Title

Resistivity coefficients for body composition analysis using bioimpedance spectroscopy: Effects of body dominance and mixture theory algorithm

Date of this Version

6-2-2015

Document Type

Journal Article

Publication Details

Citation only

Ward, L. C., Isenring, E., Dyer, J. M., Kagawa, M., & Essex, T. (2015). Resistivity coefficients for body composition analysis using bioimpedance spectroscopy: Effects of body dominance and mixture theory algorithm. Physiological Measurement, 36(7), 1529-1549.

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2015 HERDC submission

© Copyright, Institute of Physics and Engineering in Medicine, 2015

ISSN

0967-3334

Abstract

Body composition is commonly predicted from bioelectrical impedance spectroscopy using mixture theory algorithms. Mixture theory algorithms require the input of values for the resistivities of intra-and extracellular water of body tissues. Various derivations of these algorithms have been published, individually requiring resistivity values specific for each algorithm. This study determined apparent resistivity values in 85 healthy males and 66 healthy females for each of the four published mixture theory algorithms. The resistivity coefficients determined here are compared to published values and the inter-individual (biological) variation discussed with particular reference to consequential error in prediction of body fluid volumes. In addition, the relationships between the four algorithmic approaches are derived and methods for the inter-conversion of coefficients between algorithms presented. © 2015 Institute of Physics and Engineering in Medicine.

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This document has been peer reviewed.