Please use this identifier to cite or link to this item: https://observatorio.fm.usp.br/handle/OPI/28302
Title: Agreement Between Standard Body Composition Methods to Estimate Percentage of Body Fat in Young Male Athletes
Authors: FERRI-MORALES, AsuncionNASCIMENTO-FERREIRA, Marcus ViniciusVLACHOPOULOS, DimitrisUBAGO-GUISADO, EstherTORRES-COSTOSO, AnaMORAES, Augusto Cesar F. DeBARKER, Alan R.MORENO, Luis A.MARTINEZ-VIZCAINO, VicenteGRACIA-MARCO, Luis
Citation: PEDIATRIC EXERCISE SCIENCE, v.30, n.3, p.402-410, 2018
Abstract: Purpose: To examine the intermethods agreement of dual-energy X-ray absorptiometry (DXA) and foot-to-foot bioelectrical impedance analysis (BIA) to assess the percentage of body fat (%BF) in young male athletes using air-displacement plethysmography (ADP) as the reference method. Methods: Standard measurement protocols were carried out in 104 athletes (40 swimmers, 37 footballers, and 27 cyclists, aged 12-14 y). Results: Age-adjusted %BF ADP and %BF BIA were significantly higher in swimmers than footballers. ADP correlates better with DXA than with BIA (r = .84 vs r = .60, P < .001). %BF was lower when measured by DXA and BIA than ADP (P < .001), and the bias was higher when comparing ADP versus BIA than ADP versus DXA. The intraclass correlation coefficients between DXA and ADP showed a good to excellent agreement (r = .67-.79), though it was poor when BIA was compared with ADP (r = .26-.49). The ranges of agreement were wider when comparing BIA with ADP than DXA with ADP. Conclusion: DXA and BIA seem to underestimate %BF in young male athletes compared with ADP. Furthermore, the bias significantly increases with %BF in the BIA measurements. At the individual level, BIA and DXA do not seem to predict % BF precisely compared with ADP in young athletic populations.
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Artigos e Materiais de Revistas Científicas - FM/Outros
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Artigos e Materiais de Revistas Científicas - LIM/38
LIM/38 - Laboratório de Epidemiologia e Imunobiologia

Artigos e Materiais de Revistas Científicas - LIM/39
LIM/39 - Laboratório de Processamento de Dados Biomédicos


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