Comparação entre diferentes métodos para estimativa de gordura corporal de ciclistas brasileiros de elite

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Abstract

O objetivo do estudo foi comparar diferentes métodos de estimativa de gordura corporal em ciclistas de elite. A amostra foi composta por 15 atletas de alto nível, do sexo masculino, com idade média de 28,6 anos. Gordura corporal foi estimada pela equação para espessura de dobras cutâneas (EDC), análise da bioimpedância elétrica (BIA) e absortometria de radiológica de dupla energia (DEXA) (utilizada como referência). O teste t pareado comparou as diferenças entre os métodos e o coeficiente de correlação intraclasse analisou o relacionamento entre os mesmos. Foi observado que os valores do percentual de gordura corporal estimado pela BIA (p= 0,029), mas não o estimado pela EDC (p= 0,094) diferiram das estimativas da DEXA. Dessa maneira, é possível concluir que EDC apresentou estimativas mais próximas daquelas fornecidas pelo DEXA.

Translated abstract

The present study aimed at comparing different methods to estimate the body fatness of elite athletes. The sample consisted of 15 male elite athletes with mean age of 28.6 years. The body fatness was estimated by the skinfold (EDC), bioelectric impedance analysis (BIA) and the dual-energy X-ray absorptiometry (DEXA) (reference). The paired t-tests compared the differences among methods, and the intraclass correlation coefficient analyzed the relationship among them. BIA (p= 0.029) overestimated the body fatness provided by DEXA, but EDC (p= 0.094) did not overestimate. Therefore, it is possible to conclude that EDC presented the body fatness similar to DEXA.

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Prediction of fat and fat-free mass in male athletes using dual X-ray absorptiometry as the reference method.

Thomas Hannan, Lesley Stewart (2000)

The ability of bioelectrical impedance analysis and anthropometry to predict fat mass and fat-free mass was compared in a sample of 82 male athletes from a wide variety of sports, using dual-energy X-ray absorptiometry (DXA) as the reference method. The percent fat measured by DXA was 10.9+/-4.9% (mean +/- s), and fat mass was predicted with a standard error of the estimate of 1.7 kg for skinfolds and 2.8 kg for bioelectrical impedance analysis (P < 0.001). Fat-free mass was predicted with a standard error of the estimate of 1.7 kg for anthropometry and 2.6 kg for bioelectrical impedance analysis (P < 0.001). Regression of various individual skinfolds and summed skinfolds, to examine the effect of skinfold selection combinations by stepwise regression, produced an optimal fat mass prediction using the thigh and abdominal skinfold sites, and an optimal fat-free mass prediction using the thigh, abdominal and supra-ilium sites. These results suggest that anthropometry offers a better way of assessing body composition in athletes than bioelectrical impedance analysis. Applying the derived equations to a separate sample of 24 athletes predicted fat and fat-free mass with a total error of 2.3 kg (2.9%) and 2.2 kg (2.7%), respectively. Combining the samples introduced more heterogeneity into the sample (n = 106), and the optimal prediction of fat mass used six skinfolds in producing a similar standard error of the estimate (1.7 kg), although this explained a further 4% of the variation in DXA-derived fat. Fat-free mass was predicted best from four skinfolds, although the standard error of the estimate and coefficient of determination were unchanged.