![]() ![]() Older adults and US-residing ethnic minorities were underrepresented both in the development of predictive equations and in validation studies. No validation work concentrating on individual errors was found for the WHO/FAO/UNU equation. Of these equations, the Mifflin-St Jeor equation was the most reliable, predicting RMR within 10% of measured in more nonobese and obese individuals than any other equation, and it also had the narrowest error range. The evidence was systematically evaluated, and a conclusion statement and grade were developed.įour prediction equations were identified as the most commonly used in clinical practice (Harris-Benedict, Mifflin-St Jeor, Owen, and World Health Organization/Food and Agriculture Organization/United Nations University ). Because these equations are applied by dietetics practitioners to individuals, a key inclusion criterion was research reports of individual data. Articles were accepted based on defined criteria and abstracted using evidence analysis tools developed by the American Dietetic Association. Therefore, a systematic review of the literature was undertaken to document the accuracy of predictive equations preliminary to deciding on the imperative to measure metabolic rate.Īs part of a larger project to determine the role of indirect calorimetry in clinical practice, an evidence team identified published articles that examined the validity of various predictive equations for resting metabolic rate (RMR) in nonobese and obese people and also in individuals of various ethnic and age groups. ![]() However, predictive equations might generate errors large enough to impact outcome. The metabolic rate can be measured or estimated by equations, but estimation is by far the more common method. An assessment of energy needs is a necessary component in the development and evaluation of a nutrition care plan. ![]()
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