| Literature DB >> 34068512 |
Madeleine Gratwicke1,2, Kathleen H Miles1, David B Pyne1, Kate L Pumpa1,2, Brad Clark1.
Abstract
Athletes often experience sleep disturbances and poor sleep as a consequence of extended travel, the timing of training and competition (i.e., early morning or evening), and muscle soreness. Nutrition plays a vital role in sports performance and recovery, and a variety of foods, beverages, and supplements purportedly have the capacity to improve sleep quality and quantity. Here, we review and discuss relevant studies regarding nutrition, foods, supplements, and beverages that may improve sleep quality and quantity. Our narrative review was supported by a semi-systematic approach to article searching, and specific inclusion and exclusion criteria, such that articles reviewed were relevant to athletes and sporting environments. Six databases-PubMed, Scopus, CINAHL, EMBASE, SPORTDiscus, and Google Scholar-were searched for initial studies of interest from inception to November 2020. Given the paucity of sleep nutrition research in the athlete population, we expanded our inclusion criteria to include studies that reported the outcomes of nutritional interventions to improve sleep in otherwise healthy adults. Carbohydrate ingestion to improve sleep parameters is inconclusive, although high glycemic index foods appear to have small benefits. Tart cherry juice can promote sleep quantity, herbal supplements can enhance sleep quality, while kiwifruit and protein interventions have been shown to improve both sleep quality and quantity. Nutritional interventions are an effective way to improve sleep quality and quantity, although further research is needed to determine the appropriate dose, source, and timing in relation to training, travel, and competition requirements.Entities:
Keywords: athletes; macronutrients; recovery; sleep; supplements; team-sport
Year: 2021 PMID: 34068512 PMCID: PMC8150598 DOI: 10.3390/nu13051586
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 5.717
Characteristics of studies in athlete, and healthy and poor sleeping general population groups.
| Study | Subjects | Method of Sleep Assessment | ||
|---|---|---|---|---|
| Description |
| Age, y | ||
|
| ||||
| Killer, 2017 [ | Trained male cyclists | 10 | 25.0 ± 5.8 | Wrist actigraphy |
| Daniel, 2019 [ | State-level male basketball players | 8 | 18.0 ± 0.7 | Wrist actigraphy |
| Shamloo, 2019 [ | Male athletes | 30 | 20.7 ± 3.7 | PSQI |
| MacInnis, 2020 [ | Elite male and female track cyclists | 6 | 23 ± 6 | Wrist actigraphy |
|
| ||||
| Afaghi, 2007 [ | Healthy males | 12 | 18–35 | PSG |
| Afaghi, 2008 [ | Health, non-obese males | 14 | 18–35 | PSG |
| Howatson, 2012 [ | Healthy and physically active males and females | 20 | 26.6 ± 4.6 | Wrist actigraphy |
| Ong, 2017 [ | Healthy males | 10 | 26.9 ± 5.3 | Wrist actigraphy |
| Bannai, 2012 [ | Healthy males | 7 | 40.6 (30–61) | Subjective sleep questionnaires |
| Vlahoyiannis, 2018 [ | Healthy males | 10 | 23.2 ± 1.8 | PSG |
|
| ||||
| Pigeon, 2010 [ | Chronic insomnia, otherwise healthy | 15 | 71.6 ± 5.4 | Subjective sleep questionnaires |
| Lin, 2011 [ | Poor sleepers, males and females | 24 | 20–55 | Wrist actigraphy and PSQI |
| Yamatsu, 2015 [ | Poor sleepers, males and females | 16 | 36.8 ± 8.9 | One channel EEG |
| Byun, 2018 [ | Poor sleepers, males and females | 30 | 49 ± 14 | PSG and PSQI |
| Simper, 2019 [ | Poor sleepers, young male and female adults | 19 | 21.0 ± 1.0 | Wrist actigraphy |
| Ingawa, 2006 [ | Poor sleepers, females | 15 | 31.1 (24–53) | Subjective sleep questionnaires |
| Yamadera, 2007 [ | Poor sleepers, males and females | 11 | 40.5 ± 10.1 | PSG and subjective sleep questionnaires |
| Ito, 2014 [ | Poor sleepers, males and females | 45 | 35 ± 8 | Subjective sleep questionnaires |
| Ito, 2014 [ | Poor sleepers, males and females | 6 | 35 ± 8 | Wrist actigraphy |
| Yamatsu, 2016 [ | Poor sleepers, males and females | 10 | 37.7 ± 11.5 | One channel EEG |
EEG: electroencephalogram, PSG: polysomnography, PSQI: Pittsburgh Sleep Quality Index, data presented as mean ± SD unless otherwise noted.
