Literature DB >> 8451277

Improved prediction of extracellular and total body water using impedance loci generated by multiple frequency bioelectrical impedance analysis.

B H Cornish1, B J Thomas, L C Ward.   

Abstract

Bioelectrical impedance analysis (BIA) using a frequency of 50 kHz is an established method of predicting total body water (TBW). However, very little research has been performed to determine whether 50 kHz is the optimum frequency for the prediction of TBW from impedance measurements. This paper analyses a mathematical expression describing the equivalent electrical circuit for biological tissue, and derives a graphical representation of the resistive and reactive components. The nature of the resulting impedance locus was used in the analysis of measured whole-body impedance of 42 rats over a range of frequencies to determine the impedance at the characteristic frequency, Zc, and also the impedance at zero frequency, R0. The standard error associated with the prediction of TBW (determined by isotope dilution) using Zc was 5.9% compared with a standard error of prediction of 10.1% using the established BIA method at 50 kHz on the same data. Predictions of extracellular water (ECW) using the impedance at zero frequency, R0, yielded a standard error of 3.2% compared with standard errors of 4.8% and 4.2% using single frequency BIA measurements at 5 kHz and 1 kHz, respectively. These results demonstrate a significant (P < 0.01) improvement in the prediction of TBW and ECW using multiple frequency bioelectrical impedance analysis (MFBIA).

Entities:  

Mesh:

Year:  1993        PMID: 8451277     DOI: 10.1088/0031-9155/38/3/001

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  25 in total

1.  Impedance of goat eye lens at different DC voltages.

Authors:  K S Kohli; D V Rai; V K Jindal; N Goyal
Journal:  Med Biol Eng Comput       Date:  1998-09       Impact factor: 2.602

2.  Smart Multi-Frequency Bioelectrical Impedance Spectrometer for BIA and BIVA Applications.

Authors:  Rene Harder; Andre Diedrich; Jonathan S Whitfield; Macie S Buchowski; John B Pietsch; Franz J Baudenbacher
Journal:  IEEE Trans Biomed Circuits Syst       Date:  2016-02-03       Impact factor: 3.833

3.  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

4.  Bioelectrical impedance analysis predicts outcome in patients with suspected bacteremia.

Authors:  A Schwenk; L C Ward; M Elia; G M Scott
Journal:  Infection       Date:  1998 Sep-Oct       Impact factor: 3.553

5.  Impedance of a goat eye lens.

Authors:  K S Kohli; D V Rai; P Kumar; V K Jindal; N Goyal
Journal:  Med Biol Eng Comput       Date:  1997-07       Impact factor: 2.602

6.  Bioelectrical impedance for monitoring the efficacy of lymphoedema treatment programmes.

Authors:  B H Cornish; I H Bunce; L C Ward; L C Jones; B J Thomas
Journal:  Breast Cancer Res Treat       Date:  1996       Impact factor: 4.872

7.  Bioelectrical impedance self-measurement protocol development and daily variation between healthy volunteers and breast cancer survivors with lymphedema.

Authors:  Sheila H Ridner; Candace M Bonner; Jennifer K Doersam; Bethany A Rhoten; Benjamin Schultze; Mary S Dietrich
Journal:  Lymphat Res Biol       Date:  2014-02-06       Impact factor: 2.589

8.  Implementation of Single-Tab Electrodes for Bioimpedance Spectroscopy Measures.

Authors:  Paula M C Donahue; Rachelle Crescenzi; Liping Du; Manus J Donahue
Journal:  Lymphat Res Biol       Date:  2019-09-19       Impact factor: 2.589

9.  [Determination of intestinal strontium absorption--assessment and validation of routinely manageable test procedures].

Authors:  A Zittermann; C Bierschbach; G Giers; D Hötzel; P Stehle
Journal:  Z Ernahrungswiss       Date:  1995-12

10.  The diagnostic value of phase angle, an integrative bioelectrical marker, for identifying individuals with dysmobility syndrome: the Korean Urban-Rural Elderly study.

Authors:  Y W Jung; N Hong; C O Kim; H C Kim; Y Youm; J -Y Choi; Y Rhee
Journal:  Osteoporos Int       Date:  2020-10-30       Impact factor: 4.507

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.