![]() ![]() Weight loss can decrease health risks associated with obesity 2, 3. ![]() Obesity is a serious global health concern due to its association with metabolic and cardiovascular diseases 1. The lower mRMR in AA could be related to truncal fat-free mass representing the activity of metabolically active intraabdominal organs. We found that formulas utilizing height, weight, gender, and age systematically overestimate mRMR and hence predict higher calorie needs among AA. Mifflin–St.Joer and HB equations that use just age, gender, height, and weight overestimated kcal expenditure in AA by 138 ± 148 and 242 ± 164 ( p < 0.0001), respectively. When using only clinically measured variables to predict mRMR, we found race, hip circumference, age, gender, and weight to be significant predictors of mRMR ( p < 0.005). ![]() The impact of race on mRMR was mitigated by adding in truncal FFM to the model. AA race was associated with 144 kcal/day ( p < 0.0001) decrease in mRMR. For every kg increase in FFM, RMR increased by 28 kcal/day ( p < 0.0001). After adjusting for age, gender, and anthropometrics, the two largest predictors of mRMR were race ( p < 0.0001) and FFM ( p < 0.0001). Linear regression models were used to determine factors affecting mRMR. Measured RMR (mRMR) by respirometry was compared with predicted RMR (pRMR) generated by Mifflin–St.Joer, Cunningham, and Harris–Benedict (HB) equations. Along with standard anthropometrics, dual-energy X-ray absorptiometry was used to obtain fat-free mass(FFM) and total fat mass. We measured RMR in 114 subjects (67% female, 30% African American ) using IC. In this study, we sought to determine the accuracy of these formulas in determining RMR and assess additional factors that may determine RMR. It is impractical to measure RMR by IC in routine clinical practice therefore, several formulas are used to predict RMR. Respirometry, a form of indirect calorimetry (IC), is considered one of the most accurate methods to measure RMR in clinical and research settings. Resting metabolic rate (RMR) is a key determinant of daily caloric needs. ![]()
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