Validity of predictive equations for resting energy expenditure in US and Dutch overweight and obese class I and II adults aged 18-65 y

BACKGROUND: Individual energy requirements of overweight and obese adults can often not be measured by indirect calorimetry. OBJECTIVE: The objective was to analyze which resting energy expenditure (REE) predictive equation was the best alternative to indirect calorimetry in US and Dutch adults aged...

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Bibliographic Details
Published in:The American journal of clinical nutrition 2008-10, Vol.88 (4), p.959-970
Main Author: Weijs, Peter JM
Format: Article
Language:English
Subjects:
Accuracy
Adolescent
Adult
Adults
Aged
Basal Metabolism - physiology
Biological and medical sciences
Body Mass Index
calorimetry
Calorimetry, Indirect - standards
Diet
Energy Metabolism - physiology
equations
Feeding. Feeding behavior
Female
Fundamental and applied biological sciences. Psychology
Humans
Male
Mathematics
Measurement
men
Middle Aged
Netherlands
Nutritional Requirements
Obesity
Obesity - epidemiology
Obesity - metabolism
overweight
Overweight - epidemiology
Overweight - metabolism
prediction
Predictive Value of Tests
Prevalence
resting energy expenditure
Sensitivity and Specificity
United States
validity
Vertebrates: anatomy and physiology, studies on body, several organs or systems
women
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Summary:BACKGROUND: Individual energy requirements of overweight and obese adults can often not be measured by indirect calorimetry. OBJECTIVE: The objective was to analyze which resting energy expenditure (REE) predictive equation was the best alternative to indirect calorimetry in US and Dutch adults aged 18-65 y with a body mass index (in kg/m²) of 25 to 40. DESIGN: Predictive equations based on weight, height, sex, age, fat-free mass, and fat mass were tested. REE in Dutch adults was measured with indirect calorimetry, and published data from the Institute of Medicine were used for US adults. The accuracy of the equations was evaluated on the basis of the percentage of subjects predicted within 10% of the REE measured, the root mean squared prediction error (RMSE), and the mean percentage difference (bias) between predicted and measured REE. RESULTS: Twenty-seven predictive equations (9 of which were based on FFM) were included. Validation was based on 180 women and 158 men from the United States and on 154 women and 54 men from the Netherlands aged
ISSN:0002-9165
1938-3207
DOI:10.1093/ajcn/88.4.959