Abstract
Aims
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.
Methods
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.
Results
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.
Conclusion
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.
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Acknowledgements
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).
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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.
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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.
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Informed consent was obtained from all participants included in this study.
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De Lorenzo, A., Di Renzo, L., Morini, P. et al. New equations to estimate resting energy expenditure in obese adults from body composition. Acta Diabetol 55, 59–66 (2018). https://doi.org/10.1007/s00592-017-1061-3
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DOI: https://doi.org/10.1007/s00592-017-1061-3