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Ferris MJ, Wolkow AP, Bowles KA, Lalor A. A Guided Comparative Analysis of Fatigue Frameworks in Australasian Ambulance Services. PREHOSP EMERG CARE 2024:1-9. [PMID: 39047175 DOI: 10.1080/10903127.2024.2381055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2024] [Revised: 07/11/2024] [Accepted: 07/12/2024] [Indexed: 07/27/2024]
Abstract
OBJECTIVE Paramedics work in a complex, unpredictable environment, subject to many external stressors including critically unwell patients, dangerous driving conditions, and prolonged shift work. Paramedic fatigue from these and other occupational demands is well documented. Ambulance services attempt to safeguard paramedics from fatigue using internal policies or procedures - a type of Fatigue Risk Management Systems (FRMSs). This study reviews ambulance service fatigue frameworks to understand the current situation in fatigue management in paramedicine, and to identify fatigue monitoring tools, strategies, and other components of these frameworks that are designed to protect personnel. METHODS This study involved a qualitative document thematic content analysis. All eleven statutory ambulance services across Australia, New Zealand, and Papua New Guinea, represented by the Council of Ambulance Authorities, were contacted and invited to participate. Fatigue frameworks were collated and entered into NVivo where data extraction occurred through three a priori areas (fatigue, fatigue mitigation tools & fatigue management). RESULTS Nine of the eleven ambulance services provided fatigue documentation, with one declining to participate, and one did not respond to invitations. Through thematic analysis and abstraction, seven themes were identified: fatigue definition, consequences of fatigue, sources of fatigue, signs and symptoms of fatigue, fatigue-related incidents, fatigue monitoring tools, and fatigue mitigation. There was also poor alignment between provided frameworks and established FRMSs components. CONCLUSION Our findings provide an initial insight into existing ambulance service fatigue frameworks across Australia, New Zealand, and Papua New Guinea. The many inconsistencies in frameworks between ambulance services highlight an opportunity to develop a more consistent, collaborative approach that follows evidence-based FRMSs guidelines.
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Affiliation(s)
- Matthew J Ferris
- Department of Paramedicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Frankston, Victoria
- Queensland Ambulance Service, Kedron, Queensland, Australia
| | - Alexander P Wolkow
- Paramedic Health and Wellbeing Research Unit, School of Medicine, Nursing and Health Sciences, Monash University, Frankston, Victoria
- School of Psychological Sciences, Monash University, Clayton, Victoria
| | - Kelly-Ann Bowles
- Department of Paramedicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Frankston, Victoria
- Paramedic Health and Wellbeing Research Unit, School of Medicine, Nursing and Health Sciences, Monash University, Frankston, Victoria
| | - Aislinn Lalor
- Department of Occupational Therapy, Faculty of Medicine, Nursing and Health Sciences, Monash University, Frankston, Victoria
- Rehabilitation, Ageing, and Independent Living (RAIL) Research Centre, Monash University, Frankston, Victoria
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2
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McCauley ME, McCauley P, Kalachev LV, Riedy SM, Banks S, Ecker AJ, Dinges DF, Van Dongen HPA. Biomathematical modeling of fatigue due to sleep inertia. J Theor Biol 2024; 590:111851. [PMID: 38782198 PMCID: PMC11179995 DOI: 10.1016/j.jtbi.2024.111851] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2023] [Revised: 04/13/2024] [Accepted: 05/12/2024] [Indexed: 05/25/2024]
Abstract
Biomathematical models of fatigue capture the physiology of sleep/wake regulation and circadian rhythmicity to predict changes in neurobehavioral functioning over time. We used a biomathematical model of fatigue linked to the adenosinergic neuromodulator/receptor system in the brain as a framework to predict sleep inertia, that is, the transient neurobehavioral impairment experienced immediately after awakening. Based on evidence of an adenosinergic basis for sleep inertia, we expanded the biomathematical model with novel differential equations to predict the propensity for sleep inertia during sleep and its manifestation after awakening. Using datasets from large laboratory studies of sleep loss and circadian misalignment, we calibrated the model by fitting just two new parameters and then validated the model's predictions against independent data. The expanded model was found to predict the magnitude and time course of sleep inertia with generally high accuracy. Analysis of the model's dynamics revealed a bifurcation in the predicted manifestation of sleep inertia in sustained sleep restriction paradigms, which reflects the observed escalation of the magnitude of sleep inertia in scenarios with sleep restriction to less than ∼ 4 h per day. Another emergent property of the model involves a rapid increase in the predicted propensity for sleep inertia in the early part of sleep followed by a gradual decline in the later part of the sleep period, which matches what would be expected based on the adenosinergic regulation of non-rapid eye movement (NREM) sleep and its known influence on sleep inertia. These dynamic behaviors provide confidence in the validity of our approach and underscore the predictive potential of the model. The expanded model provides a useful tool for predicting sleep inertia and managing impairment in 24/7 settings where people may need to perform critical tasks immediately after awakening, such as on-demand operations in safety and security, emergency response, and health care.
