The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Optimizing sleep to maximize performance: implications and recommendations for elite athletes
Abstract
Despite a growing body of literature demonstrating a positive relationship between sleep and optimal performance, athletes often have low sleep quality and quantity. Insufficient sleep among athletes may be due to scheduling constraints and the low priority of sleep relative to other training demands, as well as a lack of awareness of the role of sleep in optimizing athletic performance. Domains of athletic performance (e.g., speed and endurance), neurocognitive function (e.g., attention and memory), and physical health (e.g., illness and injury risk, and weight maintenance) have all been shown to be negatively affected by insufficient sleep or experimentally modeled sleep restriction. However, healthy adults are notoriously poor at self‐assessing the magnitude of the impact of sleep loss, underscoring the need for increased awareness of the importance of sleep among both elite athletes and practitioners managing their care. Strategies to optimize sleep quality and quantity in athletes include approaches for expanding total sleep duration, improving sleep environment, and identifying potential sleep disorders.
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“sleep extension and sleep hygiene are recommended for improved sleep among athletes [41–43]”
From Frequency and perceived influence of menopausal symptoms on training and performance in female endurance athletes (2025) · cites this paper as [42]
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Cites
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“Improving total sleep duration The amount of sleep needed varies based on age, physical activity, and a range of other individual factors; however, most adults need between 7 and 9 h of sleep per night (Hirshkowitz et al., 2015).”
BackgroundFredholm, B. B., Bättig, K., Holmén, J., Nehlig, A., & Zvartau, E. E. (1999) · Pharmacological Reviews · doi:10.1016/s0031-6997(24)01396-6 · Cited by 2,624
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“These associations have been observed in epidemiological studies both cross-sectionally (Taheri et al., 2004) and prospectively (Chaput et al., 2008).”
BackgroundInfluentialSpiegel, K., Tasali, E., Penev, P., & Cauter, E. V. (2004) · Annals of Internal Medicine · doi:10.7326/0003-4819-141-11-200412070-00008 · Cited by 2,459
Neurocognitive consequences of sleep deprivation
Goel, N., Rao, H., Durmer, J., & Dinges, D. (2009) · Seminars in Neurology · doi:10.1055/s-0029-1237117 · Cited by 2,154
Watson, N. F., Badr, M. S., Belenky, G., Bliwise, D. L., Buxton, O. M., Buysse, D., Dinges, D. F., Gangwisch, J., Grandner, M. A., Kushida, C., et al. (2015) · Journal of Clinical Sleep Medicine · doi:10.5664/jcsm.4758 · Cited by 1,320
Sleep loss, learning capacity and academic performance
CURCIO, G., FERRARA, M., & DEGENNARO, L. (2006) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2005.11.001 · Cited by 1,310
Practice with Sleep Makes Perfect
Walker, M. P., Brakefield, T., Morgan, A., Hobson, J. A., & Stickgold, R. (2002) · Neuron · doi:10.1016/s0896-6273(02)00746-8 · Cited by 1,307
The impact of sleep deprivation on decision making: A review.
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A Prospective Study of Sleep Duration and Coronary Heart Disease in Women
Ayas, N. T., White, D. P., Manson, J. E., Stampfer, M. J., Speizer, F. E., Malhotra, A., & Hu, F. B. (2003) · Archives of Internal Medicine · doi:10.1001/archinte.163.2.205 · Cited by 1,155
Cited by
Mental health in elite athletes: International Olympic Committee consensus statement (2019)
Reardon, C. L., Hainline, B., Aron, C. M., Baron, D., Baum, A. L., Bindra, A., Budgett, R., Campriani, N., Castaldelli-Maia, J. M., Currie, A., et al. (2019) · British Journal of Sports Medicine · doi:10.1136/bjsports-2019-100715 · Cited by 1,277
Sleep Hygiene for Optimizing Recovery in Athletes: Review and Recommendations
Vitale, K. C., Owens, R., Hopkins, S. R., & Malhotra, A. (2019) · International Journal of Sports Medicine · doi:10.1055/a-0905-3103 · Cited by 264
Do Non-Responders to Exercise Exist—and If So, What Should We Do About Them?
Pickering, C., & Kiely, J. (2019) · Sports Medicine · doi:10.1007/s40279-018-01041-1 · Cited by 165
Sleep quality prediction in caregivers using physiological signals
Sadeghi, R., Banerjee, T., Hughes, J. C., & Lawhorne, L. W. (2019) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2019.05.010 · Cited by 50
Silva, H., Del Coso, J., & Pickering, C. (2025) · Sports Medicine · doi:10.1007/s40279-025-02245-y · Cited by 21
Metadata
- Authors
- Simpson, N. S., Gibbs, E. L., & Matheson, G. O.
- Venue
- Scandinavian Journal of Medicine & Science in Sports
- Publisher
- Wiley
- Published
- 2016-07
- Volume
- 27
- Issue
- 3
- Pages
- 266-274
- ISSN
- 0905-7188 (ISSN-L)
- 1600-0838
- OpenAlex
- W2469946267
- Cited by
- 265
- References
- 27
- FWCI
- 25.53
- Type
- journal article
- Language
- en
- Open access
- closed
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- Simpson, N. S., Gibbs, E. L., & Matheson, G. O. (2017). Optimizing sleep to maximize performance: implications and recommendations for elite athletes. Scandinavian Journal of Medicine & Science in Sports. https://doi.org/10.1111/sms.12703
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.