Validity of Resting Energy Expenditure Predictive Equations in Obese Women
Author Information
Author(s): Jonatan R. Ruiz, Francisco B. Ortega, Gerardo RodrÃguez, Pilar Alkorta, Idoia Labayen
Primary Institution: University of Granada, Spain
Hypothesis
The study investigates the validity of resting energy expenditure (REE) predictive equations before and after a 12-week energy-restricted diet intervention in obese women.
Conclusion
The accuracy of REE predictive equations varies significantly before and after weight loss in non-morbid obese women.
Supporting Evidence
- The Mifflin equation was the most accurate for predicting REE before the diet intervention.
- The Owen equation provided the best predictions after the 12-week diet intervention.
- Accuracy of REE predictions decreased significantly after weight loss.
- Participants lost an average of close to 10% of their body weight during the study.
- Variability in REE prediction accuracy was noted across different equations.
Takeaway
This study looked at how well different equations predict how much energy obese women burn at rest, both before and after they lost weight on a diet.
Methodology
The study measured resting energy expenditure using indirect calorimetry and assessed body composition in 86 obese women before and after a 12-week diet intervention.
Potential Biases
The study acknowledges potential biases due to the lack of control over menstrual cycle phases and smoking status.
Limitations
The study did not measure sex hormone levels to ensure participants were in the same menstrual cycle phase, and smoking was not excluded as a criterion.
Participant Demographics
Participants were obese, pre-menopausal Caucasian women aged 19 to 49 years with a BMI between 30 and 39.9 kg/m2.
Statistical Information
P-Value
0.044
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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