1
|
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.
Collapse
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.
| |
Collapse
|
2
|
Kovac K, Vincent GE, Paterson JL, Hilditch CJ, Ferguson SA. A preliminary framework for managing sleep inertia in occupational settings. SLEEP ADVANCES : A JOURNAL OF THE SLEEP RESEARCH SOCIETY 2023; 4:zpad050. [PMID: 38046222 PMCID: PMC10693319 DOI: 10.1093/sleepadvances/zpad050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Revised: 10/26/2023] [Indexed: 12/05/2023]
Abstract
Sleep inertia, the temporary period of impairment experienced upon waking, is a safety hazard that has been implicated in serious work-related incidents resulting in injuries as well as the loss of life and assets. As such, sleep inertia warrants formal management in industries where personnel are required to undertake their role soon after waking (e.g. emergency services, engineers, and health care). At present, there is a lack of practical, evidence-based guidance on how sleep inertia could be formally managed at an organizational level. We propose a preliminary framework for managing sleep inertia based on the translation of research findings into specific work procedure modifications/control mechanisms. Within the framework, work procedure modifications/control mechanisms to manage sleep inertia are organized into three levels: (1) modifications/controls that eliminate the chance of sleep inertia, (2) modifications/controls that reduce sleep inertia severity, and (3) modifications/controls that manage the risk of errors during sleep inertia. Practical considerations, limitations, and areas of further research are highlighted for each modification/control to help determine how readily each control measure could be implemented by industries at present. A guide for organizations to use this preliminary framework of sleep inertia management is put forward, as well as the next research priorities to strengthen the utility and evidence base of the framework. This paper is part of the Sleep and Circadian Rhythms: Management of Fatigue in Occupational Settings Collection.
Collapse
Affiliation(s)
- Katya Kovac
- School of Health, Medical and Applied Sciences, Appleton Institute, Central Queensland University, Wayville, SA, Australia
| | - Grace E Vincent
- School of Health, Medical and Applied Sciences, Appleton Institute, Central Queensland University, Wayville, SA, Australia
| | - Jessica L Paterson
- Flinders University Institute of Mental Health and Wellbeing, College of Education, Psychology and Social Work, Flinders University, Bedford Park, SA, Australia
| | - Cassie J Hilditch
- Fatigue Countermeasures Laboratory, San José State University, San José, CA, USA
| | - Sally A Ferguson
- School of Health, Medical and Applied Sciences, Appleton Institute, Central Queensland University, Wayville, SA, Australia
| |
Collapse
|
3
|
Gupta CC, Vincent GE, Coates AM, Khalesi S, Irwin C, Dorrian J, Ferguson SA. A Time to Rest, a Time to Dine: Sleep, Time-Restricted Eating, and Cardiometabolic Health. Nutrients 2022; 14:420. [PMID: 35276787 PMCID: PMC8840563 DOI: 10.3390/nu14030420] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 01/14/2022] [Accepted: 01/16/2022] [Indexed: 02/01/2023] Open
Abstract
Cardiovascular disease (CVD) poses a serious health and economic burden worldwide. Modifiable lifestyle factors are a focus of research into reducing the burden of CVD, with diet as one of the most investigated factors. Specifically, the timing and regularity of food intake is an emerging research area, with approaches such as time-restricted eating (TRE) receiving much attention. TRE involves shortening the time available to eat across the day and is associated with improved CVD outcomes compared with longer eating windows. However, studies that have examined TRE have not considered the impact of sleep on CVD outcomes despite recent evidence showing that sleep duration can influence the timing and amount of food eaten. In this article, we argue that as TRE and sleep influence each other, and influence the same cardiometabolic parameters, experiencing inadequate sleep may attenuate any positive impact TRE has on CVD. We examine the relationship between TRE and CVD, with sleep as a potential mediator in this relationship, and propose a research agenda to investigate this relationship. This will provide necessary evidence to inform future interventions aimed at reducing the burden of CVD.
Collapse
Affiliation(s)
- Charlotte C. Gupta
- Appleton Institute, Central Queensland University, Adelaide 5034, Australia; (G.E.V.); (S.A.F.)
| | - Grace E. Vincent
- Appleton Institute, Central Queensland University, Adelaide 5034, Australia; (G.E.V.); (S.A.F.)
| | - Alison M. Coates
- Alliance for Research in Exercise, Nutrition and Activity (ARENA) Research Centre, University of South Australia, Adelaide 5001, Australia;
- Behaviour-Brain-Body Research Centre, UniSA Justice and Society, University of South Australia, Adelaide 5072, Australia;
| | - Saman Khalesi
- Appleton Institute, Central Queensland University, Brisbane 4000, Australia;
| | - Christopher Irwin
- School of Health Sciences and Social Work, Griffith University, Gold Coast 4222, Australia;
| | - Jillian Dorrian
- Behaviour-Brain-Body Research Centre, UniSA Justice and Society, University of South Australia, Adelaide 5072, Australia;
| | - Sally A. Ferguson
- Appleton Institute, Central Queensland University, Adelaide 5034, Australia; (G.E.V.); (S.A.F.)
| |
Collapse
|