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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.
Thus, more muscle with a small waist circumference leads to a better risk classification. This is a significant difference to BMI. The following diagram shows the progression of risk groups as a function of weight and waist circumference using the example of a 35-year-old man. ABSIz risk groups in waist circumference over weight.
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:
Date/Time Thumbnail Dimensions User Comment; current: 01:17, 30 October 2024: 512 × 256 (7 KB): Cmglee {{Information |Description=Graphs of waist-to-height ratio (dotted grey) and body roundness index (solid black) vs height (vertical axis) vs waist circumference (horizontal axis) by CMG Lee. |Source={{own}} |Date= |Author= Cmglee |Permission= |other_versions={{source thumb|waist_to_height ...
Breast volume will have an effect on the perception of a woman's figure even when bust/waist/hip measurements are nominally the same. Brassière band size is measured below the breasts, not at the bust. A woman with measurements of 36A–27–38 will have a different presentation than a woman with measurements of 34C–27–38.
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]
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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 ]