Cited by 217Sleep and Work-Related FatigueCircadian rhythm and melatoninHuman-Automation Interaction and Safety

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Modelling fatigue and the use of fatigue models in work settings

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Dawson, Drew, Ian Noy, Y., Härmä, Mikko, Åkerstedt, Torbjorn, Belenky, Gregory·2011·Accident Analysis & Prevention

DOI 10.1016/j.aap.2009.12.030

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Abstract

In recent years, theoretical models of the sleep and circadian system developed in laboratory settings have been adapted to predict fatigue and, by inference, performance. This is typically done using the timing of prior sleep and waking or working hours as the primary input and the time course of the predicted variables as the primary output. The aim of these models is to provide employers, unions and regulators with quantitative information on the likely average level of fatigue, or risk, associated with a given pattern of work and sleep with the goal of better managing the risk of fatigue-related errors and accidents/incidents. The first part of this review summarises the variables known to influence workplace fatigue and draws attention to the considerable variability attributable to individual and task variables not included in current models. The second part reviews the current fatigue models described in the scientific and technical literature and classifies them according to whether they predict fatigue directly by using the timing of prior sleep and wake (one-step models) or indirectly by using work schedules to infer an average sleep-wake pattern that is then used to predict fatigue (two-step models). The third part of the review looks at the current use of fatigue models in field settings by organizations and regulators. Given their limitations it is suggested that the current generation of models may be appropriate for use as one element in a fatigue risk management system. The final section of the review looks at the future of these models and recommends a standardised approach for their use as an element of the 'defenses-in-depth' approach to fatigue risk management.

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Managing the Risks of Organizational Accidents
REASON, J. T. (2016) · Routledge eBooks · doi:10.4324/9781315543543 · Cited by 4,523
Two-Process Model of Sleep Regulation
Binder, M. D., Hirokawa, N., & Windhorst, U. (2008) · Springer eBooks · doi:10.1007/978-3-540-29678-2_6166 · Cited by 3,900
Spinal and Supraspinal Factors in Human Muscle Fatigue
Gandevia, S. C. (2001) · Physiological Reviews · doi:10.1152/physrev.2001.81.4.1725 · Cited by 3,855
The cumulative cost of additional wakefulness: dose-response effects on neurobehavioral functions and sleep physiology from chronic sleep restriction and total sleep deprivation
Van Dongen, H. P. A., Maislin, G., Mullington, J. M., & Dinges, D. F. (2003) · Sleep · doi:10.1093/sleep/26.2.117 · Cited by 3,173
Cumulative Sleepiness, Mood Disturbance, and Psychomotor Vigilance Performance Decrements During a Week of Sleep Restricted to 4–5 Hours per Night
Dinges, D. F., Pack, F. M., Williams, K., Gillen, K. A., Powell, J. W., Ott, G. E., Trasande, C. A., & Pack, A. I. (1997) · SLEEP · doi:10.1093/sleep/20.4.267 · Cited by 2,018
Microcomputer analyses of performance on a portable, simple visual RT task during sustained operations
Dinges, D. F., & Powell, J. W. (1985) · Behavior Research Methods, Instruments, & Computers · doi:10.3758/bf03200977 · Cited by 1,812
Patterns of performance degradation and restoration during sleep restriction and subsequent recovery: a sleep dose-response study
Belenky, G., Wesensten, N. J., Thorne, D. R., Thomas, M. L., Sing, H. C., Redmond, D. P., Russo, M. B., & Balkin, T. J. (2003) · Journal of Sleep Research · doi:10.1046/j.1365-2869.2003.00337.x · Cited by 1,436
Circadian Rhythms and the Circadian Organization of Living SystemsPreprint
Pittendrigh, C. S. (1960) · Cold Spring Harbor Symposia on Quantitative Biology · doi:10.1101/sqb.1960.025.01.015 · Cited by 1,397
On error management: lessons from aviation
Helmreich, R. L. (2000) · BMJ · doi:10.1136/bmj.320.7237.781 · Cited by 1,354
Mental fatigue: Costs and benefits
Boksem, M. A. S., & Tops, M. (2008) · Brain Research Reviews · doi:10.1016/j.brainresrev.2008.07.001 · Cited by 1,247

Show all 103 references

Research works printed but not linked: 2

Kandelaars, K.J., 2006. Predicting the timing and duration of sleep in an operational setting using social factors. Ph.D. Thesis. University of South Australia. · DOI
Thomas, 1998, PET imaging studies of sleep deprivation and sleep: implications for behavior and sleep function, J. Sleep Res., 7

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Authors: Dawson, D., Ian Noy, Y., Härmä, M., Åkerstedt, T., & Belenky, G.
Affiliations: University of South Australia (AU)
Finnish Institute of Occupational Health (FI)
Washington State University (US)
ORCID: Dawson, Drew
Härmä, Mikko
Belenky, Gregory
Venue: Accident Analysis & Prevention
Publisher: Elsevier BV
Published: 2011-03
Volume: 43
Issue: 2
Pages: 549-564
ISSN: 0001-4575 (ISSN-L)
DOI: 10.1016/j.aap.2009.12.030
OpenAlex: W2035641776
Cited by: 217
References: 103
Citations by year: 2026: 10 · 2025: 9 · 2024: 16 · 2023: 11 · 2022: 14 · 2021: 25 · 2020: 21 · 2019: 16 · 2018: 15 · 2017: 14 · 2016: 9 · 2015: 11 · 2014: 10 · 2013: 11 · 2012: 5
FWCI: 1.44
Type: journal article
Language: en
Open access: green
figshare.com
Licence: cc-by
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Accident Analysis & Prevention (publishedVersion)
PubMed (publishedVersion)
Acquire (CQUniversity) (submittedVersion)
Figshare (submittedVersion, cc-by)
Topics: Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and Work-Related Fatigue
Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Circadian rhythm and melatonin
Social Sciences › Human Factors and Ergonomics › Human-Automation Interaction and Safety
Keywords: occupational fatigue, fatigue models, circadian rhythm, sleep timing, work schedules, fatigue risk management, fatigue-related accidents
MeSH terms: Accidents, Occupational, Fatigue, Humans, Models, Biological, Work Schedule Tolerance

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Modelling fatigue and the use of fatigue models in work settings

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