Do fall predictors in middle aged and older adults predict fall status in persons 50+ with fibromyalgia? An exploratory study.
We explored potential predictors of fall status in 70 community-dwelling persons > or =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.
Rutledge
Dana N
DN
Fibromyalgia Research and Education Center, Department of Nursing, California State University, Fullerton, CA 92620, USA.
Cherry
Barbara J
BJ
Rose
Debra J
DJ
Rakovski
Carter
C
Jones
C Jessie
CJ
D000058:Accidental Falls / Q000706:statistics & numerical data*; D000368:Aged; D000369:Aged, 80 and over; D001172:Arthritis, Rheumatoid / Q000453:epidemiology; D005260:Female; D005356:Fibromyalgia / Q000453:epidemiology* / Q000503:physiopathology*; D006304:Health Status; D006801:Humans; D008297:Male; D008875:Middle Aged; D004856:Postural Balance; D011237:Predictive Value of Tests; D012107:Research Design; D012307:Risk Factors; D012720:Severity of Illness Index