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PMID: 15187381 Published · ppublish English Clinical Trial Journal Article

Percentage of total body fat as estimated by three automatic bioelectrical impedance analyzers.

Journal of physiological anthropology and applied human science ·Vol. 23 ·No. 3 ·2004-05-00 ·Pages 93-9

Demura S, Sato S, Kitabayashi T

Abstract

The present study aimed to compare the accuracy of estimating the percentage of total body fat (%TBF) among three bioelectrical impedance analysis (BIA) devices: a single-frequency BIA with four tactile electrodes (SF-BIA4), a single-frequency BIA with eight tactile electrodes (SF-BIA8) and a multi-frequency BIA with eight tactile electrodes (MF-BIA8). Dual-energy x-ray absorptiometry (DXA) and hydrostatic weighing (HW) were used as references for the measured values. Forty-five healthy college student volunteers (21 males: 172.9 +/- 5.5 cm and 65.8 +/- 9.1 kg and 24 females: 160.7 +/- 6.6 cm, 52.6 +/- 6.2 kg) were the subjects. Correlation coefficients between the BIA measurements and the references were calculated. The standard error of estimation (SEE) was calculated by regression analysis when estimating the reference measures (DXA and HW) from the predictor (SF-BIA4, SF-BIA8 and MF-BIA8). The differences in %TBF between the reference and the predictor, calculated by the reference minus the predictor, were plotted against the %TBF measured by the references. The MF-BIA 8 here showed the highest correspondence to the reference and the least estimation error compared with the other BIA methods. It is considered that there is a limit to directly estimate FFM from a regression equation using impedance, weight, height and age as independent variables, and that %TBF can be more accurately estimated by measuring segmental impedances using eight electrodes and multi-frequency electric currents and then estimating total body water from these impedances.

MeSH Terms
Adipose Tissue Adult Body Composition Electric Impedance Female Humans Male Reproducibility of Results Sensitivity and Specificity
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Demura Shinichi
Kanazawa University, Faculty of Education.
Sato Susumu
Kitabayashi Tamotsu
Article Info
Journal
Journal of physiological anthropology and applied human science
Abbr.
J Physiol Anthropol Appl Human Sci
ISSN
1345-3475
Published
2004-05-00
Pages
93-9
Language
English
Region
Japan
NLM ID
100930389
Subset
IM
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