Literature DB >> 35819582

Markers of Low Energy Availability in Overreached Athletes: A Systematic Review and Meta-analysis.

Megan A Kuikman1, Alexandra M Coates1, Jamie F Burr2.   

Abstract

BACKGROUND: Overreaching is the transient reduction in performance that occurs following training overload and is driven by an imbalance between stress and recovery. Low energy availability (LEA) may drive underperformance by compounding training stress; however, this has yet to be investigated systematically.
OBJECTIVE: The aim of this study was to quantify changes in markers of LEA in athletes who demonstrated underperformance, and exercise performance in athletes with markers of LEA.
METHODS: Studies using a ≥ 2-week training block with maintained or increased training loads that measured exercise performance and markers of LEA were identified using a systematic search following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Changes from pre- to post-training were analyzed for (1) markers of LEA in underperforming athletes and (2) performance in athletes with ≥ 2 markers of LEA.
RESULTS: From 56 identified studies, 14 separate groups of athletes demonstrated underperformance, with 50% also displaying ≥ 2 markers of LEA post-training. Eleven groups demonstrated ≥ 2 markers of LEA independent of underperformance and 37 had no performance reduction or ≥ 2 markers of LEA. In underperforming athletes, fat mass (d =  - 0.29, 95% confidence interval [CI] - 0.54 to - 0.04; p = 0.02), resting metabolic rate (d =  - 0.63, 95% CI - 1.22 to - 0.05; p = 0.03), and leptin (d =  - 0.72, 95% CI - 1.08 to - 0.35; p < 0.0001) were decreased, whereas body mass (d =  - 0.04, 95% CI - 0.21 to 0.14; p = 0.70), cortisol (d =  - 0.06, 95% CI - 0.35 to 0.23; p = 0.68), insulin (d =  - 0.12, 95% CI - 0.43 to 0.19; p = 0.46), and testosterone (d =  - 0.31, 95% CI - 0.69 to 0.08; p = 0.12) were unaltered. In athletes with ≥ 2 LEA markers, performance was unaffected (d = 0.09, 95% CI - 0.30 to 0.49; p = 0.6), and the high heterogeneity in performance outcomes (I2 = 84.86%) could not be explained by the performance tests used or the length of the training block.
CONCLUSION: Underperforming athletes may present with markers of LEA, but overreaching is also observed in the absence of LEA. The lack of a specific effect and high variability of outcomes with LEA on performance suggests that LEA is not obligatory for underperformance.
© 2022. The Author(s), under exclusive licence to Springer Nature Switzerland AG.

Entities:  

Year:  2022        PMID: 35819582     DOI: 10.1007/s40279-022-01723-x

Source DB:  PubMed          Journal:  Sports Med        ISSN: 0112-1642            Impact factor:   11.928


  89 in total

1.  Energy expenditure and dietary intake during high-volume and low-volume training periods among male endurance athletes.

Authors:  Clemens Drenowatz; Joey C Eisenmann; Joseph J Carlson; Karin A Pfeiffer; James M Pivarnik
Journal:  Appl Physiol Nutr Metab       Date:  2012-02-23       Impact factor: 2.665

2.  Ovarian suppression impairs sport performance in junior elite female swimmers.

Authors:  Jaci L Vanheest; Carol D Rodgers; Carrie E Mahoney; Mary Jane De Souza
Journal:  Med Sci Sports Exerc       Date:  2014-01       Impact factor: 5.411

Review 3.  Energy availability in athletes.

Authors:  Anne B Loucks; Bente Kiens; Hattie H Wright
Journal:  J Sports Sci       Date:  2011-07-28       Impact factor: 3.337

4.  High dose exercise does not increase hunger or energy intake in free living males.

Authors:  N A King; A Lluch; R J Stubbs; J E Blundell
Journal:  Eur J Clin Nutr       Date:  1997-07       Impact factor: 4.016

Review 5.  Endocrine Effects of Relative Energy Deficiency in Sport.

Authors:  Kirsty J Elliott-Sale; Adam S Tenforde; Allyson L Parziale; Bryan Holtzman; Kathryn E Ackerman
Journal:  Int J Sport Nutr Exerc Metab       Date:  2018-07-14       Impact factor: 4.599

6.  Prevention, diagnosis, and treatment of the overtraining syndrome: joint consensus statement of the European College of Sport Science and the American College of Sports Medicine.

Authors:  Romain Meeusen; Martine Duclos; Carl Foster; Andrew Fry; Michael Gleeson; David Nieman; John Raglin; Gerard Rietjens; Jürgen Steinacker; Axel Urhausen
Journal:  Med Sci Sports Exerc       Date:  2013-01       Impact factor: 5.411

7.  American College of Sports Medicine position stand. The female athlete triad.

Authors:  Aurelia Nattiv; Anne B Loucks; Melinda M Manore; Charlotte F Sanborn; Jorunn Sundgot-Borgen; Michelle P Warren
Journal:  Med Sci Sports Exerc       Date:  2007-10       Impact factor: 5.411

8.  The IOC consensus statement: beyond the Female Athlete Triad--Relative Energy Deficiency in Sport (RED-S).

Authors:  Margo Mountjoy; Jorunn Sundgot-Borgen; Louise Burke; Susan Carter; Naama Constantini; Constance Lebrun; Nanna Meyer; Roberta Sherman; Kathrin Steffen; Richard Budgett; Arne Ljungqvist
Journal:  Br J Sports Med       Date:  2014-04       Impact factor: 13.800

9.  Effects of repeated days of intensified training on muscle glycogen and swimming performance.

Authors:  D L Costill; M G Flynn; J P Kirwan; J A Houmard; J B Mitchell; R Thomas; S H Park
Journal:  Med Sci Sports Exerc       Date:  1988-06       Impact factor: 5.411

10.  Decreased energy availability during training overload is associated with non-functional overreaching and suppressed ovarian function in female runners.

Authors:  Karine Schaal; Marta D VanLoan; Christophe Hausswirth; Gretchen A Casazza
Journal:  Appl Physiol Nutr Metab       Date:  2021-03-02       Impact factor: 2.665

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