Kobayashi Takaomi, Morimoto Tadatsugu, Shimanoe Chisato, Ono Rei, Otani Koji, Mawatari Masaaki
Department of Orthopaedic Surgery, Faculty of Medicine, Saga University, 5-1-1 Nabeshima, Saga 849-8501, Japan.
Department of Pharmacy, Saga University Hospital, Saga 849-0937, Japan.
Life (Basel). 2023 May 16;13(5):1190. doi: 10.3390/life13051190.
This study determined the cut-off time for the one-leg standing test (OLST) to simply screen the severity of locomotive syndrome (LS). We conducted this cross-sectional study on 1860 community-dwelling residents (age, 70.5 ± 9.5 years old; males, = 826; females, = 1034) who underwent the OLST and completed the 25-question geriatric locomotive function scale (GLFS-25). Multivariate linear regression and multivariate logistic regression analyses were conducted to assess the relationship between the OLST and the GLFS-25 score and LS after adjusting for age, sex, and body mass index. A receiver operating characteristic (ROC) curve analysis was performed to calculate the optimal cut-off time of the OLST for determining LS severity. The multivariate linear regression and multivariate logistic regression analyses showed that the OLST was significantly associated with the GLFS-25 score and a diagnosis of LS. The optimal cut-off times of the OLST to screen LS-1, LS-2, and LS-3 were 42 s (sensitivity 65.8%, specificity 65.3%), 27 s (sensitivity 72.7%, specificity 72.5%), and 19 s (sensitivity 77.4%, specificity 76.8%), respectively. We developed a simplified screening tool for the OLST to determine LS severity.
本研究确定了单腿站立试验（OLST）用于简单筛查运动机能综合征（LS）严重程度的截止时间。我们对1860名社区居民（年龄70.5±9.5岁；男性826名，女性1034名）进行了这项横断面研究，这些居民接受了OLST并完成了25题老年运动机能功能量表（GLFS - 25）。在对年龄、性别和体重指数进行调整后，进行多变量线性回归和多变量逻辑回归分析，以评估OLST与GLFS - 25评分及LS之间的关系。进行受试者工作特征（ROC）曲线分析，以计算OLST用于确定LS严重程度的最佳截止时间。多变量线性回归和多变量逻辑回归分析表明，OLST与GLFS - 25评分及LS诊断显著相关。筛查LS - 1、LS - 2和LS - 3的OLST最佳截止时间分别为42秒（灵敏度65.8%，特异度65.3%）、27秒（灵敏度72.7%，特异度72.5%）和19秒（灵敏度77.4%，特异度76.8%）。我们开发了一种用于OLST的简化筛查工具，以确定LS严重程度。
