Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 18

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Association between Low Energy Availability (LEA) and Impaired Sleep Quality in Young Rugby Players

Saidi, Oussama, Souabni, Maher, Del Sordo, Giovanna C., Maviel, Clément, Peyrel, Paul, Maso, Freddy, Vercruyssen, Fabrice, Duché, Pascale·2024·Nutrients

Abstract

Low energy availability (LEA) has been associated with several physiological consequences, but its impact on sleep has not been sufficiently investigated, especially in the context of young athletes. This study examined the potential association between energy availability (EA) status and objective sleep quality in 42 male rugby players (mean age: 16.2 ± 0.8 years) during a 7-day follow-up with fixed sleep schedules in the midst of an intensive training phase. Participants’ energy intake was weighed and recorded. Exercise expenditure was estimated using accelerometry. Portable polysomnography devices captured sleep on the last night of the follow-up. Mean EA was 29.3 ± 9.14 kcal·kg FFM−1·day−1, with 47.6% of athletes presenting LEA, 35.7% Reduced Energy Availability (REA), and 16.7% Optimal Energy Availability (OEA). Lower sleep efficiency (SE) and N3 stage proportion, along with higher wake after sleep onset (WASO), were found in participants with LEA compared to those with OEA (p = 0.04, p = 0.03 and p = 0.005, respectively, with large effect sizes). Segmented regression models of the EA-sleep outcomes (SE, sleep onset latency [SOL]), WASO and N3) relationships displayed two separate linear regions and produced a best fit with a breakpoint between 21–33 kcal·kg FFM−1·day−1. Below these thresholds, sleep quality declines considerably. It is imperative for athletic administrators, nutritionists, and coaches to conscientiously consider the potential impact of LEA on young athletes’ sleep, especially during periods of heavy training.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3390/nu16050609

Cites

10 of 10 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Research works printed but not linked: 50

