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Nutrients 2018, 10(1), 63; https://doi.org/10.3390/nu10010063

Validity of Predictive Equations for Resting Energy Expenditure Developed for Obese Patients: Impact of Body Composition Method

1
Nutrition Department, Rouen University Hospital Center, 76000 Rouen, France
2
Normandie University, URN, INSERM UMR 1073 «Nutrition, Inflammation et Dysfonction de l’axe Intestin-Cerveau», IRIB, 76000 Rouen, France
3
Clinical Investigation Center, CIC 1404, INSERM and Rouen University Hospital, 76000 Rouen, France
4
Nutrition Unit, University Hospital of Limoges, 87000 Limoges, France
5
Tropical Neuroepidemiology, INSERM, U1094, 87000 Limoges, France
6
Tropical Neuroepidemiology, Institute of Neuroepidemiology and Tropical Neurology, University Limoges, UMR_S 1094, CNRS FR 3503 GEIST, F-87000 Limoges, France
*
Author to whom correspondence should be addressed.
Received: 27 October 2017 / Revised: 18 December 2017 / Accepted: 2 January 2018 / Published: 10 January 2018
(This article belongs to the Special Issue Energy Intake, Trends, and Determinants)
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Abstract

Predictive equations have been specifically developed for obese patients to estimate resting energy expenditure (REE). Body composition (BC) assessment is needed for some of these equations. We assessed the impact of BC methods on the accuracy of specific predictive equations developed in obese patients. REE was measured (mREE) by indirect calorimetry and BC assessed by bioelectrical impedance analysis (BIA) and dual-energy X-ray absorptiometry (DXA). mREE, percentages of prediction accuracy (±10% of mREE) were compared. Predictive equations were studied in 2588 obese patients. Mean mREE was 1788 ± 6.3 kcal/24 h. Only the Müller (BIA) and Harris & Benedict (HB) equations provided REE with no difference from mREE. The Huang, Müller, Horie-Waitzberg, and HB formulas provided a higher accurate prediction (>60% of cases). The use of BIA provided better predictions of REE than DXA for the Huang and Müller equations. Inversely, the Horie-Waitzberg and Lazzer formulas provided a higher accuracy using DXA. Accuracy decreased when applied to patients with BMI ≥ 40, except for the Horie-Waitzberg and Lazzer (DXA) formulas. Müller equations based on BIA provided a marked improvement of REE prediction accuracy than equations not based on BC. The interest of BC to improve REE predictive equations accuracy in obese patients should be confirmed. View Full-Text
Keywords: resting energy expenditure; body composition; bioelectrical impedance analysis; dual-energy X-ray absorptiometry resting energy expenditure; body composition; bioelectrical impedance analysis; dual-energy X-ray absorptiometry
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Achamrah, N.; Jésus, P.; Grigioni, S.; Rimbert, A.; Petit, A.; Déchelotte, P.; Folope, V.; Coëffier, M. Validity of Predictive Equations for Resting Energy Expenditure Developed for Obese Patients: Impact of Body Composition Method. Nutrients 2018, 10, 63.

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