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Modeling Recovery from Stumbles: Preliminary Data on Variable Selection and Classification Efficacy
Author(s) -
Grabiner M. D.,
Jahnigen D. W.
Publication year - 1992
Publication title -
journal of the american geriatrics society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.992
H-Index - 232
eISSN - 1532-5415
pISSN - 0002-8614
DOI - 10.1111/j.1532-5415.1992.tb01989.x
Subject(s) - medicine , selection (genetic algorithm) , machine learning , computer science
Objective The primary purpose of this preliminary investigation was to determine the functional relationship between selected information processing time and response execution variables and measures of postural stability in elderly women. A secondary purpose was to explore the efficacy of a neuromotor model using selected variables to retrospectively identify subjects with a self‐reported history of falling. Design Descriptive, retrospective, cohort. Setting General community. Subjects Convenience sample of 17 community‐dwelling females with a mean age of 72.2 years. Main Outcome Measures Postural stability variables included the amplitude and frequency of postural sway during static vision‐aided and no‐vision conditions. Information processing and response execution variables were collected using a simple‐choice reaction time paradigm for an isometric knee extension task. Results Postural stability and information processing variables were functionally independent. Based upon significant intergroup differences, simple and choice pre‐motor reaction time and non‐vision aided anterior posterior sway amplitude were selected for inclusion in a discriminant analysis. The resulting discriminant function was significant ( P = 0.01), correctly categorizing all of the subjects with a self‐reported history of falling and identifying six out of seven of the non‐fallers. Conclusions These preliminary results suggest that it is feasible to identify a predisposition to falling by detecting an inability to respond successfully to a postural disturbance.