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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A new predictive equation for resting energy expenditure in healthy individuals
Mifflin, M., St Jeor, S., Hill, L., Scott, B., Daugherty, S., & Koh, Y. (1990) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/51.2.241 · Cited by 2,544
Determinants of 24-hour energy expenditure in man. Methods and results using a respiratory chamber.
Ravussin, E., Lillioja, S., Anderson, T. E., Christin, L., & Bogardus, C. (1986) · Journal of Clinical Investigation · doi:10.1172/jci112749 · Cited by 1,166
Modern Nutrition in Health and Disease.
(1981) · Annals of Internal Medicine · doi:10.7326/0003-4819-94-2-283_2 · Cited by 789
Cautionary Note about R 2
Kvålseth, T. O. (1985) · The American Statistician · doi:10.2307/2683704 · Cited by 761
Relationship of genetics, age, and physical fitness to daily energy expenditure and fuel utilization
Ravussin, É., & Bogardus, C. (1989) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/49.5.968 · Cited by 615
Body composition as a determinant of energy expenditure: a synthetic review and a proposed general prediction equation
Cunningham, J. (1991) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/54.6.963 · Cited by 607
Twenty-four-hour energy expenditure and resting metabolic rate in obese, moderately obese, and control subjects
Ravussin, É. (1982) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/35.3.566 · Cited by 482
Human Body Composition: Growth, Aging, Nutrition, and Activity
Forbes, G. B. (1987) · Medical Entomology and Zoology · Cited by 461
Energy Balance and Obesity in Man
Ailshul, M. D. (1975) · Nutrition Today · doi:10.1097/00017285-197509000-00009 · Cited by 460
A reappraisal of caloric requirements in healthy women
Owen, O. E., Kavle, E. C., Owen, R., Polansky, M., Caprio, S., Mozzoli, M., Kendrick, Z. V., Bushman, M. C., & Boden, G. (1986) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/44.1.1 · Cited by 442

Show all 44 references

Research works printed but not linked: 2

Kvalseth, 1985, Cautionary note about R2., Am Stat, 39, 279
Sjostrom, 1991, A computer-tomography based multicompartment body composition technique and anthropometric prediction of lean body mass, total and subcutaneous adipose tissue, Int J Obes, 15, 19

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Flack, K. D., Siders, W. A., Johnson, L., & Roemmich, J. N. (2016) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2016.03.018 · Cited by 86
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Sun, M., Gower, B. A., Bartolucci, A. A., Hunter, G. R., Figueroa‐Colón, R., & Goran, M. I. (2001) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/73.2.308 · Cited by 79
Resting Metabolic Rate and Substrate Use in Obesity Hypertension
Kunz, I., Schorr, U., Klaus, S., & Sharma, A. M. (2000) · Hypertension · doi:10.1161/01.hyp.36.1.26 · Cited by 82
Prediction of basal metabolism from organ size in the rat: relationship to strain, feeding, age, and obesity
Even, P. C., Rolland, V., Roseau, S. M., Bouthegourd, J.-C., & Tomé, D. (2001) · American Journal of Physiology-Regulatory, Integrative and Comparative Physiology · doi:10.1152/ajpregu.2001.280.6.r1887 · Cited by 77
“Major research groups thus consider that, for predicting basal metabolism accurately, fat mass and FFM must be taken into account, but also that FFM should be subdivided into its main components (21, 37, 43, 50, 59).”
Background
Smoking, oxidative stress and inflammation: Impact on resting energy expenditure in diabetic nephropathy
Agarwal, R. (2005) · BMC Nephrology · doi:10.1186/1471-2369-6-13 · Cited by 72
“Discussion The major finding of this study is that patients with diabetic nephropathy who smoke have an elevated REE after accounting for body weight – the strongest single predictor of REE [25-27].”
