Articles producció científica> Psicologia

Age, gender, personality, burnout, job characteristics and job content as predictors of driver fatigue

  • Dades identificatives

    Identificador: imarina:9232652
    Autors:
    Tapia-Caballero, PatriciaSerrano-Fernandez, Maria-JoseBoada-Cuerva, MariaBoada-Grau, JoanAssens-Serra, JordiRobert-Sentis, Lluis
    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.
  • Altres:

    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: Burnout Fatigue Health Labor risks Occupational health Performance Personality Professional drivers Risk Sleep Stress Taxi drivers Traffic accidents Truck drivers Work
    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: Ciências ambientais Economia Enfermagem Ergonomics General medicine Interdisciplinar Medicina i Psicología Public health, environmental and occupational health Public, environmental & occupational health Safety research Safety, risk, reliability and quality Saúde coletiva Sociologia i política
    Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
    Adreça de correu electrònic de l'autor: maria.boada@urv.cat joan.boada@urv.cat maria.boada@urv.cat mariajose.serrano@urv.cat
    Identificador de l'autor: 0000-0003-1446-4490 0000-0002-1907-6887 0000-0003-1446-4490 0000-0003-0363-5522
    Data d'alta del registre: 2024-09-07
    Versió de l'article dipositat: info:eu-repo/semantics/acceptedVersion
    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
    URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
    Entitat: Universitat Rovira i Virgili
    Any de publicació de la revista: 2021
    Tipus de publicació: Journal Publications
  • Paraules clau:

    Ergonomics,Public Health, Environmental and Occupational Health,Public, Environmental & Occupational Health,Safety Research,Safety, Risk, Reliability and Quality
    Burnout
    Fatigue
    Health
    Labor risks
    Occupational health
    Performance
    Personality
    Professional drivers
    Risk
    Sleep
    Stress
    Taxi drivers
    Traffic accidents
    Truck drivers
    Work
    Ciências ambientais
    Economia
    Enfermagem
    Ergonomics
    General medicine
    Interdisciplinar
    Medicina i
    Psicología
    Public health, environmental and occupational health
    Public, environmental & occupational health
    Safety research
    Safety, risk, reliability and quality
    Saúde coletiva
    Sociologia i política
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