Abstract
Single frequency bioelectrical impedance analysis is an inexpensive, quickand painless means of estimating body composition. However, current approachesto estimating body composition from segment resistivity have some drawbacks.The purpose of this study was to overcome these limitations by developing abetter model of the relationship between resistivity and body composition. Athree-compartment model of body mass and body segment resistivity is presentedand calibrated to predict %Fat estimated by underwater weighing. The subjectpopulation from which the data were obtained was heterogeneous. Both sexeswere represented, as were a range of ages (21-44 years), ethnic backgrounds,body masses (47.0-129.0 kg) and body compositions (%Fat = 8.7-50.7%).Based on resistivity measurements from the upper arm and upper leg, andmeasurements of subject height and weight, the model predicted %Fat witherrors comparable to those reported for other methods based on segmentalresistivity. All the terms in the calibrated model represented a physicalcomponent of the body and show reasonable agreement with resistivity measuredin tissue samples. In short, predicting %Fat from resistivity of the proximalarm and leg segments compares favourably with other methods based on segmentresistivity.
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