This study evaluated the predictive accuracy of the Omron and Tanita bioelectrical impedance analyzers (BIA) in estimating the relative body fatness (%BF) for a racially-diverse sample of physically active women (N = 99).
Inclusion criteria for this study were based on age (18 to 59 y); race (Black, Hispanic, or white); predominant training style (n = 49 aerobic, n = 50 anaerobic); regular physical activity or exercise; and absence of pregnancy, surgically-placed hardware, and metabolic disorders affecting muscle or bone. Subjects followed standard pretest guidelines for body composition assessments and gave written informed consent. Two estimates of %BF were directly obtained from the Omron BodyLogic (Model HBF-300), as well as from the Tanita (Model 02701001) analyzer. Reference measures were obtained using hydrodensitometry at measured residual volume and Siri's two-component model formula. Significance was set at α = .05.
Compared to %BFSiri, the predictive accuracy of the Omron (r = .87, SEE = 3.7%BF) was better than that of the Tanita (r = .76, SEE = 4.9%BF). There was no significant difference between the average %BFSiri (24.8 ± 7.6%BF) and average %BF Omron (25.3 ± 6.8%BF); however, the average %BFTanita (30.7 ± 7.7%BF) differed significantly (p < .05). The Omron accurately estimated the %BF within ± 3.5%BF for 94% of the sample, compared to only 18% for the Tanita.
Compared to the Tanita, the Omron yielded relatively more accurate estimates of %BF for the physically active women in this study. Partial funding support by Omron Institute of the Life Sciences Co, Ltd.