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Factors influencing variation in basal metabolic rate include fat-free mass, fat mass, age, and circulating thyroxine but not sex, circulating leptin, or triiodothyronine
Open accessAbstract
Background Basal metabolic rate (BMR) is the largest component of daily energy demand in Western societies. Previous studies indicated that BMR is highly variable, but the cause of this variation is disputed. All studies agree that variation in fat-free mass (FFM) plays a major role, but effects of fat mass (FM), age, sex, and the hormones leptin, triiodothyrionine (T3), and thyroxine (T4) remain uncertain.Objective We partitioned the variance in BMR into within- and between-subject effects and explored the roles of FFM, FM, bone mineral content, sex, age, and circulating concentrations of plasma leptin, T3, and T4.Design This was a cross-sectional study of 150 white adults from northeast Scotland, United Kingdom.Results Only 2% of the observed variability in BMR was attributable to within-subject effects, of which 0.5% was analytic error. Of the remaining variance, which reflected between-subject effects, 63% was explained by FFM, 6% by FM, and 2% by age. The effects of sex and bone mineral content were not significant (P > 0.05). Twenty-six percent of the variance remained unexplained. This variation was not associated with concentrations of circulating leptin or T3. T4 was not significant in women but explained 25% of the residual variance in men.Conclusions Our data confirm that both FFM and FM are significant contributors to BMR. When the effect of FM on BMR is removed, any association with leptin concentrations disappears, which suggests that previous links between circulating leptin concentrations and BMR occurred only because of inadequate control for the effects of FM.
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“In population studies on subjects differing in body weight, normal or elevated plasma leptin levels did not correlate with energy expenditure [71, 72].”
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“A recent study demonstrated that elevated plasma concentrations of T4 were associated with increased BMR.”
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“Additional factors that have emerged in the literature as influential in modulating BMR include exercise, height, general weight, age, and circulating thyroid hormones (23).”
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Citations
Cites
Positional cloning of the mouse obese gene and its human homologue
Zhang, Y., Proenca, R., Maffei, M., Barone, M., Leopold, L., & Friedman, J. M. (1994) · Nature · doi:10.1038/372425a0 · Cited by 13,419
Serum Immunoreactive-Leptin Concentrations in Normal-Weight and Obese Humans
Considine, R. V., Sinha, M. K., Heiman, M. L., Kriauciunas, A., Stephens, T. W., Nyce, M. R., Ohannesian, J. P., Marco, C. C., McKee, L. J., Bauer, T. L., et al. (1996) · New England Journal of Medicine · doi:10.1056/nejm199602013340503 · Cited by 6,326
Maffei, M., Halaas, J., Ravussin, E., Pratley, R. E., Lee, G. H., Zhang, Y., Fei, H., Kim, S., Lallone, R., Ranganathan, S., et al. (1995) · Nature Medicine · doi:10.1038/nm1195-1155 · Cited by 3,725
Predicting basal metabolic rate, new standards and review of previous work.
Wn, S. (1985) · PubMed · Cited by 2,955
Congenital leptin deficiency is associated with severe early-onset obesity in humans
Montague, C. T., Farooqi, I. S., Whitehead, J. P., Soos, M. A., Rau, H., Wareham, N. J., Sewter, C. P., Digby, J. E., Mohammed, S. N., Hurst, J. A., et al. (1997) · Nature · doi:10.1038/43185 · Cited by 2,936
Energy and protein requirements*
Pacey, A., & Payne, P. (2019) · Routledge eBooks · doi:10.4324/9780429036279-4 · Cited by 2,545
Reduced Rate of Energy Expenditure as a Risk Factor for Body-Weight Gain
Ravussin, E., Lillioja, S., Knowler, W. C., Christin, L., Freymond, D., Abbott, W. G. H., Boyce, V., Howard, B. V., & Bogardus, C. (1988) · New England Journal of Medicine · doi:10.1056/nejm198802253180802 · Cited by 1,215
Body size and tissue respiration
