Falls in Post-Polio Patients: Prevalence and Risk Factors

Individuals with post-polio syndrome (PPS) suffer from falls and secondary damage. Aim: To (i) analyze the correlation between spatio-temporal gait data and fall measures (fear and frequency of falls) and to (ii) test whether the gait parameters are predictors of fall measures in PPS patients. Metho...

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Autores principales:	Yonah Ofran, Isabella Schwartz, Sheer Shabat, Martin Seyres, Naama Karniel, Sigal Portnoy
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	gait analysis coefficient of variability gait symmetry timed up and go Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/e30bec0a31244f1a9b95e606ebcd185d
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spelling	oai:doaj.org-article:e30bec0a31244f1a9b95e606ebcd185d2021-11-25T16:47:05ZFalls in Post-Polio Patients: Prevalence and Risk Factors10.3390/biology101111102079-7737https://doaj.org/article/e30bec0a31244f1a9b95e606ebcd185d2021-10-01T00:00:00Zhttps://www.mdpi.com/2079-7737/10/11/1110https://doaj.org/toc/2079-7737Individuals with post-polio syndrome (PPS) suffer from falls and secondary damage. Aim: To (i) analyze the correlation between spatio-temporal gait data and fall measures (fear and frequency of falls) and to (ii) test whether the gait parameters are predictors of fall measures in PPS patients. Methods: Spatio-temporal gait data of 50 individuals with PPS (25 males; age 65.9 ± 8.0) were acquired during gait and while performing the Timed Up-and-Go test. Subjects filled the Activities-specific Balance Confidence Scale (ABC Scale) and reported number of falls during the past year. Results: ABC scores and number of falls correlated with the Timed Up-and-Go, and gait cadence and velocity. The number of falls also correlated with the swing duration symmetry index and the step length variability. Four gait variability parameters explained 33.2% of the variance of the report of falls (<i>p</i> = 0.006). The gait velocity was the best predictor of the ABC score and explained 24.8% of its variance (<i>p</i> = 0.001). Conclusion: Gait variability, easily measured by wearables or pressure-sensing mats, is an important predictor of falls in PPS population. Therefore, gait variability might be an efficient tool before devising a patient-specific fall prevention program for the PPS patient.Yonah OfranIsabella SchwartzSheer ShabatMartin SeyresNaama KarnielSigal PortnoyMDPI AGarticlegait analysiscoefficient of variabilitygait symmetrytimed up and goBiology (General)QH301-705.5ENBiology, Vol 10, Iss 1110, p 1110 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	gait analysis coefficient of variability gait symmetry timed up and go Biology (General) QH301-705.5
spellingShingle	gait analysis coefficient of variability gait symmetry timed up and go Biology (General) QH301-705.5 Yonah Ofran Isabella Schwartz Sheer Shabat Martin Seyres Naama Karniel Sigal Portnoy Falls in Post-Polio Patients: Prevalence and Risk Factors
description	Individuals with post-polio syndrome (PPS) suffer from falls and secondary damage. Aim: To (i) analyze the correlation between spatio-temporal gait data and fall measures (fear and frequency of falls) and to (ii) test whether the gait parameters are predictors of fall measures in PPS patients. Methods: Spatio-temporal gait data of 50 individuals with PPS (25 males; age 65.9 ± 8.0) were acquired during gait and while performing the Timed Up-and-Go test. Subjects filled the Activities-specific Balance Confidence Scale (ABC Scale) and reported number of falls during the past year. Results: ABC scores and number of falls correlated with the Timed Up-and-Go, and gait cadence and velocity. The number of falls also correlated with the swing duration symmetry index and the step length variability. Four gait variability parameters explained 33.2% of the variance of the report of falls (<i>p</i> = 0.006). The gait velocity was the best predictor of the ABC score and explained 24.8% of its variance (<i>p</i> = 0.001). Conclusion: Gait variability, easily measured by wearables or pressure-sensing mats, is an important predictor of falls in PPS population. Therefore, gait variability might be an efficient tool before devising a patient-specific fall prevention program for the PPS patient.
format	article
author	Yonah Ofran Isabella Schwartz Sheer Shabat Martin Seyres Naama Karniel Sigal Portnoy
author_facet	Yonah Ofran Isabella Schwartz Sheer Shabat Martin Seyres Naama Karniel Sigal Portnoy
author_sort	Yonah Ofran
title	Falls in Post-Polio Patients: Prevalence and Risk Factors
title_short	Falls in Post-Polio Patients: Prevalence and Risk Factors
title_full	Falls in Post-Polio Patients: Prevalence and Risk Factors
title_fullStr	Falls in Post-Polio Patients: Prevalence and Risk Factors
title_full_unstemmed	Falls in Post-Polio Patients: Prevalence and Risk Factors
title_sort	falls in post-polio patients: prevalence and risk factors
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/e30bec0a31244f1a9b95e606ebcd185d
work_keys_str_mv	AT yonahofran fallsinpostpoliopatientsprevalenceandriskfactors AT isabellaschwartz fallsinpostpoliopatientsprevalenceandriskfactors AT sheershabat fallsinpostpoliopatientsprevalenceandriskfactors AT martinseyres fallsinpostpoliopatientsprevalenceandriskfactors AT naamakarniel fallsinpostpoliopatientsprevalenceandriskfactors AT sigalportnoy fallsinpostpoliopatientsprevalenceandriskfactors
_version_	1718412989535617024

Falls in Post-Polio Patients: Prevalence and Risk Factors

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