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The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Normalizing resting energy expenditure across the life course in humans: challenges and hopes

Müller, Manfred J., Geisler, Corinna, Hübers, Mark, Pourhassan, Maryam, Braun, Wiebke, Bosy-Westphal, Anja·2018·European Journal of Clinical Nutrition
DOI 10.1038/s41430-018-0151-9
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Abstract

Whole-body daily energy expenditure is primarily due to resting energy expenditure (REE). Since there is a high inter-individual variance in REE, a quantitative and predictive framework is needed to normalize the data. Complementing the assessment of REE with data normalization makes individuals of different sizes, age, and sex comparable. REE is closely correlated with body mass suggesting its near constancy for a given mass and, thus, a linearity of this association. Since body mass and its metabolic active components are the major determinants of REE, they have been implemented into allometric modeling to normalize REE for quantitative differences in body weight and/or body composition. Up to now, various size and allometric scale laws are used to adjust REE for body mass. In addition, the impact of the anatomical and physical properties of individual body components on REE has been quantified in large populations and for different age groups. More than 80% of the inter-individual variance in REE is explained by FFM and its composition. There is evidence that the impact of individual organs on REE varies between age groups with a higher contribution of brain and visceral organs in children/adolescents compared with adults where skeletal muscle mass contribution is greater than in children/adolescents. However, explaining REE variations by FFM and its composition has its own limitations (inter-correlations of organs/tissues). In future, this could be overcome by re-describi…

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Crossref · 10.1038/s41430-018-0151-9

Cites

4 of 4 references verified0 citation errors · 0 not checkable

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Claims other papers make about this one

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  • Lean mass (lean soft tissue), often conflated with fat-free mass, is the most significant determinant of resting energy expenditure (REE), accounting for at least 60%-80% of the interindividual variance in REE.

    “Lean mass (lean soft tissue), often conflated with fat-free mass, is the most significant determinant of resting energy expenditure (REE), accounting for at least 60%–80% of the interindividual variance in REE [183,184].”

    From International Society of Sports Nutrition position stand: diets for body weight reduction (2026) · cites this paper as [183]

Citations

Cites

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Research works printed but not linked: 30

  1. Müller MJ, Bosy-Westphal A, Klaus S, Kreymann G, Lührmann PM, Neuhäuser-Berthold M, et al. World Health Organization equations have shortcomings for predicting resting energy expenditure in persons from a modern, affluent population: generation of a new reference standard from a retrospective analysis of a German database of resting energy expenditure. Am J Clin Nutr. 2004;80:1379–90. · DOI · Paper page
  2. Heymsfield SB. Heat and life: the ongoing scientific odyssey. J Paren Enter Nutr. 2002;26:319–32. · DOI
  3. Müller MJ, Langemann D, Gehrke I, Later W, Heller M, Glüer CC, et al. Effect of constitution on mass of individual organs and their association with metabolic rate in humans - a detailed view on allometric scaling. PLoS ONE. 2011;7:e22732. · DOI
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  6. Illner K, Brinkmann G, Heller M, Bosy-Westphal A, Müller MJ. Metabolically active components of fat free mass and resting energy expenditure in non-obese adults. Am J Physiol Endocrinol Metab. 2000;278:E308–15. · DOI
  7. Heymsfield SB, Thomas D, Bosy-Westphal A, Shen W, Petersen CM, Müller MJ. Evolving concepts on adjusting human resting energy ependiture measurements for body size. Obes Rev. 2012;13:1001–14. · DOI
  8. Bosy-Westphal A, Reinecke U, Schlörke T, Illner K, Kutzner D, Heller M, et al. Effect of organ and tissue masses on resting energy expenditure in underweight, normal weight and obese adults. Int J Obes. 2004;28:72–9. · DOI
  9. Later W, Bosy-Westphal A, Hitze B, Kossel E, Glüer CC, Heller M, et al. No evidence of mass dependency of specific metabolic rates in healthy humans. Am J Clin Nutr. 2008;88:1004–9. · DOI
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  14. Geisler C, Braun W, Pourhassan M, Schweitzer L, Glüer CC, Bosy-Westphal A, et al. Gender-specific association in age-related changes in resting energy expenditure (REE) and MRI-mesasured body composition in healthy Caucasians. J Gerontol A Biol Sci Med Sci. 2015;94:1–6.
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  23. Bosy-Westphal A, Wolf A, Bührens F, Hitze B, Czech N, Mönig H, et al. Familial influences and obesity-associated metabolic risk factors contribute to the variation in resting energy expenditure: the Kiel Obesity Prevention Study. Am J Clin Nutr. 2008;87:1695–701. · DOI
  24. Bosy-Westphal A, Onur S, Wolf A, Korth O, Pfeuffer M, Schrezenmeir J, et al. Common familial influences on clustering of metabolic syndrome traits with central obesity and insulin resistance: the Kiel Obesity Prevention Study. Int J Obes. 2007;31:784–90. · DOI
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  26. Bader N, Bosy-Westphal A, Dilba B, Müller MJ. Intra- and interindividual variability of resting energy expenditure in healthy male subjects - biological and methodological variability of resting energy expenditure. Br J Nutr. 2005;94:843–9. · DOI
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Metadata

Authors
Müller, M. J., Geisler, C., Hübers, M., Pourhassan, M., Braun, W., & Bosy-Westphal, A.
Venue
European Journal of Clinical Nutrition
Publisher
Springer Science and Business Media LLC
Published
2018-04-27
Volume
72
Issue
5
Pages
628-637
ISSN
  • 0954-3007
  • 1476-5640
DOI
10.1038/s41430-018-0151-9
Cited by
67
References
4
Language
en
Licence
www.springer.com/tdm (tdm)

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