Moharrer Mojtaba, Wang Shuhang, Davis Jennifer D, Ott Brian R, Luo Gang
Schepens Eye Research Institute, Mass Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, MA, USA.
Department of Psychiatry & Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA.
J Alzheimers Dis Rep. 2020 Jan 2;4(1):1-7. doi: 10.3233/ADR-190159.
Controlled naturalistic driving for examining impacts of cognitive impairment on driving safety is rare.
Evaluating the safety among drivers with mild cognitive impairment based on near collision incidents using naturalistic driving, and investigating its correlation with cognitive measures.
Frequency of near collisions of 44 cognitively impaired [Age = 75.1(±6.7), MMSE = 25.5(±2.5)] and 19 control group drivers [Age = 72.5(±7.8), MMSE = 29.3(±0.8)] were obtained from two weeks of recorded driving. Survival time free of predicted collision based on a previously established near-collision to collision estimate ratio of 11 : 1, for 140 hours of driving exposure was calculated. Participants were also tested using Mini-Mental Status Examination (MMSE), Trail A, and Trail B. Spearman correlation and Cox survival analysis were conducted.
Near collision frequency per driving hour was correlated with MMSE ( = -0.258, = 0.041). Survival analyses showed that cognitively impaired drivers might be prone to higher probability of having collision ( = 0.056) with a hazard ratio of 5.78 ( = 0.092). When all participants were combined, there was a significant difference ( < 0.017) in all the three cognitive measures between drivers with and without predicted collision, which were not significant within patient or control group alone ( > 0.186). Cox regression analysis showed MMSE as the only significant factor ( < 0.025) for survival time of predicted collision, but not age, gender, or driving experience.
The association between driving critical events and cognitive measures suggests that some drivers with mild cognitive impairment might have an elevated driving collision risk compared to control drivers. Standard clinical cognitive measures may be reasonable predictors.
通过自然驾驶来研究认知障碍对驾驶安全影响的对照性自然驾驶研究很少见。
基于自然驾驶中的险些碰撞事件评估轻度认知障碍驾驶员的安全性,并研究其与认知测量指标的相关性。
从两周的驾驶记录中获取44名认知障碍驾驶员[年龄=75.1(±6.7),简易精神状态检查表(MMSE)=25.5(±2.5)]和19名对照组驾驶员[年龄=72.5(±7.8),MMSE=29.3(±0.8)]的险些碰撞频率。根据先前确定的险些碰撞与碰撞估计比率11∶1,计算140小时驾驶暴露时间内无预测碰撞的存活时间。参与者还接受了简易精神状态检查表(MMSE)、A组连线测试和B组连线测试。进行了斯皮尔曼相关性分析和Cox生存分析。
每驾驶小时的险些碰撞频率与MMSE相关(r=-0.258,P=0.041)。生存分析表明,认知障碍驾驶员发生碰撞的概率可能更高(P=0.056),风险比为5.78(P=0.092)。当将所有参与者合并时,有预测碰撞的驾驶员和无预测碰撞的驾驶员在所有三项认知测量指标上存在显著差异(P<0.017),但单独在患者组或对照组内差异不显著(P>0.186)。Cox回归分析表明,MMSE是预测碰撞存活时间的唯一显著因素(P<0.025),而年龄、性别或驾驶经验不是。
驾驶关键事件与认知测量指标之间的关联表明,一些轻度认知障碍驾驶员与对照驾驶员相比,驾驶碰撞风险可能更高。标准的临床认知测量指标可能是合理的预测指标。