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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] To accommodate human shape data in a greater range, Thomas and colleagues mapped eccentricity in a range of 1 to 20 by using the equation: [ 1 ]
In human body measurement, these three sizes are the circumferences of the bust, waist and hips; usually rendered as xx–yy–zz in inches, or centimeters. The three sizes are used mostly in fashion, and almost exclusively in reference to women, [1] who, compared to men, are more likely to have a narrow waist relative to their hips.
You can calculate how much body fat you have in a few ways — such as with skinfold measurements, waist circumference measurements or a dual-energy X-ray absorptiometry (DEXA) scan ...
The waist–hip ratio or waist-to-hip ratio (WHR) is the dimensionless ratio of the circumference of the waist to that of the hips. This is calculated as waist measurement divided by hip measurement (W ⁄ H). For example, a person with a 75 cm waist and 95 cm hips (or a 30-inch waist and 38-inch hips) has WHR of about 0.79.
To calculate BMI, divide your weight in pounds by your height in inches squared, then multiply that result by 703. ... Another way is to measure your waist circumference by placing a tape measure ...
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]
Classifications of female body sizes are mainly based on the circumference of the bust–waist–hip , as in 90-60-90 (centimeters) or 36–24–36 (inches) respectively. In this case, the waist–hip ratio is 60/90 or 24/36 = 0.67. Many terms or classifications are used to describe body shape types:
The BAI is calculated as: [2] Hip circumference (Pearson correlation coefficient, R = 0.602) and height (R = −0.524) are strongly correlated with percentage of body fat.. Comparing BAI with "gold standard" dual-energy X-ray absorptiometry (DXA) results, the correlation between DXA-derived percentage of adiposity and the BAI in a target population was R = 0.85, with a concordance of C_b = 0