Ott Brian R, Festa Elena K, Amick Melissa M, Grace Janet, Davis Jennifer D, Heindel William C
Department of Clinical Neurosciences, Brown University, Providence, Rhode Island, USA.
J Geriatr Psychiatry Neurol. 2008 Mar;21(1):18-25. doi: 10.1177/0891988707311031.
This study examined the ability of computerized maze test performance to predict the road test performance of cognitively impaired and normal older drivers. The authors examined 133 older drivers, including 65 with probable Alzheimer disease, 23 with possible Alzheimer disease, and 45 control subjects without cognitive impairment. Subjects completed 5 computerized maze tasks employing a touch screen and pointer as well as a battery of standard neuropsychological tests. Parameters measured for mazes included errors, planning time, drawing time, and total time. Within 2 weeks, subjects were examined by a professional driving instructor on a standardized road test modeled after the Washington University Road Test. Road test total score was significantly correlated with total time across the 5 mazes. This maze score was significant for both Alzheimer disease subjects and control subjects. One maze in particular, requiring less than 2 minutes to complete, was highly correlated with driving performance. For the standard neuropsychological tests, highest correlations were seen with Trail Making A (TrailsA) and the Hopkins Verbal Learning Tests Trial 1 (HVLT1). Multiple regression models for road test score using stepwise subtraction of maze and neuropsychological test variables revealed significant independent contributions for total maze time, HVLT1, and TrailsA for the entire group; total maze time and HVLT1 for Alzheimer disease subjects; and TrailsA for normal subjects. As a visual analog of driving, a brief computerized test of maze navigation time compares well to standard neuropsychological tests of psychomotor speed, scanning, attention, and working memory as a predictor of driving performance by persons with early Alzheimer disease and normal elders. Measurement of maze task performance appears to be useful in the assessment of older drivers at risk for hazardous driving.
本研究考察了计算机化迷宫测试表现预测认知受损及正常老年驾驶员道路测试表现的能力。作者对133名老年驾驶员进行了研究,其中包括65名可能患有阿尔茨海默病的患者、23名可能患有阿尔茨海默病的患者以及45名无认知障碍的对照受试者。受试者完成了5项使用触摸屏和指针的计算机化迷宫任务以及一系列标准神经心理学测试。迷宫测试测量的参数包括错误次数、规划时间、绘图时间和总时间。在2周内,由专业驾驶教练按照华盛顿大学道路测试标准对受试者进行标准化道路测试。道路测试总分与5个迷宫的总时间显著相关。该迷宫分数对阿尔茨海默病受试者和对照受试者均具有显著意义。特别是有一个完成时间不到2分钟的迷宫,与驾驶表现高度相关。对于标准神经心理学测试,与连线测验A(TrailsA)和霍普金斯词语学习测验第1次试验(HVLT1)的相关性最高。使用逐步减去迷宫和神经心理学测试变量的道路测试分数多元回归模型显示,总迷宫时间、HVLT1和TrailsA对整个组有显著的独立贡献;总迷宫时间和HVLT1对阿尔茨海默病受试者有显著独立贡献;TrailsA对正常受试者有显著独立贡献。作为驾驶的视觉模拟,简短的计算机化迷宫导航时间测试与心理运动速度、扫描、注意力和工作记忆的标准神经心理学测试相比,在预测早期阿尔茨海默病患者和正常老年人的驾驶表现方面表现良好。测量迷宫任务表现似乎有助于评估有危险驾驶风险的老年驾驶员。