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Excerpt
This study assessed the predictive accuracy of a new hand-held, segmental, bioimpedance (BI) analyzer (Omron® Body Logic Body Fat Analyzer, Model HBF-300, Omron Healthcare, Inc., Vernon Hills, II) in estimating the relative body fat (%BF) of a sample of 25 men and 23 women (18 - 55 yr, 7.0 to 42.8 %BFHW). Average body mass and height were 93.3 ± 19.0 kg and 180.1 ± 7.8 for men, and 66.8 ± 8.0 kg and 170.7 ± 5.5 cm for women. The reference method was hydrostatic weighing (HW) at residual lung volume. Body density was converted to relative %BF using the Brozek et al. (1963) two-component model equation. The %BF estimates obtained from manufacturer's gender-specific equations programmed in the analyzer were cross-validated using regression analysis. There were high validity coefficients (ry,y′ = .91 and .83, for men and women, respectively), moderate prediction errors (SEE = 3.46%, E = 3.64 %BF for men; SEE = 4.04%, E = 3.87 %BF for women), and no significant difference (p>.05) between the average %BFHW and %BFOmron for women (21.8% vs. 21.6% BF, respectively). For men, there was a small, but significant (p<.05), difference in %BFHW (18.7%) and %BFOmron (20.1%). For both men and women, the line of identity did not differ significantly (p>.05) from the line of best fit. Additionally, the Omron® BI analyzer accurately estimated the %BF of approximately 72% of the men and 70% of the women in this sample within ±3.5% BF. Therefore, we recommend using the Omron® BI analyzer (Model HBF-300) with the manufacturer's equations for estimating the %BF of adults having demographic characteristics that are similar to those of this sample.
