Literature DB >> 16215137

The validity of bioelectrical impedance models in clinical populations.

Andrea C Buchholz1, Cynthia Bartok, Dale A Schoeller.   

Abstract

Bioelectrical impedance analysis (BIA) is the most commonly used body composition technique in published studies. Herein we review the theory and assumptions underlying the various BIA and bioelectrical impedance spectroscopy (BIS) models, because these assumptions may be invalidated in clinical populations. Single-frequency serial BIA and discrete multifrequency BIA may be of limited validity in populations other than healthy, young, euvolemic adults. Both models inaccurately predict total body water (TBW) and extracellular water (ECW) in populations with changes in trunk geometry or fluid compartmentalization, especially at the level of the individual. Single-frequency parallel BIA may predict body composition with greater accuracy than the serial model. Hand-to-hand and leg-to-leg BIA models do not accurately predict percent fat mass. BIS may predict ECW, but not TBW, more accurately than single-frequency BIA. Segmental BIS appears to be sensitive to fluid accumulation in the trunk. In general, bioelectrical impedance technology may be acceptable for determining body composition of groups and for monitoring changes in body composition within individuals over time. Use of the technology to make single measurements in individual patients, however, is not recommended. This has implications in clinical settings, in which measurement of individual patients is important.

Entities:  

Year:  2004        PMID: 16215137     DOI: 10.1177/0115426504019005433

Source DB:  PubMed          Journal:  Nutr Clin Pract        ISSN: 0884-5336            Impact factor:   3.080


  44 in total

Review 1.  A practical guide to bioelectrical impedance analysis using the example of chronic obstructive pulmonary disease.

Authors:  Anja Walter-Kroker; Axel Kroker; Muriel Mattiucci-Guehlke; Thomas Glaab
Journal:  Nutr J       Date:  2011-04-21       Impact factor: 3.271

2.  Can we use the Jackson and Pollock equations to predict body density/fat of obese individuals in the 21st century?

Authors:  A M Nevill; G S Metsios; A S Jackson; J Wang; J Thornton; D Gallagher
Journal:  Int J Body Compos Res       Date:  2008-09-02

3.  Proposal of new body composition prediction equations from bioelectrical impedance for Indonesian men.

Authors:  J Hastuti; M Kagawa; N M Byrne; A P Hills
Journal:  Eur J Clin Nutr       Date:  2016-06-29       Impact factor: 4.016

4.  Identification of the human electrical impedance indifferent point: a surrogate for the volume indifferent point?

Authors:  Sara S Jarvis; James A Pawelczyk
Journal:  Eur J Appl Physiol       Date:  2009-08-12       Impact factor: 3.078

5.  Comparison of body fat-free masses calculated from hand-to-foot and foot-to-foot resistances with DXA measurements.

Authors:  Sana Bousbiat; Michel Y Jaffrin; Edwige Dongmo
Journal:  Med Biol Eng Comput       Date:  2011-09-14       Impact factor: 2.602

6.  Comparison of body composition assessment methods in pediatric intestinal failure.

Authors:  Nilesh M Mehta; Bram Raphael; Ivan M Guteirrez; Nicolle Quinn; Paul D Mitchell; Heather J Litman; Tom Jaksic; Christopher P Duggan
Journal:  J Pediatr Gastroenterol Nutr       Date:  2014-07       Impact factor: 2.839

7.  Phase angle, frailty and mortality in older adults.

Authors:  Emilee R Wilhelm-Leen; Yoshio N Hall; Ralph I Horwitz; Glenn M Chertow
Journal:  J Gen Intern Med       Date:  2014-01       Impact factor: 5.128

8.  Multifrequency bioelectrical impedance analysis and bioimpedance spectroscopy for monitoring fluid and body cell mass changes after gastric bypass surgery.

Authors:  Jennifer R Mager; Shalamar D Sibley; Tiffany R Beckman; Todd A Kellogg; Carrie P Earthman
Journal:  Clin Nutr       Date:  2008-08-03       Impact factor: 7.324

9.  Indices of Central and Peripheral Obesity; Anthropometric Measurements and Laboratory Parameters of Metabolic Syndrome and Thyroid Function.

Authors:  Şükrü Aras; Seyfettin Üstünsoy; Ferah Armutçu
Journal:  Balkan Med J       Date:  2015-10-01       Impact factor: 2.021

10.  Marine phospholipids--a promising new dietary approach to tumor-associated weight loss.

Authors:  Lenka A Taylor; Lars Pletschen; Jann Arends; Clemens Unger; Ulrich Massing
Journal:  Support Care Cancer       Date:  2009-04-29       Impact factor: 3.603

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