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Cited by 0Sports Performance and TrainingCardiovascular and exercise physiologyMuscle metabolism and nutrition

The DOI matches its Crossref record; 77 of the 79 references it cites were found in a registry or an index, and 2 are not checked yet; none of the 85 sources its claims cite is checked for support yet.

Ageing, Sex Differences, and REDs Risk in Endurance Runners: An Integrated Cross-Sectional Study Protocol

Open access

Abstract

Endurance performance is influenced by age- and sex-specific physiological determinants, while emerging evidence indicates an increasing prevalence of Relative Energy Deficiency in Sport (REDs) among both young and master endurance runners. Despite its clinical relevance, limited data exist on how long-term endurance training modulates REDs risk, skeletal muscle characteristics, and physiological ageing in comparison with inactive individuals. Methods: This cross-sectional study protocol will examine 112 participants stratified by sex, age (20–35 vs. 65–80 years), and training status (endurance runners vs. inactive controls). Cardiorespiratory fitness (VO2max) is defined as the primary outcome. Secondary outcomes include body composition, musculoskeletal function, biochemical and hormonal markers, and REDs-related screening variables. Assessments will comprise cardiorespiratory testing, DXA-based bone and body composition analysis, isometric knee dynamometry, mobility testing, validated REDs screening tools (LEAF-Q, LEAM-Q, and IOC REDs CAT2), seven-day dietary and training monitoring, venous blood sampling, and skeletal muscle biopsies from the vastus lateralis. Results: This study is designed to generate an integrated overview of physiological, nutritional, metabolic, and muscle-cell characteristics across sex-, age-, and training-specific subgroups. Conclusions: This protocol provides comprehensive insight into how ageing and sex influence endurance physiology and REDs susceptibility and whether long-term endurance training preserves functional capacity across the lifespan. The findings aim to support evidence-based screening, prevention, and targeted interventions for REDs in endurance athletes.

Checked 2026-11-14 · 2 references not checked yet

Overview

CoChat Summary

TL;DR

This cross-sectional study protocol will examine 112 participants stratified by sex, age (20–35 vs. 65–80 years), and training status (endurance runners vs. inactive controls) to assess cardiorespiratory fitness and REDs-related risk. It aims to clarify how ageing and sex influence endurance physiology, musculoskeletal and bone health, and REDs susceptibility, but reports no empirical results.

Key findings

  • No results are reported; the paper is a protocol. The primary outcome is estimated VO2max, with secondary outcomes including body composition, musculoskeletal function, biochemical and hormonal markers, and REDs-related screening variables.
  • The a priori sample size is n = 112 total, corresponding to 14 participants per each of eight sex × age × training-status groups, calculated for an omnibus factorial ANOVA (α = 0.05, power = 0.90, Cohen’s f ≈ 0.42).
  • Assessments include incremental cycling VO2max, DXA bone/body composition, isometric knee dynamometry, Y-Balance testing, LEAF-Q/LEAM-Q/IOC REDs CAT2 screening, seven-day dietary/training monitoring, actigraphy, venous blood sampling, and vastus lateralis muscle biopsies.
  • The working hypothesis is that master endurance runners may show equal or lower prevalence of “high-risk” REDs screening profiles than younger endurance runners, while still potentially exhibiting specific REDs-related indicators such as low fat-free mass or altered endocrine/bone markers.

Methods

  • Cross-sectional protocol developed in accordance with SPIRIT guidelines; 112 participants will be enrolled across eight groups by sex, age (young adult 20–35 years; master/elderly 65–80 years), and athletic status (endurance runners vs. inactive controls). Endurance runners include elite-level Slovak athletes actively competing nationally/internationally, with performance benchmarks of ≤35 min (young) and ≤55 min (masters) in a 10 km run.
  • Primary outcome: estimated VO2max from a continuous incremental cycling test using the ACSM metabolic equation; secondary/exploratory outcomes include DXA body composition and bone parameters, isometric knee dynamometry, mobility, REDs screening tools (LEAF-Q, LEAM-Q, IOC REDs CAT2), seven-day dietary and training monitoring, wrist actigraphy, blood biomarkers, and muscle biopsy analyses (immunohistochemistry, electron microscopy, Western blot, qPCR, glycogen).
  • Statistical analysis: factorial ANOVA with sex, age category, and training status as fixed factors; post hoc comparisons with correction where significant; effect sizes reported as partial eta squared and Cohen’s d; exploratory outcomes interpreted as hypothesis-generating; significance set at p < 0.05.

