Document Detail


Validation of bio-impedance spectroscopy: effects of degree of obesity and ways of calculating volumes from measured resistance values.
MedLine Citation:
PMID:  10757619     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
BACKGROUND: Bioelectrical-impedance spectroscopy (BIS) is a very attractive method for body composition measurements in a clinical setting. However, validation studies often yield different results. This can partly be explained by the different approaches used to transform measured resistance values into body compartments.
OBJECTIVE: The aim of this study was to compare the linear regression (LR) method with the Hanai Mixture theory (HM). Secondly, the effect of degree of overweight on the accuracy of BIS was analysed.
DESIGN: In 90 people (10 M, 80 F; body mass index (BMI) 23-62 kg/m2) total body water (TBW) and extracellular water (ECW) were measured by deuterium and NaBr dilution methods, respectively, and by BIS. Resistance values of ECW (R(ECW)) and TBW (R(TBW)) were used for volume calculations. Data of half the group were used for LR based on L2/R (L = length, R = resistance) to predict TBW and ECW and to calculate the constants used in the HM (kECW), k(p)). Prediction equations and constants were cross-validated in Group 2.
RESULTS: Bland and Altman analysis showed that the LR method underestimated TBW by 1.1 l (P < 0.005) and ECW by 1.1 l (P < 0.005). The HM approach underestimated ECW by 0.8 l (P < 0.005). The correlations with the dilution methods and the SEEs for TBW and ECW were comparable for the two approaches. The prediction error of BIS for TBW and ECW correlated with BMI. The constant kECW, and the specific resistivities of the ECW and intracellular water (ICW) pECW and pICW were also correlated with BMI.
CONCLUSIONS: The mixture approach is slightly more accurate than linear regression, but not sensitive enough for clinical use. The constants used in the HM model are not constants in a population with a wide variation in degree of overweight. The physical causes of the correlation between BMI and constants used in the model should be studied further in order to optimize the mixture model.
Authors:
P L Cox-Reijven; P B Soeters
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  International journal of obesity and related metabolic disorders : journal of the International Association for the Study of Obesity     Volume:  24     ISSN:  -     ISO Abbreviation:  Int. J. Obes. Relat. Metab. Disord.     Publication Date:  2000 Mar 
Date Detail:
Created Date:  2000-04-27     Completed Date:  2000-04-27     Revised Date:  2014-06-03    
Medline Journal Info:
Nlm Unique ID:  9313169     Medline TA:  Int J Obes Relat Metab Disord     Country:  ENGLAND    
Other Details:
Languages:  eng     Pagination:  271-80     Citation Subset:  IM    
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MeSH Terms
Descriptor/Qualifier:
Adult
Body Composition*
Body Mass Index
Body Water
Bromides
Deuterium / diagnostic use
Electric Impedance*
Extracellular Space
Female
Humans
Indicator Dilution Techniques
Male
Obesity / physiopathology*
Regression Analysis
Sodium Compounds
Chemical
Reg. No./Substance:
0/Bromides; 0/Sodium Compounds; AR09D82C7G/Deuterium; LC1V549NOM/sodium bromide

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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