Department of neuropsychology and psychopharmacology, Maastricht University, Maastricht, The Netherlands.
Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands.
Psychopharmacology (Berl). 2020 Mar;237(3):877-886. doi: 10.1007/s00213-019-05424-8. Epub 2020 Jan 3.
Standard deviation of lateral position (SDLP) has been accepted as a reliable parameter for measuring driving impairment due to lowered vigilance caused by sleepiness or the use of sedating drugs. Recently, lane drifts were proposed as an additional outcome measure quantifying momentary lapses of attention. The purpose of this study was to validate lane drifts as outcome measure of driver impairment in a large data pool from two independent research centers.
Data from 11 placebo-controlled studies that assessed the impact of alcohol, hypnotics, and sleep deprivation on actual driving performance were pooled. In total, 717 on-the-road tests performed by 315 drivers were subjected to an automated algorithm to detect occurrences of lane drifts. Lane drifts were defined as deviations > 100 cm from the mean (LD) and from the absolute lateral position (LD) for 8 s.
The number of LD was low and did not differ between treatments and baseline, i.e., 14 vs. 3 events, respectively. LD were frequent and significantly higher during treatment relative to baseline, i.e., 1646 vs. 470 events. The correlation between LD and SDLP in the treatment conditions was very high (r = 0.77). The frequency of the occurrence of treatment-induced lane drifts however depended on baseline SDLP of drivers, whereas treatment-induced changes in SDLP occurred independent of baseline SDLP.
LD is not useful as an outcome measure of driver impairment due to its rare occurrence, even when treatment-induced increments in SDLP are evident. Treatment effects on LD and SDLP are closely related.
由于困倦或使用镇静药物导致警觉性降低，侧向位置标准差（SDLP）已被接受为衡量驾驶障碍的可靠参数。最近，车道漂移被提议作为一种额外的结果测量方法，用于量化注意力瞬间的失误。本研究的目的是在两个独立研究中心的大量数据中验证车道漂移作为驾驶员损伤的结果测量指标。
汇总了评估酒精、催眠药和睡眠剥夺对实际驾驶表现影响的 11 项安慰剂对照研究的数据。共有 315 名驾驶员进行了 717 次道路测试，这些测试采用自动化算法来检测车道漂移的发生。车道漂移被定义为偏离平均（LD）和绝对侧向位置（LD）超过 100cm 持续 8s 的情况。
LD 的数量很少，且在治疗和基线之间没有差异，即分别为 14 次和 3 次事件。LD 频繁发生，且在治疗期间明显高于基线，即分别为 1646 次和 470 次事件。治疗条件下 LD 与 SDLP 之间的相关性非常高（r=0.77）。然而，治疗诱导的车道漂移的发生频率取决于驾驶员的基线 SDLP，而 SDLP 的治疗诱导变化独立于基线 SDLP。
LD 作为驾驶员损伤的结果测量指标并不有用，因为即使在 SDLP 治疗诱导增加的情况下，其发生频率也很少。LD 和 SDLP 的治疗效果密切相关。
