The effect of sleep on sports performance of Formula 1 drivers

Document Type : Original Article

Authors

1 Ph.D. Student of Sport Management, University of Mohaghegh Ardabili, Ardabil, Iran

2 Professor of Sport Management, University of Mohaghegh Ardabili. Ardabil, Iran.

3 tabriz university

Abstract

Objectives: Sufficient and quality sleep is associated with better performance in many sports; However, this relationship has not been investigated among F1 racing athletes. The purpose of this research is to investigate the relationship between sleep quality, sleep duration and performance measures among professional racing drivers.

Materials and methods: During the 2023 season, five Formula 1 drivers reported the SQ, SD, and clock time of the host countries for each race. Performance data (final position and points earned) obtained through communication with Formula One teams at the Azerbaijan Grand Prix.

Findings: The relationships between sleep variables and driving performance were investigated using correlations. The correlation between SQ and driving performance was not significant. Sd and performance were positively correlated for one driver and negatively correlated for the other driver (p < .05).

Conclusion: The change of time was associated with the duration of sleep for a driver (p < .05). Individual differences in sleep schedules and requirements may mean that sleep is more strongly related to the performance of some drivers than others.

Keywords

Alhadad, S. (2019). Study on sports sponsorship sffectiveness. 3, 46-52.
Alvaro, P. K., Burnett, N. M., Kennedy, G. A., Min, W. Y. X., McMahon, M., Barnes, M., Jackson,
M., & Howard, M. E. (2018). Driver education: enhancing knowledge of sleep, fatigue, and
risky behavior to improve decision making in young drivers. Accident Analysis & Prevention,
112, 77-83. https://doi.org/10.1016/j.aap.2017.12.017
Arendt, J., & Marks, V. (1982). Physiological changes underlying jet lag. British Medical Journal
(Clinical Research Ed.), 284(6310), 144-146.
Ashton, J. E., Harrington, M. O., Langthorne, D., Ngo, H.-V. V., & Cairney, S. A. (2020). Sleep
deprivation induces fragmented memory loss. Learning & Memory, 27(4), 130-135.
https://doi.org/10.1101/lm.050757.119
Backman, J., Häkkinen, K., Ylinen, J., Häkkinen, A., & Kyröläinen, H. (2005). Neuromuscular
performance characteristics of open-wheel and rally drivers. Journal of Strength and
Conditioning Research; Champaign, 19(4), 777-784. http://dx.doi.org/10.1519/00124278-
200511000-00009
Barthel, S. C., & Ferguson, D. P. (2020). Cockpit temperature as an indicator of thermal strain in
sports car competition. Medicine & Science in Sports & Exercise, 53(2), 360-366.
doi:10.1249/mss.0000000000002483
Bellesi, M., & de Vivo, L. (2020). Structural synaptic plasticity across sleep and wake. Current
opinion in Physiology, 15, 74-81. https://doi.org/10.1016/j.cophys.2019.12.007
Birrer, D., & Morgan, G. (2010). Psychological skills training as a way to enhance an athlete’s
performance in high-intensity sports. Scandinavian Journal of Medicine & Science in Sports,
20(s2), 78-87. https://doi.org/10.1111/j.1600-0838.2010.01188.x
Bothe, K., Hirschauer, F., Wiesinger, H.-P., Edfelder, J. M., Gruber, G., Hoedlmoser, K., &
Birklbauer, J. (2020). Gross motor adaptation benefits from sleep after training. Journal of Sleep
Research, 29(5), e12961. https://doi.org/10.1111/jsr.12961
Braley, T. J., Kratz, A. L., Kaplish, N., & Chervin, R. D. (2016). Sleep and Cognitive Function in
Multiple Sclerosis. Sleep, 39(8), 1525-1533. https://doi.org/10.5665/sleep.6012
Burke, L. M. (n.d.). Ketogenic low-CHO, high-fat diet: The future of elite endurance sport? The
Journal of Physiology, 599.3(2021), 819-843. https://doi.org/10.1113/JP278928
Carlson, L. A., Ferguson, D. P., & Kenefick, R. W. (2014). Physiological strain of stock car drivers
during competitive racing. Journal of Thermal Biology, 44, 20-26. https://doi.org/10.1016/j.jtherbio.2014.06.001
Cece, V. (2020). Mental training program in racket sports: A systematic review. International
Journal of Racket Sports Science, 17. https://doi.org/10.30827/digibug.63721
Chang, M. O., Peralta, A. O., & Corcho, O. J. P. de. (2020). Training with cognitive behavioral
techniques for the control of precompetitive anxiety. International Journal of Health & Medical
Sciences, 3(1), 29-34. https://doi.org/10.31295/ijhms.v3n1.121
Chaput, J.-P., Dutil, C., & Sampasa-Kanyinga, H. (2018). Sleeping hours: What is the ideal number
and how does age impact this? Nature and Science of Sleep, 10, 421-430.
https://doi.org/10.2147/NSS.S163071
Cho, K., Ennaceur, A., Cole, J. C., & Suh, C. K. (2000). Chronic jet lag produces cognitive deficits. 
The Journal of Neuroscience, 20(6), RC66-RC66. https://doi.org/10.1523/JNEUROSCI.20-06-
j0005.2000
Choy, M., & Salbu, R. L. (2011). Jet lag. Pharmacy and Therapeutics, 36(4), 221-231.
de Alba González, L., & Hernández-Uribe, Ó . (2020). An approach for development and testing a
reliable speedometer software for speed competitions on motorsport. In M. F. Mata-Rivera, R.
Zagal-Flores, & C. Barria-Huidobro (Eds.), Telematics and computing (pp. 155-168). Springer
International Publishing. https://doi.org/10.1007/978-3-030-62554-2_12
Dewald, J. F., Meijer, A. M., Oort, F. J., Kerkhof, G. A., & Bögels, S. M. (2014). Adolescents’ sleep
in low-stress and high-stress (exam) times: A Prospective Quasi-Experiment.
Behavioral Sleep Medicine, 12(6), 493-506. https://doi.org/10.1080/15402002.2012.670675.
Division of Sleep Medicine at Harvard Medical School. (2007, December 18). The characteristics
of sleep. Healthy Sleep. http:/healthysleep.med.harvard.edu/healthy/science/what/characteristics.
Duxbury, A. (n.d.). How fast is an F1 car? Top speeds of F1, IndyCar, MotoGP and more.
Autosport.Com. Retrieved November 21, 2020, from https://www.autosport.com/f1/news/150934/howfast-is-an-f1-car-top-speeds-of-f1-and-more