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The Sleep and Recovery Practices of Athletes
Abstract
Background: Athletes maintain a balance between stress and recovery and adopt recovery modalities that manage fatigue and enhance recovery and performance. Optimal TST is subject to individual variance. However, 7–9 h sleep is recommended for adults, while elite athletes may require more quality sleep than non-athletes. Methods: A total of 338 (elite n = 115, 74 males and 41 females, aged 23.44 ± 4.91 years; and sub-elite n = 223, 129 males and 94 females aged 25.71 ± 6.27) athletes were recruited from a variety of team and individual sports to complete a battery of previously validated and reliable widely used questionnaires assessing sleep, recovery and nutritional practices. Results: Poor sleep was reported by both the elite and sub-elite athlete groups (i.e., global PSQI score ≥5—elite 64% [n = 74]; sub-elite 65% [n = 146]) and there was a significant difference in sport-specific recovery practices (3.22 ± 0.90 vs. 2.91 ± 0.90; p < 0.001). Relatively high levels of fatigue (2.52 ± 1.32), stress (1.7 ± 1.31) and pain (50%, n = 169) were reported in both groups. A range of supplements were used regularly by athletes in both groups; indeed, whey (elite n = 22 and sub-elite n = 48) was the most commonly used recovery supplement in both groups. Higher alcohol consumption was observed in the sub-elite athletes (12%, n = 26) and they tended to consume more units of alcohol per drinking bout. Conclusion: There is a need for athletes to receive individualised support and education regarding their sleep and recovery practices.
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“Furthermore, the literature has shown that the sleep of athletes impacts elements of athletic performance including both physical and cognitive performance, recovery, injury risk, and mental well-being.”
From Sleep, Nutrition, and Injury Risk in Adolescent Athletes: A Narrative Review (2023) · cites this paper as [22]
In the citing paper
“Both sleep and nutrition are viewed as modifiable facilitators for recovery in athletes [22,38,45,65,162,163,164,168,183], thus emphasising their relevance to injury mitigation interventions.”
From Sleep, Nutrition, and Injury Risk in Adolescent Athletes: A Narrative Review (2023) · cites this paper as [22]
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Cited by
Sleep, Nutrition, and Injury Risk in Adolescent Athletes: A Narrative Review
Mason, L., Connolly, J., Devenney, L. E., Lacey, K., O’Donovan, J., & Doherty, R. (2023) · Nutrients · doi:10.3390/nu15245101 · Cited by 50
Self-citation
Metadata
- Authors
- Doherty, R., Madigan, S. M., Nevill, A., Warrington, G., & Ellis, J. G.
- Venue
- Nutrients
- Publisher
- MDPI AG
- Published
- 2021-04-17
- Volume
- 13
- Issue
- 4
- Pages
- 1330
- ISSN
- 2072-6643
- Cited by
- 78
- References
- 31
- Language
- en
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
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.