Changes to sleep following carbohydrate, protein, tart cherry juice, and other nutritional interventions.
| Study | Intervention | TST (min) | SE (%) | SOL (min) | WASO (min) | ||
|---|---|---|---|---|---|---|---|
| Type | Timing | Days | |||||
|
| |||||||
| Afaghi, 2007 [ | High GI dinner | 4 h pre-bed | 3 | ↑ 7.9 | ↑ 1.7 | ↓ 8.5* | ↑ 1.7 |
| Daniel, 2019 [ | High GI dinner and evening snack | 4 h pre-bed | 1 | ↑ 26.5 | ↓ 1.2 | ↓ 12.5 | ↑ 9.0 |
| Afaghi, 2008 [ | Very low carbohydrate diet (<1% total energy intake) | Over day | 4 | ↑ 22.7 | ↑ 3.3 | ↓ 5.4 * | ↓ 8.6 |
| Killer, 2017 [ | High carbohydrate drinks | Pre-, during, and post-exercise | 9 | ↓ 19.0* | ↓ NR | ⟷ NR | NR |
| Vlahoyiannis, 2018 [ | High GI dinner | Post-exercise (~2 h pre-bed) | 1 | ↑ 62.4 * | ↑ 8.1 * | ↓ 18.9 * | ↓ 32.9 * |
|
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| Ong, 2017 [ | Serving (20 g) of α-lactalbumin | 1 h pre-bed | 2 | ↑ 54.7 * | ↑ 7.0 * | ↓ 10.1 | ↓ 20.8 |
| MacInnis, 2020 [ | Serving (40 g) of α-lactalbumin | 2 h pre-bed | 3 | ⟷ NR | ⟷ NR | ⟷ NR | ⟷ NR |
|
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| Pigeon, 2010 [ | Serving (240 mL) of tart Montmorency cherry juice | 8:00–10:00 and 1–2 h pre-bed | 14 | ↑ 29.3 ** | ↑ 3.7 * | ↓ 3.6 ** | ↓ 16.8 ** |
| Howatson, 2012 [ | Serving (30 mL) of tart Montmorency cherry juice (with 200 mL water) | 30 min post-wake and 30 min pre-bed | 7 | ↑ 39.0 * | ↑ 2.7 | ↓ 9.1 | NR |
|
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| Lin, 2011 [ | Two green kiwifruits | 1 h pre-bed | 28 | ↑ 54.8 ** | ↑ 2.0 ** | ↓ 13.9 ** | ↓ 6.1 ** |
| Yamatsu, 2015 [ | GABA (100 mg) with AVLE (50 mg) | 30 min pre-bed | 14 | NR | NR | ↓ 4.3 | NR |
| Shamloo, 2019 [ | Serving (100 mL) of beetroot juice | 2 h pre-exercise | 7 | NA | NA | NA | NA |
| Inagawa, 2006 [ | Glycine (3 g) | 1 h pre-bed | 4 | NA | NA | NA | NA |
| Yamadera, 2007 [ | Glycine (3 g) | 1 h pre-bed | 2 | ⟷ NR | NA | ↓ NR ** | ⟷ NR |
| Bannai, 2012 [ | Glycine (3 g) | 30 min pre-bed | 3 | NA | NA | NA | NA |
| Ito, 2014 [ | L-serine (3 g) | 30 min pre-bed | 4 | NA | NA | NA | NA |
| Ito, 2014 [ | L-serine (3 g) | 30 min pre-bed | 2 | NA | NA | NA | NA |
| Yamatsu, 2016 [ | GABA (100 mg) | 30 min pre-bed | 7 | NA | ⟷ NR | ↓ 5.0 * | NA |
| Byun, 2018 [ | GABA (300 mg) | 1 h pre-bed | 28 | ↑ 8.6 | ↑ 6.7 * | ↓ 7.7 ** | ↓ 19.6 * |
| Simper, 2019 [ | Serving of “Night Time Recharge” sleep supplement | 1 h pre-bed | 7 | ↑ 0.37 | ↑ 5.9 | ↓ 10** | NR |
AVLE: Apocynum venetum leaf extract, GABA: γ-aminobutyric acid, GI: glycemic index, GL: glycemic load, NA: not applicable, NR: value not reported, SE: sleep efficiency, SOL: sleep onset latency, TST: total sleep time, ↑ increase, ↓ decrease, ⟷ no change, * p < 0.05, ** p < 0.01.