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Acta Diabetologica

Published in:

01-01-2018 | Original Article

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

Authors: Antonino De Lorenzo, Laura Di Renzo, Pietro Morini, Renata Costa de Miranda, Lorenzo Romano, Carmela Colica

Published in: Acta Diabetologica | Issue 1/2018

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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Title: New equations to estimate resting energy expenditure in obese adults from body composition
Authors: Antonino De Lorenzo
Laura Di Renzo
Pietro Morini
Renata Costa de Miranda
Lorenzo Romano
Carmela Colica
Publication date: 01-01-2018
Publisher: Springer Milan
Published in: Acta Diabetologica / Issue 1/2018
Print ISSN: 0940-5429
Electronic ISSN: 1432-5233
DOI: https://doi.org/10.1007/s00592-017-1061-3

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Abstract

Aims

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