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

<h4>Objective</h4> 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. <h4>Methods</h4> This is a observational and cross-secti...

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Main Authors: Kyeongbong Lee, DongGeon Lee, SoungKyun Hong, DooChul Shin, SeYeon Jeong, HyeonHui Shin, Wonjae Choi, SeungHeon An, GyuChang Lee
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2021-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8341576/?tool=EBI
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author Kyeongbong Lee
DongGeon Lee
SoungKyun Hong
DooChul Shin
SeYeon Jeong
HyeonHui Shin
Wonjae Choi
SeungHeon An
GyuChang Lee
author_facet Kyeongbong Lee
DongGeon Lee
SoungKyun Hong
DooChul Shin
SeYeon Jeong
HyeonHui Shin
Wonjae Choi
SeungHeon An
GyuChang Lee
author_sort Kyeongbong Lee
collection DOAJ
description <h4>Objective</h4> 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. <h4>Methods</h4> 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. <h4>Results</h4> 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)). <h4>Implications</h4> 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.
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spelling doaj.art-b7ee4a985c21465f92deece20cf0b8ca2022-12-21T22:30:37ZengPublic Library of Science (PLoS)PLoS ONE1932-62032021-01-01168The relationship between sitting balance, trunk control and mobility with predictive for current mobility level in survivors of sub-acute strokeKyeongbong LeeDongGeon LeeSoungKyun HongDooChul ShinSeYeon JeongHyeonHui ShinWonjae ChoiSeungHeon AnGyuChang Lee<h4>Objective</h4> 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. <h4>Methods</h4> 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. <h4>Results</h4> 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)). <h4>Implications</h4> 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.https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8341576/?tool=EBI
spellingShingle Kyeongbong Lee
DongGeon Lee
SoungKyun Hong
DooChul Shin
SeYeon Jeong
HyeonHui Shin
Wonjae Choi
SeungHeon An
GyuChang Lee
The relationship between sitting balance, trunk control and mobility with predictive for current mobility level in survivors of sub-acute stroke
PLoS ONE
title The relationship between sitting balance, trunk control and mobility with predictive for current mobility level in survivors of sub-acute stroke
title_full The relationship between sitting balance, trunk control and mobility with predictive for current mobility level in survivors of sub-acute stroke
title_fullStr The relationship between sitting balance, trunk control and mobility with predictive for current mobility level in survivors of sub-acute stroke
title_full_unstemmed The relationship between sitting balance, trunk control and mobility with predictive for current mobility level in survivors of sub-acute stroke
title_short The relationship between sitting balance, trunk control and mobility with predictive for current mobility level in survivors of sub-acute stroke
title_sort relationship between sitting balance trunk control and mobility with predictive for current mobility level in survivors of sub acute stroke
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8341576/?tool=EBI
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