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.
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)