Literature DB >> 7961281

Segmental bioelectrical impedance analysis: theory and application of a new technique.

L W Organ1, G B Bradham, D T Gore, S L Lozier.   

Abstract

Bioelectrical impedance analysis (BIA) for body composition has been based on the volume conductor model that results in the mathematical relationship Ht2/R approximately FFM, where Ht is body height, R is whole body resistance or impedance, and FFM is fat-free mass. Although this relationship exists in the human subject, its strength and usefulness have been subject to conflicting reports. This study reassessed the theory and methodology of BIA and describes a new technique for measuring segmental impedance that may resolve some major limitations associated with the current whole body impedance methodology. By use of data from 200 adult subjects, a new theory and methodology for BIA were developed in four steps: 1) a rationale was presented for replacing the Ht2/R model by one based on electrical resistivity, 2) a practical six-electrode technique for segmental BIA that uses only peripheral electrode sites was described, 3) prediction equations for fat weight based on the new segmental BIA technique were developed, and 4) prediction equations for fat distribution, a potential new use of impedance methodology, were developed using a new measure of fat distribution, the impedance index.

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Year:  1994        PMID: 7961281     DOI: 10.1152/jappl.1994.77.1.98

Source DB:  PubMed          Journal:  J Appl Physiol (1985)        ISSN: 0161-7567


  44 in total

1.  How do sock ply changes affect residual-limb fluid volume in people with transtibial amputation?

Authors:  Joan E Sanders; Daniel S Harrison; Katheryn J Allyn; Timothy R Myers; Marcia A Ciol; Elaine C Tsai
Journal:  J Rehabil Res Dev       Date:  2012

2.  Comparison of segmental body composition estimated by bioelectrical impedance analysis and dual-energy X-ray absorptiometry.

Authors:  Brooks C Wingo; Valene Garr Barry; Amy C Ellis; Barbara A Gower
Journal:  Clin Nutr ESPEN       Date:  2018-09-11

3.  Body composition is related to increase in plasma adiponectin levels rather than training in young obese men.

Authors:  Taketaka Hara; Hiroshi Fujiwara; Hayato Nakao; Tatsuya Mimura; Takahiro Yoshikawa; Shigeo Fujimoto
Journal:  Eur J Appl Physiol       Date:  2005-06-08       Impact factor: 3.078

4.  Prediction of limb lean tissue mass from bioimpedance spectroscopy in persons with chronic spinal cord injury.

Authors:  Christopher M Cirnigliaro; Michael F La Fountaine; Racine Emmons; Steven C Kirshblum; Pierre Asselin; Ann M Spungen; William A Bauman
Journal:  J Spinal Cord Med       Date:  2013-09       Impact factor: 1.985

5.  How does adding and removing liquid from socket bladders affect residual-limb fluid volume?

Authors:  Joan E Sanders; John C Cagle; Daniel S Harrison; Timothy R Myers; Kathryn J Allyn
Journal:  J Rehabil Res Dev       Date:  2013

6.  Effectiveness of thigh-to-thigh current path for the measurement of abdominal fat in bioelectrical impedance analysis.

Authors:  Ki Hwan Hong; Yong Gyu Lim; Kwang Suk Park
Journal:  Med Biol Eng Comput       Date:  2009-11-04       Impact factor: 2.602

7.  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

Review 8.  Body composition during growth in children: limitations and perspectives of bioelectrical impedance analysis.

Authors:  U G Kyle; C P Earthman; C Pichard; J A Coss-Bu
Journal:  Eur J Clin Nutr       Date:  2015-06-03       Impact factor: 4.016

9.  New Multisite Bioelectrical Impedance Device Compared to Hydrostatic Weighing and Skinfold Body Fat Methods.

Authors:  Andrew D Wells; Bryanne N Bellovary; Jonathan M Houck; Jeremy B Ducharme; Abdulaziz A Masoud; Ann L Gibson; Christine M Mermier
Journal:  Int J Exerc Sci       Date:  2020-12-01

10.  Assessment of body composition in dialysis patients by arm bioimpedance compared to MRI and 40K measurements.

Authors:  M Carter; F Zhu; P Kotanko; M Kuhlmann; L Ramirez; S B Heymsfield; G Handelman; N W Levin
Journal:  Blood Purif       Date:  2009-03-09       Impact factor: 2.614

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