Energy expenditure and postprandial thermogenesis in obese women before and after weight loss

1983 ◽  
Vol 38 (5) ◽  
pp. 680-693 ◽  
Author(s):  
T Bessard ◽  
Y Schutz ◽  
E Jéquier
Obesity ◽  
2014 ◽  
Vol 22 (7) ◽  
pp. 1679-1684 ◽  
Author(s):  
Tongjian You ◽  
Xuewen Wang ◽  
Karin M. Murphy ◽  
Mary F. Lyles ◽  
Jamehl L. Demons ◽  
...  

1998 ◽  
Vol 20 (4) ◽  
pp. 403-416 ◽  
Author(s):  
Wayne H-H Sheu ◽  
H-M Linda Chin ◽  
H-Y Su ◽  
C-Y Jeng

2008 ◽  
Vol 19 (1) ◽  
pp. 29-35 ◽  
Author(s):  
Christian L. Roth ◽  
Thomas Reinehr ◽  
Gerit-Holger Schernthaner ◽  
Hans-Peter Kopp ◽  
Stefan Kriwanek ◽  
...  

2011 ◽  
Vol 35 (2) ◽  
pp. 214
Author(s):  
Alexander Schwartz ◽  
Rémi Rabasa-Lhoret ◽  
Jean-Marc Lavoie ◽  
Martin Brochu ◽  
Éric Doucet

2016 ◽  
Vol 116 (7) ◽  
pp. 1306-1313 ◽  
Author(s):  
Vanessa Fadanelli Schoenardie Poli ◽  
Ricardo Badan Sanches ◽  
Amanda dos Santos Moraes ◽  
João Pedro Novo Fidalgo ◽  
Maythe Amaral Nascimento ◽  
...  

AbstractAssessing 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 <5 %. The Harris–Benedict equation provided 40 and 47·5 % accurate predictions before and after therapy, respectively. The FAO equation provided 35 and 47·5 % accurate predictions. However, the Bland–Altman analysis did not show good agreement between these equations and indirect calorimetry. Therefore, the Harris–Benedict and FAO/WHO/UNU equations should be used with caution for obese women. The need to critically re-assess REE data and generate regional and more homogeneous REE databases for the target population is reinforced.


1972 ◽  
Vol 25 (10) ◽  
pp. 971-975 ◽  
Author(s):  
Robert B. Bradfield ◽  
Martin Jourdan

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