The relationship between sitting balance, trunk control and mobility with predictive for current mobility level in survivors of sub-acute stroke

• Published in: PloS one 2021-08, Vol.16 (8), p.e0251977-e0251977
• Main Authors: Lee, Kyeongbong, Lee, DongGeon, Hong, SoungKyun, Shin, DooChul, Jeong, SeYeon, Shin, HyeonHui, Choi, Wonjae, An, SeungHeon, Lee, GyuChang
• Format: Article
• Language: English
• Subjects: Biology and Life Sciences; Engineering and Technology; Equilibrium (Physics); Medicine and Health Sciences; Physical Sciences; Physiological aspects; Research and Analysis Methods; Social Sciences; Stroke (Disease)
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0251977

To investigate the relationship between sitting balance, trunk control, and mobility, as well as whether the sitting balance and trunk control can predict mobility level in sub-acute stroke survivors. This is a observational and cross-sectional study. Fifty-five hemiplegic stroke survivors were participated in this study. The Timed Up and Go Test (TUG) was used to estimate mobility, and the Sitting Balance Scale (SBS) was used to examining sitting balance. The Trunk Impairment Scale (TIS), Trunk Control Test (TCT), and Postural Assessment Scale for Stroke-trunk control (PASS-TC) were used for examining the trunk control. Spearman's correlation was used to analyze the relationship between TUG, SBS, TIS, TCT, and PASS-TC. The TUG is significantly correlated with SBS (r = -0.78), TIS (r = -0.76), TCT (r = -0.65), and PASS-TC (r = -0.67). In addition, the receiver operation characteristic (ROC) curve showed as cut-off value of SBS as >28.5, TIS > 16.5, TCT >82, and PASS-TC >10.5. The area under the ROC curve in each of the four tests is moderately accurate for predicting the mobility of sub-acute stroke survivors (0.84 ~0.90) (0.7 < AUC [less than or equal to] 9 (moderate informative)). The SBS showed the highest correlation for mobility using TUG in the hemiplegic stroke survivors. Also, SBS was revealed as the most dominant examination tool predicting the mobility by TUG, it can be explained the sitting postural balance is the variable predicting the mobility in survivors of sub-acute stroke.