Alternative measures of toe trajectory more accurately predict the probability of tripping than minimum toe clearance

dc.contributor.authorByju, Achu G.en
dc.contributor.authorNussbaum, Maury A.en
dc.contributor.authorMadigan, Michael L.en
dc.date.accessioned2025-05-28T17:56:11Zen
dc.date.available2025-05-28T17:56:11Zen
dc.date.issued2016-12-08en
dc.description.abstractTripping is responsible for a large percentage of falls. Minimum toe clearance (MTC) during the swing phase of gait is commonly used to infer the probability of tripping (POT). However, there is limited empirical evidence to support the relationship between these two variables, and other measures of toe trajectory may better predict POT than MTC. The goals of this study were to: 1) quantify the relationship between MTC and POT; and 2) explore alternative measures of toe trajectory that may predict POT more accurately than MTC. POT was estimated by comparing the distribution of tripping obstacles measured along heavily-used, paved sidewalks on a university campus, to the toe trajectory of 40 young adults obtained while walking over an obstacle-free walkway in a research laboratory. POT exhibited a curvilinear relationship with MTC, and regression equations were established to predict POT from MTC. POT was more accurately predicted when using virtual points on the bottom of the anterior edge of the shoe to determine MTC, compared to using a physical marker located on top of the toes to determine MTC. POT was also more accurately predicted when using a new measure of toe trajectory (the area below 40 mm and above the toe trajectory, normalized by the swing length), compared to just MTC. These are the first empirical results supporting a direct, quantitative relationship between MTC and POT. These results may improve the ability to identify risk factors that influence POT, and aid in developing interventions to reduce POT.en
dc.description.versionAccepted versionen
dc.format.extentPages 4016-4021en
dc.format.extent6 page(s)en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1016/j.jbiomech.2016.10.045en
dc.identifier.eissn1873-2380en
dc.identifier.issn0021-9290en
dc.identifier.issue16en
dc.identifier.orcidNussbaum, Maury [0000-0002-1887-8431]en
dc.identifier.orcidMadigan, Michael [0000-0002-4299-3851]en
dc.identifier.otherS0021-9290(16)31146-0 (PII)en
dc.identifier.pmid27825600en
dc.identifier.urihttps://hdl.handle.net/10919/134266en
dc.identifier.volume49en
dc.language.isoenen
dc.publisherElsevieren
dc.relation.urihttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000390971300037&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=930d57c9ac61a043676db62af60056c1en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectBiomechanicsen
dc.subjectTripsen
dc.subjectFallsen
dc.subjectGaiten
dc.subjectLocomotionen
dc.subject.meshToesen
dc.subject.meshHumansen
dc.subject.meshGaiten
dc.subject.meshProbabilityen
dc.subject.meshRisk Factorsen
dc.subject.meshAccidental Fallsen
dc.subject.meshKineticsen
dc.subject.meshShoesen
dc.subject.meshAdulten
dc.subject.meshFemaleen
dc.subject.meshMaleen
dc.subject.meshMechanical Phenomenaen
dc.subject.meshBiomechanical Phenomenaen
dc.titleAlternative measures of toe trajectory more accurately predict the probability of tripping than minimum toe clearanceen
dc.title.serialJournal of Biomechanicsen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.otherArticleen
dc.type.otherJournalen
dcterms.dateAccepted2016-10-22en
pubs.organisational-groupVirginia Techen
pubs.organisational-groupVirginia Tech/Engineeringen
pubs.organisational-groupVirginia Tech/Engineering/Industrial and Systems Engineeringen
pubs.organisational-groupVirginia Tech/Faculty of Health Sciencesen
pubs.organisational-groupVirginia Tech/All T&R Facultyen
pubs.organisational-groupVirginia Tech/Engineering/COE T&R Facultyen

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