Cited by 89Eating Disorders and BehaviorsNutrition, Health and Food BehaviorSports Performance and Training

Prevalence of impaired physiological function consistent with Relative Energy Deficiency in Sport (RED-S): an Australian elite and pre-elite cohort

Rogers, Margot Anne, Appaneal, Renee Newcomer, Hughes, David, Vlahovich, Nicole, Waddington, Gordon, Burke, Louise M, Drew, Michael·2021·British Journal of Sports Medicine

Abstract

Objectives: Athlete health, training continuity and performance can be impeded as a result of Relative Energy Deficiency in Sport (RED-S). Here we report the point prevalence of symptoms described by the RED-S model in a mixed-sport cohort of Australian female athletes. Methods: Elite and pre-elite female athletes (n=112) from eight sports completed validated questionnaires and underwent clinical assessment to assess the point prevalence of RED-S symptoms. Questionnaires included the Depression, Anxiety and Stress Questionnaire (DASS-21), Generalized Anxiety Disorder (GAD-7), Center for Epidemiological Studies Depression Scale (CES-D), SCOFF questionnaire for disordered eating, Low Energy Availability in Females Questionnaire (LEAF-Q), and a custom questionnaire on injury and illness. Clinical assessment comprised resting metabolic rate (RMR) assessment, dual-energy X-ray absorptiometry-derived body composition and bone mineral density, venous and capillary blood samples, and the Mini International Neuropsychiatric Interview (MINI 7.0.2). Descriptive prevalence statistics are presented. Results: Almost all (80%) participants (age 19 (range 15–32) years; mass 69.5±10.3 kg; body fat 23.1%±5.0%) demonstrated at least one symptom consistent with RED-S, with 37% exhibiting between two and three symptoms. One participant demonstrated five symptoms. Impaired function of the immunological (28%, n=27), haematological (31%, n=33) and gastrointestinal (47%, n=51) systems were most prevalent. A moderate to high (11%–55%) prevalence of risk of low energy availability was identified via RMR and LEAF-Q, and identified mental illnesses were prevalent in one-third of the assessed cohort. Conclusion: Symptoms described by the RED-S model were prevalent in this cohort, supporting the need for improved awareness, monitoring and management of these symptoms in this population.

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Crossref · 10.1136/bjsports-2019-101517

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  • Other studies required athletes to exhibit symptoms such as menstrual dysfunction, impaired bone health, endocrine dysfunction, metabolic dysfunction, hematological abnormalities, psychological decline, or cardiovascular dysfunction to meet the criteria for REDs.

    “Other studies stated that athletes must exhibit symptoms such as menstrual dysfunction, impaired bone health, endocrine dysfunction, metabolic dysfunction, hematological abnormalities, psychological decline, or cardiovascular dysfunction to meet the criteria for REDs [82].”
  • In Rogers et al.'s study of elite and pre-elite Australian female athletes across multiple sports, 80% of participants were determined to have REDs based on the presence of at least one listed symptom.

    “In a study of elite and pre-elite Australian female athletes across multiple sports by Rogers et al., 80% of participants were determined to have REDs based on the presence of at least one of the symptoms listed in the previous sentence [82].”
  • Depressive symptoms and affective disorders, subjectively reported reduced well-being, primary or secondary exercise dependence/addiction, anxiety related to injury and/or recovery, sport-specific issues such as difficulty coping with weight requirements and the development of EDs are additional adverse mental health outcomes associated with problematic LEA and REDs.

    “Depressive symptoms and affective disorders, 8 78 79 subjectively reported reduced well-being, 73 primary or secondary exercise dependence/addiction, 80 81 anxiety related to injury and/or recovery, sport-specific issues such as difficulty coping with weight requirements 67 76 and the development of EDs 1 82 are additional adverse mental health outcomes associated with problematic LEA and REDs.”
  • There is a bi-directional association between iron deficiency and low energy availability (LEA).

    “There is a bi-directional association between iron deficiency and LEA.”
  • Energy-deficient athletes are at risk for iron deficiency due to decreased dietary intake, impaired absorption, and foot strike hemolysis.

    “Energy-deficient athletes are at risk for iron deficiency due to decreased dietary intake, impaired absorption, and foot strike hemolysis [5,54].”

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Authors
Rogers, M. A., Appaneal, R. N., Hughes, D., Vlahovich, N., Waddington, G., Burke, L. M., & Drew, M.
Affiliations
  • University of Canberra (AU)
  • Research Institute for Sport and Exercise, University of Canberra, Bruce, Australian Capital Territory, Australia
  • Sports Medicine, Australian Institute of Sport, Bruce, Australian Capital Territory, Australia
  • Australian Catholic University (AU)
Corresponding author
Rogers, Margot Anne
Venue
British Journal of Sports Medicine
Publisher
BMJ
Published
2020-11-16
Volume
55
Issue
1
Pages
38-45
ISSN
  • 0306-3674 (ISSN-L)
  • 1473-0480
OpenAlex
W3099367898
Cited by
89
References
6
Citations by year
2026: 10 · 2025: 19 · 2024: 28 · 2023: 13 · 2022: 12 · 2021: 7
FWCI
3.20
Type
journal article
Language
en
Open access
closed
Locations
  • British Journal of Sports Medicine (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • University of Canberra (Research Institute for Sport and Exercise (interna)
  • Australian Institute of Sport (High Performance Research Fund (Immune Health Mult)
Topics
  • Social Sciences › Psychology › Clinical Psychology › Eating Disorders and Behaviors
  • Health Sciences › Nursing › Nutrition and Dietetics › Nutrition, Health and Food Behavior
  • Health Sciences › Medicine › Orthopedics and Sports Medicine › Sports Performance and Training
Keywords
relative energy deficiency in sport, female athletes, low energy availability, immune dysfunction, gastrointestinal symptoms, mental health, disordered eating, bone mineral density, body composition, resting metabolic rate, LEAF-Q, DASS-21, GAD-7, CES-D, SCOFF questionnaire
MeSH terms
Cardiorespiratory Fitness, Relative Energy Deficiency in Sport, Adolescent, Adult, Australia, Basal Metabolism, Mental Disorders, Competitive Behavior, Cross-Sectional Studies, Female, Health Surveys, Humans, Interview, Psychological, Risk Factors, Biomarkers, Absorptiometry, Photon, Prevalence, Leptin, Young Adult

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