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

Details

Serval ID
serval:BIB_B9239DDDBAC0
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Prediction of resting energy expenditure from fat-free mass and fat mass.
Journal
American Journal of Clinical Nutrition
Author(s)
Nelson K.M., Weinsier R.L., Long C.L., Schutz Y.
ISSN
0002-9165 (Print)
ISSN-L
0002-9165
Publication state
Published
Issued date
1992
Volume
56
Number
5
Pages
848-856
Language
english
Notes
Publication types: Journal Article
Publication Status: ppublish
Abstract
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.
Keywords
Adipose Tissue, Adult, Basal Metabolism, Body Composition, Energy Metabolism, Female, Humans, Male, Mathematics, Models, Biological, Obesity/metabolism, Regression Analysis
Pubmed
Web of science
Create date
21/01/2008 14:09
Last modification date
20/08/2019 16:27
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