Literature DB >> 11161539

Assessment of body composition by bioelectrical impedance analysis without the need for measurement of height.

L C Ward1, B L Heitmann.   

Abstract

Conventional whole-body single frequency bioelectrical impedance analysis (BIA) of body composition typically uses height as a surrogate measure of conductor length. A new method of BIA analysis for the prediction of body cell mass (BCM) and extracellular water (ECW, as % body weight) not using height has been introduced-the Soft Tissue Analyser (STA(TM), Akern Sri, Florence, Italy)-making it ideal for use in subjects where measurement of height is difficult or impossible. The performance of the new analytical method in predicting BCM and ECW in 139 normal control subjects was assessed by comparison with reference data obtained from a four-component (4-C) model of body composition and with predictions obtained from conventional BIA analysis. Both predicted BCM and ECW were strongly (r=0.82, SEE=6.3 kg and 0.89, SEE=1.3 kg respectively) correlated with the corresponding 4-C model measurements although differing significantly from the lines of identity (P<0.0001). Fat-free mass, calculated from STA estimates of BCM and ECW, was better predicted (r=0.91, SEE=5.6 kg). The significant differences in STA-group mean values for BCM and ECW and wide limits of agreement compared with the reference data indicate that the method cannot be used with confidence for prediction of these body compartments despite the obvious advantage of not requiring an accurate measurement of height. Copyright 2001 Harcourt Publishers Ltd.

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Year:  2001        PMID: 11161539     DOI: 10.1054/clnu.2000.0362

Source DB:  PubMed          Journal:  Clin Nutr        ISSN: 0261-5614            Impact factor:   7.324


  3 in total

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Journal:  Obes Facts       Date:  2011-05-30       Impact factor: 3.942

2.  A 2-year multifactor approach of weight loss maintenance.

Authors:  V Makoundou; E Bobbioni-Harsch; J-P Gachoud; F Habicht; Z Pataky; A Golay
Journal:  Eat Weight Disord       Date:  2010 Mar-Jun       Impact factor: 4.652

Review 3.  The theory and fundamentals of bioimpedance analysis in clinical status monitoring and diagnosis of diseases.

Authors:  Sami F Khalil; Mas S Mohktar; Fatimah Ibrahim
Journal:  Sensors (Basel)       Date:  2014-06-19       Impact factor: 3.576

  3 in total

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