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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.
[1] [2] Thomas visualized the human body shape as an egg or ellipse rather than as the cylinder model that is envisioned in the concept of the BMI. [1] [2] The degree of circularity of an ellipse is quantified by eccentricity, with values between 0 to 1, where 0 is a perfect circle (waist circumference same as height) and 1 is a vertical line. [1]
However, this method gives highly reproducible results for individual persons (± 1%), unlike the methods discussed below, which can have an uncertainty of 10%, or more. The body fat percentage is commonly calculated from one of two formulas (ρ represents density in g/cm 3): Brozek formula: BF=(4.57/ρ − 4.142) × 100 [14]
BMI. BMI measures a person’s weight compared to their height. It’s a simple division equation. Since it’s such a quick and easy way to get a rough idea of whether you have a healthy weight ...
That said, there is an association with a higher BMI and an increased risk for things like heart disease, high blood pressure, type 2 diabetes, gallstones, and cancers, according to the National ...
Relative Fat Mass (RFM) is a simple formula for the estimation of overweight or obesity in humans that requires only a calculation based on a ratio of height and waist measurements. [ 1 ] High body fat is associated with increased risks of poor health and early mortality. [ 2 ]
The scaling factor of 1.3 was determined to make the proposed new BMI formula align with the traditional BMI formula for adults of average height, while the exponent of 2.5 is a compromise between the exponent of 2 in the traditional formula for BMI and the exponent of 3 that would be expected for the scaling of weight (which at constant ...
BMI is an accurate reflection of body fat percentage in the majority of the adult population. However it is less accurate in people such as body builders and pregnant women. [13] A formula combining BMI, age, and gender can be used to estimate a person's body fat percentage to an accuracy of 4%. [14]
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