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Estimating the agreement between the metabolic rate calculated from prediction equations and from a portable indirect calorimetry device: an effort to develop a new equation for predicting resting metabolic rate

BACKGROUND: Many studies have been performed over time in order to determine the reliability of metabolic rate prediction equations. PURPOSE: To evaluate the agreement, in terms of bias, absolute bias and accuracy between metabolic rate prediction equations and measured metabolic rate using indirect...

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Autores principales: Pavlidou, Eleni, Petridis, Dimitris, Tolia, Maria, Tsoukalas, Nikolaos, Poultsidi, Antigoni, Fasoulas, Aristeidis, Kyrgias, George, Giaginis, Constantinos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6003108/
https://www.ncbi.nlm.nih.gov/pubmed/29983723
http://dx.doi.org/10.1186/s12986-018-0278-7
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author Pavlidou, Eleni
Petridis, Dimitris
Tolia, Maria
Tsoukalas, Nikolaos
Poultsidi, Antigoni
Fasoulas, Aristeidis
Kyrgias, George
Giaginis, Constantinos
author_facet Pavlidou, Eleni
Petridis, Dimitris
Tolia, Maria
Tsoukalas, Nikolaos
Poultsidi, Antigoni
Fasoulas, Aristeidis
Kyrgias, George
Giaginis, Constantinos
author_sort Pavlidou, Eleni
collection PubMed
description BACKGROUND: Many studies have been performed over time in order to determine the reliability of metabolic rate prediction equations. PURPOSE: To evaluate the agreement, in terms of bias, absolute bias and accuracy between metabolic rate prediction equations and measured metabolic rate using indirect calorimetry system (IC), investigating also the factors affecting this agreement. METHODS: The anthropometric features of 383 Caucasian participants of all Body Mass Index (BMI) classes were recorded and Resting Metabolic Rate (RMR) was measured by using the IC Fitmate portable device. The resulting values were compared with the predictive values of Harris & Benedict, Schofield, Owen, FAO-WHO-UNU, Mifflin and Harrington equations. RESULTS: A closer approximation in agreement was obtained using the Harrington equation (based on BMI, age and gender). The equations using variables, such as weight, height, age and gender demonstrated higher agreement than the equations using merely weight and gender. Higher educational level was associated with normal weight, while higher calorific ratio was found in the class of normal-weighted individuals. An inverse relationship between ΒΜΙ and RMR was also observed and a logarithmic equation for calculating RMR was created, which was differentiated in relation to BMI classes, using the weight and gender variables. CONCLUSION: A better measurement agreement between RMR prediction equations and IC may be achieved due to BMI consideration. The present findings contributed to a better understanding of the measured parameters, confirming the inverse relationship between BMI and RMR. Age group and gender variables may also exert significant role on the bias response of some RMR equations. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12986-018-0278-7) contains supplementary material, which is available to authorized users.
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spelling pubmed-60031082018-07-06 Estimating the agreement between the metabolic rate calculated from prediction equations and from a portable indirect calorimetry device: an effort to develop a new equation for predicting resting metabolic rate Pavlidou, Eleni Petridis, Dimitris Tolia, Maria Tsoukalas, Nikolaos Poultsidi, Antigoni Fasoulas, Aristeidis Kyrgias, George Giaginis, Constantinos Nutr Metab (Lond) Research BACKGROUND: Many studies have been performed over time in order to determine the reliability of metabolic rate prediction equations. PURPOSE: To evaluate the agreement, in terms of bias, absolute bias and accuracy between metabolic rate prediction equations and measured metabolic rate using indirect calorimetry system (IC), investigating also the factors affecting this agreement. METHODS: The anthropometric features of 383 Caucasian participants of all Body Mass Index (BMI) classes were recorded and Resting Metabolic Rate (RMR) was measured by using the IC Fitmate portable device. The resulting values were compared with the predictive values of Harris & Benedict, Schofield, Owen, FAO-WHO-UNU, Mifflin and Harrington equations. RESULTS: A closer approximation in agreement was obtained using the Harrington equation (based on BMI, age and gender). The equations using variables, such as weight, height, age and gender demonstrated higher agreement than the equations using merely weight and gender. Higher educational level was associated with normal weight, while higher calorific ratio was found in the class of normal-weighted individuals. An inverse relationship between ΒΜΙ and RMR was also observed and a logarithmic equation for calculating RMR was created, which was differentiated in relation to BMI classes, using the weight and gender variables. CONCLUSION: A better measurement agreement between RMR prediction equations and IC may be achieved due to BMI consideration. The present findings contributed to a better understanding of the measured parameters, confirming the inverse relationship between BMI and RMR. Age group and gender variables may also exert significant role on the bias response of some RMR equations. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12986-018-0278-7) contains supplementary material, which is available to authorized users. BioMed Central 2018-06-15 /pmc/articles/PMC6003108/ /pubmed/29983723 http://dx.doi.org/10.1186/s12986-018-0278-7 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Pavlidou, Eleni
Petridis, Dimitris
Tolia, Maria
Tsoukalas, Nikolaos
Poultsidi, Antigoni
Fasoulas, Aristeidis
Kyrgias, George
Giaginis, Constantinos
Estimating the agreement between the metabolic rate calculated from prediction equations and from a portable indirect calorimetry device: an effort to develop a new equation for predicting resting metabolic rate
title Estimating the agreement between the metabolic rate calculated from prediction equations and from a portable indirect calorimetry device: an effort to develop a new equation for predicting resting metabolic rate
title_full Estimating the agreement between the metabolic rate calculated from prediction equations and from a portable indirect calorimetry device: an effort to develop a new equation for predicting resting metabolic rate
title_fullStr Estimating the agreement between the metabolic rate calculated from prediction equations and from a portable indirect calorimetry device: an effort to develop a new equation for predicting resting metabolic rate
title_full_unstemmed Estimating the agreement between the metabolic rate calculated from prediction equations and from a portable indirect calorimetry device: an effort to develop a new equation for predicting resting metabolic rate
title_short Estimating the agreement between the metabolic rate calculated from prediction equations and from a portable indirect calorimetry device: an effort to develop a new equation for predicting resting metabolic rate
title_sort estimating the agreement between the metabolic rate calculated from prediction equations and from a portable indirect calorimetry device: an effort to develop a new equation for predicting resting metabolic rate
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6003108/
https://www.ncbi.nlm.nih.gov/pubmed/29983723
http://dx.doi.org/10.1186/s12986-018-0278-7
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