Which predictive equation is shown to be the most accurate?

Which predictive equation is shown to be the most accurate?

• A. Owens using adjusted body weight
• B. Harris-Benedict using actual body weight
• C. Mifflin-St. Jeor using actual body weight
• D. Mifflin-St. Jeor using adjusted body weight

Answer: (C)

Estimating energy needs relies on predictive equations for resting energy expenditure, and accuracy depends on how well those equations were developed and validated. The Mifflin-St. Jeor equation was created from a large, contemporary adult population and validated against measured REE using indirect calorimetry. When you plug in actual body weight, its estimates align more closely with actual metabolic measurements across a wide range of body sizes and sexes, compared with the Harris-Benedict approach, which tends to overestimate in many obese individuals and underestimate in lean ones. Owens is an older equation, and using adjusted body weight introduces more variability and often reduces accuracy in modern populations. Therefore, using the Mifflin-St. Jeor equation with actual body weight provides the most accurate estimates among these options.

Estimating energy needs relies on predictive equations for resting energy expenditure, and accuracy depends on how well those equations were developed and validated. The Mifflin-St. Jeor equation was created from a large, contemporary adult population and validated against measured REE using indirect calorimetry. When you plug in actual body weight, its estimates align more closely with actual metabolic measurements across a wide range of body sizes and sexes, compared with the Harris-Benedict approach, which tends to overestimate in many obese individuals and underestimate in lean ones. Owens is an older equation, and using adjusted body weight introduces more variability and often reduces accuracy in modern populations. Therefore, using the Mifflin-St. Jeor equation with actual body weight provides the most accurate estimates among these options.