Accuracy of Anthropometric Equations to Estimate DXA-Derived Skeletal Muscle Mass in Professional Male Soccer Players.


Journal

Journal of sports medicine (Hindawi Publishing Corporation)
ISSN: 2356-7651
Titre abrégé: J Sports Med (Hindawi Publ Corp)
Pays: United States
ID NLM: 101633176

Informations de publication

Date de publication:
2019
Historique:
received: 08 10 2018
revised: 15 11 2018
accepted: 04 12 2018
entrez: 30 1 2019
pubmed: 30 1 2019
medline: 30 1 2019
Statut: epublish

Résumé

Several anthropometric equations that estimate skeletal muscle mass (SMM) have been published, but their applicability and accuracy among athletes are still uncertain. To assess the accuracy of different anthropometric equations that estimate SMM in professional male soccer players, as compared to dual-energy X-ray absorptiometry (DXA) as the reference method. In this cross-sectional study, we evaluated 179 professional male soccer players aged between 18 and 37 years. Anthropometric measurements (height, body weight, skinfold thicknesses, and girths) and a DXA whole body scan were performed the same day for each participant, and SMM was estimated with nine anthropometric equations (Heymsfield, Martin, Doupe, Kerr, Drinkwater, Lee, De Rose, and two equations published by Kuriyan). To determine differences between SMM estimated with anthropometric equations and SMM evaluated with DXA, a Kruskal-Wallis test was performed using Dunn's test as post hoc. The significance level was set at Only Heymsfield's and Lee's equations showed no significant differences with DXA. Heymsfield's equation had the smallest mean difference (-0.17 kg), but wider limits of agreement with DXA (-6.61 to 6.94 kg). Lee's equation had a small mean difference (1.10 kg) but narrower limits of agreement with DXA (-1.83 to 4.03 kg). In this study, the prediction equation published by Lee et al. showed the best agreement with DXA and is able to estimate SMM accurately in professional male soccer players.

Sections du résumé

BACKGROUND BACKGROUND
Several anthropometric equations that estimate skeletal muscle mass (SMM) have been published, but their applicability and accuracy among athletes are still uncertain.
PURPOSE OBJECTIVE
To assess the accuracy of different anthropometric equations that estimate SMM in professional male soccer players, as compared to dual-energy X-ray absorptiometry (DXA) as the reference method.
METHODS METHODS
In this cross-sectional study, we evaluated 179 professional male soccer players aged between 18 and 37 years. Anthropometric measurements (height, body weight, skinfold thicknesses, and girths) and a DXA whole body scan were performed the same day for each participant, and SMM was estimated with nine anthropometric equations (Heymsfield, Martin, Doupe, Kerr, Drinkwater, Lee, De Rose, and two equations published by Kuriyan). To determine differences between SMM estimated with anthropometric equations and SMM evaluated with DXA, a Kruskal-Wallis test was performed using Dunn's test as post hoc. The significance level was set at
RESULTS RESULTS
Only Heymsfield's and Lee's equations showed no significant differences with DXA. Heymsfield's equation had the smallest mean difference (-0.17 kg), but wider limits of agreement with DXA (-6.61 to 6.94 kg). Lee's equation had a small mean difference (1.10 kg) but narrower limits of agreement with DXA (-1.83 to 4.03 kg).
CONCLUSIONS CONCLUSIONS
In this study, the prediction equation published by Lee et al. showed the best agreement with DXA and is able to estimate SMM accurately in professional male soccer players.

Identifiants

pubmed: 30693287
doi: 10.1155/2019/4387636
pmc: PMC6332936
doi:

Types de publication

Journal Article

Langues

eng

Pagination

4387636

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Auteurs

Roberto Gabriel González-Mendoza (RG)

Institute of Applied Sciences for Physical Activity and Sport, Department of Human Movement Sciences, Education, Sport, Recreation and Dance, University Health Sciences Center, University of Guadalajara, Guadalajara, JAL, Mexico.

Alejandro Gaytán-González (A)

Institute of Applied Sciences for Physical Activity and Sport, Department of Human Movement Sciences, Education, Sport, Recreation and Dance, University Health Sciences Center, University of Guadalajara, Guadalajara, JAL, Mexico.
Department of Human Reproduction, Infantile Growth and Development, University Health Sciences Center, University of Guadalajara, Guadalajara, JAL, Mexico.

Juan Antonio Jiménez-Alvarado (JA)

Institute of Applied Sciences for Physical Activity and Sport, Department of Human Movement Sciences, Education, Sport, Recreation and Dance, University Health Sciences Center, University of Guadalajara, Guadalajara, JAL, Mexico.

Marisol Villegas-Balcázar (M)

Institute of Applied Sciences for Physical Activity and Sport, Department of Human Movement Sciences, Education, Sport, Recreation and Dance, University Health Sciences Center, University of Guadalajara, Guadalajara, JAL, Mexico.

Edtna E Jáuregui-Ulloa (EE)

Institute of Applied Sciences for Physical Activity and Sport, Department of Human Movement Sciences, Education, Sport, Recreation and Dance, University Health Sciences Center, University of Guadalajara, Guadalajara, JAL, Mexico.

Francisco Torres-Naranjo (F)

Institute of Applied Sciences for Physical Activity and Sport, Department of Human Movement Sciences, Education, Sport, Recreation and Dance, University Health Sciences Center, University of Guadalajara, Guadalajara, JAL, Mexico.
Center of Body Composition and Bone Research, Guadalajara, JAL, Mexico.

Juan R López-Taylor (JR)

Institute of Applied Sciences for Physical Activity and Sport, Department of Human Movement Sciences, Education, Sport, Recreation and Dance, University Health Sciences Center, University of Guadalajara, Guadalajara, JAL, Mexico.

Classifications MeSH