Keywords
insomnia
subjective quality of sleep
drivers
fatigue
How to Cite
Abstract
Professional drivers are a group susceptible to sleep problems or incorrect rest patterns resulting from work stress that causes alterations in biological stress markers, such as cortisol, or in cardiovascular parameters that show a state of physiological hyper-activation. The current research objective was to adapt and validate the Groningen Sleep Scale (Meijman et al., 1990) in a Spanish population. We analysed its internal structure, reliability and evidence of validity. The participants in this study were 372 drivers (93.4% men, 6.6% women), with a mean age of 40.9 (SD = 10.54), obtained through non-probabilistic sampling. The SPSS 23.0 and AMOS (5.0) programs were used. With the confirmatory factor analysis (CFA) of the AMOS program (5.0), the indicators NFI = 0.902; TLI = 0.844; CFI = 0.913; RMSEA = 0.129 were obtained and showed an acceptable adjustment of the unifactorial model with 8 items. Adequate reliability (0.90) and appropriate evidence of validity with TDS-38, MBI-GS, Irritation, MP-9, DII, and Trans-18. We can conclude that the Groningen Sleep Scale (GSQS-8) is a reliable and valid instrument, suitable in the Spanish language for evaluating the sleep quality of professional drivers.
Åkerstedt, T., Knutsson, A., Westerholm, P., Theorell, T., Alfredsson, L., & Kecklund, G. (2002). Sleep disturbances, work stress and work hours. Journal of Psychosomatic Research, 53(3), 741-748. https://doi.org/10.1016/S0022-3999(02)00333-1
Åkerstedt, T., Knutsson, A., Westerholm, P., Theorell, T., Alfredsson, L., & Kecklund, G. (2004). Mental fatigue, work and sleep. Journal of Psychosomatic Research, 57(5), 427-433. https://doi.org/10.1016/j.jpsychores.2003.12.001
Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107, 238-246. https://doi.org/10.1037/0033-2909.107.2.238
Berrones, L., & González, E. (2018). State of the art of the work and health conditions of the professional drivers. Revista Red de Investigación en Salud en el Trabajo, 1(2), 21-29. https://rist.zaragoza.unam.mx/index.php/rist/article/view/26
Boada-Grau, J., Sánchez-García, J. C., Prizmic-Kuzmica, A. J., & Vigil-Colet, A. (2012). Health and Safety at Work in the Transport Industry (TRANS-18): Factorial Structure, Reliability and Validity. The Spanish Journal of Psychology, 15(1), 357-366. https://doi.org/10.5209/rev_SJOP.2012.v15.n1.37342
Bonnet, M. H. (1985). Effect of sleep disruption on sleep, performance, and mood. Sleep, 8(1), 11-19. https://doi.org/10.1093/sleep/8.1.11
Chaiard, J., Deeluea, J., Suksatit, B., & Songkham, W. (2019). Factors Associated with Sleep Quality of Thai Intercity Bus Drivers. Industrial Health, 2018-0168. https://doi.org/10.2486/indhealth.2018-0168
Chico, E., Tous, J. M., Lorenzo-Seva, U., & Vigil-Colet, A. (2003). Spanish adaptation of Dickman’s impulsivity inventory: Its relationship to Eysenck’s personality questionnaire. Personality and Individual Differences, 35, 1883-1892. https://doi.org/10.1016/S0191-8869(03)00037-0
Connor, J., Norton, R., Ameratunga, S., Robinson, E., Civil, I., Dunn, R., Baley, J., & Jackson, R. (2002). Driver sleepiness and risk of serious injury to car occupants: population based case control study. British Medical Journal, 324, 1125-1125. https://doi.org/10.1136/bmj.324.7346.1125
Davidović, J., Pešić, D., & Antić, B. (2018). Professional drivers’ fatigue as a problem of the modern era. Transportation Research Part F: Traffic Psychology and Behaviour, 55, 199-209. https://doi.org/10.1016/j.trf.2018.03.010
Dickman, S. J. (1990). Functional and dysfunctional impulsivity: Personality and cognitive correlates. Journal of Personality and Social Psychology, 58(1), 95-102. https://doi.org/10.1037/0022-3514.58.1.95
Dirección General de Tráfico (DGT). (2006). El sueño es una de las principales causas de accidente en carretera. Ministerio del Interior. http://www.dgt.es/es/la-dgt/campanas/2006/El-suenio-es-una-de-las-principales-causas-de-accidente-en-carretera.shtml
Dirección General de Tráfico (DGT). (2018). Las salidas de vía y colisiones frontales causan 652 muertes en carreteras convencionales. Ministerio del Interior. http://www.dgt.es/es/prensa/notas-de-prensa/2018/20180816_NP-Siniestralidad-convencionales.shtml
Dorn, L., Stephen, L., af Wåhlberg, A., & Gandolfi, J. (2010). Development and Validation of a Self Reported Measure of Bus Driver Behavior. Ergomics, 53(12), 1420-1433. https://doi.org/10.1080/00140139.2010.532882
Fan, X., & Sivo, S. A. (2007). Sensitivity of fit indices to model misspecification and model types. Multivariate Behavioral Research, 42, 509-529. https://doi.org/10.1080/00273170701382864
Filtness, A. J., Anund, A., Fors, C., Ahlström, C., Åkerstedt, T., & Kecklund, G. (2014). Sleep-related eye symptoms and their potential for identifying driver sleepiness. Journal of Sleep Research, 23(5), 568-575. https://doi.org/10.1111/jsr.12163
Gosselin, A., De Koninck, J., & Campbell, K. B. (2005). Total sleep deprivation and novelty processing: Implications for frontal lobe functioning. Clinical Neurophysiology, 116(1), 211-222. https://doi.org/10.1016/j.clinph.2004.07.033
Hambleton, R. K., Merenda, P. F., & Spielberger, C. D. (2005). Adapting educational and psychological tests for cross-cultural assessment. Lawrence Erlbaum Associates.
