Bioelectrical impedance analysis (BIA) has been used to investigate the body compositions and predict functional outcomes in patients with stroke, while the role of BIA to predict motor function or recovery in stroke has not been clarified. This study aimed to investigate relationship between body composition measured by BIA and upper limb motor function and recovery. Body compositions (soft tissue lean mass, phase angle, body fat mass and body water) of fifty patients who are admitted to the stroke rehabilitation unit were segmentally analyzed via BIA. The motor recovery of upper extremity (UE) was evaluated via Fugl-Meyer Assessment (UE-FMA) at the time of transfer and discharge. Correlations between body composition and UE-FMA at discharge were analyzed using Spearman correlation coefficient. Multiple regression analysis was used to determine the regression between body composition and motor function and recovery. The Δ Phase angle, the difference of both sides was significantly linearly inversely correlated with UE-FMA at discharge. However, in multiple regression analysis, body compositions including phase angle did not significantly predict motor function at discharge or motor recovery. The Δ Phase angle is related to the severity of upper limb motor function at discharge in subacute stroke patients, and further studies are needed to determine its value as a predictor for motor recovery.
Objective: Chronic low back pain (LBP) is a huge social burden, and optimal exercise therapies for chronic LBP patients are continuously being studied. To evaluate the effects of digital intervention on pain and disability in patients with chronic LBP, we performed a prospective cohort study. Method: From February 2020 to January 2021, 25 patients with chronic LBP were recruited. Digital intervention contains education contents and video demonstration for individually prescribed exercise. The exercise prescription was renewed every 4 weeks according to subjects' condition and accomplishment of exercise. This intervention was performed for more than 30 weeks. The pain intensity was assessed using a numeric rating scale (NRS) while their degree of disability was assessed using the Roland-Morris Disability Questionnaire (RMDQ). The pain intensity and disability was evaluated at short term (8∼20 weeks) and long term (30 weeks). Results: As a result, pain intensity (NRS) decreased significantly over the short term and long term (p<0.05). However, pain related disability (RMDQ score) did not change significantly over the follow-up period (p=0.554). Conclusion: Our findings indicate that online-based digital intervention reduced the intensity of chronic LBP. Further research is needed to identify methods to cost-effectively and consistently manage chronic LBP.
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