Bon de Sousa Teresa, Santos Carolina, Mateus Ceu, Areal Alain, Trigoso Jose, Nunes Carla
a Escola Nacional de Saúde Pública, Universidade Nova de Lisboa , Lisbon , Portugal.
b Division of Health Research, Lancaster University , Lancaster , UK.
Traffic Inj Prev. 2016 Oct 2;17(7):705-11. doi: 10.1080/15389588.2016.1150591. Epub 2016 Feb 18.
This study aims to characterize Portuguese car drivers in terms of demographic characteristics, driving experience, and attitudes, opinions, and behaviors concerning road traffic safety. Furthermore, associations between these characteristics and self-reported involvement in a road traffic accident as a driver in the last 3 years were analyzed. A final goal was to develop a final predictive model of the risk of suffering a road traffic accident.
A cross-sectional analytic study was developed, based on a convenience sample of 612 car drivers. A questionnaire was applied by trained interviewers, embracing various topics related to road safety such as driving under the influence of alcohol or drugs, phone use while driving, speeding, use of advanced driver assistance systems, and the transport infrastructure and environment (European Project SARTRE 4, Portuguese version). From the 52 initial questions, 19 variables were selected through principal component analysis. Then, and in addition to the usual descriptive measures, logistic binary regression models were used in order to describe associations and to develop a predictive model of being involved in a road traffic accident.
Of the 612 car drivers, 37.3% (228) reported being involved in a road traffic accident with damage or injury in the past 3 years. In this group, the majority were male, older than 65, with no children, not employed, and living in an urban area. In the multivariate model, several factors were identified: being widowed (vs. single; odds ratio [OR] = 3.478, 95% confidence interval [95% CI], 1.159-10.434); living in a suburban area (vs. a rural area; OR = 5.023, 95% CI, 2.260-11.166); having been checked for alcohol once in the last 3 years (vs. not checked; OR = 3.124, 95% CI, 2.040-4,783); and seldom drinking an energetic beverage such as coffee when tired (vs. always do; OR = 6.822, 95% CI, 2.619-17.769) all suffered a higher risk of being involved in a car accident.
The results obtained with regard to behavioral factors meet the majority of the risk factors associated with car accidents referred to in the literature. This study highlights the relation of relatively minor accidents (the majority with no injuries) with an urban (or semi-urban) context and involving older drivers. These accidents are not usually the focus of road safety literature (mainly death and serious health loss) but, in addition to the economic costs involved, they can have a huge impact on road safety (e.g., pedestrian). Specifically, the following interventions can be proposed: more detailed clinical examinations to identify real competencies to drive especially in older drivers (active aging can constitute a new challenge in road safety and new paradigms can arise) and education campaigns on how to cope with fatigue. Future studies in large samples and not based on self-reported behaviors should be developed.
本研究旨在从人口统计学特征、驾驶经验以及对道路交通安全的态度、观点和行为等方面对葡萄牙汽车驾驶员进行特征描述。此外,还分析了这些特征与过去3年中自我报告的驾驶员道路交通事故参与情况之间的关联。最终目标是建立一个道路交通事故风险的最终预测模型。
开展了一项横断面分析研究,基于612名汽车驾驶员的便利样本。由经过培训的访谈者发放问卷,问卷涵盖与道路安全相关的各种主题,如酒后或吸毒后驾驶、开车时使用手机、超速、使用先进驾驶辅助系统以及交通基础设施和环境(欧洲项目SARTRE 4,葡萄牙语版本)。从最初的52个问题中,通过主成分分析选择了19个变量。然后,除了常用的描述性指标外,还使用逻辑二元回归模型来描述关联并建立道路交通事故参与情况的预测模型。
在612名汽车驾驶员中,37.3%(228名)报告在过去3年中发生过造成损害或人员受伤的道路交通事故。在这一组中,大多数是男性,年龄超过65岁,没有子女,未就业,居住在城市地区。在多变量模型中,确定了几个因素:丧偶(与单身相比;优势比[OR]=3.478,95%置信区间[95%CI],1.159 - 10.434);居住在郊区(与农村地区相比;OR = 5.023,95%CI,2.260 - 11.166);在过去3年中接受过一次酒精检查(与未检查相比;OR = 3.124,95%CI,2.040 - 4.783);以及疲劳时很少饮用咖啡等提神饮料(与总是饮用相比;OR = 6.822,95%CI,2.619 - 17.769),所有这些情况都使发生汽车事故的风险更高。
关于行为因素获得的结果符合文献中提到的与汽车事故相关的大多数风险因素。本研究强调了相对轻微事故(大多数无人员伤亡)与城市(或半城市)环境以及老年驾驶员之间的关系。这些事故通常不是道路安全文献的重点(主要是死亡和严重健康损失),但除了涉及的经济成本外,它们可能对道路安全产生巨大影响(例如对行人)。具体而言,可以提出以下干预措施:进行更详细的临床检查以确定特别是老年驾驶员的实际驾驶能力(积极老龄化可能在道路安全方面构成新挑战并可能产生新范式)以及开展关于如何应对疲劳的教育活动。应开展基于大样本且不基于自我报告行为的未来研究。