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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 waist-to-height ratio (WHtR, [a] or WSR: waist-to-stature ratio) is the waist circumference divided by body height, both measured in the same units. WHtR is a measure of the distribution of body fat. Higher values of WHtR indicate higher risk of obesity-related cardiovascular diseases, which are correlated with abdominal obesity. [1]
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.
Body roundness index (BRI) is a calculated geometric index used to quantify an aspect of a person's individual body shape.Based on the principle of body eccentricity, it provides a rapid visual and anthropometric tool for health evaluation.
Human body weight is a person's mass or weight.. Strictly speaking, body weight is the measurement of mass without items located on the person. Practically though, body weight may be measured with clothes on, but without shoes or heavy accessories such as mobile phones and wallets, and using manual or digital weighing scales.
Beyond this, 60 percent of the women in this group had an abdominal circumference of almost 35 inches or more, which could increase their risk of developing certain health conditions.
Resting metabolic rate generally composes 60 to 75 percent of TDEE. [1] Because adipose tissue does not use much energy to maintain, fat free mass is a better predictor of metabolic rate. A taller person will typically have less fat mass than a shorter person at the same weight and therefore burn more energy.
In the early 1970s, computer technology enabled on-site data processing, some real-time analysis, and even graphical displays of metabolic variables, such as O 2, CO 2, and air-flow, thereby encouraging academic institutions to test accuracy and precision in new ways.