Kyeongbong Lee1, DongGeon Lee2, SoungKyun Hong3, DooChul Shin4, SeYeon Jeong5, HyeonHui Shin6, Wonjae Choi7, SeungHeon An8, GyuChang Lee4. 1. Department of Physical Therapy, Kangwon National University, Samcheok, Republic of Korea. 2. Department of Physical Therapy, Sinsegye Nursing Care Facility, Changwon, Republic of Korea. 3. Department of Physical Therapy, Woosuk University, Wanju, Republic of Korea. 4. Department of Physical Therapy, Kyungnam University, Changwon, Republic of Korea. 5. Department of Physical Therapy, Graduate School of Kyungnam University, Changwon, Republic of Korea. 6. Department of Occupational Therapy, Dongseo University, Busan, Republic of Korea. 7. Department of Physical Therapy, Joongbu University, Geumsan, Republic of Korea. 8. Department of Physical Therapy, National Rehabilitation Center, Seoul, Republic of Korea.
Abstract
OBJECTIVE: 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. METHODS: 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. RESULTS: 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 ≤ 9 (moderate informative)). IMPLICATIONS: 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.
OBJECTIVE: 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. METHODS: 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. RESULTS: 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 ≤ 9 (moderate informative)). IMPLICATIONS: 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.