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Predictive variables for sleep quality in professional drivers

  • Dades identificatives

    Identificador: imarina:9216722
    Autors:
    Serrano-Fernandez, Maria JoseBoada-Grau, JoanRobert-Sentis, LluisVigil-Colet, Andreu
    Resum:
    Professional drivers often have problems sleeping or resting properly. This may be due to various factors, both personal and specific to their working conditions. In this study, we set out to develop a predictive model for the quality of sleep in professional drivers using the following indicators: Age, Gender, Seat Comfort, Seat Suspension, Adjustable Lumbar Support of the Driver's Seat, Driving Hours, Musculoskeletal Problems, Driver Stress, Irritation, Resistant Personality, Burnout, Safety Behaviors and Impulsivity. Method: The participants were 369 professional drivers from different transport sectors, obtained through non-probabilistic sampling. The SPSS 25.0 program was used for statistical analysis. Results: The predictive capacity of certain variables that affect drivers' sleep quality is determined. Conclusions: Sleep quality can be predicted by means of certain variables, the best predictor of which is Exhaustion (Burnout). This research contributes to the body of knowledge on sleep quality and on improving the health of professional drivers.
  • Altres:

    Autor segons l'article: Serrano-Fernandez, Maria Jose; Boada-Grau, Joan; Robert-Sentis, Lluis; Vigil-Colet, Andreu;
    Departament: Psicologia
    Autor/s de la URV: Boada Grau, Joan / Robert Sentís, Lluís / Serrano Fernandez, Maria Jose / Vigil Colet, Andrés
    Paraules clau: Working-conditions Truck drivers Stress Sleep quality Risk Resources Psychophysiological disorders Professional drivers Occupational risks Occupational health Job demands Health Fatigue Ergonomics Bus drivers Accidents
    Resum: Professional drivers often have problems sleeping or resting properly. This may be due to various factors, both personal and specific to their working conditions. In this study, we set out to develop a predictive model for the quality of sleep in professional drivers using the following indicators: Age, Gender, Seat Comfort, Seat Suspension, Adjustable Lumbar Support of the Driver's Seat, Driving Hours, Musculoskeletal Problems, Driver Stress, Irritation, Resistant Personality, Burnout, Safety Behaviors and Impulsivity. Method: The participants were 369 professional drivers from different transport sectors, obtained through non-probabilistic sampling. The SPSS 25.0 program was used for statistical analysis. Results: The predictive capacity of certain variables that affect drivers' sleep quality is determined. Conclusions: Sleep quality can be predicted by means of certain variables, the best predictor of which is Exhaustion (Burnout). This research contributes to the body of knowledge on sleep quality and on improving the health of professional drivers.
    Àrees temàtiques: Saúde coletiva Revistas ciencias del comportamiento Psychology, multidisciplinary Psychology (miscellaneous) Psychology (all) Psychology Psicología Medicina i General psychology Educação Ciencias sociales
    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 joan.boada@urv.cat andreu.vigil@urv.cat
    Identificador de l'autor: 0000-0003-0363-5522 0000-0002-1907-6887 0000-0003-3818-4514
    Data d'alta del registre: 2024-07-27
    Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
    Enllaç font original: https://scielo.isciii.es/scielo.php?script=sci_abstract&pid=S0212-97282021000200020&lng=es&nrm=iso&tlng=en
    Referència a l'article segons font original: Anales De Psicologia. 37 (2): 393-401
    Referència de l'ítem segons les normes APA: Serrano-Fernandez, Maria Jose; Boada-Grau, Joan; Robert-Sentis, Lluis; Vigil-Colet, Andreu; (2021). Predictive variables for sleep quality in professional drivers. Anales De Psicologia, 37(2), 393-401. DOI: 10.6018/analesps.419911
    URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
    DOI de l'article: 10.6018/analesps.419911
    Entitat: Universitat Rovira i Virgili
    Any de publicació de la revista: 2021
    Tipus de publicació: Journal Publications
  • Paraules clau:

    Psychology,Psychology (Miscellaneous),Psychology, Multidisciplinary
    Working-conditions
    Truck drivers
    Stress
    Sleep quality
    Risk
    Resources
    Psychophysiological disorders
    Professional drivers
    Occupational risks
    Occupational health
    Job demands
    Health
    Fatigue
    Ergonomics
    Bus drivers
    Accidents
    Saúde coletiva
    Revistas ciencias del comportamiento
    Psychology, multidisciplinary
    Psychology (miscellaneous)
    Psychology (all)
    Psychology
    Psicología
    Medicina i
    General psychology
    Educação
    Ciencias sociales
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