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Affiliation(s)
- Mark E McCauley
- Sleep and Performance Research Center, Washington State University, 412 E. Spokane Falls Blvd., Spokane, WA 99202-2131, USA; Department of Translational Medicine and Physiology, Washington State University Health Sciences Spokane, 412 E. Spokane Falls Blvd., Spokane, WA 99202, USA.
| | - Peter McCauley
- Sleep and Performance Research Center, Washington State University, 412 E. Spokane Falls Blvd., Spokane, WA 99202-2131, USA
| | - Leonid V Kalachev
- Department of Mathematical Sciences, University of Montana, Mathematics Building, Missoula, MT 59812, USA.
| | - Samantha M Riedy
- Sleep and Performance Research Center, Washington State University, 412 E. Spokane Falls Blvd., Spokane, WA 99202-2131, USA
| | - Siobhan Banks
- Behaviour-Brain-Body Research Centre, University of South Australia, Adelaide, SA 5048, Australia.
| | - Adrian J Ecker
- Unit for Experimental Psychiatry, Division of Sleep and Chronobiology, University of Pennsylvania Perelman School of Medicine, 1013 Blockley Hall, 423 Guardian Drive, Philadelphia, PA 19104, USA.
| | - David F Dinges
- Unit for Experimental Psychiatry, Division of Sleep and Chronobiology, University of Pennsylvania Perelman School of Medicine, 1013 Blockley Hall, 423 Guardian Drive, Philadelphia, PA 19104, USA.
| | - Hans P A Van Dongen
- Sleep and Performance Research Center, Washington State University, 412 E. Spokane Falls Blvd., Spokane, WA 99202-2131, USA; Department of Translational Medicine and Physiology, Washington State University Health Sciences Spokane, 412 E. Spokane Falls Blvd., Spokane, WA 99202, USA.