Krebs, H. A. (1950) · Biochimica et Biophysica Acta · doi:10.1016/0006-3002(50)90032-1 · Cited by 810
On body size and tissue respiration
Davies, M. (1961) · Journal of Cellular and Comparative Physiology · doi:10.1002/jcp.1030570302 · Cited by 764
(1996) · PubMed · Cited by 705
Flagged first, then by citations
2 of the 65 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- Scrimshaw, 1996, Proceedings of an IDECG Workshop 31 October to 4 November 1994, Eur J Clin Nutr, 50, S1
Cited by
Sorted by citations
Items 401–500 of 513
Choi, C.-K., Cho, H., & Lee, M.-G. (2018) · Korean Journal of Sport Science · doi:10.24985/kjss.2018.29.3.416 · Cited by 1
Predicting Resting Metabolic Rate with Easily Obtained Measures: The Influence of Body Circumference
Chase, K., Patek, K., Walker, J. L., & Mettler, J. A. (2021) · Translational Journal of the American College of Sports Medicine · doi:10.1249/tjx.0000000000000162 · Cited by 1
Dioso, R. I. (2021) · ASM Science Journal · doi:10.32802/asmscj.2021.797 · Cited by 1
直樹, 橋., 芳明, 田., 優, 深., 信二, 石., 伸行, 七., 義法, 古., 東舘成希, 大介, 升., 坂本, 早., 崇人, 愛., et al. (2019) · The Japanese Journal of SURGICAL METABOLISM and NUTRITION · doi:10.11638/jssmn.53.4_163 · Cited by 1
Body composition and energy expenditure in men with schizophrenia
Sharpe, J.-K. (2007) · Faculty of Health · Cited by 1
A step from the physiology to the physiome
Noma, A., & Youm, J. B. (2016) · Integrative Medicine Research · doi:10.1016/j.imr.2016.02.001 · Cited by 1
Energy Production Pathways During Exercise
Racinais, S., & Perrey, S. (2016) · doi:10.1002/9781119046899.ch3 · Cited by 1
Sex Matters in Health and Disease: a review of biological sex differences with an emphasis on gliomaPreprint
Massey, S. C., Whitmire, P., Doyle, T. E., Ippolito, J. E., Mrugała, M. M., Hu, L., Canoll, P., Anderson, A. R. A., Wilson, M. A., Fitzpatrick, S. M., et al. (2019) · doi:10.7287/peerj.preprints.27716v1 · Cited by 1
Desilets, E. R. (2015) · Mspace (University of Manitoba) · Cited by 1
Zhang, L., Niu, J.-J., He, X.-M., Zheng, X., Zhao, Q.-G., Yu, X.-J., Luo, L., Ren, H., & Pei, Y. (2024) · medRxiv · doi:10.1101/2024.04.16.24305933 · Cited by 1
Physiological aspects of weight loss in obesity
Patel, K. (2011) · Nottingham ePrints (University of Nottingham)
Benatti, F. B. (2011) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/t.39.2011.tde-02082011-152813
Do means-tested school lunch subsidies change children's weekly consumption patterns?Preprint
Howard, L. L., & Prakash, N. (2009) · RePEc: Research Papers in Economics
Mitochondrial efficiency : focus on dietary nitrate, hypoxia and exercise
Schiffer, T. A. (2014) · Figshare
Smith, J. R. (2014) · TopSCHOLAR (Western Kentucky University)
Influence of protein nutrition and exercise on muscle metabolism.
Breen, L. (2011) · University of Birmingham Institutional Research Archive (University of Birmingham)
Extended morning fasting, energy balance and human health
Chowdhury, E. A. (2014) · The University of Bath Online Publications Store (The University of Bath)
Zhang, X.-Y., & Wang, D.-H. (2007) · Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology · doi:10.1016/j.cbpa.2007.06.265
Weight-gain and energy balance
Gordon, B. T. (2014) · Scholar Commons (University of South Carolina)
Comparative Effects of Cynomel and Hypo Support Formula
Lowe, J. C. (2009)
Effects on appetite, Energy Intake and Sensory Properties of a Meal
Reinbach, H. C. (2008)
Garcia, E. S., Monteiro, L. T., Coelho, D. B., Vilaça, Ê. L., & Soares, A. A. (2012)
Djafarian, K., Speakman, J. R., Stewart, J., & Jackson, D. M. (2015)
Jackson, D. M., Djafarian, K., Stewart, J., & Speakman, J. R. (2009)
He, Y., Perry, B., Bi, M., Li, Y., & Sun, C. (2012) · Applied Physiology, Nutrition, and Metabolism · doi:10.1139/apnm-2012-0282-test3
Prasannakumar, J., Kole, S. B., Kumbar, S. S., & Padmavathy, K. (2014) · Research and reviews : journal of medical and health sciences/Research an reviews : journal of medical and health sciences
Nutritional interventions to preserve skeletal muscle mass
Backx, E. M. P. (2016) · doi:10.18174/389376
Is Insulin Resistance Work Related?
