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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| Format: | Article |
| Language: | English |
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MDPI AG
2021-10-01
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| Series: | Biology |
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| Online Access: | https://www.mdpi.com/2079-7737/10/11/1110 |
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| 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 |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-10T05:42:42Z |
| format | Article |
| id | doaj.art-e30bec0a31244f1a9b95e606ebcd185d |
| institution | Directory Open Access Journal |
| issn | 2079-7737 |
| language | English |
| last_indexed | 2024-03-10T05:42:42Z |
| publishDate | 2021-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Biology |
| spelling | doaj.art-e30bec0a31244f1a9b95e606ebcd185d2023-11-22T22:27:29ZengMDPI AGBiology2079-77372021-10-011011111010.3390/biology10111110Falls in Post-Polio Patients: Prevalence and Risk FactorsYonah Ofran0Isabella Schwartz1Sheer Shabat2Martin Seyres3Naama Karniel4Sigal Portnoy5Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem 91905, IsraelFaculty of Medicine, Hebrew University of Jerusalem, Jerusalem 91905, IsraelFaculty of Medicine, Hebrew University of Jerusalem, Jerusalem 91905, IsraelFaculty of Medicine, Hebrew University of Jerusalem, Jerusalem 91905, IsraelDepartment of Physical Medicine & Rehabilitation, Hadassah University Hospital, Jerusalem 9765418, IsraelDepartment of Occupational Therapy, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, IsraelIndividuals 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.https://www.mdpi.com/2079-7737/10/11/1110gait analysiscoefficient of variabilitygait symmetrytimed up and go |
| spellingShingle | Yonah Ofran Isabella Schwartz Sheer Shabat Martin Seyres Naama Karniel Sigal Portnoy Falls in Post-Polio Patients: Prevalence and Risk Factors Biology gait analysis coefficient of variability gait symmetry timed up and go |
| title | 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_short | Falls in Post-Polio Patients: Prevalence and Risk Factors |
| title_sort | falls in post polio patients prevalence and risk factors |
| topic | gait analysis coefficient of variability gait symmetry timed up and go |
| url | https://www.mdpi.com/2079-7737/10/11/1110 |
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