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LaGoy AD, Kubala AG, Seech TR, Jameson JT, Markwald RR, Russell DW. Steps toward developing a comprehensive fatigue monitoring and mitigation solution: perspectives from a cohort of United States Naval Surface Force officers. SLEEP ADVANCES : A JOURNAL OF THE SLEEP RESEARCH SOCIETY 2024; 5:zpae008. [PMID: 38425454 PMCID: PMC10904103 DOI: 10.1093/sleepadvances/zpae008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 01/12/2024] [Indexed: 03/02/2024]
Abstract
Study Objectives This study analyzed fatigue and its management in US Naval Surface Force warships, focusing on understanding current practices and barriers, and examining the influence of organizational and individual factors on managing chronic fatigue. Furthermore, this study explored the impact of organizational and individual factors on fatigue management. Methods As part of a larger study, 154 naval officers (mean ± standard deviation; 31.5 ± 7.0 years; 8.8 ± 6.8 years of service; 125 male, and 29 female) completed a fatigue survey. The survey addressed (1) self-reported fatigue, (2) fatigue observed in others, (3) fatigue monitoring strategies, (4) fatigue mitigation strategies, and (5) barriers to fatigue mitigation. Logistic and ordinal regressions were performed to examine the effect of individual (i.e. sleep quality and years in military service) and organizational (i.e. ship-class) factors on fatigue outcomes. Results Fatigue was frequently experienced and observed by 23% and 54% of officers, respectively. Of note, officers often monitored fatigue reactively (i.e. 65% observed others nodding off and 55% observed behavioral impairments). Still, officers did not frequently implement fatigue mitigation strategies, citing few operationally feasible mitigation strategies (62.3%), being too busy (61.7%), and not having clear thresholds for action (48.7%). Fatigue management varies across organizational factors, which must be considered when further developing fatigue management strategies. Conclusions Fatigue remains a critical concern aboard surface force ships and it may be better addressed through development of objective sleep and fatigue monitoring tools that could inform leadership decision-making.
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Affiliation(s)
- Alice D LaGoy
- Sleep, Tactical Efficiency, and Endurance Laboratory, Warfighter Performance Department, Naval Health Research Center, San Diego, CA, USA
- Military and Veterans Health Solutions, Leidos, Inc., San Diego, CA, USA
| | - Andrew G Kubala
- Sleep, Tactical Efficiency, and Endurance Laboratory, Warfighter Performance Department, Naval Health Research Center, San Diego, CA, USA
- Military and Veterans Health Solutions, Leidos, Inc., San Diego, CA, USA
| | - Todd R Seech
- Commander, Naval Surface Force, U.S. Pacific Fleet, Coronado, CA, USA
| | - Jason T Jameson
- Sleep, Tactical Efficiency, and Endurance Laboratory, Warfighter Performance Department, Naval Health Research Center, San Diego, CA, USA
- Military and Veterans Health Solutions, Leidos, Inc., San Diego, CA, USA
| | - Rachel R Markwald
- Sleep, Tactical Efficiency, and Endurance Laboratory, Warfighter Performance Department, Naval Health Research Center, San Diego, CA, USA
| | - Dale W Russell
- Commander, Naval Surface Force, U.S. Pacific Fleet, Coronado, CA, USA
- Department of Psychiatry, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
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4
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LaGoy AD, Kubala AG, Deering S, Germain A, Markwald RR. Dawn of a New Dawn: Advances in Sleep Health to Optimize Performance. Sleep Med Clin 2023; 18:361-371. [PMID: 37532375 DOI: 10.1016/j.jsmc.2023.05.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/04/2023]
Abstract
Optimal sleep health is a critical component to high-level performance. In populations such as the military, public service (eg, firefighters), and health care, achieving optimal sleep health is difficult and subsequently deficiencies in sleep health may lead to performance decrements. However, advances in sleep monitoring technologies and mitigation strategies for poor sleep health show promise for further ecological scientific investigation within these populations. The current review briefly outlines the relationship between sleep health and performance as well as current advances in behavioral and technological approaches to improving sleep health for performance.
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Affiliation(s)
- Alice D LaGoy
- Sleep, Tactical Efficiency, and Endurance Laboratory, Warfighter Performance Department, Naval Health Research Center, 140 Sylvester Road, San Diego, CA 92106, USA; Leidos, Inc., San Diego, CA, USA
| | - Andrew G Kubala
- Sleep, Tactical Efficiency, and Endurance Laboratory, Warfighter Performance Department, Naval Health Research Center, 140 Sylvester Road, San Diego, CA 92106, USA; Leidos, Inc., San Diego, CA, USA
| | - Sean Deering
- Sleep, Tactical Efficiency, and Endurance Laboratory, Warfighter Performance Department, Naval Health Research Center, 140 Sylvester Road, San Diego, CA 92106, USA; Leidos, Inc., San Diego, CA, USA
| | | | - Rachel R Markwald
- Sleep, Tactical Efficiency, and Endurance Laboratory, Warfighter Performance Department, Naval Health Research Center, 140 Sylvester Road, San Diego, CA 92106, USA.
