Abdoli Nasrin, Sadeghi Bahmani Dena, Farnia Vahid, Alikhani Mostafa, Golshani Sanobar, Holsboer-Trachsler Edith, Brand Serge
Substance Abuse Prevention Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran,
Center for Affective, Stress and Sleep Disorders, Psychiatric Clinics, University of Basel, Basel, Switzerland.
Psychol Res Behav Manag. 2018 Nov 9;11:557-566. doi: 10.2147/PRBM.S173946. eCollection 2018.
Traffic accidents are a significant health issue in Iran. Explanations for such accidents have included single consideration of the role of poor sleep and negative psychological trait and state variables. In this study, we examined whether and to what extent sleep, general health, and aggression can concomitantly predict driving behavior.
A total of 360 male traffic offenders (driving under substance use; mean age: 31 years) participated in this study. They completed the questionnaires covering sociodemographic, sleep-related, and behavior-related variables. In addition, their visual and acoustic reaction times were objectively tested.
Poor sleep, poor general health, and higher aggression scores were associated with self-rated poor driving behavior. Poor sleep was directly associated with poor driving behavior and indirectly via poor general health and aggression. In contrast, visual and acoustic reaction times were unrelated to sleep, general health, aggression, or self-rated driving behavior.
To our knowledge, this is the first study in Iran to assess concomitantly poor sleep, poor general health, and higher aggression scores as independent predictors of poor driving behavior among a larger sample of substance-abusing traffic offenders. Furthermore, visual and acoustic reaction times were unrelated to sleep, general health, aggression, and driving behavior. Finally, importantly, poor sleep predicted both directly and indirectly poor driving behavior.
交通事故在伊朗是一个重大的健康问题。对这类事故的解释包括单纯考虑睡眠不足以及负面心理特质和状态变量的作用。在本研究中,我们考察了睡眠、总体健康状况和攻击性是否以及在多大程度上能够共同预测驾驶行为。
共有360名男性交通违法者(在使用毒品的情况下驾驶;平均年龄:31岁)参与了本研究。他们完成了涵盖社会人口统计学、睡眠相关和行为相关变量的问卷。此外,还对他们的视觉和听觉反应时间进行了客观测试。
睡眠不足、总体健康状况不佳以及较高的攻击性得分与自我评定的不良驾驶行为相关。睡眠不足与不良驾驶行为直接相关,并且通过总体健康状况不佳和攻击性间接相关。相比之下,视觉和听觉反应时间与睡眠、总体健康状况、攻击性或自我评定的驾驶行为无关。
据我们所知,这是伊朗第一项同时评估睡眠不足、总体健康状况不佳和较高攻击性得分作为大量滥用药物的交通违法者样本中不良驾驶行为的独立预测因素的研究。此外,视觉和听觉反应时间与睡眠、总体健康状况、攻击性和驾驶行为无关。最后,重要的是,睡眠不足直接和间接都能预测不良驾驶行为。