Objective: This study aimed to predict balance and gait abilities with the Trunk Impairment scales (TIS) in persons with stroke. Design: Cross-sectional study. Methods: Sixty-eight participants with stoke were assessed with the TIS, Berg Balance scale (BBS), and Functional Gait Assessment (FGA) by a therapist. To describe of general characteristics, we used descriptive and frequency analyses, and the TIS was used as a predictive variable to determine the BBS. In the simple regression analysis, the TIS was used as a predictive variable for the BBS and FGA, and the TIS and BBS were used as predictive variables to determine the FGA in multiple regression analysis. Results: In the group with a BBS score of >45 for regression equation for predicting BBS score using TIS score, the coefficient of determination (R2) was 0.234, and the R2 was 0.500 in the group with a BBS score of ≤45. In the group with an FGA score >15 for regression equation for predicting FGA score using TIS score, the R2 was 0.193, and regression equation for predicting FGA score using TIS score, the R2 was 0.181 in the group of FGA score ≤15. In the group of FGA score >15 for regression equation for predicting FGA score using TIS and BBS score, the R2 was 0.327. In the group of FGA score ≤15 for regression equation for predicting FGA score using TIS and BBS score, the R2 was 0.316. Conclusions: The TIS scores are insufficient in predicting the FGA and BBS scores in those with higher balance ability, and the BBS and TIS could be used for predicting variables for FGA. However, TIS is a strong predictive variable for persons with stroke who have poor balance ability.
Objective: This study aimed to predict balance and gait abilities with the Trunk Impairment scales (TIS) in persons with stroke. Design: Cross-sectional study. Methods: Sixty-eight participants with stoke were assessed with the TIS, Berg Balance scale (BBS), and Functional Gait Assessment (FGA) by a therapist. To describe of general characteristics, we used descriptive and frequency analyses, and the TIS was used as a predictive variable to determine the BBS. In the simple regression analysis, the TIS was used as a predictive variable for the BBS and FGA, and the TIS and BBS were used as predictive variables to determine the FGA in multiple regression analysis. Results: In the group with a BBS score of >45 for regression equation for predicting BBS score using TIS score, the coefficient of determination (R2) was 0.234, and the R2 was 0.500 in the group with a BBS score of ≤45. In the group with an FGA score >15 for regression equation for predicting FGA score using TIS score, the R2 was 0.193, and regression equation for predicting FGA score using TIS score, the R2 was 0.181 in the group of FGA score ≤15. In the group of FGA score >15 for regression equation for predicting FGA score using TIS and BBS score, the R2 was 0.327. In the group of FGA score ≤15 for regression equation for predicting FGA score using TIS and BBS score, the R2 was 0.316. Conclusions: The TIS scores are insufficient in predicting the FGA and BBS scores in those with higher balance ability, and the BBS and TIS could be used for predicting variables for FGA. However, TIS is a strong predictive variable for persons with stroke who have poor balance ability.
Introduction Methods Results Discussion
