Cited by 371Body Composition Measurement TechniquesClinical Nutrition and GastroenterologyRegulation of Appetite and Obesity

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

Nelson, KM, Weinsier, RL, Long, CL, Schutz, Y·1992·The American Journal of Clinical Nutrition

DOI 10.1093/ajcn/56.5.848

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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.

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“…values for each individual with those estimated from the following predictive formulas: Nelson equation 25.8 x FFM (kg) + 4.04 x fat mass (kg) (Nelson et al., 1992), Mifflin-St Jeor equation: 9.99 x body mass (kg) + 6.25 x height (m) – 4.92 x age+ 166 x sex (men, 1; women, 0) – 161 (Mifflin…”
MethodInfluential
Branched Chain Amino Acid Supplementation to a Hypocaloric Diet Does Not Affect Resting Metabolic Rate but Increases Postprandial Fat Oxidation Response in Overweight and Obese Adults after Weight Loss Intervention
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“In particular, an increase in lean mass is correlated with a higher RMR [5,7].”
Background

Authors: Nelson, K., Weinsier, R., Long, C., & Schutz, Y.
Affiliations: University of Alabama at Birmingham (US)
Corresponding author: Nelson, KM
Venue: The American Journal of Clinical Nutrition
Publisher: Elsevier BV
Published: 1992-11
Volume: 56
Issue: 5
Pages: 848-856
ISSN: 0002-9165 (ISSN-L)
DOI: 10.1093/ajcn/56.5.848
OpenAlex: W1954962848
Cited by: 371
References: 44
Citations by year: 2026: 11 · 2025: 3 · 2024: 10 · 2023: 13 · 2022: 16 · 2021: 23 · 2020: 19 · 2019: 9 · 2018: 17 · 2017: 15 · 2016: 15 · 2015: 19 · 2014: 16 · 2013: 16 · 2012: 13
FWCI: 1.95
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
Locations: American Journal of Clinical Nutrition (publishedVersion)
PubMed (publishedVersion)
IRIS (submittedVersion)
SERVAL (Université de Lausanne) (submittedVersion)
Topics: Health Sciences › Medicine › Physiology (medical) › Body Composition Measurement Techniques
Health Sciences › Nursing › Nutrition and Dietetics › Clinical Nutrition and Gastroenterology
Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Regulation of Appetite and Obesity
Keywords: resting energy expenditure, fat-free mass, fat mass, body composition, energy expenditure estimation, regression models, skeletal muscle mass, organ mass, adults
MeSH terms: Adipose Tissue, Adult, Basal Metabolism, Body Composition, Energy Metabolism, Female, Humans, Male, Mathematics, Models, Biological, Obesity, Regression Analysis

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

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