Is it acceptable for an equation to predict RMR within 10% of the actual value?

The expectation is that an equation used to predict resting metabolic rate (RMR) should ideally be accurate within a close range of the actual measured value. A 10% discrepancy can be considered substantial when addressing nutritional needs, as even slight miscalculations can lead to significant impacts on dietary planning and overall health. Accurate RMR predictions are critical for tailoring an individual's caloric intake and ensuring effective weight management or athletic performance.

A precise estimate helps practitioners provide appropriate nutrition recommendations, especially for those looking to lose weight, gain muscle, or enhance athletic performance. If the predictive equation falls outside of the 10% margin, it could suggest that the equation may not be reliable enough for practical applications across a broad population. Therefore, demanding a tighter accuracy standard is important to ensure that individuals are receiving the dietary guidance they require for their unique metabolic demands.