Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School.
Department of Psychology, Florida State University.
Neuropsychology. 2020 Nov;34(8):894-905. doi: 10.1037/neu0000707.
Attention-deficit/hyperactivity disorder (ADHD) confers elevated risk for automobile crashes, both as a clinical syndrome and continuously when examining risk as a function of symptom severity. However, the neurocognitive mechanisms and processes underlying this risk remain poorly understood. The current longitudinal study examined whether attention network components reflect neurocognitive pathways linking ADHD symptoms with adverse driving outcomes. Drivers from six U.S. sites participating in the Strategic Highway Research Program Naturalistic Driving Study (=3,226) were prospectively monitored for objectively identified crashes, near-crashes, and crash/near-crash fault. At study entry, drivers were assessed for ADHD symptoms; completed the Conners' Continuous Performance Test, Second Edition; and were then followed continuously for 1-2 years of routine, on-road driving using technology-enhanced in-car monitoring. Bias-corrected, bootstrapped mediation models examined the extent to which attention network components mediated the association between ADHD symptoms and future driving risk, controlling for known risk factors. As expected, self-reported ADHD symptoms predicted all markers of future driving risk. Higher ADHD symptoms were associated with reduced inhibitory control, lower levels of top-down attentional control (endogenous orienting), and greater arousal decrements (phasic alertness). Controlling for ADHD symptoms, top-down attentional control uniquely predicted future crashes, near-crashes, and culpability for future crashes/near-crashes; only arousal decrements portended future near-crashes. Only top-down attentional control significantly mediated the association between baseline ADHD symptoms and future driving risk. The driving risks associated with ADHD appear to be conveyed in part by impairments in the top-down, voluntary control of attention, rather than by difficulties sustaining attention over time or inhibiting impulses, as is often assumed. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
注意缺陷多动障碍(ADHD)会增加汽车事故的风险,无论是作为一种临床综合征还是在连续检查风险时作为症状严重程度的函数。然而,这种风险背后的神经认知机制和过程仍知之甚少。目前的纵向研究探讨了注意力网络成分是否反映了将 ADHD 症状与不良驾驶结果联系起来的神经认知途径。来自美国六个地点的战略公路研究计划自然驾驶研究(=3226)的参与者被前瞻性地监测到客观确定的碰撞、接近碰撞和碰撞/接近碰撞故障。在研究开始时,驾驶员接受 ADHD 症状评估;完成康纳斯连续性能测试,第二版;然后使用技术增强型车内监测,连续 1-2 年跟踪日常道路驾驶。偏置校正、引导中介模型检查了注意力网络成分在 ADHD 症状与未来驾驶风险之间的关联中的中介作用,控制了已知的风险因素。正如预期的那样,自我报告的 ADHD 症状预测了未来驾驶风险的所有标志物。较高的 ADHD 症状与抑制控制能力下降、较低的自上而下注意力控制(内源性定向)水平和较大的唤醒减退(相位警觉性)有关。控制 ADHD 症状后,自上而下的注意力控制可唯一预测未来的碰撞、接近碰撞和未来碰撞/接近碰撞的责任;只有唤醒减退预示着未来的接近碰撞。只有自上而下的注意力控制才能显著中介 ADHD 症状与未来驾驶风险之间的关系。与 ADHD 相关的驾驶风险似乎部分是由注意力的自上而下、自愿控制受损引起的,而不是像通常假设的那样,注意力随着时间的推移难以维持或抑制冲动。(PsycInfo 数据库记录(c)2020 APA,保留所有权利)。