Background: The energy balance is the cornerstone for the body weight management and
is inextricably linked to Resting Metabolic Rate (RMR). Over the years, there have been many studies
estimating the reliability of prediction equations and several attempts to create new more reliable
equations which correspond to specific populations.
Objective: The evaluation of the accuracy of prediction of RMR equations in an individual and population
basis, the reliability of the metabolic measurement systems and the factors affecting RMR, in
order to determine the suitability of their use in diverse populations.
Methods: Comprehensive review using keyword combinations derived from the available database.
Results: A variation was recorded among the studies. Some of them presented convergence, while
others presented significant differences in the comparison between the most commonly used prediction
equations and the measured RMR using the method of Indirect Calorimetry (IC). Furthermore, the
existing studies have shown that the IC method is a reliable and valid measurement system of RMR.
However, the effect of certain factors on the metabolic performance (such as age, gender, etc.) remains
Conclusion: The measurement of RMR using the IC method is the most convenient, reliable and accurate
method. Nevertheless, the prediction equations are useful tools for the assessment of energy requirements
in cases where the application of IC method is not possible. However, a research protocol
should be performed for the evaluation of the equations in relation to the sample, but also in relation to
the statistical analysis in order to eliminate the heterogeneity which may lead to misconceptions and