Autor segons l'article: Tapia-Caballero, Patricia; Serrano-Fernandez, Maria-Jose; Boada-Cuerva, Maria; Boada-Grau, Joan; Assens-Serra, Jordi; Robert-Sentis, Lluis;
Departament: Psicologia
Autor/s de la URV: Boada Cuerva, Maria / Boada Grau, Joan / Serrano Fernandez, Maria Jose
Paraules clau: Work Truck drivers Traffic accidents Taxi drivers Stress Sleep Risk Professional drivers Personality Performance Occupational health Labor risks Health Fatigue Burnout
Resum: Objectives. Several studies have shown that one of the most common causes of collision is driver fatigue since fatigue causes drowsiness while driving and this decreases the driver's ability to maneuver the vehicle and increases the probability of their nodding off and falling asleep at the wheel. This may be due to a variety of personal reasons and specific factors connected to working conditions. In the present work we therefore intend to develop a predictive model for fatigue in professional drivers using the following indicators: age, gender, personality, burnout, characteristics and job content. Method. The participants were 516 professional drivers from different transport sectors, obtained through non-probabilistic sampling. SPSS version 25.0 was used for data analysis. Results. The predictive capacity of a number of variables that affect drivers by causing fatigue is determined. Fatigue can be predicted through certain variables, with the best predictor being exhaustion (48.8%). Conclusions. This research contributes to a greater knowledge of the factors that produce fatigue in professional drivers. It highlights the importance of designing interventions to reduce the incidence of fatigue, resulting in greater well-being for the driver and a lower incidence of collisions.
Àrees temàtiques: Sociologia i política Saúde coletiva Safety, risk, reliability and quality Safety research Public, environmental & occupational health Public health, environmental and occupational health Psicología Medicina i Interdisciplinar General medicine Ergonomics Enfermagem Economia Ciências ambientais
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
Adreça de correu electrònic de l'autor: mariajose.serrano@urv.cat maria.boada@urv.cat joan.boada@urv.cat maria.boada@urv.cat
Identificador de l'autor: 0000-0003-0363-5522 0000-0003-1446-4490 0000-0002-1907-6887 0000-0003-1446-4490
Data d'alta del registre: 2024-09-07
Versió de l'article dipositat: info:eu-repo/semantics/acceptedVersion
Enllaç font original: https://www.tandfonline.com/doi/abs/10.1080/10803548.2021.1991672?journalCode=tose20
URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
Referència a l'article segons font original: International Journal Of Occupational Safety And Ergonomics. 28 (4): 2396-2402
Referència de l'ítem segons les normes APA: Tapia-Caballero, Patricia; Serrano-Fernandez, Maria-Jose; Boada-Cuerva, Maria; Boada-Grau, Joan; Assens-Serra, Jordi; Robert-Sentis, Lluis; (2022). Age, gender, personality, burnout, job characteristics and job content as predictors of driver fatigue. International Journal Of Occupational Safety And Ergonomics, 28(4), 2396-2402. DOI: 10.1080/10803548.2021.1991672
DOI de l'article: 10.1080/10803548.2021.1991672
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2022
Tipus de publicació: Journal Publications
Repositori URV