title: Prediction of resting energy expenditure from fat-free mass and fat mass.
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.
authors.affiliation: Department of Research, Baptist Medical Centers, Birmingham, AL 35211.
authors.forename: K M
authors.initials: KM
authors.lastname: Nelson
authors.forename: R L
authors.initials: RL
authors.lastname: Weinsier
authors.forename: C L
authors.initials: CL
authors.lastname: Long
authors.forename: Y
authors.initials: Y
authors.lastname: Schutz
mesh_terms: D000273:Adipose Tissue; D000328:Adult; D001481:Basal Metabolism; D001823:Body Composition; D004734:Energy Metabolism; D005260:Female; D006801:Humans; D008297:Male; D008433:Mathematics; D008954:Models, Biological; D009765:Obesity / Q000378:metabolism; D012044:Regression Analysis