Prediction of resting energy expenditure from fat-free mass and fat mass.

Détails

ID Serval
serval:BIB_B9239DDDBAC0
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Prediction of resting energy expenditure from fat-free mass and fat mass.
Périodique
American Journal of Clinical Nutrition
Auteur⸱e⸱s
Nelson K.M., Weinsier R.L., Long C.L., Schutz Y.
ISSN
0002-9165 (Print)
ISSN-L
0002-9165
Statut éditorial
Publié
Date de publication
1992
Volume
56
Numéro
5
Pages
848-856
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: ppublish
Résumé
On the basis of literature values, the relationship between fat-free mass (FFM), fat mass (FM), and resting energy expenditure [REE (kJ/24 h)] was determined for 213 adults (86 males, 127 females). The objectives were to develop a mathematical model to predict REE based on body composition and to evaluate the contribution of FFM and FM to REE. The following regression equations were derived: 1) REE = 1265 + (93.3 x FFM) (r2 = 0.727, P < 0.001); 2) REE = 1114 + (90.4 x FFM) + (13.2 x FM) (R2 = 0.743, P < 0.001); and 3) REE = (108 x FFM) + (16.9 x FM) (R2 = 0.986, P < 0.001). FM explained only a small part of the variation remaining after FFM was accounted for. The models that include both FFM and FM are useful in examination of the changes in REE that occur with a change in both the FFM and FM. To account for more of the variability in REE, FFM will have to be divided into organ mass and skeletal muscle mass in future analyses.
Mots-clé
Adipose Tissue, Adult, Basal Metabolism, Body Composition, Energy Metabolism, Female, Humans, Male, Mathematics, Models, Biological, Obesity/metabolism, Regression Analysis
Pubmed
Web of science
Création de la notice
21/01/2008 13:09
Dernière modification de la notice
20/08/2019 15:27
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