Hernández, R., Fernández, C., & Baptista, P. (2004). Metodología de la Investigación. McGraw-Hill Interamericana.
Hillman, D., Mitchell, S., Streatfeild, J., Burns, C., Bruck, D., & Pezzullo, L. (2018). The economic cost of inadequate sleep. Sleep, 41(8), 1-13. https://doi.org/10.1093/sleep/zsy083
Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1-55. https://doi.org/10.1080/10705519909540118
Jafarian, S., Gorouhi, F., Taghva, A., & Lotfi, J. (2008). High-altitude sleep disturbance: Results of the Groningen Sleep Quality Questionnaire survey. Sleep Medicine, 9(4), 446-449. https://doi.org/10.1016/j.sleep.2007.06.017
Kaiser, H. F. (1974). An index of factorial simplicity. Psychometrika, 39, 31-36. https://doi.org/10.1007/BF02291575
Kecklund, G., & Åkerstedt, T. (2004). Apprehension of the subsequent working day is associated with a low amount of slow wave sleep. Biological Psychology, 66(2), 169-176. https://doi.org/10.1016/j.biopsycho.2003.10.004
Kerlinger, F. N., & Lee, H. B. (2004). Behavior Research. Research methods in social sciences. McGraw-Hill.
Lattin, J., Carroll, J., & Green, P. (2003). Analyzing multivariate data. Duxbury Press.
Lévy-Mangin, J.-P., & Varela-Mallou, J. (2006). Modelización con estructuras de covarianzas en ciencias sociales : temas esenciales, avanzados y aportaciones especiales. In Modelización con estructuras de covarianzas en ciencias sociales : temas esenciales, avanzados y aportaciones especiales. Gesbiblo, S.L.
Li, M. K., Yu, J. J., Ma, L., & Zhang, W. (2019). Modeling and mitigating fatigue-related accident risk of taxi drivers. Accident Analysis and Prevention, 123, 79-87. https://doi.org/10.1016/j.aap.2018.11.001
Li, Y., Yamamoto, T., & Zhang, G. (2018). Understanding factors associated with misclassification of fatigue-related accidents in police record. Journal of Safety Research, 64, 155-162. https://doi.org/10.1016/j.jsr.2017.12.002
Lorenzo-Seva, U. (1999). Promin: A method for oblique factor rotation. Multivariate Behavioral Research, 34, 347-365. https://doi.org/10.1207/S15327906MBR3403_3
McVicar, A. (2003). Workplace stress in nursing: A literature review. Journal of Advanced Nursing, 44(6), 633-642. https://doi.org/10.1046/j.0309-2402.2003.02853.x
Meijman, T., de Vries-Griever, A., De Vries, G., & Kampman, R. (1988). The evaluation of the Groningen Sleep Quality Scale. Groningen: Heymans Bulletin, HB 88-13-EX.
Meijman, T. F., Thunnissen, M. J., & De Vries-Griever, A. G. H. (1990). The after-effects of a prolonged period of day-sleep on subjective sleep quality. Work and Stress, 4(1), 65-70. https://doi.org/10.1080/02678379008256965
Merino, E., Carbonero, M. Á., Moreno-Jiménez, B., & Morante, M. E. (2006). La Escala de Irritación como instrumento de evaluación del estrés laboral. [Irritation: Analysis of an instrument to assess stress at work]. Psicothema, 18, 419–424. http://www.ncbi.nlm.nih.gov/pubmed/17296066
Michael, J. T. (2017). Classification of sleep disorders. In Sleep ans Psychosomatic Medicine (pp. 1-11). SRS Press.