Oțelea, M. R. (2017) · InTech eBooks · doi:10.5772/66333
Domínguez, R. R. (2017) · UVaDOC UVaDOC University of Valladolid Documentary Repository (University of Valladolid) · doi:10.35376/10324/23033
Energy Storage, Expenditure, and Utilization
Hackney, A. C. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-809206-4.00015-9
Obesity induced dysfunction of gastric vagal afferent signalling.
Kentish, S. J. (2013) · Adelaide Research & Scholarship (AR&S) (University of Adelaide)
The effects of omega-3 supplementation on whole body and skeletal muscle energy metabolism in humans
Jannas-Vela, S. (2017) · The Atrium (University of Guelph)
Minderis, P., Libnickienė, I., & Ratkevičius, A. (2016) · Baltic Journal of Sport and Health Sciences · doi:10.33607/bjshs.v2i101.56
Basal Metabolic Rate (BMR) estimation using Probabilistic Graphical Models
Jackson, Z. (2019) · KTH Publication Database DiVA (KTH Royal Institute of Technology)
The Relationship Between Diet, Body Composition, Cardiorespiratory Fitness and Respiratory Quotient
Bouchard, I. (2019) · KU ScholarWorks (University of Kansas)
Nutrition - The Man - Health 2020. Reviewed proceedings of Scientific Papers
Nitre, K. V. Ľ. F. S. V. (2020) · Slovenská poľnohospodárska univerzita v Nitre eBooks · doi:10.15414/2020.9788055222400
Sugiono, S., Suparman, S., Oktiarso, T., & Nugroho, W. S. (2020) · Journal of Applied Research and Technology · doi:10.22201/icat.24486736e.2020.18.5.1283
Delmiana, B., Setiadi, R., & Widyaningsih, Y. (2021) · Journal of Physics Conference Series · doi:10.1088/1742-6596/1725/1/012030
Martins, N. (2020) · White Rose eTheses Online (University of Leeds, The University of Sheffield, University of York)
Impact of different interventions on cardiovascular risk factors
Vergara, M. (2021) · Linköping University medical dissertations · doi:10.3384/diss.diva-179378
Sejarah kebudayaan India Kuno / Anwar Sari
Sari, A. (1994)
Optimizing protein delivery to promote skeletal muscle protein synthesis
Areta, J. L. (2014) · RMIT Research Repository (RMIT University Library) · doi:10.25439/rmt.27351192
Associations Between Resting Metabolic Rate and Energy Storage in Young Adults
Shook, R. P. (2013) · Scholar Commons (University of South Carolina)
Itagi, A. B. H., Kalaskar, A., Dukpa, P. T., Chandi, D. H., & Yunus, G. (2021) · MGM Journal of Medical Sciences · doi:10.4103/mgmj.mgmj_68_21
(2007) · Current Opinion in Endocrinology Diabetes and Obesity · doi:10.1097/med.0b013e32802e6d87
(2006) · Current Opinion in Endocrinology & Diabetes · doi:10.1097/01.med.0000244230.06529.0f
(2017) · ISRN Geriatrics · doi:10.1155/2068
Measurement of Blood Glucose-Lowering and Antidiabetic Activity
Müller, G. A. (2015) · Springer eBooks · doi:10.1007/978-3-319-05392-9_65
Nieuwenhuizen, A. G., & van Schothorst, E. M. (2022) · MDPI eBooks · doi:10.3390/books978-3-0365-1851-0
On the use of body mass measures in severity assessment in laboratory passerine birds
Andrews, C. (2022) · Animal Welfare · doi:10.7120/09627286.31.1.013
Moga, T. D., Moga, I., Sabau, M., Venter, A. C., Romanescu, D. D., Bimbó-Szuhai, E., Costas, L. M., Huniadi, A. C., & Rahota, D. (2022) · Geriatrics · doi:10.3390/geriatrics7050102
Rojo‐Tirado, M. Á. (2015) · UPM Digital Archive (Technical University of Madrid) · doi:10.20868/upm.thesis.35286
(2022) · Oxford University Press eBooks · doi:10.1093/oso/9780192845368.002.0005
