Association between timed up and go test score and frailty syndrome in community-dwelling older adults

Poster Presentation
Paper ID : 1704-SSRC
Authors
1Department of Exercise Physiology, Faculty of Sport Sciences, Alzahra University, Tehran, Iran.
2Department of Exercise physiology, Faculty of Sport sciences, Alzahra University, Tehran Iran
3Department of Sport Sciences, University of Bojnord, Bojnord, North Khorasan, Iran.
4استادیار گروه آسیب شناسی ورزشی و حرکات اصلاحی پژوهشگاه علوم ورزشی، تهران، ایران
Abstract
Background: Associations between frailty syndrome and timed up and go test scores in elderly individuals is not well explored in community-dwelling older adults. Purpose: This study analyzed the relationship between frailty syndrome index (FS) and timed up and go test score (TUG) and screening of frailty syndrome in elderly individuals through TUG. Methods: This study was conducted with 161 community-dwelling elderly individuals (n = 161, Males: n=91, age= 68.01 ± 6.88 years, height= 1.63 ± 0.09 m, mass= 69.87 ± 11.46 kg, BMI=26.27 ± 4.49 kg.m-2) living in Tehran. TUG and the following FS indicators were assessed: weight loss, exhaustion, weakness, slowness, and low physical activity level. Spearman correlation assessed the association, logistic regression created a model for prediction, and the receiving operating characteristics curve analysis assessed the predictive performance of TUG for FS. Results: Significant correlation was found between FS and TUG score (r = .654; p < .001). The overall model created via the logistic regression was statistically significant when compared to the null model (X2(1) = 40.411, p˂0.001), this model explained 30 % of the variation of the frailty index (meaning that frailty phenotype can be explained by this full model), suggesting that predictions are fairly reliable. Furthermore, 70.8 % of the individuals were correctly classified using the model which is a large improvement. Finally, a receiving operating characteristics curve analysis revealed good diagnostic accuracy for predicting FS using the TUG test (Area Under Curve [AUC]=. 802, 95% CI [0.734-0.869]; sensitivity and specificity were 79% and 66% for the cutoff ≥ 10.07 seconds). Conclusion: Thus, the TUG test is a promising tool for screening in community-dwelling older adults for risk of FS. Older adults with poor function of TUG are at a significant risk of developing frailty and should be considered for targeted frailty prevention strategies.
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