OBJECTIVE: To investigate the ability of the Timed Up & Go test to identify patients with Parkinson's disease at risk for a fall. DESIGN: Cross-sectional cohort study. SETTING: Sixteen participating National Parkinson's Foundation Centers of Excellence. PARTICIPANTS: A query yielded a total of 2985 records (1828 men and 1157 women). From these, 884 were excluded because of a lack of crucial information (age, diagnosis, presence of deep brain stimulation, disease duration, inability of performing the Timed Up & Go test without assistance) at the time of testing, leaving 2097 patients included in the analysis. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: The primary outcome measure for this study was falls. The chief independent variable was the Timed Up & Go test. RESULTS: The initial model examined the prediction of falls from the Timed Up & Go test, adjusting for all study covariates. The estimated models in the imputed data sets represented a significant improvement above chance (χ(2) range [df=17], 531.29-542.39, P<.001), suggesting that 74% of participants were accurately classified as a faller or nonfaller. The secondary model in which the question of whether the effect of Timed Up & Go test was invariant across disease severity demonstrated 75% of participants were accurately classified as a faller or nonfaller. Additional analysis revealed a proposed cut score of 11.5 seconds for discrimination of those who did or did not fall. CONCLUSIONS: The findings suggest that the Timed Up & Go test may be an accurate assessment tool to identify those at risk for falls.
OBJECTIVE: To investigate the ability of the Timed Up & Go test to identify patients with Parkinson's disease at risk for a fall. DESIGN: Cross-sectional cohort study. SETTING: Sixteen participating National Parkinson's Foundation Centers of Excellence. PARTICIPANTS: A query yielded a total of 2985 records (1828 men and 1157 women). From these, 884 were excluded because of a lack of crucial information (age, diagnosis, presence of deep brain stimulation, disease duration, inability of performing the Timed Up & Go test without assistance) at the time of testing, leaving 2097 patients included in the analysis. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: The primary outcome measure for this study was falls. The chief independent variable was the Timed Up & Go test. RESULTS: The initial model examined the prediction of falls from the Timed Up & Go test, adjusting for all study covariates. The estimated models in the imputed data sets represented a significant improvement above chance (χ(2) range [df=17], 531.29-542.39, P<.001), suggesting that 74% of participants were accurately classified as a faller or nonfaller. The secondary model in which the question of whether the effect of Timed Up & Go test was invariant across disease severity demonstrated 75% of participants were accurately classified as a faller or nonfaller. Additional analysis revealed a proposed cut score of 11.5 seconds for discrimination of those who did or did not fall. CONCLUSIONS: The findings suggest that the Timed Up & Go test may be an accurate assessment tool to identify those at risk for falls.
Authors: Ruth M Pickering; Yvette A M Grimbergen; Una Rigney; Ann Ashburn; Gordon Mazibrada; Brian Wood; Peggy Gray; Graham Kerr; Bastiaan R Bloem Journal: Mov Disord Date: 2007-10-15 Impact factor: 10.338
Authors: Mariese A Hely; Wayne G J Reid; Michael A Adena; Glenda M Halliday; John G L Morris Journal: Mov Disord Date: 2008-04-30 Impact factor: 10.338
Authors: James L Rogers; Julianie De La Cruz Minyety; Elizabeth Vera; Alvina A Acquaye; Samuel S Payén; Jeffrey S Weinberg; Terri S Armstrong; Shiao-Pei S Weathers Journal: Neurooncol Pract Date: 2022-02-17
Authors: Peter C Douris; Zachary S Cogen; Helen T Fields; Lauren C Greco; Matthew R Hasley; Christina M Machado; Peter M Romagnuolo; George Stamboulis; Joanne DiFrancisco-Donoghue Journal: Int J Sports Phys Ther Date: 2018-04
Authors: Andrea Santamato; Maurizio Ranieri; Nicoletta Cinone; Lucia Anna Stuppiello; Giovanni Valeno; Jula Laura De Sanctis; Francesca Fortunato; Vincenzo Solfrizzi; Antonio Greco; Davide Seripa; Francesco Panza Journal: Parkinsons Dis Date: 2015-12-22