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Comparison of Measured Versus Predicted Resting Energy Expenditure in Individuals With Excess Body Weight

OBJECTIVES: Assessing resting energy expenditure (REE) is important for determining energy requirements. Indirect calorimetry is usually not available in clinical settings and for this reason, predictive equations for estimating REE have been developed. Body composition influences REE; therefore, bo...

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Autores principales: Montenegro, Julia, Oliveira, Camila, Berg, Aloys, Sharma, Arya, Mereu, Laurie, Walter, Jens, Prado, Carla
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9193493/
http://dx.doi.org/10.1093/cdn/nzac057.017
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author Montenegro, Julia
Oliveira, Camila
Berg, Aloys
Sharma, Arya
Mereu, Laurie
Walter, Jens
Prado, Carla
author_facet Montenegro, Julia
Oliveira, Camila
Berg, Aloys
Sharma, Arya
Mereu, Laurie
Walter, Jens
Prado, Carla
author_sort Montenegro, Julia
collection PubMed
description OBJECTIVES: Assessing resting energy expenditure (REE) is important for determining energy requirements. Indirect calorimetry is usually not available in clinical settings and for this reason, predictive equations for estimating REE have been developed. Body composition influences REE; therefore, body compartments such fat-free mass (FFM) and fat mass (FM) should be considered in predictive equations. The aim of this study was to compare REE measured by indirect calorimetry with REE estimated from seven predictive equations that consider body composition in individuals with excess body weight. METHODS: This was a preliminary baseline data from a randomized controlled trial. REE was measured in adults with overweight and obesity using a whole-body calorimetry unit. Dual-energy X-ray absorptiometry was used to assess FM and FFM. Measured REE (mREE) was compared to seven predictive equations that incorporated FFM and FM. Age and body composition were compared between sexes using independent-samples t-test. A paired-samples t-test was used to compare mREE versus predicted REE (pREE). Bias and limits of agreement (LOA) were accessed by Bland-Altman analysis. pREE values between 95% and 105% of mREE were considered accurate. RESULTS: Twenty-one adults (n = 15 females, age: 27 ± 7 years, BMI: 29.0 ± 2.9 kg/m(2), mREE: 1769 ± 342 kcal/day) were assessed. Age, FM, and FFM were not different between sexes (P > 0.05). The Muller et al., 2001 (Praxis 90: 1955–1963) and Horie et al., 2007 (Obesity 19: 1090–1094) equations were considered accurate and showed small bias, but high standard deviation (33.5 ± 178.2 and −51.4 ± 208.6 kcal/day) and wide LOAs (-316 to 383 and -460 to 357 kcal/day, respectively). However, when separated by sex, only the equation by Muller et al., 2001 was accurate for males (bias: −85.3 ± 161.4; LOA: -402 to 231 kcal/day) and only the equation by Horie et al., 2007 was accurate for females (bias: 28.0 ± 162.4; LOA: -290 to 346 kcal/day). All other equations (5) underestimated mREE. CONCLUSIONS: The equations by Muller et al., 2001 and Horie et al., 2007 can be used for estimating REE in adults with excess body weight. The use of body composition per se in not enough to ensure accuracy of predictive equations. FUNDING SOURCES: Almased® (Almased USA, Inc., Wellington, FL, USA) and Alberta Diabetes Institute (University of Alberta, Edmonton, AB, Canada).
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spelling pubmed-91934932022-06-14 Comparison of Measured Versus Predicted Resting Energy Expenditure in Individuals With Excess Body Weight Montenegro, Julia Oliveira, Camila Berg, Aloys Sharma, Arya Mereu, Laurie Walter, Jens Prado, Carla Curr Dev Nutr Energy and Macronutrient Metabolism OBJECTIVES: Assessing resting energy expenditure (REE) is important for determining energy requirements. Indirect calorimetry is usually not available in clinical settings and for this reason, predictive equations for estimating REE have been developed. Body composition influences REE; therefore, body compartments such fat-free mass (FFM) and fat mass (FM) should be considered in predictive equations. The aim of this study was to compare REE measured by indirect calorimetry with REE estimated from seven predictive equations that consider body composition in individuals with excess body weight. METHODS: This was a preliminary baseline data from a randomized controlled trial. REE was measured in adults with overweight and obesity using a whole-body calorimetry unit. Dual-energy X-ray absorptiometry was used to assess FM and FFM. Measured REE (mREE) was compared to seven predictive equations that incorporated FFM and FM. Age and body composition were compared between sexes using independent-samples t-test. A paired-samples t-test was used to compare mREE versus predicted REE (pREE). Bias and limits of agreement (LOA) were accessed by Bland-Altman analysis. pREE values between 95% and 105% of mREE were considered accurate. RESULTS: Twenty-one adults (n = 15 females, age: 27 ± 7 years, BMI: 29.0 ± 2.9 kg/m(2), mREE: 1769 ± 342 kcal/day) were assessed. Age, FM, and FFM were not different between sexes (P > 0.05). The Muller et al., 2001 (Praxis 90: 1955–1963) and Horie et al., 2007 (Obesity 19: 1090–1094) equations were considered accurate and showed small bias, but high standard deviation (33.5 ± 178.2 and −51.4 ± 208.6 kcal/day) and wide LOAs (-316 to 383 and -460 to 357 kcal/day, respectively). However, when separated by sex, only the equation by Muller et al., 2001 was accurate for males (bias: −85.3 ± 161.4; LOA: -402 to 231 kcal/day) and only the equation by Horie et al., 2007 was accurate for females (bias: 28.0 ± 162.4; LOA: -290 to 346 kcal/day). All other equations (5) underestimated mREE. CONCLUSIONS: The equations by Muller et al., 2001 and Horie et al., 2007 can be used for estimating REE in adults with excess body weight. The use of body composition per se in not enough to ensure accuracy of predictive equations. FUNDING SOURCES: Almased® (Almased USA, Inc., Wellington, FL, USA) and Alberta Diabetes Institute (University of Alberta, Edmonton, AB, Canada). Oxford University Press 2022-06-14 /pmc/articles/PMC9193493/ http://dx.doi.org/10.1093/cdn/nzac057.017 Text en © The Author 2022. Published by Oxford University Press on behalf of The International Society for Human and Animal Mycology. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Energy and Macronutrient Metabolism
Montenegro, Julia
Oliveira, Camila
Berg, Aloys
Sharma, Arya
Mereu, Laurie
Walter, Jens
Prado, Carla
Comparison of Measured Versus Predicted Resting Energy Expenditure in Individuals With Excess Body Weight
title Comparison of Measured Versus Predicted Resting Energy Expenditure in Individuals With Excess Body Weight
title_full Comparison of Measured Versus Predicted Resting Energy Expenditure in Individuals With Excess Body Weight
title_fullStr Comparison of Measured Versus Predicted Resting Energy Expenditure in Individuals With Excess Body Weight
title_full_unstemmed Comparison of Measured Versus Predicted Resting Energy Expenditure in Individuals With Excess Body Weight
title_short Comparison of Measured Versus Predicted Resting Energy Expenditure in Individuals With Excess Body Weight
title_sort comparison of measured versus predicted resting energy expenditure in individuals with excess body weight
topic Energy and Macronutrient Metabolism
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9193493/
http://dx.doi.org/10.1093/cdn/nzac057.017
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