repository

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

DSpace Repository

Show simple item record Harrison, Andrew J. Molloy, Patrick J. Furlong, Laura-Anne M. 2018-09-26T14:29:04Z 2018-09-26T14:29:04Z 2018
dc.description peer-reviewed en_US
dc.description.abstract Background Mathematical models propose leg length as a limiting factor in determining the maximum walking velocity. This 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., FT ≤ 40 ms). Methods Thirty-four participants (18 experienced and 16 novice race walkers) were recruited for this investigation. An Optojump Next system (8 m) was used to determine walking velocity, step frequency, step length, ground contact time, and FT during race walking over a range of velocities. Comparisons were made between novice and experienced participants in predicted maximum velocity and actual velocities achieved with no flight and velocities with FT ≤ 40 ms. The technical effectiveness of the participants was assessed using the ratio of maximum velocity to predicted velocity Results 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 ms. In experienced race walkers, there was a significant reduction in maximum walking speed compared with predicted maximum (p <0.01) and a 11.7% gain in maximum walking speed with FT ≤ 40 ms. Conclusion Leg 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 ms. The gain in velocity above predicted maximum may be a useful index of race walking proficiency. en_US
dc.language.iso eng en_US
dc.publisher Elsevier en_US
dc.relation.ispartofseries Journal of Sport and Health Science;7 (3), pp. 372-377
dc.subject biomechanics en_US
dc.subject gait en_US
dc.subject mathematical modelling en_US
dc.subject race walking en_US
dc.subject sports technique en_US
dc.subject technique development en_US
dc.title Does the McNeill Alexander model accurately predict maximum walking speed in novice and experienced race walkers? en_US
dc.type info:eu-repo/semantics/article en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.identifier.doi 10.1016/j.jshs.2016.04.010
dc.rights.accessrights info:eu-repo/semantics/openAccess en_US

Files in this item

This item appears in the following Collection(s)

Show simple item record

Search ULIR


My Account