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The Harris Benedict equation is often used for comparison, and Goodstadt says some studies suggest that the Harris-Benedict Equation may be more accurate than Mifflin-St. Jeor. That equation is ...
It was the best prediction equation until 1990, when Mifflin et al. [22] introduced the equation: The Mifflin St Jeor equation = ...
Some of the most popular and accurate equations used to calculate BMR are the original Harris-Benedict equations, the revised Harris-Benedict equations, and the Mifflin St. Jeor equation. [19] The original Harris-Benedict Equations are as follows: BMR (Males) in Kcals/day = 66.47 + 13.75 (weight in kg) + 5.0 (height in cm) - 6.76 (age in years)
The Harris–Benedict equation (also called the Harris-Benedict principle) is a method used to estimate an individual's basal metabolic rate (BMR).. The estimated BMR value may be multiplied by a number that corresponds to the individual's activity level; the resulting number is the approximate daily kilocalorie intake to maintain current body weight.
“All it takes is to do an online search for the Mifflin-St Jeor calculator to find the number of calories based on weight, age, gender, height, along with an activity factor,” says Escobar.
The Schofield Equation is a method of estimating the basal metabolic rate (BMR) of adult men and women published in 1985. [1] This is the equation used by the WHO in their technical report series. [2] The equation that is recommended to estimate BMR by the US Academy of Nutrition and Dietetics is the Mifflin-St. Jeor equation. [3]
The Institute of Medicine Equation was published in September 2002. It is the equation which is behind the 2005 Dietary Guidelines for Americans and the new food pyramid, MyPyramid . The Institute of Medicine equation uses a different approach to most others.
Numerical methods for ordinary differential equations are methods used to find numerical approximations to the solutions of ordinary differential equations (ODEs). Their use is also known as "numerical integration", although this term can also refer to the computation of integrals. Many differential equations cannot be solved exactly.