Liu Xiao-Kun, Chen Shan-Lin, Huang Dan-Ling, Jiang Zi-Shang, Jiang Yu-Ting, Liang Li-Juan, Qin Lu-Lu
The First Affiliated Hospital of Hainan Medical University, Haikou, People's Republic of China.
Department of Social Medicine and Health Management, School of Medicine, Hunan Normal University, Changsha, People's Republic of China.
Psychol Res Behav Manag. 2022 Jan 26;15:193-212. doi: 10.2147/PRBM.S323431. eCollection 2022.
Road safety research is important due to the large number of road traffic fatalities globally. This study investigated the influences of age, driving experience and other covariates on aggressive driving behavior.
A cross-sectional survey was conducted in Yixing City, Wuxi City, Jiangsu Province, China. Regression analysis was applied to explore the influences of age and driving experience and their interactions with other covariates on aggressive driving behavior. Two analyses methodologies were used to assess the simple effect of the interactions. Firstly, the Jamovi automatic analysis classification program was used to calculate the simple slope test. Second, the SPSS macro program was also used to calculate the simple slope test also.
A total of 570 drivers (247 males, 282 females) participated in the survey. A negative correlation was found between age and aggressive driving behaviors, and a positive correlation was found between neuroticism and aggressive driving behaviors in the multiple regression analysis. Significant associations were also found between age, driving experience, and depression, as well as age, driving experience, and neuroticism. Simple slope tests showed that depressive symptoms could increase aggressive behaviors in the elderly and experienced drivers. When experiencing neuroticism, individuals with higher driving experience were more aggressive in driving than shorter experienced drivers.
Age and neuroticism influenced aggressive driving behaviors. Veteran drivers could be aggressive drivers when experiencing depressive symptoms or neuroticism. Mobile intervention could be sent to the potentially risky drivers, which would be safe and broadly feasible to prevent aggressive driving behavior in the background of COVID-19.
由于全球道路交通事故死亡人数众多,道路安全研究至关重要。本研究调查了年龄、驾驶经验和其他协变量对攻击性驾驶行为的影响。
在中国江苏省无锡市宜兴市进行了一项横断面调查。应用回归分析来探讨年龄、驾驶经验及其与其他协变量的相互作用对攻击性驾驶行为的影响。使用两种分析方法来评估相互作用的简单效应。首先,使用Jamovi自动分析分类程序计算简单斜率检验。其次,还使用SPSS宏程序计算简单斜率检验。
共有570名驾驶员(247名男性,282名女性)参与了调查。在多元回归分析中,发现年龄与攻击性驾驶行为呈负相关,神经质与攻击性驾驶行为呈正相关。还发现年龄、驾驶经验与抑郁之间以及年龄、驾驶经验与神经质之间存在显著关联。简单斜率检验表明,抑郁症状会增加老年驾驶员和有经验驾驶员的攻击性行为。当出现神经质时,驾驶经验丰富的个体在驾驶中比经验较少的个体更具攻击性。
年龄和神经质会影响攻击性驾驶行为。经验丰富的驾驶员在出现抑郁症状或神经质时可能会成为攻击性驾驶员。可以向潜在风险驾驶员发送移动干预措施,在新冠疫情背景下预防攻击性驾驶行为既安全又具有广泛可行性。