Background
Effect of orlistat treatment on body composition and resting energy expenditure during a two-year weight-reduction programme in obese Finns
Karhunen, L. J., Franssila-Kallunki, A., Rissanen, P., Valve, R., Kolehmainen, M., Rissanen, A., & Uusitupa, M. I. J. (2000) · International Journal of Obesity · doi:10.1038/sj.ijo.0801443 · Cited by 71
Marital discord, past depression, and metabolic responses to high-fat meals: Interpersonal pathways to obesity
Kiecolt‐Glaser, J. K., Jaremka, L. M., Andridge, R., Peng, J., Habash, D., Fagundes, C. P., Glaser, R., Malarkey, W. B., & Belury, M. A. (2014) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2014.11.018 · Cited by 75
“Larger post-meal triglyceride responses are reliably associated with enhanced cardiovascular risk, in part because they promote intima-media thickening (IMT) of carotid arteries, one surrogate atherosclerosis marker (Nordestgaard et al., 2007).”
Background
Influence of distribution of lean body mass on resting metabolic rate after weight loss and weight regain: comparison of responses in white and black women
Byrne, N. M., Weinsier, R. L., Hunter, G. R., Desmond, R., Patterson, M. A., Darnell, B. E., & Zuckerman, P. A. (2003) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/77.6.1368 · Cited by 69
Self-citation
Hypocaloric feeding: pros and cons
Berger, M., & Chioléro, R. (2007) · Current Opinion in Critical Care · doi:10.1097/mcc.0b013e3280895d47 · Cited by 67
Additional anthropometric measures may improve the predictability of basal metabolic rate in adult subjects
Johnstone, A. M., Rance, K. A., Murison, S. D., Duncan, J. S., & Speakman, J. R. (2006) · European Journal of Clinical Nutrition · doi:10.1038/sj.ejcn.1602477 · Cited by 69
“…major predictor of BMR is fat-free mass (FFM) (Fukagawa et al., 1990; Cunningham 1991; Weinsier et al., 1992), and this explains approximately 70% of the total variation, with some studies finding a secondary, independent contribution of fat mass (FM) (Nelson et al., 1992; Svendsen et al., 1993).”
BackgroundInfluential
Nutrition and Metabolism in Kidney Disease
Pupim, L. B., Cuppari, L., & Ikizler, T. A. (2006) · Seminars in Nephrology · doi:10.1016/j.semnephrol.2005.09.010 · Cited by 69
Physical activity and energy requirements
Hill, J., Melby, C. L., Johnson, S., & Peters, J. (1995) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/62.5.1059s · Cited by 66
One-Year Changes in Energy Expenditure and Serum Leptin Following Adjustable Gastric Banding in Obese Women
Coupaye, M., Bouillot, J., Coussieu, C., Guy-grand, B., Basdevant, A., & Oppert, J. (2005) · Obesity Surgery · doi:10.1381/0960892054222768 · Cited by 67
Elevated bound leptin correlates with energy expenditure in cirrhotics
Ockenga, J., Bischoff, S. C., Tillmann, H. L., Rifai, K., Widjaja, A., Böker, K. H. W., Manns, M. P., & Brabant, G. E. (2000) · Gastroenterology · doi:10.1053/gast.2000.20256 · Cited by 65
Brain responses to nutrients are severely impaired and not reversed by weight loss in humans with obesity: a randomized crossover study
van Galen, K. A., Schrantee, A., ter Horst, K. W., la Fleur, S. E., Booij, J., Constable, R. T., Schwartz, G. J., Dileone, R., & Serlie, M. J. M. (2023) · Nature Metabolism · doi:10.1038/s42255-023-00816-9 · Cited by 67
Alterations in Skeletal Muscle Fatty Acid Handling Predisposes Middle-Aged Mice to Diet-Induced Insulin Resistance
Koonen, D. P. Y., Sung, M. M. Y., Kao, C. K., Dolinsky, V. W., Koves, T. R., Ilkayeva, O., Jacobs, R. L., Vance, D. E., Light, P. E., Muoio, D. M., et al. (2010) · Diabetes · doi:10.2337/db09-1142 · Cited by 72
“In addition, it is possible that other organs such as adipose tissue, liver and brain (43,44) are also involved in maintaining a high level of energy expenditure in the middle-aged CD36 KO mice.”
Background
Climate variables as predictors of basal metabolic rate: New equations
Froehle, A. W. (2008) · American Journal of Human Biology · doi:10.1002/ajhb.20769 · Cited by 70
“Body mass and body composition have been shown together to exert the largest influence on BMR, both on an interspecific scale and within humans (Cunningham, 1980, 1991; Kleiber, 1961; Nelson et al., 1992; Ravussin et al., 1986; Webb, 1981; Weinsier et al., 1992).”
