Evidence map›Paper›PMID 40756559›Full record

ArticleFrontiers in nutrition2025

Skeletal muscle mass estimation in Brazilian Jiu-Jitsu athletes: validation of predictive equations.

Alex Ojeda-Aravena, Eduardo Báez-San Marín, Xurxo Dopico-Calvo, Mauricio Cresp-Barría, Jorge Olivares-Arancibia, Jairo Azócar-Gallardo

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Article in Frontiers in nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Alex Ojeda-AravenaDepartamento de Ciencias de la Actividad Física, Universidad de Los Lagos, Osorno, Chile.
Eduardo Báez-San MarínLaboratorio de Fisiología del Ejercicio y Rendimiento Deportivo, Facultad de Ciencias de la Actividad Física y del Deporte, Universidad de Playa Ancha, Valparaíso, Chile.
Xurxo Dopico-CalvoPerformance and Health Group, Department of Physical Education and Sport, Universidade da Coruña, A Coruña, Spain.
Mauricio Cresp-BarríaDepartment of Innovation and Education, Faculty of Education, Catholic University of Temuco Chile, Temuco, Chile.
Jorge Olivares-ArancibiaAFySE Group, Research in Physical Activity and School Health, School of Physical Education, Faculty of Education, Universidad de las Américas, Santiago, Chile.
Jairo Azócar-GallardoPrograma de Investigación en Deporte, Sociedad y Buen Vivir (DSBv), Universidad de Los Lagos, Osorno, Chile.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate estimation of skeletal muscle mass (SMM) is important for body composition assessment in Brazilian Jiu-Jitsu (BJJ) athletes owing to body mass classification and force production implications. This study compared the validity, reliability, and agreement of three predictive equations-Kim, McCarthy, and Sagayama-for estimating total SMM (expressed in kilograms) in male BJJ athletes. Twenty-two male BJJ athletes (mean age: 33.1 ± 7.5 years; body mass: 78.4 ± 9.6 kg; height: 171.8 ± 6.4 cm) underwent DXA-derived body composition analysis. SMM was estimated using the Kim, McCarthy, and Sagayama equations. Statistical analyses included repeated-measures ANOVA, stepwise linear regression, Pearson's correlation, intraclass correlation coefficient (ICC), coefficient of variation (CV%), and Bland-Altman plots. The mean SMM estimated by the Kim equation was 28.95 ± 4.92 kg (95% CI: 26.89-31.00 kg), by the McCarthy equation, 27.39 ± 4.96 kg (95% CI: 25.32-29.47 kg), and by the Sagayama equation, 27.72 ± 3.71 kg (95% CI: 26.16-29.27 kg). The Kim equation yielded significantly higher SMM values than McCarthy (mean difference = 1.55 kg,

Indexed as

body composition assessmentBrazilian Jiu-Jitsudual-energy X-ray absorptiometrypredictive equationsskeletal muscle mass

Identifiers

PMID40756559
PMCPMC12313502

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