Zhai Chenzhao, Öztürk İbrahim
Institute for Transport Studies, University of Leeds, Leeds, UK.
Aggress Behav. 2025 Jul;51(4):e70041. doi: 10.1002/ab.70041.
Driving anger and aggressive anger expression are prevalent in China, leading to road crashes. While potential associations between metacognitive beliefs about worry and control, anger rumination, and anger expression have been reported, limited research focuses on these relationships within the context of driving anger. This study aims to examine the associations between metacognition, anger rumination, driving-related anger (trait driving anger and aggressive anger expression) and crash risk (traffic penalty points and crash involvement), along with testing the psychometric properties of the Measure for Angry Drivers (MAD) among Chinese drivers. Participants ( ) completed the MAD, the short form of the Metacognition Questionnaire (MCQ-30), the Anger Rumination Scale (ARS), the short version of the Driving Anger Expression Inventory (DAX), and several questions related to their demographic background, traffic violations and crash involvements. A three-factor structure comprising 23 items of MAD was confirmed (Danger posed by others, Travel delays and Aggression from others), demonstrating good reliability, convergent validity, and criterion validity. Additionally, drivers who were involved in crashes in the past 3 years reported higher total MAD scores. The structural model revealed that trait driving anger influenced anger rumination both directly and indirectly through increased maladaptive metacognitive beliefs. Also, trait driving anger and anger rumination jointly contributed to aggressive anger expression, which in turn significantly predicted crash risk. The current findings demonstrate that the Chinese version of MAD is appropriate for assessing trait driving anger and the necessity of regulating anger rumination and aggressive expressions by modifying maladaptive metacognitive beliefs.
在中国，驾驶愤怒和攻击性愤怒表达很普遍，会导致道路交通事故。虽然已有报道称，对担忧和控制的元认知信念、愤怒反刍和愤怒表达之间存在潜在关联，但在驾驶愤怒背景下针对这些关系的研究有限。本研究旨在探讨元认知、愤怒反刍、与驾驶相关的愤怒（特质驾驶愤怒和攻击性愤怒表达）与碰撞风险（交通罚分和事故卷入情况）之间的关联，并检验中国驾驶员愤怒驾驶员量表（MAD）的心理测量特性。参与者（ ）完成了MAD、元认知问卷简版（MCQ - 30）、愤怒反刍量表（ARS）、驾驶愤怒表达量表简版（DAX），以及几个与他们的人口统计学背景、交通违规和事故卷入情况相关的问题。一个由MAD的23个项目组成的三因素结构得到确认（他人造成的危险、行程延误和他人的攻击性），显示出良好的信度、收敛效度和效标效度。此外，过去3年发生过事故的驾驶员报告的MAD总分更高。结构模型显示，特质驾驶愤怒通过增加适应不良的元认知信念直接和间接地影响愤怒反刍。此外，特质驾驶愤怒和愤怒反刍共同导致攻击性愤怒表达，而攻击性愤怒表达反过来又显著预测碰撞风险。当前研究结果表明，中文版MAD适用于评估特质驾驶愤怒，以及通过修正适应不良的元认知信念来调节愤怒反刍和攻击性表达的必要性。