Background
Prediction of resting energy expenditure in severely obese Italian males
Lazzer, S., Agosti, F., Resnik, M., Marazzi, N., Mornati, D., & Sartório, A. (2007) · Journal of Endocrinological Investigation · doi:10.1007/bf03350813 · Cited by 62
Effects of fat mass and body fat distribution on resting metabolic rate in the elderly
Lührmann, P. M., Herbert, B. M., & user-Berthold, M. N. A. (2001) · Metabolism · doi:10.1053/meta.2001.24871 · Cited by 62
Issues in characterizing resting energy expenditure in obesity and after weight loss
Bosy‐Westphal, A., Braun, W., Schautz, B., & Müller, M. J. (2013) · Frontiers in Physiology · doi:10.3389/fphys.2013.00047 · Cited by 61
“Besides FFM, FM explains a small additional proportion in REE variance, especially in populations with a wide range of adiposity (Nelson et al., 1992).”
Background
Phenotype tailored lifestyle intervention on weight loss and cardiometabolic risk factors in adults with obesity: a single-centre, non-randomised, proof-of-concept study
Cifuentes, L., Ghusn, W., Feris, F., Campos, A., Sacoto, D., la Rosa, A. D., MCRAE, A. N., Rieck, T., Mansfield, S., Ewoldt, J., et al. (2023) · EClinicalMedicine · doi:10.1016/j.eclinm.2023.101923 · Cited by 60
Predicting Changes of Body Weight, Body Fat, Energy Expenditure and Metabolic Fuel Selection in C57BL/6 Mice
Guo, J., & Hall, K. D. (2011) · PLoS ONE · doi:10.1371/journal.pone.0015961 · Cited by 59
“6 kcal/kg/d [13] results in mouse values of cFFM = 0.”
Background
Energy requirements from infancy to adulthood
Butte, N., Moon, J., Wong, W. W., Hopkinson, J. M., & Smith, E. (1995) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/62.5.1047s · Cited by 61
The effects of a novel personal comfort system on thermal comfort, physiology and perceived indoor environmental quality, and its health implications ‐ Stimulating human thermoregulation without compromising thermal comfort
Luo, W., Kramer, R. P., de Kort, Y. A. W., Rense, P., & Lichtenbelt, W. D. V. M. (2021) · Indoor Air · doi:10.1111/ina.12951 · Cited by 64
Resting energy expenditure and adiposity accretion among children with Down syndrome: a 3-year prospective study
Hill, D. L., Parks, E. P., Zemel, B. S., Justine Shults, A., Stallings, V. A., & Stettler, N. (2013) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2013.137 · Cited by 65
A randomized trial testing the efficacy of a novel approach to weight loss among men with overweight and obesity
Crane, M. M., Lutes, L. D., Ward, D. S., Bowling, J. M., & Tate, D. F. (2015) · Obesity · doi:10.1002/oby.21265 · Cited by 61
“After the self-evaluation, participants were provided personalized estimates for calorie needs to lose approximately one and two pounds per week (1,200 to 3,308 calories) [33].”
Method
Body Size and Blood Pressure
Cappuccio, F. P., Kerry, S., Adeyemo, A., Luke, A. H., Amoah, A. G. B., Bovet, P., Connor, M., Forrester, T., Gervasoni, J., Kaki, G. K., et al. (2008) · Epidemiology · doi:10.1097/ede.0b013e31815c4d2c · Cited by 58
“Body composition changes linearly over the range of BMI, with higher percent body fat observed at the upper end of the distribution.(37) Thus, increases in relative weight among the obese will reflect larger gains in adipose tissue relative to lean mass, compared with the lower end of the BMI distribution.”
Mild Calorie Restriction Induces Fat Accumulation in Female C57BL/6J Mice
Li, X., Cope, M. B., Johnson, M. S., Smith, D. L., & Nagy, T. R. (2009) · Obesity · doi:10.1038/oby.2009.312 · Cited by 57
“A common feature of moderate and severe CR in rats and mice is a decrease in energy expenditure due to the loss of metabolically active tissues, like skeletal muscles and organ tissues (33).”
