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Citation |
Serrano-Fernández MJ, Boada-Grau J, Robert-Sentís L, Vigil-Colet A, Assens-Serra J. Int. J. Occup. Safety Ergonomics 2019; ePub(ePub): 1-9. |
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Affiliation |
Department of Education Sciences and Psychology, Universitat Rovira i Virgili (URV, Tarragona, Spain), Campus Sescelades, Ctra Valls, s/n, Tarragona 43007, Spain. Email: mariajose.serrano@urv.cat Tel. 0034 977558161. |
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Copyright |
(Copyright © 2019, Centralny Instytut Ochrony Pracy - Państwowy Instytut Badawczy, Publisher Informa - Taylor and Francis Group) |
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DOI |
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PMID |
31043142 |
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Abstract |
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 (ΔR2 = .101; β=.135), Danger prevention (ΔR2 = .139; β=.342) and Fatigue & anxiety (ΔR2 = .063; β= -.227); Control over Alertness & Vigilance (ΔR2 = .069; β=.278); and Agreeableness over Sensation-seeking (ΔR2 = .047; β= -.268). In conclusion, driver stress can be predicted by certain variables. This study contributes to a better understanding of driver stress and promotes safety at the wheel, thus helping to prevent traffic accidents. Language: en |
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Keywords |
Stress in driving; driver stress; predictive factors; prevent traffic accidents; vehicle characteristics |