Prediction of fat-free mass using bioelectrical impedance analysis in young adults from five populations of African origin.

Détails

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Etat: Public
Version: Author's accepted manuscript
Licence: Non spécifiée
ID Serval
serval:BIB_4E110A02270D
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Prediction of fat-free mass using bioelectrical impedance analysis in young adults from five populations of African origin.
Périodique
European Journal of Clinical Nutrition
Auteur⸱e⸱s
Luke A., Bovet P., Forrester T.E., Lambert E.V., Plange-Rhule J., Dugas L.R., Durazo-Arvizu R.A., Kroff J., Richie W.N., Schoeller D.A.
ISSN
1476-5640 (Electronic)
ISSN-L
0954-3007
Statut éditorial
Publié
Date de publication
2013
Volume
67
Numéro
9
Pages
956-960
Langue
anglais
Notes
Publication types: Journal Article Publication Status: ppublish
Résumé
Background/objectives:Bioelectrical impedance analysis (BIA) is used in population and clinical studies as a technique for estimating body composition. Because of significant under-representation in existing literature, we sought to develop and validate predictive equation(s) for BIA for studies in populations of African origin.Subjects/methods:Among five cohorts of the Modeling the Epidemiologic Transition Study, height, weight, waist circumference and body composition, using isotope dilution, were measured in 362 adults, ages 25-45 with mean body mass indexes ranging from 24 to 32. BIA measures of resistance and reactance were measured using tetrapolar placement of electrodes and the same model of analyzer across sites (BIA 101Q, RJL Systems). Multiple linear regression analysis was used to develop equations for predicting fat-free mass (FFM), as measured by isotope dilution; covariates included sex, age, waist, reactance and height(2)/resistance, along with dummy variables for each site. Developed equations were then tested in a validation sample; FFM predicted by previously published equations were tested in the total sample.Results:A site-combined equation and site-specific equations were developed. The mean differences between FFM (reference) and FFM predicted by the study-derived equations were between 0.4 and 0.6âeuro0/00kg (that is, 1% difference between the actual and predicted FFM), and the measured and predicted values were highly correlated. The site-combined equation performed slightly better than the site-specific equations and the previously published equations.Conclusions:Relatively small differences exist between BIA equations to estimate FFM, whether study-derived or published equations, although the site-combined equation performed slightly better than others. The study-derived equations provide an important tool for research in these understudied populations.
Pubmed
Web of science
Open Access
Oui
Création de la notice
03/10/2013 17:07
Dernière modification de la notice
20/08/2019 14:03
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