2018
DOI: 10.3233/thc-174736
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Comparison of gait patterns in elderly fallers and non-fallers

Abstract: Gait is associated with an important risk factor of falls in the elderly. It is important to find differences of quantitative gait variables between fallers and non-fallers. The aim of this study was to investigate gait patterns in elderly fallers and non-fallers. Thirty-eight fallers and 38 non-fallers of similar age and height participated in this study. Subjects walked across the GaitRite walkway at self-selected comfortable speeds. Spatio-temporal gait variables were measured to characterize gait patterns.… Show more

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Cited by 65 publications
(58 citation statements)
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“…Dual-task gait in Huntington's disease falls in other populations [45]. Although we did not find gait variability parameters to be associated with falls in the present study, perhaps due the low sample size, further prospective studies with larger subject numbers might find that increased gait variability may potentially serve as a marker or predictor of future fallers and thus have clinical utility.…”
Section: Movement Transition Movement Transition Movement Transitioncontrasting
confidence: 78%
“…Dual-task gait in Huntington's disease falls in other populations [45]. Although we did not find gait variability parameters to be associated with falls in the present study, perhaps due the low sample size, further prospective studies with larger subject numbers might find that increased gait variability may potentially serve as a marker or predictor of future fallers and thus have clinical utility.…”
Section: Movement Transition Movement Transition Movement Transitioncontrasting
confidence: 78%
“…In our study, patients with INPH may also increase the stance phase and the double-support period to stabilize their inefficient gait control. It has been suggested that both the stance phase and double-limb support are stabilizing factors during normal gait in the elderly 47 .…”
Section: Discussionmentioning
confidence: 99%
“…From this list, and other variables especially in the U-turn (111), the developed algorithms will be able to provide a risk score combining static and dynamic measures. On the basis of previous results (112), it is likely that the analysis of temporo-spatial variables of gait can effectively distinguish fallers from non-fallers in elderly institutionalized population. The SEM and the MDC of gait velocity were measured at 6.5 and 18.1% at their maximum, respectively, while the variability of the other gait parameters could be higher (113).…”
Section: Discussionmentioning
confidence: 93%