Congruent Validity of Resting Energy Expenditure Predictive Equations in Young Adults.

Francisco Amaro-Gahete,Borja Martinez-Tellez,Victoria Muñoz-Hernandez,Jonatan R Ruiz,Idoia Labayen,Elisa Merchan-Ramirez,Juan Alcantara,Guillermo Sanchez-Delgado,Marie Löf

doi:10.3390/nu11020223

Francisco Amaro-Gahete, Borja Martinez-Tellez + Show 7 more

Open Access

https://doi.org/10.3390/nu11020223

Copy DOI

Abstract

Having valid and reliable resting energy expenditure (REE) estimations is crucial to establish reachable goals for dietary and exercise interventions. However, most of the REE predictive equations were developed some time ago and, as the body composition of the current population has changed, it is highly relevant to assess the validity of REE predictive equations in contemporary young adults. In addition, little is known about the role of sex and weight status on the validity of these predictive equations. Therefore, this study aimed to investigate the role of sex and weight status in congruent validity of REE predictive equations in young adults. A total of 132 young healthy adults (67.4% women, 18–26 years old) participated in the study. We measured REE by indirect calorimetry strictly following the standard procedures, and we compared it to 45 predictive equations. The most accurate equations were the following: (i) the Schofield and the “Food and Agriculture Organization of the United Nations/World Health Organization/United Nations” (FAO/WHO/UNU) equations in normal weight men; (ii) the Mifflin and FAO/WHO/UNU equations in normal weight women; (iii) the Livingston and Korth equations in overweight men; (iv) the Johnstone and Frankenfield equations in overweight women; (v) the Owen and Bernstein equations in obese men; and (vi) the Owen equation in obese women. In conclusion, the results of this study show that the best equation to estimate REE depends on sex and weight status in young healthy adults.

Highlights

The main component of daily energy expenditure (60%–70%) is resting energy expenditure (REE) [1]
REE predictive equations are used in clinical practice, but some of them are specific for certain population groups, including different weight status or different ethnic groups [4,6,16,17,25]
In order to classify participants’ underor overprediction with every REE equation, we considered an accurate estimation when the equation predicted between 90% and 110% of the measured REE [32,33], considering underprediction and overprediction when the estimation was below 90% and above 110% of the measured REE, respectively

Summary

Introduction

The main component of daily energy expenditure (60%–70%) is resting energy expenditure (REE) [1]. For the majority of clinics and nutrition centers, it is difficult to get REE measures through indirect calorimetry, because of time constraints and the high cost of the devices. REE predictive equations are commonly used as an alternative method [2]. Indirect calorimetry (IC) is considered the reference REE measurement technique [22]. REE predictive equations are used in clinical practice, but some of them are specific for certain population groups, including different weight status or different ethnic groups [4,6,16,17,25]. Two predictive equations for young adults were recently validated [4,11], yet little is known about the role of sex and weight status on the validity of these predictive equations

Objectives

Methods

Discussion

Conclusion