Correlation between body composition data obtained by DXA and skinfold predictive protocols in sprinters
DOI:
https://doi.org/10.1590/1980-0037.2022v24e83828Palabras clave:
Absorptiometry, Photon, Anthropometry, Body composition, SportsResumen
The aim of this study was to describe the correlation between body composition data obtained through DXA and through skinfolds strategy, with some of their respective formulas, in sprinters. The sample consisted of 15 male sprinters (23.81 years ± 3.11; 70.06 Kg ± 4.38; and 179.13 CM ± 5.16) all high performance runners of speed and barriers events (100m, 200m, 400m, 110m with barriers and 400m with barriers). The athletes were submitted to DXA evaluation procedure and to skinfolds collection (triceps, biceps, subscapular, supra iliac, abdominal, medial thigh and calf) and the results were calculated through four distinct equations: Slaughter, Faulkner, Lázari and Boileau. The respective DXA correlations (0.60; 0.81; 0.23 and 0.48) and the equations predicted by skinfold strategy were calculated using Pearson correlation. Among the equations used, Faulkner's was the one presenting highest correlation value when compared to DXA protocol, although all of them aimed to estimate values for BF%.
Citas
Loturco I, Kobal R, Kitamura K, Fernandes V, Moura N, Siqueira, et al. Predictive factors of elite sprint performance: Influences of muscle mechanical properties and functional parameters. J Strength Cond Res 2017; 33 (4):974-986.
Barbieri D, Zaccagni L, Babic V, Rakovac M, Misigoj-Durakovic M, Gualdi-Russo E. Body composition and size in sprint athletes. J Sports Med Phys Fitness 2017; 57:1142-6.
Abe T, Kawamoto K, Dankel SJ, Bell ZW, Spitz RW, Wong V, et al. Longitudinal associations between changes in body composition and changes in sprint performance in elite female sprinters. Eur J Sport Sci 2019; 20 (1):100-105
International Association of Athletics Federations / IAAF. Available from:https://www.worldathletics.org/records/by-category/world-records. [2020 April 24].
Kraemer WJ, Fleck SJ, Deschenes MR. Fisiologia do exercício: Teoria & prática. Rio de Janeiro: Guanabara Koogan. 2015.
Almeida TA, Soares, EA. Perfil Dietético Antropométrico de Atletas Adolescentes de Voleibol. Rev Bras Med Esporte 2017; 4 (9):191-197
Neto AP, César MC. Avaliação da Composição Corporal de Atletas de Basquetebol do Sexo Masculino Participantes da Liga Nacional 2003. Rev Bras Cineantropom Desempenho Hum 2005; 7 (1):35-44.
Prado WL, Botero JP, Guerra RLF, Rodrigues CL, Cuvello LC, Damaso AR. Perfil Antropométrico e Ingestão de Macronutrientes em Atletas Profissionais Brasileiros de Futebol, de Acordo Com Suas Posições. Rev Bras Med Esporte 2006;2 (12):61-65
Ross WD, Marfell-Jones MT. Kinanthropometry. In: MacDougall JD. Wenger HA, Green HJ (Eds.). Physiological testing of the high-performance athlete (2nd ed.). Champaign, Illinois: Human Kinetics; 1991. p.233-306.
Harrison GG, Buskirk ER, Carter JEL, Johnston FE, Lohman TG, Pollock ML, et al. Skinfold thicknesses and measurement technique. In: Lohman TG, Roche AF, Martorell R, editors. Anthropometric standardization reference manual. Champaign (IL): Human Kinetics; 1988. p.55-70.
Boileau RA, Lohman TG, Slaughter MH. Exercise and body composition in children and youth. Scand. J Sports Sci 1985; 7:17-27.
Faulkner JA. Physiology of swimming and diving. In: Falls H. Exercise physiology. Baltimore: Academic Press;1968. p.415-446.
Lázari EC, Acompanhamento da Potência Muscular, Antropometria e Performance em Velocistas de Alto Nível, [Tese de Doutorado - Educação Física, na área de Biodinâmica do Movimento e Esporte]. Campinas (SP): Universidade Estadual de Campinas; 2017
Slaughter MH, Lohman RA, Boileau CA, Horswill RJ, Stillman RJ, Van Loan MD, et al. Skinfold Equations for Estimation of Body Fatness in Children and Youth. Hum Biol 1988; 5 (60): 709-723
Martins NC, Alves FD, Sehl P, Schneider CD, Souza GC. Comparação entre métodos de avaliação da composição corporal em atletas: uma revisão sistemática. Rev Bras Nutr Esportiva 2019; 82 (13):912-922.
Deutz RC, Benardot D, Martin DE, Cody MM. Relationship between energy deficits and body composition in elite female gymnasts and runners. Med Sci Sports Exerc 2000;32(3):659-68.
Moreira PVS, Silva AM, Crozara LF, Veloso AP, Vieira F. Análise de equações preditivas da gordura corporal em jovens atletas de “taekwondo”. Rev Bras Educ Fís Esporte 2012; 3 (26):391-399
Lozano-Berges G, Matute-Llorente A, Gòmez-Bruton A, González-Agüero A, Vicente-Rodríguez G, Casajùs JA. Accurate Prediction Equation to Assess Body Fat in Male and Female Adolescent Football Player. Int J Sport Nutr Exerc Metab 2019; 29 (3):297-302.
Pires Neto CS, Glaner NF. “Equação de Faulkner” para predizer a gordura corporal: O fim de um mito. Rev Bras Cineantropom Desempenho Hum 2007; 9 (2):207-213.
Descargas
Publicado
Número
Sección
Licencia
Direitos Autorais para artigos publicados nesta revista são do autor, com direitos de primeira publicação para a revista. Em virtude da aparecerem nesta revista de acesso público, os artigos são de uso gratuito, com atribuições próprias, em aplicações educacionais e não-comerciais, desde que seja dada a atribuição. Esta obra foi licenciada com uma Licença Creative Commons Atribuição 4.0 Internacional - CC BY