Beauchet Olivier, Dubost Véronique, Allali Gilles, Gonthier Régis, Hermann François R, Kressig Reto W
Department of Geriatrics, Saint-Etienne University Hospitals, Saint-Etienne, France.
Age Ageing. 2007 Jul;36(4):418-23. doi: 10.1093/ageing/afm011. Epub 2007 Mar 9.
To establish whether changes in a spoken verbal task performance while walking compared with being at rest could predict falls among older adults.
Prospective cohort study of 12 months' duration.
Twenty-seven senior housing facilities.
Sample of 187 subjects aged 75-100 (mean age 84.8 +/- 5.2). During enrollment, participants were asked to count aloud backward from 50, both at rest and while walking and were divided into two groups according to their counting performance. Information on incident falls during the follow-up year was monthly collected.
The number of enumerated figures while sitting on a chair and while walking, and the first fall that occurred during the follow up year.
The number of enumerated figures under dual-task as compared to single task increased among 31.5% of the tested subjects (n = 59) and was associated with lower scores in MMSE (P = 0.034), and higher scores in Geriatric Depression Scale (P = 0.007) and Timed Up & Go (P = 0.005). During the 12 months follow-up, 54 subjects (28.9%) fell. After adjusting for these variables, the increase in counting performance was significantly associated with falls (adjusted OR = 53.3, P < 0.0001). Kaplan-Meier distributions of falls differed significantly between subjects who either increased or decreased their counting performance (P < 0.0001).
Faster counting while walking was strongly associated with falls, suggesting that better performance in an additional verbal counting task while walking might represent a new way to predict falls among older adults.
确定与静息状态相比,行走时口语任务表现的变化是否能预测老年人跌倒。
为期12个月的前瞻性队列研究。
27个老年住房设施。
187名年龄在75 - 100岁(平均年龄84.8±5.2岁)的受试者样本。在入组时,要求参与者在静息和行走时从50开始大声倒数,并根据他们的计数表现分为两组。每月收集随访年度内跌倒事件的信息。
坐在椅子上和行走时计数的数字数量,以及随访年度内发生的首次跌倒。
31.5%的受试对象(n = 59)在双重任务下相比单一任务时计数的数字数量增加,且与简易精神状态检查表(MMSE)得分较低(P = 0.034)、老年抑郁量表得分较高(P = 0.007)以及计时起立行走测试(Timed Up & Go)得分较高(P = 0.005)相关。在12个月的随访期间,54名受试者(28.9%)跌倒。在对这些变量进行调整后,计数表现的增加与跌倒显著相关(调整后的比值比 = 53.3,P < 0.0001)。计数表现增加或减少的受试者之间跌倒的Kaplan-Meier分布有显著差异(P < 0.0001)。
行走时计数速度更快与跌倒密切相关,这表明在行走时额外的口头计数任务中表现更好可能是预测老年人跌倒的一种新方法。