Sandra de la Cruz Marcos1, Beatriz de Mateo Silleras2, Ma Alicia Camina Martín3, Laura Carreño Enciso4, Alberto Miján de la Torre5, José E Galgani Fuentes6, Ma Paz Redondo del Río7. 1. Área de Nutrición y Bromatología. Departamento de Pediatría. Facultad de Medicina. Universidad de Valladolid, España.. sandracruzmarcos@yahoo.es. 2. Área de Nutrición y Bromatología. Departamento de Pediatría. Facultad de Medicina. Universidad de Valladolid, España.. bdemateo@ped.uva.es. 3. Área de Nutrición y Bromatología. Departamento de Pediatría. Facultad de Medicina. Universidad de Valladolid, España.. aliciacamina@gmail.com. 4. Área de Nutrición y Bromatología. Departamento de Pediatría. Facultad de Medicina. Universidad de Valladolid, España.. lauracarreno@yahoo.es. 5. Área de Nutrición y Bromatología. Departamento de Pediatría. Facultad de Medicina. Universidad de Valladolid, España. Servicio de Medicina Interna (Nutrición). Hospital Universitario de Burgos, España.. mijan@hgy.es. 6. Departamento de Nutrición, Diabetes y Metabolismo. Escuela de Medicina. Pontificia Universidad Católica de Chile (Santiago), Chile. UDA-Ciencias de la Salud, Carrera de Nutrición y Dietética. Escuela de Medicina. Pontificia Universidad Católica de Chile (Santiago), Chile.. jgalgani@uc.cl. 7. Área de Nutrición y Bromatología. Departamento de Pediatría. Facultad de Medicina. Universidad de Valladolid, España.. pazr@ped.uva.es.
Abstract
INTRODUCTION: although there are precise and accurate techniques for estimating resting energy expenditure, like the indirect calorimetry (IC), daily practice needs faster, easier and cheaper methods as the predictive equations. OBJECTIVE: the aim of the study was to develop a new predictive equation for estimating resting energy expenditure (REE) for healthy Spanish population. Méthods: the REE of 95 healthy normal weighted volunteers was determined by indirect calorimetry (IC). The new equation was obtained by multiple lineal regression by using the analytical criteria of the Cp of Mallows and the adjusted R2. Then, the behavior of the new formula was studied in a group of overweight volunteers through the intraclass correlation coefficient (ICC) and Bland-Almand plots. The level of signification was reached at p < 0,05. RESULTS: the average age was 42 years (range: 2.0-63.2). Mean REE determined by IC was 1 589.1 kcal/d (312.0). The selected equation was: [y = 1 376.4 - 308 Sex (M = 0; W = 1) + 11.1 Weigh (kg) - 8 Age (years)] (R2: 0.68; EE: 175.95). The ICC between the new equation and the IC in normal weighted subjects was 0.901 (95%CI: 0.851 - 0.934). The new formula showed a good level of agreement in the overweight group (ICC: 0.880; 95%IC: 0.772 - 0.937). CONCLUSIONS: we propose a new predictive equation for estimating the REE for healthy Spanish population which has an easy application and includes sex, age and weigh. The selected equation shows an adequate behavior in overweight subjects too. Copyright AULA MEDICA EDICIONES 2014. Published by AULA MEDICA. All rights reserved.
INTRODUCTION: although there are precise and accurate techniques for estimating resting energy expenditure, like the indirect calorimetry (IC), daily practice needs faster, easier and cheaper methods as the predictive equations. OBJECTIVE: the aim of the study was to develop a new predictive equation for estimating resting energy expenditure (REE) for healthy Spanish population. Méthods: the REE of 95 healthy normal weighted volunteers was determined by indirect calorimetry (IC). The new equation was obtained by multiple lineal regression by using the analytical criteria of the Cp of Mallows and the adjusted R2. Then, the behavior of the new formula was studied in a group of overweight volunteers through the intraclass correlation coefficient (ICC) and Bland-Almand plots. The level of signification was reached at p < 0,05. RESULTS: the average age was 42 years (range: 2.0-63.2). Mean REE determined by IC was 1 589.1 kcal/d (312.0). The selected equation was: [y = 1 376.4 - 308 Sex (M = 0; W = 1) + 11.1 Weigh (kg) - 8 Age (years)] (R2: 0.68; EE: 175.95). The ICC between the new equation and the IC in normal weighted subjects was 0.901 (95%CI: 0.851 - 0.934). The new formula showed a good level of agreement in the overweight group (ICC: 0.880; 95%IC: 0.772 - 0.937). CONCLUSIONS: we propose a new predictive equation for estimating the REE for healthy Spanish population which has an easy application and includes sex, age and weigh. The selected equation shows an adequate behavior in overweight subjects too. Copyright AULA MEDICA EDICIONES 2014. Published by AULA MEDICA. All rights reserved.