title: Can stability really predict an impending slip-related fall among older adults?
abstract: The primary purpose of this study was to systematically evaluate and compare the predictive power of falls for a battery of stability indices, obtained during normal walking among community-dwelling older adults. One hundred and eighty seven community-dwelling older adults participated in the study. After walking regularly for 20 strides on a walkway, participants were subjected to an unannounced slip during gait under the protection of a safety harness. Full body kinematics and kinetics were monitored during walking using a motion capture system synchronized with force plates. Stability variables, including feasible-stability-region measurement, margin of stability, the maximum Floquet multiplier, the Lyapunov exponents (short- and long-term), and the variability of gait parameters (including the step length, step width, and step time), were calculated for each subject. Sensitivity of predicting slip outcome (fall vs. recovery) was examined for each stability variable using logistic regression. Results showed that the feasible-stability-region measurement predicted fall incidence among these subjects with the highest sensitivity (68.4%). Except for the step width (with an sensitivity of 60.2%), no other stability variables could differentiate fallers from those who did not fall for the sample included in this study. The findings from the present study could provide guidance to identify individuals at increased risk of falling using the feasible-stability-region measurement or variability of the step width.
authors.affiliation: Department of Kinesiology, University of Texas at El Paso, El Paso, TX 79968, USA.
authors.forename: Feng
authors.initials: F
authors.lastname: Yang
authors.affiliation: Department of Physical Therapy, University of Illinois at Chicago, 1919 West Taylor St., Room 426 (M/C 898) Chicago, IL 60612, USA. Electronic address: cpai@uic.edu.
authors.forename: Yi-Chung
authors.initials: YC
authors.lastname: Pai
mesh_terms: D000058:Accidental Falls; D000368:Aged; D001696:Biomechanical Phenomena; D005260:Female; D005684:Gait; D006801:Humans; D016015:Logistic Models; D008297:Male; D009038:Motion; D004856:Postural Balance; D012306:Risk; D018570:Risk Assessment; D016138:Walking
keywords: Fall prevention; Fall risk screening; Variability