Validation of a bioelectrical impedance analysis equation to predict appendicular skeletal muscle mass (ASMM).

Details

Serval ID
serval:BIB_2C4E4A18B9BB
Type
Article: article from journal or magazin.
Collection
Publications
Title
Validation of a bioelectrical impedance analysis equation to predict appendicular skeletal muscle mass (ASMM).
Journal
Clinical Nutrition
Author(s)
Kyle U.G., Genton L., Hans D., Pichard C.
ISSN
0261-5614
Publication state
Published
Issued date
2003
Peer-reviewed
Oui
Volume
22
Number
6
Pages
537-543
Language
english
Abstract
RATIONALE: Appendicular skeletal muscle mass (ASMM) is useful in the evaluation of nutritional status because it reflects the body muscle protein mass. The purpose of this study was to validate, against dual-energy X-ray absorptiometry (DEXA), a BIA equation to predict ASMM to be used in volunteers and patients. METHOD: Healthy men (n = 246 men, BMI 25.3+/-2.9 kg/m(2)) and women (n =198, 24.1+/-3.6 kg/m(2)), and heart, lung and liver transplant patients (213 men, BMI of 24.6+/-4.4 kg/m(2); 113 women, BMI 23.0+/-5.2 kg/m(2)) were measured by BIA (Xitron Technologies) and DEXA (Hologic QDR 4500). A BIA equation to predict ASMM (kg) that included height(2)/resistance, weight, gender, age and reactance, was developed by means of multiple regressions. [table: see text] Mean difference (Bland-Altman) for volunteers was 0.1+/-1.1 kg, r =0.95, SEE 1.12 kg and for patients -0.4+/-1.5 kg, r =0.91, SEE 1.5 kg.Best fitted multiple regression equation was -4.211 + (0.267 x height2 / resistance) + (0.095 x weight)+(1.909 x sex (men = 1, women = 0)) + (-0.012 x age) + (0.058 x reactance). CONCLUSIONS: BIA permits the prediction of ASMM in healthy volunteers and patients between 22 and 94 years of age. A slightly larger, though clinically not significant, error was noted in patients.
Keywords
Absorptiometry, Photon, Adult, Aged, Aged, 80 and over, Anthropometry, Body Composition, Electric Impedance, Female, Humans, Male, Middle Aged, Models, Biological, Muscle, Skeletal, Predictive Value of Tests, Reference Values, Regression Analysis, Reproducibility of Results
Pubmed
Web of science
Create date
02/03/2009 12:33
Last modification date
20/08/2019 13:11
Usage data