Acta Diabetologica

, Volume 55, Issue 1, pp 59–66 | Cite as

New equations to estimate resting energy expenditure in obese adults from body composition

  • Antonino De Lorenzo
  • Laura Di Renzo
  • Pietro Morini
  • Renata Costa de Miranda
  • Lorenzo Romano
  • Carmela Colica
Original Article



The aims of this study were: to develop new equations for predicting resting energy expenditure (REE) in obese Italian subjects according to body composition parameters; to compare them with predicted values estimated by other REE prediction equations; and to cross-validate our equations using a validation set cohort.


Four hundred patients were enrolled and divided into three groups. Besides anthropometry and REE (indirect calorimetry), total body fat and lean were evaluated by dual X-ray absorptiometry, and fat mass and fat-free mass by bioelectrical impedance analysis.


The subjects eligible to participate were 330. Group 1 (n = 174) was used to develop (R 2 = 0.79) and (R 2 = 0.77). Group 2 (n = 115) was used to generate (R 2 = 0.85) and (R 2 = 0.81). Group 3 (n = 41) was used to cross-validate the equations.


Equations 1 and 3 are reliable to measure REE from calorimetry and better than other equations that use anthropometric variables as predictors of REE. Further analysis in different populations is required before it can be applied in clinical practice.


Prediction equation Resting energy expenditure Body composition Obese Adults 



We are beholden to all the subjects who volunteered in the study. We also thank the entire medical team from the Section of Clinical Nutrition and Nutrigenomic, University of Rome Tor Vergata, Rome. This study was supported by grants from Ministry of Agriculture, Food and Forestry (D.M.; 2017188).

Authors’ Contributions

De Lorenzo A conceived, designed the experiments and drafted the manuscript; Di Renzo L, Morini P, Romano L contributed to the interpretation of the data and drafted the manuscript; Romano L collected the data and performed the experiments; de Miranda RC analyzed the data; Colica C had primary responsibility for the final content. All the authors read and approved the final manuscript.

Compliance with ethical standards

Conflict of interest

All authors declare no conflict of interest.

Ethical approval

All procedures performed were in accordance with the ethical standards of the institutional research committee and with the 1964 Declaration of Helsinki and its later amendments or comparable ethical standards.

Informed consent

Informed consent was obtained from all participants included in this study.


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Copyright information

© Springer-Verlag Italia S.r.l. 2017

Authors and Affiliations

  1. 1.Section of Clinical Nutrition and Nutrigenomic, Department of Biomedicine and PreventionUniversity of Rome Tor VergataRomeItaly
  2. 2.ICANS International Center for Assessment of Nutritional StatusUniversity of MilanMilanItaly
  3. 3.School of Applied Medical-Surgical SciencesUniversity of Rome Tor VergataRomeItaly
  4. 4.CAPES Scholarship (Proc N° BEX 13264/13-3). CAPES FoundationMinistry of Education of BrazilBrasíliaBrazil
  5. 5.Specialisation School of Food ScienceUniversity of Rome Tor VergataRomeItaly
  6. 6.CNR, IBFM UOS of GermanetoUniversity “Magna Graecia” of CatanzaroGermanetoItaly
  7. 7.Casa di Cura Madonna dello ScoglioCotronei (KR)Italy

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