The most widely used prediction equation is the Harris-Benedict Equation (HBE), which was developed in 1918 as a simple, easy-to-use and universally available method for calculation of BMR. Thus, the majority of BMR estimates for weight loss interventions rely on BMR prediction equations. Although IC is extremely valid, it is not widely available, has a high cost, is time consuming and requires specialized personnel for its execution. 4 The gold standard for BMR measurement is IC, whereby oxygen consumption and carbon dioxide production in expired air are directly measured for calculation of energy expenditure. 3 The measurement of BMR via prediction equations, bioelectrical impedance analysis (BIA) and indirect calorimetry (IC) is a common practice in weight clinics and for research. There are several methods to measure energy expenditure, but there is no consensus about which is the most accurate for specific populations. 1 Since the BMR represents the major component of daily energy expenditure in humans, it is an important calculation for developing, understanding and executing weight-related interventions. Other factors that affect the BMR includes age, sex, diet, thyroid status, exercise, and stress. Several studies reported that fat-free mass or the lean body mass plays a major role in the variations in BMR. The measurement of basal metabolic rate (BMR), defined as the energy required for performing vital body functions at rest, is the largest component of energy expenditure.
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