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Working around the Clock: Is a Person’s Endogenous Circadian Timing for Optimal Neurobehavioral Functioning Inherently Task-Dependent? Clocks Sleep 2022; 4:23-36. [PMID: 35225951 PMCID: PMC8883919 DOI: 10.3390/clockssleep4010005] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Revised: 01/17/2022] [Accepted: 02/03/2022] [Indexed: 11/17/2022] Open
Abstract
Neurobehavioral task performance is modulated by the circadian and homeostatic processes of sleep/wake regulation. Biomathematical modeling of the temporal dynamics of these processes and their interaction allows for prospective prediction of performance impairment in shift-workers and provides a basis for fatigue risk management in 24/7 operations. It has been reported, however, that the impact of the circadian rhythm—and in particular its timing—is inherently task-dependent, which would have profound implications for our understanding of the temporal dynamics of neurobehavioral functioning and the accuracy of biomathematical model predictions. We investigated this issue in a laboratory study designed to unambiguously dissociate the influences of the circadian and homeostatic processes on neurobehavioral performance, as measured during a constant routine protocol preceded by three days on either a simulated night shift or a simulated day shift schedule. Neurobehavioral functions were measured every 3 h using three functionally distinct assays: a digit symbol substitution test, a psychomotor vigilance test, and the Karolinska Sleepiness Scale. After dissociating the circadian and homeostatic influences and accounting for inter-individual variability, peak circadian performance occurred in the late biological afternoon (in the “wake maintenance zone”) for all three neurobehavioral assays. Our results are incongruent with the idea of inherent task-dependent differences in the endogenous circadian impact on performance. Rather, our results suggest that neurobehavioral functions are under top-down circadian control, consistent with the way they are accounted for in extant biomathematical models.
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Gurubhagavatula I, Barger LK, Barnes CM, Basner M, Boivin DB, Dawson D, Drake CL, Flynn-Evans EE, Mysliwiec V, Patterson PD, Reid KJ, Samuels C, Shattuck NL, Kazmi U, Carandang G, Heald JL, Van Dongen HP. Guiding principles for determining work shift duration and addressing the effects of work shift duration on performance, safety, and health: guidance from the American Academy of Sleep Medicine and the Sleep Research Society. J Clin Sleep Med 2021; 17:2283-2306. [PMID: 34666885 PMCID: PMC8636361 DOI: 10.5664/jcsm.9512] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Accepted: 06/24/2021] [Indexed: 11/13/2022]
Abstract
CITATION Risks associated with fatigue that accumulates during work shifts have historically been managed through working time arrangements that specify fixed maximum durations of work shifts and minimum durations of time off. By themselves, such arrangements are not sufficient to curb risks to performance, safety, and health caused by misalignment between work schedules and the biological regulation of waking alertness and sleep. Science-based approaches for determining shift duration and mitigating associated risks, while addressing operational needs, require: (1) a recognition of the factors contributing to fatigue and fatigue-related risks; (2) an understanding of evidence-based countermeasures that may reduce fatigue and/or fatigue-related risks; and (3) an informed approach to selecting workplace-specific strategies for managing work hours. We propose a series of guiding principles to assist stakeholders with designing a shift duration decision-making process that effectively balances the need to meet operational demands with the need to manage fatigue-related risks.
