Tuhin Virmani1, Harsh Gupta2, Jesal Shah3, Linda Larson-Prior4. 1. Department of Neurology, University of Arkansas for Medical Sciences, Little Rock, AR, USA; Center for Translational Neuroscience, University of Arkansas for Medical Sciences, Little Rock, AR, USA. Electronic address: TVirmani@uams.edu. 2. Department of Neurology, University of Arkansas for Medical Sciences, Little Rock, AR, USA. 3. College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, USA. 4. Department of Neurology, University of Arkansas for Medical Sciences, Little Rock, AR, USA; Center for Translational Neuroscience, University of Arkansas for Medical Sciences, Little Rock, AR, USA; Department of Psychiatry, Department of Neurobiology & Developmental Sciences, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Abstract
BACKGROUND: Neurodegenerative diseases increase in incidence with age. Prior studies using differing populations and gait paradigms have reported various parameters changing with age, some of which correlate with falls and mortality. Here we use three different paradigms to evaluate gait and balance in healthy non-fallers. RESEARCH QUESTION: What objective gait and balance parameters are correlated with aging. METHODS: Healthy subjects aged 21-79 years without histories of falls, lower extremity orthopedic procedures or chronic pain were included. Subjects walked on a 20 × 4 foot pressure sensor mat (Zeno Walkway, Protokinetics, Havertown, PA) under three different gait paradigms, (i) steady-state gait, (ii) dual-task while texting on a cellular phone and (iii) tandem gait. Data was collected and analyzed using PKMAS software (Protokinetics). Linear regression analysis, stepwise multivariate analysis, and grouped analysis of gait parameters was performed using SPSS 24 (IBM). RESULTS: Seventy-five subjects were enrolled. Grouped analysis and linear regression analysis showed differing significance in parameters tested. Step-wise multivariate analysis of all 31 parameters assessed from three different gait paradigms, showed weak but significant correlations in age with (i) stride-to-stride variability in (i) integrated-pressure of footsteps and (ii) stride-length during steady-state gait, (iii) mean stride-length on dual-task, and (iv) mean step-width on tandem gait (R2 = 0.382, t = 2.26, p = 0.026). SIGNIFICANCE: In a population of healthy subjects without prior history of falls or medical illness that should affect gait, there were weak but significant age-related changes in objective measures of steady state gait and balance. Future prospective longitudinal data will help predict the relevance of this in relation to falls in the elderly.
BACKGROUND: Neurodegenerative diseases increase in incidence with age. Prior studies using differing populations and gait paradigms have reported various parameters changing with age, some of which correlate with falls and mortality. Here we use three different paradigms to evaluate gait and balance in healthy non-fallers. RESEARCH QUESTION: What objective gait and balance parameters are correlated with aging. METHODS: Healthy subjects aged 21-79 years without histories of falls, lower extremity orthopedic procedures or chronic pain were included. Subjects walked on a 20 × 4 foot pressure sensor mat (Zeno Walkway, Protokinetics, Havertown, PA) under three different gait paradigms, (i) steady-state gait, (ii) dual-task while texting on a cellular phone and (iii) tandem gait. Data was collected and analyzed using PKMAS software (Protokinetics). Linear regression analysis, stepwise multivariate analysis, and grouped analysis of gait parameters was performed using SPSS 24 (IBM). RESULTS: Seventy-five subjects were enrolled. Grouped analysis and linear regression analysis showed differing significance in parameters tested. Step-wise multivariate analysis of all 31 parameters assessed from three different gait paradigms, showed weak but significant correlations in age with (i) stride-to-stride variability in (i) integrated-pressure of footsteps and (ii) stride-length during steady-state gait, (iii) mean stride-length on dual-task, and (iv) mean step-width on tandem gait (R2 = 0.382, t = 2.26, p = 0.026). SIGNIFICANCE: In a population of healthy subjects without prior history of falls or medical illness that should affect gait, there were weak but significant age-related changes in objective measures of steady state gait and balance. Future prospective longitudinal data will help predict the relevance of this in relation to falls in the elderly.
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