  1. Fowler, 2017, Greater Effect of East versus West Travel on Jet Lag, Sleep, and Team Sport Performance, Med. Sci. Sports Exerc., 49, 2548, 10.1249/MSS.0000000000001374 · DOI
  2. Saidi, 2019, Acute Effect of an Intensified Exercise Program on Subsequent Sleep, Dietary Intake, and Performance in Junior Rugby Players, Eur. J. Appl. Physiol., 119, 2075, 10.1007/s00421-019-04196-5 · DOI
  3. Suppiah, 2016, Restricted and Unrestricted Sleep Schedules of Asian Adolescent, High-Level Student Athletes: Effects on Sleep Durations, Marksmanship and Cognitive Performance, Biol. Rhythm Res., 47, 505, 10.1080/09291016.2016.1151102 · DOI
  4. Suppiah, 2021, Sleep Characteristics of Elite Youth Athletes: A Clustering Approach to Optimize Sleep Support Strategies, Int. J. Sports Physiol. Perform., 16, 1225, 10.1123/ijspp.2020-0675 · DOI
  5. Milewski, 2014, Chronic Lack of Sleep Is Associated with Increased Sports Injuries in Adolescent Athletes, J. Pediatr. Orthop., 34, 129, 10.1097/BPO.0000000000000151 · DOI · Paper page
  6. Frohm, 2017, Too Little Sleep and an Unhealthy Diet Could Increase the Risk of Sustaining a New Injury in Adolescent Elite Athletes, Scand. J. Med. Sci. Sport., 27, 1364, 10.1111/sms.12735 · DOI · Paper page
  7. Silverberg, 2016, Relationship between Short Sleep Duration and Preseason Concussion Testing, Clin. J. Sport Med., 26, 226, 10.1097/JSM.0000000000000241 · DOI
  8. Taylor, 2016, The Importance of Monitoring Sleep within Adolescent Athletes: Athletic, Academic, and Health Considerations, Front. Physiol., 7, 101, 10.3389/fphys.2016.00101 · DOI
  9. Roberts, 2019, Effects of Training and Competition on the Sleep of Elite Athletes: A Systematic Review and Meta-Analysis, Br. J. Sports Med., 53, 513, 10.1136/bjsports-2018-099322 · DOI
  10. Desbrow, 2014, Sports Dietitians Australia Position Statement: Sports Nutrition for the Adolescent Athlete, Int. J. Sport Nutr. Exerc. Metab., 24, 570, 10.1123/ijsnem.2014-0031 · DOI · Paper page
  11. Burrows, T., Harries, S.K., Williams, R.L., Lum, C., and Callister, R. (2016). The Diet Quality of Competitive Adolescent Male Rugby Union Players with Energy Balance Estimated Using Different Physical Activity Coefficients. Nutrients, 8. · DOI · Paper page
  12. Zourdos, 2015, Dietary Intake Habits and Controlled Training on Body Composition and Strength in Elite Female Volleyball Players during the Season, Appl. Physiol. Nutr. Metab., 40, 827, 10.1139/apnm-2015-0100 · DOI · Paper page
  13. Holway, 2011, Sport-Specific Nutrition: Practical Strategies for Team Sports, J. Sports Sci., 29, S115, 10.1080/02640414.2011.605459 · DOI · Paper page
  14. Reid, 2013, Physiological, Perceptual, and Technical Responses to on-Court Tennis Training on Hard and Clay Courts, J. Strength Cond. Res., 27, 1487, 10.1519/JSC.0b013e31826caedf · DOI
  15. Lastella, 2020, The Impact of Training Load on Sleep during a 14-Day Training Camp in Elite, Adolescent, Female Basketball Players, Int. J. Sports Physiol. Perform., 15, 724, 10.1123/ijspp.2019-0157 · DOI
  16. Dave, 2022, Relative Energy Deficiency in Sport (RED-S), Curr. Probl. Pediatr. Adolesc. Health Care, 52, 101242, 10.1016/j.cppeds.2022.101242 · DOI
  17. Tarnowski, 2023, Measurement of Energy Intake Using the Principle of Energy Balance Overcomes a Critical Limitation in the Assessment of Energy Availability, Sport. Med.—Open, 9, 16, 10.1186/s40798-023-00558-8 · DOI
  18. Tornberg, 2017, Reduced Neuromuscular Performance in Amenorrheic Elite Endurance Athletes, Med. Sci. Sports Exerc., 49, 2478, 10.1249/MSS.0000000000001383 · DOI
  19. Pardue, 2017, Case Study: Unfavorable but Transient Physiological Changes during Contest Preparation in a Drug-Free Male Bodybuilder, Int. J. Sport Nutr. Exerc. Metab., 27, 550, 10.1123/ijsnem.2017-0064 · DOI · Paper page
  20. Gillbanks, L., Mountjoy, M., and Filbay, S.R. (2022). Lightweight Rowers’ Perspectives of Living with Relative Energy Deficiency in Sport (RED-S). PLoS ONE, 17. · DOI · Paper page
  21. Garron, T., and Klein, D.J. (2023). Male Army ROTC Cadets Fail to Meet Military Dietary Reference Intakes and Exhibit a High Prevalence of Low Energy Availability and Poor Sleep Quality. J. Funct. Morphol. Kinesiol., 8. · DOI
  22. Thomas, 2023, Case Report: Effect of Low Energy Availability and Training Load on Sleep in a Male Combat Sport Athlete, Front. Sport. Act. Living, 4, 981755, 10.3389/fspor.2022.981755 · DOI
  23. Saidi, 2022, Sleep Pattern and Staging in Elite Adolescent Rugby Players during the In-Season Competitive Phase Compared to an Age Matched Non-Athlete Population, Eur. J. Sport Sci., 22, 499, 10.1080/17461391.2021.1887368 · DOI
  24. Shahid, A., Wilkinson, K., Marcu, S., and Shapiro, C.M. (2012). STOP, THAT and One Hundred Other Sleep Scales, Springer Science & Business Media. · DOI · Paper page
  25. Evenson, 2008, Calibration of Two Objective Measures of Physical Activity for Children, J. Sports Sci., 26, 1557, 10.1080/02640410802334196 · DOI · Paper page
  26. Trost, 2011, Comparison of Accelerometer Cut Points for Predicting Activity Intensity in Youth, Med. Sci. Sports Exerc., 43, 1360, 10.1249/MSS.0b013e318206476e · DOI · Paper page
  27. Loucks, 2011, Energy Availability in Athletes, J. Sports Sci., 29, S7, 10.1080/02640414.2011.588958 · DOI · Paper page
