Dose-dependent model of caffeine effects on human vigilance during total sleep deprivation
Abstract
Caffeine is the most widely consumed stimulant to counter sleep-loss effects. While the pharmacokinetics of caffeine in the body is well-understood, its alertness-restoring effects are still not well characterized. In fact, mathematical models capable of predicting the effects of varying doses of caffeine on objective measures of vigilance are not available. In this paper, we describe a phenomenological model of the dose-dependent effects of caffeine on psychomotor vigilance task (PVT) performance of sleep-deprived subjects. We used the two-process model of sleep regulation to quantify performance during sleep loss in the absence of caffeine and a dose-dependent multiplier factor derived from the Hill equation to model the effects of single and repeated caffeine doses. We developed and validated the model fits and predictions on PVT lapse (number of reaction times exceeding 500 ms) data from two separate laboratory studies. At the population-average level, the model captured the effects of a range of caffeine doses (50-300 mg), yielding up to a 90% improvement over the two-process model. Individual-specific caffeine models, on average, predicted the effects up to 23% better than population-average caffeine models. The proposed model serves as a useful tool for predicting the dose-dependent effects of caffeine on the PVT performance of sleep-deprived subjects and, therefore, can be used for determining caffeine doses that optimize the timing and duration of peak performance.
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The impact of caffeine on performance appears to be greater under conditions that would negatively impact performance, such as acute caffeine withdrawal or sleep deprivation.
“The impact of caffeine appears to be greater under conditions that would negatively impact performance, such as acute caffeine withdrawal (74–76) or sleep deprivation (71, 77).”
From The Safety of Ingested Caffeine: A Comprehensive Review (2017) · cites this paper as [77]
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The Safety of Ingested Caffeine: A Comprehensive Review
Temple, J. L., Bernard, C., Lipshultz, S. E., Czachor, J. D., Westphal, J. A., & Mestre, M. A. (2017) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2017.00080 · Cited by 557 · see citing works
- Authors
- Ramakrishnan, S., Laxminarayan, S., Wesensten, N. J., Kamimori, G. H., Balkin, T. J., & Reifman, J.
- Affiliations
- Telemedicine & Advanced Technology Research Center (US)
- Walter Reed Army Institute of Research (US)
- Venue
- Journal of Theoretical Biology
- Publisher
- Elsevier BV
- Published
- 2014-10
- Volume
- 358
- Pages
- 11-24
- ISSN
- 0022-5193 (ISSN-L)
- OpenAlex
- W2171058933
- Cited by
- 33
- References
- 46
- Citations by year
- 2025: 2 · 2024: 3 · 2023: 1 · 2022: 1 · 2021: 1 · 2020: 3 · 2019: 4 · 2018: 6 · 2017: 4 · 2016: 3 · 2015: 5
- FWCI
- 5.55
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Theoretical Biology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and Work-Related Fatigue
- Health Sciences › Medicine › Pharmacology › Coffee research and impacts
- Life Sciences › Neuroscience › Cognitive Neuroscience › Sleep and Wakefulness Research
- Keywords
- caffeine, total sleep deprivation, psychomotor vigilance task, sustained attention, dose-dependent effects, Hill equation, alertness, individual differences, mathematical modeling
- MeSH terms
- Attention, Caffeine, Dose-Response Relationship, Drug, Humans, Sleep Deprivation
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