Background
Estimating changes in free-living energy intake and its confidence interval
Hall, K. D., & Chow, C. C. (2011) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.111.014399 · Cited by 56
Association Between Blood Pressure and Resting Energy Expenditure Independent of Body Size
Luke, A., Adeyemo, A., Kramer, H., Forrester, T., & Cooper, R. (2004) · Hypertension · doi:10.1161/01.hyp.0000118020.44335.20 · Cited by 53
Ability of the Harris-Benedict formula to predict energy requirements differs with weight history and ethnicity
Douglas, C. C., Lawrence, J. C., Bush, N. C., Oster, R. A., Gower, B. A., & Darnell, B. E. (2007) · Nutrition Research · doi:10.1016/j.nutres.2007.01.016 · Cited by 52
“Fatfree mass is the largest determinant of REE, explaining approximately 62% to 73% of the variability of REE [17,18].”
Background
Sleep Quality Changes during Overwintering at the German Antarctic Stations Neumayer II and III: The Gender Factor
Steinach, M., Kohlberg, E., Maggioni, M. A., Mendt, S., Opatz, O. S., Stahn, A. C., & Gunga, H. (2016) · PLoS ONE · doi:10.1371/journal.pone.0150099 · Cited by 52
“As the women showed significantly higher percentages of fat mass from body weight than men, it is plausible that their average physical activity level was lower compared to men [53], as fat mass is relatively hypometabolic compared to fat free mass [54].”
Background
Prediction of resting energy expenditure in severely obese Italian women
Lazzer, S., Agosti, F., Silvestri, P., Derumeaux-Burel, H., & Sartório, A. (2007) · Journal of Endocrinological Investigation · doi:10.1007/bf03347391 · Cited by 53
Grade of adiposity affects the impact of fat mass on resting energy expenditure in women
Bosy‐Westphal, A., Müller, M. J., Boschmann, M., Klaus, S., Kreymann, G., Lührmann, P. M., Neuhäuser‐Berthold, M., Noack, R., Pirke, K. M., Platte, P., et al. (2008) · British Journal Of Nutrition · doi:10.1017/s0007114508020357 · Cited by 51
“the ratio between the regression coefficients of FFM and FM on REE ranged between 1·5:1((1)) and 7:1((4)), suggesting that each kg of lean tissue exerts a 1·5–7 times greater effect on REE than did each kg of fat tissue.”
BackgroundResult
Predicting Energy Expenditure in Extremely Obese Women
Dobratz, J. R., Sibley, S. D., Beckman, T. R., Valentine, B. J., Kellogg, T. A., Ikramuddin, S., & Earthman, C. P. (2007) · Journal of Parenteral and Enteral Nutrition · doi:10.1177/0148607107031003217 · Cited by 51
Comparison of Resting Energy Expenditure Between Cancer Subjects and Healthy Controls: A Meta-Analysis
Nguyen, T. Y. V., Batterham, M. J., & Edwards, C. (2016) · Nutrition and Cancer · doi:10.1080/01635581.2016.1153667 · Cited by 50
“Fat-free mass (FFM) is considered to be the largest contributor of REE, suggesting to provide 53– 88% of REE variation (9,10).”
Background
Human energy expenditure: advances in organ‐tissue prediction models
Heymsfield, S. B., Peterson, C. M., Bourgeois, B. L., Thomas, D. M., Gallagher, D., Strauss, B. J., Müller, M. J., & Bosy‐Westphal, A. (2018) · Obesity Reviews · doi:10.1111/obr.12718 · Cited by 49
Percent body fat estimations in college men using field and laboratory methods: A three-compartment model approach
Moon, J. R., Tobkin, S. E., Smith‐Ryan, A. E., Roberts, M. D., Ryan, E. D., Dalbo, V. J., Lockwood, C. M., Walter, A. A., Cramer, J. T., Beck, T. W., et al. (2008) · Dynamic Medicine · doi:10.1186/1476-5918-7-7 · Cited by 48
The obesity treatment dilemma: Why dieting is both the answer and the problem? A mechanistic overview
Monnier, L., Schlienger, J.-L., Colette, C., & Bonnet, F. (2021) · Diabetes & Metabolism · doi:10.1016/j.diabet.2020.09.002 · Cited by 47

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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