  28. Levendowski, 2012, Retrospective Cross-Validation of Automated Sleep Staging Using Electroocular Recording in Patients with and without Sleep Disordered Breathing, Int. Arch. Med., 5, 21, 10.1186/1755-7682-5-21 · DOI
  29. Popovic, 2014, Automatic Scoring of Sleep Stages and Cortical Arousals Using Two Electrodes on the Forehead: Validation in Healthy Adults, J. Sleep Res., 23, 211, 10.1111/jsr.12105 · DOI
  30. Levendowski, 2017, The Accuracy, Night-To-Night Variability, and Stability of Frontopolar Sleep Electroencephalography Biomarkers, J. Clin. Sleep Med., 13, 791, 10.5664/jcsm.6618 · DOI
  31. Berry, 2017, AASM Scoring Manual Updates for 2017 (Version 2.4), J. Clin. Sleep Med., 13, 665, 10.5664/jcsm.6576 · DOI · Paper page
  32. Koehler, 2013, Comparison of Self-Reported Energy Availability and Metabolic Hormones to Assess Adequacy of Dietary Energy Intake in Young Elite Athletes, Appl. Physiol. Nutr. Metab., 38, 725, 10.1139/apnm-2012-0373 · DOI
  33. McCormack, 2019, Bone Mineral Density, Energy Availability, and Dietary Restraint in Collegiate Cross-Country Runners and Non-Running Controls, Eur. J. Appl. Physiol., 119, 1747, 10.1007/s00421-019-04164-z · DOI
  34. Areta, 2021, Low Energy Availability: History, Definition and Evidence of Its Endocrine, Metabolic and Physiological Effects in Prospective Studies in Females and Males, Eur. J. Appl. Physiol., 121, 1, 10.1007/s00421-020-04516-0 · DOI · Paper page
  35. Tenforde, 2018, Endocrine Effects of Relative Energy Deficiency in Sport, Int. J. Sport Nutr. Exerc. Metab., 28, 335, 10.1123/ijsnem.2018-0127 · DOI · Paper page
  36. Nattiv, 2021, The Male Athlete Triad—A Consensus Statement From the Female and Male Athlete Triad Coalition Part 1: Definition and Scientific Basis, Clin. J. Sport Med., 31, 335, 10.1097/JSM.0000000000000946 · DOI
  37. Fredericson, 2021, The Male Athlete Triad—A Consensus Statement From the Female and Male Athlete Triad Coalition Part II: Diagnosis, Treatment, and Return-To-Play, Clin. J. Sport Med., 31, 349, 10.1097/JSM.0000000000000948 · DOI · Paper page
  38. Valter, 2008, Increases in Ghrelin and Decreases in Leptin without Altering Adiponectin during Extreme Weight Loss in Male Competitive Bodybuilders, Metabolism., 57, 221, 10.1016/j.metabol.2007.09.004 · DOI
  39. Morgan, 2020, Mealtime: A Circadian Disruptor and Determinant of Energy Balance?, J. Neuroendocrinol., 32, e12886, 10.1111/jne.12886 · DOI
  40. Toshinai, 2003, Ghrelin-Induced Food Intake Is Mediated via the Orexin Pathway, Endocrinology, 144, 1506, 10.1210/en.2002-220788 · DOI · Paper page
  41. Mogavero, M.P., Godos, J., Grosso, G., Caraci, F., and Ferri, R. (2023). Rethinking the Role of Orexin in the Regulation of REM Sleep and Appetite. Nutrients, 15. · DOI
  42. Falkenberg, 2021, Nutrient Intake, Meal Timing and Sleep in Elite Male Australian Football Players, J. Sci. Med. Sport, 24, 7, 10.1016/j.jsams.2020.06.011 · DOI
  43. Sakurai, 2005, Roles of Orexin/Hypocretin in Regulation of Sleep/Wakefulness and Energy Homeostasis, Sleep Med. Rev., 9, 231, 10.1016/j.smrv.2004.07.007 · DOI · Paper page
  44. Sakurai, 2010, The orexin system: Roles in sleep/wake regulation, Ann. N. Y. Acad. Sci., 1200, 149, 10.1111/j.1749-6632.2010.05513.x · DOI
  45. Papageorgiou, 2017, Effects of Reduced Energy Availability on Bone Metabolism in Women and Men, Bone, 105, 191, 10.1016/j.bone.2017.08.019 · DOI · Paper page
  46. Darimont, 2023, The Interrelationship between Sleep, Diet, and Glucose Metabolism, Sleep Med. Rev., 69, 101788, 10.1016/j.smrv.2023.101788 · DOI · Paper page
  47. Schultes, 2010, Sleep and the Response to Hypoglycaemia, Best Pract. Res. Clin. Endocrinol. Metab., 24, 801, 10.1016/j.beem.2010.07.006 · DOI
  48. Hallschmid, 2007, Awakening and Counterregulatory Response to Hypoglycemia during Early and Late Sleep, Diabetes, 56, 1938, 10.2337/db07-0044 · DOI · Paper page
  49. Souabni, 2023, Nap Improved Game-Related Technical Performance and Physiological Response during Small-Sided Basketball Game in Professional Players, Biol. Sport, 40, 389, 10.5114/biolsport.2023.116004 · DOI
  50. Souabni, 2021, Benefits of Daytime Napping Opportunity on Physical and Cognitive Performances in Physically Active Participants: A Systematic Review, Sport. Med., 51, 2115, 10.1007/s40279-021-01482-1 · DOI

Cited by

See all 18

Metadata

Authors
Saidi, O., Souabni, M., Del Sordo, G. C., Maviel, C., Peyrel, P., Maso, F., Vercruyssen, F., & Duché, P.
Affiliations
  • Laboratory Youth-Physical Activity and Sports-Health (JAP2S), Toulon University, F-83041 Toulon, France
  • Psychology Department, New Mexico State University, 1780 E University Blvd, Las Cruces, NM 88003, USA
  • Department of Kinesiology, Laval University, Quebec City, QC G1V 0A6, Canada
  • Rugby Training Center of the Sportive Association Montferrandaise, F-63100 Clermont-Ferrand, France
Venue
Nutrients
Publisher
MDPI AG
Published
2024-02-23
Volume
16
Issue
5
Pages
609
ISSN
2072-6643
Cited by
18
References
10
Language
en
Funders
  • Sportive Association Montferrandaise (ASM)
  • Toulon University

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 ›

Are you an author, or do you see a problem with this page? Request a review

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.