Elderly fall risk prediction using static posturography

dc.contributor.authorHowcroft, Jennifer
dc.contributor.authorLemaire, Edward D.
dc.contributor.authorKofman, Jonathan
dc.contributor.authorMcIlroy, William E.
dc.date.accessioned2026-05-20T14:51:01Z
dc.date.available2026-05-20T14:51:01Z
dc.date.issued2017-02-21
dc.description© 2017 Howcroft et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
dc.description.abstractMaintaining and controlling postural balance is important for activities of daily living, with poor postural balance being predictive of future falls. This study investigated eyes open and eyes closed standing posturography with elderly adults to identify differences and determine appropriate outcome measure cut-off scores for prospective faller, single-faller, multi-faller, and non-faller classifications. 100 older adults (75.5 ± 6.7 years) stood quietly with eyes open and then eyes closed while Wii Balance Board data were collected. Range in anterior-posterior (AP) and medial-lateral (ML) center of pressure (CoP) motion; AP and ML CoP root mean square distance from mean (RMS); and AP, ML, and vector sum magnitude (VSM) CoP velocity were calculated. Romberg Quotients (RQ) were calculated for all parameters. Participants reported six-month fall history and six-month post-assessment fall occurrence. Groups were retrospective fallers (24), prospective all fallers (42), prospective fallers (22 single, 6 multiple), and prospective non-fallers (47). Non-faller RQ AP range and RQ AP RMS differed from prospective all fallers, fallers, and single fallers. Non-faller eyes closed AP velocity, eyes closed VSM velocity, RQ AP velocity, and RQ VSM velocity differed from multi-fallers. RQ calculations were particularly relevant for elderly fall risk assessments. Cut-off scores from Clinical Cut-off Score, ROC curves, and discriminant functions were clinically viable for multi-faller classification and provided better accuracy than single-faller classification. RQ AP range with cut-off score 1.64 could be used to screen for older people who may fall once. Prospective multi-faller classification with a discriminant function (-1.481 + 0.146 x Eyes Closed AP Velocity—0.114 x Eyes Closed Vector Sum Magnitude Velocity—2.027 x RQ AP Velocity + 2.877 x RQ Vector Sum Magnitude Velocity) and cut-off score 0.541 achieved an accuracy of 84.9% and is viable as a screening tool for older people at risk of multiple falls.
dc.description.sponsorshipNatural Sciences and Engineering Research Council of Canada (NSERC) || Ontario Ministry of Training, Colleges and Universities || University of Waterloo.
dc.identifier.urihttps://doi.org/10.1371/journal.pone.0172398
dc.identifier.urihttps://hdl.handle.net/10012/23358
dc.language.isoen
dc.publisherPublic Library of Science
dc.relation.ispartofseriesPLoS ONE; 12(2); e0172398
dc.relation.urihttp://dx.doi.org/10.5683/SP/VIWVZS
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectpostural control
dc.subjecteyes
dc.subjectelderly
dc.subjectmedical risk factors
dc.subjectvision
dc.subjectbalance and falls
dc.subjectmeasurement
dc.subjectmotion
dc.titleElderly fall risk prediction using static posturography
dc.typeArticle
dcterms.bibliographicCitationHowcroft J, Lemaire ED, Kofman J, McIlroy WE (2017) Elderly fall risk prediction using static posturography. PLoS ONE 12(2): e0172398. https://doi.org/10.1371/journal.pone.0172398
uws.contributor.affiliation1Faculty of Engineering
uws.contributor.affiliation2Systems Design Engineering
uws.peerReviewStatusReviewed
uws.scholarLevelFaculty
uws.typeOfResourceTexten

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