Movement Disorders Unit, Department of Neurology, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel.
J Gerontol A Biol Sci Med Sci. 2010 Oct;65(10):1086-92. doi: 10.1093/gerona/glq077. Epub 2010 May 19.
Executive function (EF) deficits may increase fall risk, even among older adults with no overt cognitive impairment. Indeed, the effects of dual tasking (DT) on gait, a challenge to executive control, are more exaggerated in persons with a history of falls. Prospective evidence is, however, lacking.
We prospectively evaluated whether EF predicts falls over a 2-year period among 262 community-living, healthy, and well-functioning older adults, focusing on the 201 who reported no falls during the previous year. At baseline, participants completed a computerized cognitive battery that generated an index of EF and other cognitive domains. Gait was assessed using performance-based tests and by quantifying walking during single- and dual-task conditions.
The 262 participants (mean age: 76.3 ± 4.3 years, 60.3% women) had intact cognitive function on testing, a low comorbidity index, and good mobility. The EF index predicted future falls. Among those who reported no previous falls, participants in the worst EF quartile were three times more likely to fall during the 2 years of follow-up, and they were more likely to transition from nonfaller to faller sooner. DT gait variability also predicted future falls and multiple falls, whereas other measures of cognitive function, gait, and mobility did not.
Among healthy older adults, individuals with poorer EF are more prone to falls. Higher-level cognitive functions such as those regulated by the frontal lobes are apparently needed for safe everyday navigation that demands multitasking. Optimal screening, early detection, and treatment of falls should, apparently, also target this cognitive domain.
执行功能 (EF) 缺陷可能会增加跌倒风险,即使在没有明显认知障碍的老年人中也是如此。事实上,在有跌倒史的人群中,双任务 (DT) 对步态的影响(这是对执行控制的挑战)更为明显。然而,目前还缺乏前瞻性证据。
我们前瞻性地评估了在 262 名居住在社区、健康且功能良好的老年人中,EF 是否在 2 年内预测跌倒,重点关注在过去 1 年内没有跌倒的 201 名老年人。在基线时,参与者完成了一项计算机认知测试,该测试生成了 EF 和其他认知领域的指数。步态通过基于表现的测试和量化单任务和双任务条件下的行走来评估。
262 名参与者(平均年龄:76.3 ± 4.3 岁,60.3%为女性)在测试中认知功能正常,合并症指数低,移动能力良好。EF 指数预测未来跌倒。在没有报告过去跌倒的参与者中,EF 最差四分之一的参与者在接下来的 2 年随访中跌倒的可能性增加了三倍,并且他们更有可能更早地从非跌倒者转变为跌倒者。DT 步态变异性也预测未来跌倒和多次跌倒,而其他认知功能、步态和移动能力的测量则没有。
在健康的老年人中,执行功能较差的个体更容易跌倒。额叶等高级认知功能显然是安全日常导航所必需的,这需要多任务处理。显然,跌倒的最佳筛查、早期发现和治疗也应该针对这一认知领域。