Sandra de la Cruz Marcos1, Beatriz dee Mateo Silleras2, Ma Alicia Camina Martín3, Laura Carreño Enciso4, Alberto Miján de la Torre5, José E Galgani6, 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) Servicio de Medicina Interna (Nutrición). Hospital Universitario de Burgos, España.. albertomijan@gmail.com. 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
OBJECTIVE: the aim of this study was to analyze the agreement between the resting energy expenditure (REE) obtained by indirect calorimetry (IC) and that obtained by prediction equations in a sample of healthy adults from Spain. Méthods: a descriptive cross-sectional study was conducted in 95 healthy, normal-weight adults. REE was determined by IC and 45 population-specific prediction equations which were based on weight, height, sex and/or body composition (BC). The Intraclass Correlation Coefficient (ICC) and Bland-Alman plots were used to analyze the agreement between the REE obtained by IC and that obtained by prediction equations. The level of signification was reached at p < 0,05. RESULTS: mean age was 42 years (range: 23.0-63.2). Mean REE determined by CI was 1589 (312) kcal/d [1822.3 (224.3) kcal/d in men and 1379.3 (216.1) kcal/d in women; p < 0.05]. The De-Lorenzo, Harris-Benedict, Schofield, and especially the Korth equations showed the greatest level of agreement with respect to IC. CONCLUSIONS: there is high variability in the estimates of REE depending on the prediction equation used. The De Lorenzo, Harris-Benedict, and the Schofield equations showed a good level of agreement in our sample; however, the Korth equation was the most appropriate. Equations based on weight and/or height were more accurate than those which included body composition variables. Copyright AULA MEDICA EDICIONES 2014. Published by AULA MEDICA. All rights reserved.
OBJECTIVE: the aim of this study was to analyze the agreement between the resting energy expenditure (REE) obtained by indirect calorimetry (IC) and that obtained by prediction equations in a sample of healthy adults from Spain. Méthods: a descriptive cross-sectional study was conducted in 95 healthy, normal-weight adults. REE was determined by IC and 45 population-specific prediction equations which were based on weight, height, sex and/or body composition (BC). The Intraclass Correlation Coefficient (ICC) and Bland-Alman plots were used to analyze the agreement between the REE obtained by IC and that obtained by prediction equations. The level of signification was reached at p < 0,05. RESULTS: mean age was 42 years (range: 23.0-63.2). Mean REE determined by CI was 1589 (312) kcal/d [1822.3 (224.3) kcal/d in men and 1379.3 (216.1) kcal/d in women; p < 0.05]. The De-Lorenzo, Harris-Benedict, Schofield, and especially the Korth equations showed the greatest level of agreement with respect to IC. CONCLUSIONS: there is high variability in the estimates of REE depending on the prediction equation used. The De Lorenzo, Harris-Benedict, and the Schofield equations showed a good level of agreement in our sample; however, the Korth equation was the most appropriate. Equations based on weight and/or height were more accurate than those which included body composition variables. Copyright AULA MEDICA EDICIONES 2014. Published by AULA MEDICA. All rights reserved.
Authors: Xian-Jie Huang; Fei-Fei Guo; Fan Li; Jian-Chuang Zhao; Ya-Zhen Fan; Na Wang; Jun-Ying Qiao Journal: Zhongguo Dang Dai Er Ke Za Zhi Date: 2020-11