Article thumbnail

Prediction of future falls in a community dwelling older adult population using instrumented balance and gait analysis

By Christoph Bauer, I. Gröger, R. Rupprecht, V.L. Marcar and K.G. Gaßmann


Background The role of instrumented balance and gait assessment when screening for prospective fallers is currently a topic of controversial discussion. Objectives This study analyzed the association between variables derived from static posturography, instrumented gait analysis and clinical assessments with the occurrence of prospective falls in a sample of community dwelling older people. Methods In this study 84 older people were analyzed. Based on a prospective occurrence of falls, participants were categorized into fallers and non-fallers. Variables derived from clinical assessments, static posturography and instrumented gait analysis were evaluated with respect to the association with the occurrence of prospective falls using a forward stepwise, binary, logistic regression procedure. Results Fallers displayed a significantly shorter single support time during walking while counting backwards, increased mediolateral to anteroposterior sway amplitude ratio, increased fast mediolateral oscillations and a larger coefficient (Coeff) of sway direction during various static posturography tests. Previous falls were insignificantly associated with the occurrence of prospective falls. Conclusion Variables derived from posturography and instrumented gait analysis showed significant associations with the occurrence of prospective falls in a sample of community dwelling older adults

Topics: Accidental falls, Gait, Geriatric assessment, Postural balance, Prognosis, Accidental Falls, Actigraphy, Aged, Female, Forecasting, Gait, Geriatric Assessment, Humans, Independent Living, Male, Postural Balance, Prognosis, Reproducibility of Results, Risk Assessment, Sensitivity and Specificity, 305: Soziale Gruppen, 610: Medizin und Gesundheit
Publisher: Springer
Year: 2016
DOI identifier: 10.1007/s00391-015-0885-0
OAI identifier:
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • https://digitalcollection.zhaw... (external link)
  • (external link)
  • (external link)
  • (external link)
  • Suggested articles

    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.