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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:
Compared to males, females generally have relatively narrow waists and large buttocks, [54] and this along with wide hips make for a wider hip section and a lower waist–hip ratio. [55] Research shows that a waist–hip ratio (WHR) for a female very strongly correlates to the perception of attractiveness. [56]
the ratio of hip circumference to shoulder circumference varies by biological sex: the average ratio for women is 1:1.03, for men it is 1:1.18. [9] legs (floor to crotch, which are typically three-and-a-half to four heads long; arms about three heads long; hands are as long as the face. [10]
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.
Research indicates that men have a marked preference for women who have the hourglass figure. These studies found that this shape was even more highly preferred than breast size or facial features. While it is true that most men were initially drawn to a woman's cleavage, it was her hips and waist that were what they found the most attractive. [21]
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.
In a comparison study with BMI and five other metrics – a body shape index, conicity index, body adiposity index, waist–hip ratio, and abdominal volume index (AVI) – BRI and AVI proved most effective at predicting risk of developing nonalcoholic fatty liver disease (NAFLD). [6]
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