Tong Yujie, Rong Jifeng, Tian Xiaochun, Wang Yejun, Chen Zhengquan, Adams Roger, Witchalls Jeremy, Waddington Gordon, El-Ansary Doa, Wu Sam, Tirosh Oren, Wu Tao, Han Jia
Department of Rehabilitation Therapy, The First Rehabilitation Hospital of Shanghai, Shanghai,China.
School of Exercise and Health, Shanghai University of Sport, Shanghai,China.
J Aging Phys Act. 2023 Jun 1;31(6):948-955. doi: 10.1123/japa.2022-0341. Print 2023 Dec 1.
This prospective study aimed to determine which specific mobility tests were the most accurate for predicting falls in physically active older adults living in the community. Seventy-nine physically active older adults who met the American College of Sports Medicine physical activity guidelines volunteered. Participants were assessed and followed up for 12 months. Mobility assessments included the 30-s sit-to-stand test, five times sit-to-stand test, single-task timed-up-and-go test (TUG), motor dual-task TUG (Mot-TUG), and cognitive dual-task TUG (Cog-TUG). Mot-TUG and Cog-TUG performances were moderately correlated with number of falls (r = .359, p < .01 and r = .372, p < .01, respectively). When Mot-TUG, Cog-TUG, or Age were included as fall predictors, discrimination scores represented by the area under the receiver operating characteristic curve (AUC) were AUC (Mot-TUG) = 0.843 (p < .01), AUC (Cog-TUG) = 0.856 (p < .01), and AUC (Age) = 0.734 (p < .05). The cutoff point for Cog-TUG was 10.98 s, with test sensitivity of 1.00 and specificity of 0.66. Fall predictors for different populations may be based on different test methods. Here, the dual-task TUG test more accurately predicted falls in older adults who met American College of Sports Medicine's physical activity guidelines.
这项前瞻性研究旨在确定哪些特定的身体活动能力测试对于预测居住在社区中的身体活跃的老年人跌倒最为准确。79名符合美国运动医学学院身体活动指南的身体活跃的老年人自愿参与。对参与者进行了评估,并随访了12个月。身体活动能力评估包括30秒坐立试验、五次坐立试验、单任务定时起立行走试验(TUG)、运动双任务TUG(Mot-TUG)和认知双任务TUG(Cog-TUG)。Mot-TUG和Cog-TUG的表现与跌倒次数呈中度相关(r = 0.359,p < 0.01和r = 0.372,p < 0.01)。当将Mot-TUG、Cog-TUG或年龄作为跌倒预测因素时,由受试者工作特征曲线(AUC)下面积表示的判别分数分别为AUC(Mot-TUG)= 0.843(p < 0.01),AUC(Cog-TUG)= 0.856(p < 0.01),AUC(年龄)= 0.734(p < 0.05)。Cog-TUG的截断点为10.98秒,测试灵敏度为1.00,特异性为0.66。不同人群的跌倒预测因素可能基于不同的测试方法。在此,双任务TUG测试能更准确地预测符合美国运动医学学院身体活动指南的老年人跌倒情况。