A systematic comparison of commonly used stoichiometric equations to estimate fat oxidation during exercise in athletes.


Journal

The Journal of sports medicine and physical fitness
ISSN: 1827-1928
Titre abrégé: J Sports Med Phys Fitness
Pays: Italy
ID NLM: 0376337

Informations de publication

Date de publication:
Oct 2021
Historique:
pubmed: 15 12 2020
medline: 21 10 2021
entrez: 14 12 2020
Statut: ppublish

Résumé

Over the last half-century, different stoichiometric equations for calculating the energy cost of exercise based upon the combustion of mixtures of carbohydrates, fats, and proteins have been proposed and modified. With the means of indirect calorimetry, while measuring oxygen uptake, carbon dioxide production, and urinary urea nitrogen excretion, the contribution of specific substrates to overall energy production can be estimated. However, even with their long history of application, no previous studies have evaluated whether the use of different stoichiometric equations provides similar or distinct maximal fat oxidation rate (MFO) responses and information regarding MFO location (FAT<inf>max</inf>) in male athletes. Twenty healthy male athletes performed graded exercise testing (GXT) cycle ergometry using breath by breath gas analysis to assess fat oxidation and maximal oxygen uptake. Analysis of variance followed by within-equation effects, within-equation factors, and post hoc pairwise comparisons were used to examine within-equation differences. Compared stoichiometric equations demonstrated significant differences in the mean and maximal fat oxidation rates, varying up to nearly 7%. FAT<inf>max</inf> differences, however, were not noticed. Our findings suggest that for within-study designs, the equation used appears to be less important, but when inter-study comparisons are planned, caution is in order due to the presence of inter-equation differences.

Sections du résumé

BACKGROUND BACKGROUND
Over the last half-century, different stoichiometric equations for calculating the energy cost of exercise based upon the combustion of mixtures of carbohydrates, fats, and proteins have been proposed and modified. With the means of indirect calorimetry, while measuring oxygen uptake, carbon dioxide production, and urinary urea nitrogen excretion, the contribution of specific substrates to overall energy production can be estimated. However, even with their long history of application, no previous studies have evaluated whether the use of different stoichiometric equations provides similar or distinct maximal fat oxidation rate (MFO) responses and information regarding MFO location (FAT<inf>max</inf>) in male athletes.
METHODS METHODS
Twenty healthy male athletes performed graded exercise testing (GXT) cycle ergometry using breath by breath gas analysis to assess fat oxidation and maximal oxygen uptake. Analysis of variance followed by within-equation effects, within-equation factors, and post hoc pairwise comparisons were used to examine within-equation differences.
RESULTS RESULTS
Compared stoichiometric equations demonstrated significant differences in the mean and maximal fat oxidation rates, varying up to nearly 7%. FAT<inf>max</inf> differences, however, were not noticed.
CONCLUSIONS CONCLUSIONS
Our findings suggest that for within-study designs, the equation used appears to be less important, but when inter-study comparisons are planned, caution is in order due to the presence of inter-equation differences.

Identifiants

pubmed: 33314884
pii: S0022-4707.20.11747-X
doi: 10.23736/S0022-4707.20.11747-X
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1354-1361

Auteurs

Ratko Peric (R)

Sport Studio BL Association for Contemporary Education in Sports, Banja Luka, Bosnia and Herzegovina - ratkoperic@yahoo.com.

Alberto DI Pietro (A)

Cosmed Srl, Rome, Italy.

Jonathan Myers (J)

VA Palo Alto Health Care System, Stanford University School of Medicine, Stanford, CA, USA.

Zoran Nikolovski (Z)

Faculty of Kinesiology, University of Split, Split, Croatia.

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Classifications MeSH