Resting energy expenditure in obese women: comparison between measured and estimated values

Assessing energy requirements is a fundamental activity in clinical dietetic practice. The aim of this study was to investigate which resting energy expenditure (REE) predictive equations are the best alternatives to indirect calorimetry before and after an interdisciplinary therapy in Brazilian obe...

Full description

Saved in:
Bibliographic Details
Published in:British journal of nutrition 2016-10, Vol.116 (7), p.1306-1313
Main Authors: Poli, Vanessa Fadanelli Schoenardie, Sanches, Ricardo Badan, Moraes, Amanda dos Santos, Fidalgo, João Pedro Novo, Nascimento, Maythe Amaral, Andrade-Silva, Stephan Garcia, Clemente, José Carlos, Yi, Liu Chiao, Caranti, Danielle Arisa
Format: Article
Language:English
Subjects:
Adult
Basal Metabolism
Behavior Therapy
Behaviour, Appetite and Obesity
Body Composition
Body Mass Index
Brazil
Calorimetry
Calorimetry, Indirect
Correlation coefficient
Diet
Energy
Energy Metabolism
Exercise
Female
Humans
Mathematical Concepts
Middle Aged
Nutrition Therapy
Obesity
Obesity - physiopathology
Obesity - psychology
Obesity - therapy
Premenopause
Statistical analysis
Women
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Assessing energy requirements is a fundamental activity in clinical dietetic practice. The aim of this study was to investigate which resting energy expenditure (REE) predictive equations are the best alternatives to indirect calorimetry before and after an interdisciplinary therapy in Brazilian obese women. In all, twelve equations based on weight, height, sex, age, fat-free mass and fat mass were tested. REE was measured by indirect calorimetry. The interdisciplinary therapy consisted of nutritional, physical exercise, psychological and physiotherapy support during the course of 1 year. The average differences between measured and predicted REE, as well as the accuracy at the ±10 % level, were evaluated. Statistical analysis included paired t tests, intraclass correlation coefficients and Bland–Altman plots. Validation was based on forty obese women (BMI 30–39·9 kg/m2). Our major findings demonstrated a wide variation in the accuracy of REE predictive equations before and after weight loss in non-morbid, obese women. The equations reported by Harris–Benedict and FAO/WHO/United Nations University (UNU) were the only ones that did not show significant differences compared with indirect calorimetry and presented a bias
ISSN:0007-1145
1475-2662
DOI:10.1017/S0007114516003172