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Affiliation(s)
- Indira Gurubhagavatula
- Division of Sleep Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Corporal Michael Crescenz VA Medical Center, Philadelphia, PA, USA
| | - Laura K. Barger
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Christopher M. Barnes
- Department of Management and Organization, Foster School of Business, University of Washington, Seattle, WA, USA
| | - Mathias Basner
- Unit for Experimental Psychiatry, Division of Sleep and Chronobiology, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Diane B. Boivin
- Centre for Study and Treatment of Circadian Rhythms, Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Drew Dawson
- Appleton Institute, Central Queensland University, Wayville, SA, Australia
| | | | - Erin E. Flynn-Evans
- Fatigue Countermeasures Laboratory, NASA Ames Research Center, Moffett Field, CA, USA
| | - Vincent Mysliwiec
- STRONG STAR ORU, Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center, San Antonio, TX, USA
| | - P. Daniel Patterson
- Department of Emergency Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Kathryn J. Reid
- Center for Circadian and Sleep Medicine, Department of Neurology, Division of Sleep Medicine, Northwestern University, Chicago, IL, USA
| | - Charles Samuels
- Centre for Sleep and Human Performance, Calgary, Alberta, Canada
| | - Nita Lewis Shattuck
- Operations Research Department, Naval Postgraduate School, Monterey, CA, USA
| | - Uzma Kazmi
- American Academy of Sleep Medicine, Darien, IL, USA
| | | | | | - Hans P.A. Van Dongen
- Sleep and Performance Research Center, Washington State University, Spokane, WA, USA
- Elson S. Floyd College of Medicine, Washington State University, Spokane, WA, USA
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7
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Schwartz LP, Devine JK, Hursh SR, Davis JE, Smith M, Boyle L, Fitzgibbons SC. Addressing fatigue in medical residents with biomathematical fatigue modeling. J Occup Health 2021; 63:e12267. [PMID: 34390073 PMCID: PMC8363908 DOI: 10.1002/1348-9585.12267] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Revised: 07/22/2021] [Accepted: 07/26/2021] [Indexed: 01/27/2023] Open
Abstract
Fatigue in resident physicians has been identified as a factor that contributes to burnout and a decline in overall wellbeing. Fatigue risk exists because of poor sleep habits and demanding work schedules that have only increased due to the COVID‐19 pandemic. At this time, it is important not to lose sight of how fatigue can impact residents and how fatigue risk can be mitigated. While fatigue mitigation is currently addressed by duty hour restrictions and education about fatigue, Fatigue Risk Management Systems (FRMSs) offer a more comprehensive strategy for addressing these issues. An important component of FRMS in other shiftwork industries, such as aviation and trucking, is the use of biomathematical models to prospectively identify fatigue risk in work schedules. Such an approach incorporates decades of knowledge of sleep and circadian rhythm research into shift schedules, taking into account not just duty hour restrictions but the temporal placement of work schedules. Recent research has shown that biomathematical models of fatigue can be adapted to a resident physician population and can help address fatigue risk. Such models do not require subject matter experts and can be applied in graduate medical education program shift scheduling. It is important for graduate medical education program providers to consider these alternative methods of fatigue mitigation. These tools can help reduce fatigue risk and may improve wellness as they allow for a more precise fatigue management strategy without reducing overall work hours.
