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Predictive variables for sleep quality in professional drivers

  • Identification data

    Identifier: imarina:9216722
    Authors:
    Serrano-Fernandez, Maria JoseBoada-Grau, JoanRobert-Sentis, LluisVigil-Colet, Andreu
    Abstract:
    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.
  • Others:

    Author, as appears in the article.: Serrano-Fernandez, Maria Jose; Boada-Grau, Joan; Robert-Sentis, Lluis; Vigil-Colet, Andreu;
    Department: Psicologia
    URV's Author/s: Boada Grau, Joan / Robert Sentís, Lluís / Serrano Fernandez, Maria Jose / Vigil Colet, Andrés
    Keywords: 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
    Abstract: 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.
    Thematic Areas: Saúde coletiva Revistas ciencias del comportamiento Psychology, multidisciplinary Psychology (miscellaneous) Psychology (all) Psychology Psicología Medicina i General psychology Educação Ciencias sociales
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: mariajose.serrano@urv.cat joan.boada@urv.cat andreu.vigil@urv.cat
    Author identifier: 0000-0003-0363-5522 0000-0002-1907-6887 0000-0003-3818-4514
    Record's date: 2024-07-27
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://scielo.isciii.es/scielo.php?script=sci_abstract&pid=S0212-97282021000200020&lng=es&nrm=iso&tlng=en
    Papper original source: Anales De Psicologia. 37 (2): 393-401
    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
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Article's DOI: 10.6018/analesps.419911
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2021
    Publication Type: Journal Publications
  • Keywords:

    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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