Limitations

  • Stated: the cross-sectional design and single one-week monitoring period limit the ability to capture long-term physiological and health changes; selection bias is acknowledged because master endurance runners represent a highly motivated, health-conscious “healthy survivor” subgroup, limiting generalisability to the broader ageing population.
  • Stated: VO2max is estimated indirectly from maximal cycling power output, which may systematically underestimate aerobic capacity in endurance runners compared with treadmill running, and cycling efficiency may vary by age and sex; REDs screening tools rely on self-reported symptoms and may be vulnerable to recall bias.
  • Stated: the large number of assessed outcomes increases the likelihood that some findings will remain primarily descriptive, and the design does not allow longitudinal monitoring of training load, dietary patterns, hormonal fluctuations, or menstrual-cycle variability. Evident: as a protocol, no outcome data or conclusions can yet be drawn.

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Integrity signals

Registry

Crossref · 10.3390/sports14030121

Cites

77 of 79 references verified0 citation errors · 0 not checkable

Statistics

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Figures

Figure 1 The cross-sectional study design. (Created with BioRender.com.)
Figure 1 The cross-sectional study design. (Created with BioRender.com.)CC BY · PubMed Central

Verification

Claims the paper makes

0 Valid · 1 Not valid · 48 Not checked · 35 Own results and interpretations

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Citations

Cites

Show all 77 references

Research works printed but not linked: 4

  1. American College of Sports Medicine (2025). ACSM’s Guidelines for Exercise Testing and Prescription, Lippincott Williams & Wilkins.
  2. Bajer, 2019, Nutrition Timing and Macronutrient Intake in Endurance Athletes, Acta Facult. Educ. Phys. Univ. Comen., 59, 134
  3. Evans, 1982, Suction Applied to a Muscle Biopsy Maximizes Sample Size, Med. Sci. Sports Exerc., 14, 101
  4. Murach, 2021, Muscle Fiber Types and the Myonuclear Domain: A Reconsideration of Funda-mental Principles, Muscle Nerve, 63, 455

Cited by

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Metadata

Authors
Oreská, Ľ., Kundeková, B., Varga, L., Stebelová, K., Okuliarová, M., Payer, J., & Sedliak, M.
Affiliations
  • Comenius University Bratislava (SK)
  • University Hospital Bratislava (SK)
Venue
Sports
Publisher
MDPI AG
Published
2026-03-19
Volume
14
Issue
3
Pages
121
ISSN
2075-4663 (ISSN-L)
OpenAlex
W7138934842
Cited by
0
References
77
FWCI
0.00
Type
journal article
Language
en
Open access
Locations
  • Sports (publishedVersion, cc-by)
  • Preprints.org (submittedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • Slovak Research and Development Agency grant (APVV-21-0164)
  • Vedecká grantová agentúra Ministerstva školstva, výskumu, vývoja a mládeže Slovenskej republiky a Slovenskej akadémie vied VEGA grant (1/0554/24)
  • Vedecká grantová agentúra Ministerstva školstva, výskumu, vývoja a mládeže Slovenskej repubiky a Slovenskej akadémie vied VEGA grant (1/0482/23)
Topics
  • Health Sciences › Medicine › Orthopedics and Sports Medicine › Sports Performance and Training
  • Health Sciences › Medicine › Physiology (medical) › Cardiovascular and exercise physiology
  • Health Sciences › Nursing › Nutrition and Dietetics › Muscle metabolism and nutrition
Keywords
relative energy deficiency in sport, endurance runners, aging, sex differences, master athletes, cardiorespiratory fitness, VO2max, body composition, musculoskeletal function, LEAF-Q, dietary intake, hormonal markers, vastus lateralis

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This page
CoChat. (2026). Citation check: Ageing, Sex Differences, and REDs Risk in Endurance Runners: An Integrated Cross-Sectional Study Protocol. https://app.cochat.ai/papers/10.3390/sports14030121
The paper
Oreská, Ľ., Kundeková, B., Varga, L., Stebelová, K., Okuliarová, M., Payer, J., & Sedliak, M. (2026). Ageing, Sex Differences, and REDs Risk in Endurance Runners: An Integrated Cross-Sectional Study Protocol. Sports. https://doi.org/10.3390/sports14030121

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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.