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Affiliation(s)
| | | | - Steven R Hursh
- Institutes for Behavior Resources, Baltimore, MD, USA.,Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jonathan E Davis
- Department of Emergency Medicine, Georgetown University School of Medicine, Washington, DC, USA
| | - Mark Smith
- MedStar Institute for Innovation, Washington, DC, USA
| | - Lisa Boyle
- MedStar Georgetown University Hospital, Washington, DC, USA
| | - Shimae C Fitzgibbons
- Department of Surgery, MedStar Georgetown University Hospital, Washington, DC, USA
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8
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Gurubhagavatula I, Barger LK, Barnes CM, Basner M, Boivin DB, Dawson D, Drake CL, Flynn-Evans EE, Mysliwiec V, Patterson PD, Reid KJ, Samuels C, Shattuck NL, Kazmi U, Carandang G, Heald JL, Van Dongen HPA. Guiding principles for determining work shift duration and addressing the effects of work shift duration on performance, safety, and health: guidance from the American Academy of Sleep Medicine and the Sleep Research Society. Sleep 2021; 44:6312566. [PMID: 34373924 DOI: 10.1093/sleep/zsab161] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 05/17/2021] [Indexed: 11/12/2022] Open
Abstract
Risks associated with fatigue that accumulates during work shifts have historically been managed through working time arrangements that specify fixed maximum durations of work shifts and minimum durations of time off. By themselves, such arrangements are not sufficient to curb risks to performance, safety, and health caused by misalignment between work schedules and the biological regulation of waking alertness and sleep. Science-based approaches for determining shift duration and mitigating associated risks, while addressing operational needs, require: (1) a recognition of the factors contributing to fatigue and fatigue-related risks; (2) an understanding of evidence-based countermeasures that may reduce fatigue and/or fatigue-related risks; and (3) an informed approach to selecting workplace-specific strategies for managing work hours. We propose a series of guiding principles to assist stakeholders with designing a shift duration decision-making process that effectively balances the need to meet operational demands with the need to manage fatigue-related risks.
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Affiliation(s)
- Indira Gurubhagavatula
- Division of Sleep Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.,Corporal Michael Crescenz VA Medical Center, Philadelphia, PA, USA
| | - Laura K Barger
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA, USA.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Christopher M Barnes
- Department of Management and Organization, Foster School of Business, University of Washington, Seattle, WA, USA
| | - Mathias Basner
- Unit for Experimental Psychiatry, Division of Sleep and Chronobiology, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Diane B Boivin
- Centre for Study and Treatment of Circadian Rhythms, Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Drew Dawson
- Appleton Institute, Central Queensland University, Wayville, SA, Australia
| | | | - Erin E Flynn-Evans
- Fatigue Countermeasures Laboratory, NASA Ames Research Center, Moffett Field, CA, USA
| | - Vincent Mysliwiec
- STRONG STAR ORU, Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center, San Antonio, TX, USA
| | - P Daniel Patterson
- Department of Emergency Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Kathryn J Reid
- Center for Circadian and Sleep Medicine, Department of Neurology, Division of Sleep Medicine, Northwestern University, Chicago, IL, USA
| | - Charles Samuels
- Centre for Sleep and Human Performance, Calgary, Alberta, Canada
| | - Nita Lewis Shattuck
- Operations Research Department, Naval Postgraduate School, Monterey, CA, USA
| | - Uzma Kazmi
- American Academy of Sleep Medicine, Darien, IL, USA
| | | | | | - Hans P A Van Dongen
- Sleep and Performance Research Center, Washington State University, Spokane, WA, USA.,Elson S. Floyd College of Medicine, Washington State University, Spokane, WA, USA
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9
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Lundholm KR, Honn KA, Skeiky L, Muck RA, Van Dongen HPA. Trait Interindividual Differences in the Magnitude of Subjective Sleepiness from Sleep Inertia. Clocks Sleep 2021; 3:298-311. [PMID: 34204864 PMCID: PMC8293243 DOI: 10.3390/clockssleep3020019] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Revised: 05/29/2021] [Accepted: 05/31/2021] [Indexed: 01/06/2023] Open
Abstract
In shift work settings and on-call operations, workers may be at risk of sleep inertia when called to action immediately after awakening from sleep. However, individuals may differ substantially in their susceptibility to sleep inertia. We investigated this using data from a laboratory study in which 20 healthy young adults were each exposed to 36 h of total sleep deprivation, preceded by a baseline sleep period and followed by a recovery sleep period, on three separate occasions. In the week prior to each laboratory session and on the corresponding baseline night in the laboratory, participants either extended their sleep period to 12 h/day or restricted it to 6 h/day. During periods of wakefulness in the laboratory, starting right after scheduled awakening, participants completed neurobehavioral tests every 2 h. Testing included the Karolinska Sleepiness Scale to measure subjective sleepiness, for which the data were analyzed with nonlinear mixed-effects regression to quantify sleep inertia. This revealed considerable interindividual differences in the magnitude of sleep inertia, which were highly stable within individuals after both baseline and recovery sleep periods, regardless of study condition. Our results demonstrate that interindividual differences in subjective sleepiness due to sleep inertia are substantial and constitute a trait.
