HN-02230218_Evaluation of The Accuracy of the Predictive Equations for Resting Energy Expenditure (RRE) in Healthy Adult Persian Cohort Participants

Introduction: The gold standard of measuring the amount of body resting metabolic rate (RMR) by indirect calorimetry (IC). But due to technical issues, including: of its rigid valuation conditions, the high expense of the gas analyzer used for its measurement, and the fact that the measurement machines are not usually transportable. For this reason, predictive equations have been used extensively in this decade. The purpose of this study was to Evaluation of the accuracy of the predictive equations for RMR.Methods: This is a cross-sectional study conducted on 700 healthy participants. Included three groups: normal, overweight, obese. All participants, including men and women between the ages of 25 to 65 years, Five REE equations (Harris-Benedict, Mifflin, Owen, WHO) were used to evaluate the accuracy, compared the predicted equations and measured REE results.Results: Our findings showed that the males in the 3 groups of normal weight, the Mifflin and Harris-Benedict equation with prediction accuracy were:(58.2, 57.2%). Overweight: Owen and Mifflin equation with predictive accuracy (61.3, 58.4%) and obese: Harris-Benedict and Mifflin equation with predictive accuracy (61.5, 55.8%). Women: Normal weight: Mifflin and Owen equation with predictive accuracy (37.7, 34%), Overweight: all published equations are in the same range. And in the obese: The Mifflin and WHO equation by height, with predictive accuracy (53, 50%).Conclusions: In the present study, it was shown that the accuracy of predicting the equations at the individual and group levels varied and should be used with caution in their clinical application.