Abdominal depth and waist circumference as influential determinants of human female attractiveness

被引:41
作者
Rilling, James K. [1 ,2 ,3 ]
Kaufman, Torrey L.
Smith, E. O.
Patel, Rajan [4 ]
Worthman, Carol M.
机构
[1] Emory Univ, Dept Anthropol, Dept Psychiat & Behav Sci, Sch Med, Atlanta, GA 30322 USA
[2] Emory Univ, Ctr Behav Neurosci, Atlanta, GA 30322 USA
[3] Yerkes Natl Primate Res Ctr, Div Psychobiol, Atlanta, GA USA
[4] Emory Univ, Dept Biostat, Atlanta, GA 30322 USA
关键词
Anthropometry; Attractiveness; Waist-to-hip ratio; TO-HIP RATIOS; PREFERENCES; LENGTH; BEAUTY; BODY; FAT; EVOLUTION; FORM;
D O I
10.1016/j.evolhumbehav.2008.08.007
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
previous research based largely on two-dimensional (2D) line drawings and picture stimuli has established that both body mass index (BMI) and waist-to-hip ratio (WHR) influence the perceived attractiveness of human female bodies. Here, we extend these studies by (1) creating a more ecologically valid stimulus set consisting of 3D videos and 2D still shots from real female "models" rotating in space, and (2) measuring and examining the influence of several additional anthropometric variables that previously have not been considered. Multiple linear regression analysis revealed that the depth of the lower torso at the umbilicus, or abdominal depth, and waist circumference were the strongest predictors of attractiveness, stronger than either BMI or WHR. Women with shallow abdominal depth and small waist circumference are more likely to be healthy and nonpregnant, suggesting that this may be an adaptive male preference that has been shaped by natural selection. Leg length was a consistent positive predictor of attractiveness, perhaps because it has been correlated with biomechanical efficacy or healthy prepubertal growth that is unhindered by nutritional or energetic deficiency. Our results show that conclusions regarding anthropometric predictors of attractiveness are influenced by the visual perspective of the perceiver, as well as the anthropometric variables considered for analysis. (C) 2009 Elsevier Inc. All rights reserved.
引用
收藏
页码:21 / 31
页数:11
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