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Affiliation(s)
| | | | | | | | - Hans P. A. Van Dongen
- Sleep and Performance Research Center & Elson S. Floyd College of Medicine, Washington State University, Spokane, WA 99202, USA; (K.R.L.); (K.A.H.); (L.S.); (R.A.M.)
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10
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McCauley ME, McCauley P, Riedy SM, Banks S, Ecker AJ, Kalachev LV, Rangan S, Dinges DF, Van Dongen HPA. Fatigue risk management based on self-reported fatigue: Expanding a biomathematical model of fatigue-related performance deficits to also predict subjective sleepiness. TRANSPORTATION RESEARCH. PART F, TRAFFIC PSYCHOLOGY AND BEHAVIOUR 2021; 79:94-106. [PMID: 33994837 PMCID: PMC8117424 DOI: 10.1016/j.trf.2021.04.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Biomathematical models of fatigue can be used to predict neurobehavioral deficits during sleep/wake or work/rest schedules. Current models make predictions for objective performance deficits and/or subjective sleepiness, but known differences in the temporal dynamics of objective versus subjective outcomes have not been addressed. We expanded a biomathematical model of fatigue previously developed to predict objective performance deficits as measured on the Psychomotor Vigilance Test (PVT) to also predict subjective sleepiness as self-reported on the Karolinska Sleepiness Scale (KSS). Four model parameters were re-estimated to capture the distinct dynamics of the KSS and account for the scale difference between KSS and PVT. Two separate ensembles of datasets - drawn from laboratory studies of sleep deprivation, sleep restriction, simulated night work, napping, and recovery sleep - were used for calibration and subsequent validation of the model for subjective sleepiness. The expanded model was found to exhibit high prediction accuracy for subjective sleepiness, while retaining high prediction accuracy for objective performance deficits. Application of the validated model to an example scenario based on cargo aviation operations revealed divergence between predictions for objective and subjective outcomes, with subjective sleepiness substantially underestimating accumulating objective impairment, which has important real-world implications. In safety-sensitive operations such as commercial aviation, where self-ratings of sleepiness are used as part of fatigue risk management, the systematic differences in the temporal dynamics of objective versus subjective measures of functional impairment point to a potentially significant risk evaluation sensitivity gap. The expanded biomathematical model of fatigue presented here provides a useful quantitative tool to bridge this previously unrecognized gap.
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Affiliation(s)
- Mark E. McCauley
- Sleep and Performance Research Center, Washington State University Health Sciences Spokane
- Elson S. Floyd College of Medicine, Washington State University Health Sciences Spokane
| | - Peter McCauley
- Sleep and Performance Research Center, Washington State University Health Sciences Spokane
| | - Samantha M. Riedy
- Unit for Experimental Psychiatry, Division of Sleep and Chronobiology, University of Pennsylvania Perelman School of Medicine
| | - Siobhan Banks
- Behaviour-Brain-Body Research Centre, University of South Australia
| | - Adrian J. Ecker
- Unit for Experimental Psychiatry, Division of Sleep and Chronobiology, University of Pennsylvania Perelman School of Medicine
| | | | | | - David F. Dinges
- Unit for Experimental Psychiatry, Division of Sleep and Chronobiology, University of Pennsylvania Perelman School of Medicine
| | - Hans P. A. Van Dongen
- Sleep and Performance Research Center, Washington State University Health Sciences Spokane
- Elson S. Floyd College of Medicine, Washington State University Health Sciences Spokane
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