Lucidi Fabio, Russo Paolo Maria, Mallia Luca, Devoto Alessandra, Lauriola Marco, Violani Cristiano
Department of Psychology, University of Rome La Sapienza Via dei Marsi, 78-00185 Rome, Italy.
Accid Anal Prev. 2006 Mar;38(2):302-9. doi: 10.1016/j.aap.2005.09.013. Epub 2005 Nov 10.
The aim of the present study is to analyse factors affecting worries, coping strategies and decisions of young drivers regarding the risk of sleep-related car crashes. Furthermore, the study also analyses whether framing the same information about sleepiness in two different linguistic forms influences: (1) the evaluation of the level of risk associated to a specific level of drowsiness (Attribute Framing problem); (2) the willingness to enact strategies to "prevent" sleepiness before night-time driving (Goal Framing problem); (3) the choice between two different ways, both of equal expected efficacy, of lowering drowsiness (Risky decision-making Framing problem). Six hundred and ninety-five young drivers [(57.6% females, 42.4% males); mean age 20.85 years (S.D.=1.2)] answered questions on drive risk perception and sleepiness, on nocturnal driving experience and on the strategies to deal with driver sleepiness, responding to one of the two different versions of the framed problems. A sub-sample of 130 participants completed the framed problems in both versions. The results show that experiences of sleep attacks and nocturnal driving frequency in the past 6 months affect both risk perception and the preventive strategies adopted. Furthermore, the manipulation on two out of the three problems (attribute and risky decision-making frames) significantly affected the respondents' evaluation.
本研究的目的是分析影响年轻驾驶员对与睡眠相关的车祸风险的担忧、应对策略和决策的因素。此外,该研究还分析了以两种不同语言形式呈现关于嗜睡的相同信息是否会影响:(1)对与特定嗜睡程度相关的风险水平的评估(属性框架问题);(2)在夜间驾驶前采取策略“预防”嗜睡的意愿(目标框架问题);(3)在两种预期效果相同的降低嗜睡的不同方法之间的选择(风险决策框架问题)。695名年轻驾驶员[(57.6%为女性,42.4%为男性);平均年龄20.85岁(标准差=1.2)]回答了关于驾驶风险感知和嗜睡、夜间驾驶经历以及应对驾驶员嗜睡策略的问题,他们对框架问题的两个不同版本之一做出了回应。130名参与者的子样本完成了两个版本的框架问题。结果表明,过去6个月内的睡眠发作经历和夜间驾驶频率会影响风险感知和所采取的预防策略。此外,三个问题中的两个(属性和风险决策框架)的操作显著影响了受访者的评估。