A statistical approach to discriminate between non-fallers, rare fallers and frequent fallers in older adults based on posturographic data

Clinical Biomechanics
E MaranesiPierluigi Quadri

Abstract

Identification of future non-fallers, infrequent and frequent fallers among older people would permit focusing the delivery of prevention programs on selected individuals. Posturographic parameters have been proven to differentiate between non-fallers and frequent fallers, but not between the first group and infrequent fallers. In this study, postural stability with eyes open and closed on both a firm and a compliant surface and while performing a cognitive task was assessed in a consecutive sample of 130 cognitively able elderly, mean age 77(7)years, categorized as non-fallers (N=67), infrequent fallers (one/two falls, N=45) and frequent fallers (more than two falls, N=18) according to their last year fall history. Principal Component Analysis was used to select the most significant features from a set of 17posturographic parameters. Next, variables derived from principal component analysis were used to test, in each task, group differences between the three groups. One parameter based on a combination of a set of Centre of Pressure anterior-posterior variables obtained from the eyes-open on a compliant surface task was statistically different among all groups, thus distinguishing infrequent fallers from both non-fallers (P<0....Continue Reading

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Citations

Feb 22, 2017·PloS One·Jennifer HowcroftWilliam E McIlroy
Feb 10, 2021·International Journal of Environmental Research and Public Health·Isabella CampaniniAndrea Merlo
Nov 13, 2020·Neurophysiologie clinique = Clinical neurophysiology·Madli BayotArnaud Delval
Aug 8, 2021·International Journal of Environmental Research and Public Health·Jiyoung Song, Eunwon Lee

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