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Journal Article

Citation

Rutledge DN, Cherry BJ, Rose DJ, Rakovski C, Jones CJ. Res. Nurs. Health 2010; 33(3): 192-206.

Affiliation

California State University, Fullerton, CA.

Copyright

(Copyright © 2010, John Wiley and Sons)

DOI

10.1002/nur.20376

PMID

20499390

Abstract

We explored potential predictors of fall status in 70 community-dwelling persons >/=50 years of age with fibromyalgia (FM). Over 40% of the sample reported one or more falls in the year prior to the study. A logistic regression model using 10 variables known to predict falls in middle aged and older persons predicted 45% of the variance in fall status. Three variables offered significant independent contributions to the overall model predicting fall status: perception of postural instability, balance performance, and executive function processing speed. The results support prior work in both nonclinical and clinical populations of middle aged and older adults indicating that falls are associated with multiple risk factors. Prospective designs with larger samples are needed to (a) validate and extend these findings, and (b) identify risk factors related to fall status that are unique to persons with FM. (c) 2010 Wiley Periodicals, Inc. Res Nurs Health 33:192-206, 2010.


Language: en

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