Antonino De Lorenzo1,2, Laura Di Renzo3, Pietro Morini4, Renata Costa de Miranda5,6, Lorenzo Romano7, Carmela Colica8,9. 1. Section of Clinical Nutrition and Nutrigenomic, Department of Biomedicine and Prevention, University of Rome Tor Vergata, Via Montpellier 1, 00133, Rome, Italy. delorenzo@uniroma2.it. 2. Casa di Cura Madonna dello Scoglio, 88836, Cotronei (KR), Italy. delorenzo@uniroma2.it. 3. Section of Clinical Nutrition and Nutrigenomic, Department of Biomedicine and Prevention, University of Rome Tor Vergata, Via Montpellier 1, 00133, Rome, Italy. 4. ICANS International Center for Assessment of Nutritional Status, University of Milan, 20133, Milan, Italy. 5. School of Applied Medical-Surgical Sciences, University of Rome Tor Vergata, 00133, Rome, Italy. 6. CAPES Scholarship (Proc N° BEX 13264/13-3). CAPES Foundation, Ministry of Education of Brazil, Brasília, DF, 70040-020, Brazil. 7. Specialisation School of Food Science, University of Rome Tor Vergata, 00133, Rome, Italy. 8. CNR, IBFM UOS of Germaneto, University "Magna Graecia" of Catanzaro, Campus "Salvatore Venuta", 88100, Germaneto, Catanzaro, Italy. 9. Casa di Cura Madonna dello Scoglio, 88836, Cotronei (KR), Italy.
Abstract
AIMS: The aims of this study were: to develop new equations for predicting resting energy expenditure (REE) in obese Italian subjects according to body composition parameters; to compare them with predicted values estimated by other REE prediction equations; and to cross-validate our equations using a validation set cohort. METHODS:Four hundred patients were enrolled and divided into three groups. Besides anthropometry and REE (indirect calorimetry), total body fat and lean were evaluated by dual X-ray absorptiometry, and fat mass and fat-free mass by bioelectrical impedance analysis. RESULTS: The subjects eligible to participate were 330. Group 1 (n = 174) was used to develop (R 2 = 0.79) and (R 2 = 0.77). Group 2 (n = 115) was used to generate (R 2 = 0.85) and (R 2 = 0.81). Group 3 (n = 41) was used to cross-validate the equations. CONCLUSION: Equations 1 and 3 are reliable to measure REE from calorimetry and better than other equations that use anthropometric variables as predictors of REE. Further analysis in different populations is required before it can be applied in clinical practice.
RCT Entities:
AIMS: The aims of this study were: to develop new equations for predicting resting energy expenditure (REE) in obese Italian subjects according to body composition parameters; to compare them with predicted values estimated by other REE prediction equations; and to cross-validate our equations using a validation set cohort. METHODS: Four hundred patients were enrolled and divided into three groups. Besides anthropometry and REE (indirect calorimetry), total body fat and lean were evaluated by dual X-ray absorptiometry, and fat mass and fat-free mass by bioelectrical impedance analysis. RESULTS: The subjects eligible to participate were 330. Group 1 (n = 174) was used to develop (R 2 = 0.79) and (R 2 = 0.77). Group 2 (n = 115) was used to generate (R 2 = 0.85) and (R 2 = 0.81). Group 3 (n = 41) was used to cross-validate the equations. CONCLUSION: Equations 1 and 3 are reliable to measure REE from calorimetry and better than other equations that use anthropometric variables as predictors of REE. Further analysis in different populations is required before it can be applied in clinical practice.
Entities:
Keywords:
Adults; Body composition; Obese; Prediction equation; Resting energy expenditure
Authors: Laura Di Renzo; Giorgia Cioccoloni; Simone Falco; Ludovico Abenavoli; Alessandra Moia; Paola Sinibaldi Salimei; Antonino De Lorenzo Journal: J Transl Med Date: 2018-11-12 Impact factor: 5.531
Authors: Laura Di Renzo; Giulia Cinelli; Maria Dri; Paola Gualtieri; Alda Attinà; Claudia Leggeri; Giuseppe Cenname; Ernesto Esposito; Alberto Pujia; Gaetano Chiricolo; Chiara Salimei; Antonino De Lorenzo Journal: Nutrients Date: 2020-11-11 Impact factor: 5.717
Authors: Laura Di Renzo; Giulia Cinelli; Lorenzo Romano; Samanta Zomparelli; Gemma Lou De Santis; Petronilla Nocerino; Giulia Bigioni; Lorenzo Arsini; Giuseppe Cenname; Alberto Pujia; Gaetano Chiricolo; Antonino De Lorenzo Journal: Nutrients Date: 2021-01-25 Impact factor: 5.717