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

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摘要 Background:Mathematicalmodelsproposeleglengthasalimitingfactorindeterminingthemaximumwalkingvelocity.Thisstudyevaluatedtheeffectivenessofaleglength-basedmodelinpredictingmaximumwalkingvelocityinanappliedracewalkingsituation,bycomparingexperiencedandnoviceracewalkersduringconditionswherestrictlynoflighttime(FT)waspermittedandinsimulatedcompetitionconditions(i.e.,FT〈40ms).Methods:Thirty-fourparticipants(18experiencedandl6noviceracewalkers)wererecruitedforthisinvestigation.AnOptojumpNextsystem(8m)wasusedtodeterminewalkingvelocity,stepfrequency,steplength,groundcontacttime,andFTduringracewalkingoverarangeofvelocities.ComparisonsweremadebetweennoviceandexperiencedparticipantsinpredictedmaximumvelocityandactualvelocitiesachievedwithnoflightandvelocitieswithFT〈40ms.Thetechnicaleffectivenessoftheparticipantswasassessedusingtheratioofmaximumvelocitytopredictedvelocity.Results:Innovices,nosignificantdifferencewasfoundbetweenpredictedandmaximumwalkingspeedswithoutFTbuttherewasasmall5.8%gaininmaximumspeedwhenFT≤40ms.Inexperiencedracewalkers,therewasasignificantreductioninmaximumwalkingspeedcomparedwithpredictedmaximum(p〈0.01)anda11.7%gaininmaximumwalkingspeedwithFT〈40ms.Conclusion:Leglengthwasagoodpredictorofmaximalwalkingvelocityinnovicewalkersbutnotagoodpredictorofmaximumwalkingspeedinwell-trainedwalkerswhoappeartohaveoptimisedtheirwalkingtechniquetomakeuseofnon-visibleflightperiodsoflessthan40ms.Thegaininvelocityabovepredictedmaximummaybeausefulindexofracewalkingproficiency.
机构地区 不详
出版日期 2018年03月13日(中国期刊网平台首次上网日期,不代表论文的发表时间)
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