Department of Education Sciences and Psychology, Universitat Rovira i Virgili, Spain.
Department of Strategy, Leadership & People, EADA Business School, Spain.
Int J Occup Saf Ergon. 2021 Jun;27(2):416-424. doi: 10.1080/10803548.2019.1613812. Epub 2019 Jun 26.
Professional drivers are considered prone to health risks. For this reason we have conducted a predictive study to analyze variables that may be predictors of stress in driving. Participating in this study were 372 drivers (93.4% men, 6.6% women) recruited through non-probabilistic sampling. The aim of the study is to develop a prediction model for job stress in professional drivers using the following indicators: personality, impulsiveness, hardy personality, job, age, seat comfort, seat suspension, lumbar support and driving hours. We found that the variables with predictive power over driving stress were: commitment over relaxed driving (Δ = 0.101; = 0.135), danger prevention (Δ = 0.139; = 0.342) and fatigue and anxiety (Δ = 0.063; = -0.227); control over alertness and vigilance (Δ = 0.069; = 0.278); agreeableness over sensation-seeking (Δ = 0.047; = -0.268). In conclusion, driver stress can be predicted by certain variables. This study contributes to better understanding of driver stress and promotes safety at the wheel, thus helping to prevent traffic accidents.
职业驾驶员被认为容易面临健康风险。出于这个原因,我们进行了一项预测性研究,以分析可能导致驾驶压力的变量。共有 372 名驾驶员(93.4%为男性,6.6%为女性)通过非概率抽样参与了这项研究。该研究的目的是使用以下指标为职业驾驶员的工作压力开发一个预测模型:人格、冲动、坚韧人格、工作、年龄、座椅舒适度、座椅悬架、腰部支撑和驾驶时间。我们发现,对驾驶压力具有预测能力的变量是:放松驾驶的承诺(Δ=0.101;=0.135)、危险预防(Δ=0.139;=0.342)和疲劳与焦虑(Δ=0.063;=0.227);警觉性和警惕性的控制(Δ=0.069;=0.278);宜人性对寻求刺激(Δ=0.047;=0.268)。总之,某些变量可以预测驾驶员的压力。这项研究有助于更好地了解驾驶员的压力,促进驾驶安全,从而有助于预防交通事故。