Field-based validations of a work-related fatigue model based on hours of work |
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| Institution: | 1. Stockholm School of Economics Institute for Research, Sveavägen 65, Box 6501, SE-113 83 Stockholm, Sweden;2. WSP SwedenAB, Arenavägen 7, 121 88 Stockholm-Globen, Sweden;3. KTH Royal Institute of Technology, Centre for Transport Studies, Teknikringen 10 A, SE-100 44 Stockholm, Sweden;3. National Institute of Immunology, Aruna Asaf Ali Marg, New Delhi 110067, India;4. INSERM U1016, CNRS UMR8104, Cochin Institute, 75014 Paris, France;1. School of Engineering, RMIT University, Melbourne, VIC, Australia;2. Defence Science and Technology Group, 506 Lorimer Street, Fishermans Bend, VIC, Australia;3. School of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney, NSW 2052, Australia;4. School of Engineering, University of Limerick, Limerick, Co. Limerick, Ireland;1. START Clinic for Mood and Anxiety Disorders, Toronto, ON, Canada;2. Northern Ontario School of Medicine, Thunder Bay, ON, Canada;3. Department of Psychology, Lakehead University, Thunder Bay, ON, Canada;4. Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada;5. Adler Graduate Professional School, Toronto, ON, Canada;6. University of Alberta, Edmonton, AB, Canada;7. Chokka Center for Integrative Health, Edmonton, AB, Canada;1. Faculty of Materials and Metallurgical Engineering, Iran University of Science and Technology (IUST), Tehran, Iran;2. Otto Schott Institute of Materials Research, Friedrich Schiller University Jena, 07743 Jena, Germany;3. Department of Materials and Environmental Chemistry, Arrhenius Laboratory, Stockholm University, SE-106 91 Stockholm, Sweden |
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| Abstract: | Shiftwork, and in particular night work, is associated with decreased quantity and quality of sleep. Such changes to sleep manifest themselves in measures such as increased sleepiness, fatigue and accident risk. To manage these risks, particularly in operational environments, a work-related fatigue model has been developed. To date, strong correlations have been observed with a range of measures in empirical and laboratory experiments. This study aimed to determine if these observed relationships between predicted fatigue, alertness and performance also exist in the workplace. Data was analysed from 193 train drivers who filled in sleep and work diaries, wore actigraphs, performed subjective alertness and objective performance tests before and after each shift for a period of two weeks during a normal schedule. Work-related fatigue scores were calculated and compared to alertness and performance measures. The findings of the present study show that there was a stronger relationship between predicted fatigue and self-rated alertness than between predicted fatigue and performance. Furthermore, the fatigue model predicted self-rated alertness better in the afternoon and evening hours, when employees worked up to four consecutive shifts. With further field validation of the current model, there is potential for work-related fatigue to be predicted from actual or potential hours of work. In the future, such models may help to clarify the direct and indirect costs of poor fatigue management on safety, productivity and efficiency. |
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