Miró, E., & Buela-Casal, G. (2005). Sueño, estrés y trabajo. In J. L. Arco (Ed.), Estrés y trabajo: cómo hacerlos compatibles (pp. 87-115). Junta de Andalucía, Consejería de Justicia y Administración Pública.
Mohr, A. (1986). Die Durchsetzung der Politikwissenschaft an deutschen Hochschulen und die Entwicklung der Deutschen Vereinigung für Politische Wissenschaft. In Politikwissenschaft in der Bundesrepublik Deutschland (pp. 62-77). VS Verlag für Sozialwissenschaften. https://doi.org/10.1007/978-3-663-11075-0_4
Mohr, G., Rigotti, T., Müller, A., Tschan, F., & Aycan, Z. (2006). The Assessment of Psychological Strain in Work Contexts. European Journal of Psychological Assessment, 22(3), 198-206. https://doi.org/10.1027/1015-5759.22.3.198
Moya-Albiol, L., Serrano, M. A., González-Bono, E., Rodríguez-Alarcón, G., & Salvador, A. (2005). Respuesta psicofisiológica del stress en una jornada laboral. Psycothema, 17(2), 205-211. https://dialnet.unirioja.es/servlet/articulo?codigo=1128134
Mulder-Hajonides van der Meulen, R. E. (1990). The Groningen sleep quality scale. Scandinovian Journal of Psychiatry, (Submited).
Muñiz, J., & Bartram, D. (2007). Improving international tests and testing. European Psychologist, 12, 206-219. https://doi.org/10.1027/1016-9040.12.3.206
Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric Theory (McGraw-Hill Series in Psychology). McGraw-Hill. https://doi.org/10.1037/018882
Robb, M. J. M., & Mansfield, N. J. (2007). Self-reported musculoskeletal problems amongst professional truck drivers. Ergonomics, 50(6), 814-827. https://doi.org/10.1080/00140130701220341
Robert-Sentís, L. (2016). Salud laboral en conductores profesionales del transporte por carretera [Occupational health of professional road transport drivers]. (Doctoral thesis not published). Universitat Rovira i Virgili, Tarragona (Spain).
Salanova, M., Schaufeli, W. B., Llorens, S., Peiró, J. M., & Grau, R. (2000). Desde el ”burnout” al ”Engagement” ¿una nueva perspectiva?. Journal of Work and Organizational Psychology, 16(2), 117-134.
Simor, P., Köteles, F., Bódizs, R., & Bárdos, G. (2009). A questionnaire based study of subjective sleep quality: The psychometric evaluation of the Hungarian version of the Groningen Sleep Quality Scale. Mentalhigiene Es Pszichoszomatika, 10(3), 249-261. https://doi.org/10.1556/Mental.10.2009.3.5
Sluiter, J. K., Van Der Beek, A. J., & Frings-Dresen, M. H. W. (1999). The influence of work characteristics on the need for recovery and experienced health: A study on coach drivers. Ergonomics, 42, 573-583. https://doi.org/10.1080/001401399185487
Sunwoo, J. S., Hwangbo, Y., Kim, W. J., Chu, M. K., Yun, C. H., & Yang, K. I. (2017). Sleep characteristics associated with drowsy driving. Sleep Medicine, 40, 4-10. https://doi.org/10.1016/j.sleep.2017.08.020
Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics, 5th ed. In Using multivariate statistics, 5th ed. Allyn & Bacon/Pearson Education. http://psycnet.apa.org/record/2006-03883-000
Taylor, A. H., & Dorn, L. (2006). Stress, fatigue, health, and risk of road traffic accidents among professional drivers: The Contribution of Physical Inactivity. Annual Review of Public Health, 27(1), 371-391. https://doi.org/10.1146/annurev.publhealth.27.021405.102117
Timmerman, M. E., & Lorenzo-Seva, U. (2011). Dimensionality assessment of ordered polytomous items with parallel analysis. Psychological Methods, 16, 209-220. https://doi.org/10.1037/a0023353
Useche, S. A., Cendales, B. E., & Gómez, V. (2017). Measuring Fatigue and its Associations with Job Stress, Health and Traffic Accidents in Professional Drivers: The Case of BRT Operators. EC Neurology, 4(4), 103-118.
Velicer, W. F. (1976). Determining the number of components from the matrix of partial correlations. Psychometrika, 41, 321-327. https://doi.org/10.1007/BF02293557
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Copyright (c) 2021 María-José Serrano-Fernández, Joan Boada-Grau, Lluís Robert-Sentís, Maria Boada-Cuerva, Andreu Vigil-Colet, Jordi Assens-Serra