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Guajardo-Montemayor, L. D. C., Rojas-Alvarado, R. A., González-González, I., Marín-Domínguez, R., Campos‐Pérez, F., Ibarra-García, A. P., & Ibarra, A. (2023) · Proceedings of Scientific Research Universidad Anáhuac Multidisciplinary Journal of Healthcare · doi:10.36105/psrua.2023v3n6.01
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Cauwenberghe, J. V., Dessel, K. V., Block, C. E. M. D., & Dirinck, E. L. (2024) · Clinical Endocrinology · doi:10.1111/cen.15157 · Cited by 1
Saseedharan, S., Bhalerao, A. A., & Badve, K. (2025) · Cureus · doi:10.7759/cureus.95586
Tomiga-Takae, R., Sonoda, Y., Yasukata, J., Kose, Y., Tomiga, Y., Yamamoto, T., Yoshimura, E., Yamada, Y., Ebine, N., Uehara, Y., et al. (2025) · Clinical Nutrition ESPEN · doi:10.1016/j.clnesp.2025.11.145
Hahn, H., Friedel, M., Niessner, C., Zipfel, S., & Mack, I. (2024) · Figshare · doi:10.6084/m9.figshare.26749376
Hahn, H., Friedel, M., Niessner, C., Zipfel, S., & Mack, I. (2024) · Figshare · doi:10.6084/m9.figshare.26749379
Pan, D., Zhou, C., Lan, L., Ronghui, W. A. N. G., Liu, Y., Li, H., Zheng, Y., & Liu, G. (2026) · Journal of Science in Sport and Exercise · doi:10.1007/s42978-025-00350-y
Lean body weight-indexed O 2 delivery during cardiopulmonary bypass and acute kidney injury
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Friedman, L., Goldenshluger, A., Turjeman, T., Raziel, A., Goitein, D., Kais, H., Dubnov-Raz, G., Mhaler, I., Youngster, I., Knaan, T., et al. (2026) · Clinical Nutrition · doi:10.1016/j.clnu.2026.106623
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Alwis, S. A. S. S. D., Zhang, X., Mei, H., Bi, X., Ma, X., Liu, Y., Xue, L., Kong, D., Wang, L., Wang, H., et al. (2026) · Frontiers in Physiology · doi:10.3389/fphys.2026.1716140
Metadata
- Authors
- Johnstone, A. M., Murison, S. D., Duncan, J. S., Rance, K. A., & Speakman, J. R.
- Affiliations
- University of Aberdeen (GB)
- Corresponding author
- Johnstone, Alexandra M
- Venue
- The American Journal of Clinical Nutrition
- Publisher
- Elsevier BV
- Published
- 2005-11
- Volume
- 82
- Issue
- 5
- Pages
- 941-948
- ISSN
- 0002-9165 (ISSN-L)
- OpenAlex
- W2132499198
- Cited by
- 514
- References
- 65
- Citations by year
- 2026: 23 · 2025: 30 · 2024: 27 · 2023: 29 · 2022: 60 · 2021: 36 · 2020: 30 · 2019: 27 · 2018: 18 · 2017: 28 · 2016: 27 · 2015: 36 · 2014: 21 · 2013: 23 · 2012: 21
- FWCI
- 3.18
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- American Journal of Clinical Nutrition (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Regulation of Appetite and Obesity
- Health Sciences › Medicine › Physiology (medical) › Body Composition Measurement Techniques
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Thyroid Disorders and Treatments
- Keywords
- basal metabolic rate, fat-free mass, fat mass, age, sex differences, bone mineral content, thyroxine, triiodothyronine, leptin, daily energy expenditure
- MeSH terms
- Adipose Tissue, Adult, Age Factors, Basal Metabolism, Body Composition, Body Constitution, Calorimetry, Indirect, Cross-Sectional Studies, Humans, Male, Middle Aged, Oxygen Consumption, Scotland, Sex Factors, Thyroxine, Triiodothyronine, Absorptiometry, Photon, Muscle, Skeletal, Leptin
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