Impact of Equation Choice on Resting Metabolic Rate Ratio in High-Level Men and Women Athletes

To examine the impact of the RMR ratio cutoff point selected on the categorization of prevalence/absence of low energy availability among predictive equations in high-level athletes (  = 241 [99 women]; 52% competed at the World Championship and Olympic Games), and whether this categorization is inf...

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Published in:Journal of the American Nutrition Association Vol. 43; no. 5; p. 421
Main Authors: Alcantara, Juan M A, Hausen, Matheus, Itaborahy, Alex, Freire, Raul
Format: Journal Article
Language:English
Published: United States 03.07.2024
Subjects:
Adolescent
Adult
Athletes - statistics & numerical data
Basal Metabolism - physiology
Calorimetry, Indirect - methods
Female
Humans
Male
Relative Energy Deficiency in Sport - epidemiology
Relative Energy Deficiency in Sport - metabolism
Sex Factors
Young Adult
energy needs
Energy expenditure
metabolism
ISSN:2769-707X, 2769-707X
Online Access:Get more information
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Summary:To examine the impact of the RMR ratio cutoff point selected on the categorization of prevalence/absence of low energy availability among predictive equations in high-level athletes (  = 241 [99 women]; 52% competed at the World Championship and Olympic Games), and whether this categorization is influenced by sex and the predictive equation used. We assessed RMR using indirect calorimetry, predicted the RMR using the equations proposed by Harris-Benedict, FAO/WHO/UNU, de Lorenzo, ten Haaf and Wejis, Wong, Jagim, Cunningham, and Freire, and computed the RMR ratio for each equation. We observed that the cumulative percentage of RMR ratio values increased at a faster rate using Jagim, ten Haaf and Wejis, and Cunningham equations compared to the other equations. At the 0.90 value (the most used cutoff point in literature), the Jagim equation categorized ≥ 50% of the athletes into "low energy availability". No Sex × Equation × Sport interaction effect was observed ( = 0.10, = 1.0). There was a significant main effect to Sex ( = 11.7, < 0.001, ES = 0.05), Sport ( = 16.4, < 0.001, ES = 0.01), and Equation ( = 64.1, < 0.001, ES = 0.19). Wong and FAO/WHO/UNU equations yielded the largest errors (assessed vs. predicted RMR) in men and women, respectively. The selected RMR ratio cutoff point influences the prevalence/absence of low energy availability characterization in high-level athletes and suggests that certain equations could bias its assessment.
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ISSN:2769-707X
2769-707X
DOI:10.1080/27697061.2023.2301405