LOWER WAIST-TO-HIP, WAIST-TO-STATURE, AND WAIST-TO-BUST RATIOS PREDICT HIGHER RANKINGS OF PLUS-SIZE MODELS IN A NATURALISTIC CONDITION

Abstract

Previous research suggests that waist-to-hip ratio (WHR), waist-to-stature ratio (WSR), and waist-to-bust ratio (WBR) serve as cues of health and fertility in women, influencing the viewers’ perception of attractiveness. However, it is unclear to what extent these findings can be applied to the perception of female attractiveness in a naturalistic condition or in women with a higher body mass index. In this study, we tested whether lower WHR, WSR, and WBR increased the perceived attractiveness of plus-size models in a naturalistic condition. The WHR, WSR, and WBR were computed via biometric data (height, bust, waist, and hip measurements) of 49 U.S. plus-size models who have been listed on ranker.com. The photographs of these models have been viewed 2.60 million times and voted 146,000 times. The perception of attractiveness was operationalized as rankings, generated from the relative number of upvotes and downvotes from site visitors. Spearman correlations showed that lower WHR, WSR, and WBR were all positively correlated with higher rankings. In a subsequent ordinal logistic regression, only WSR and WBR remained as significant predictors of rankings. The principal component regression also revealed that the latent body component of WHR, WSR, and WBR predicted rankings of the models.These findings cannot be accounted by the models’ general popularity or their anthropometric measures being similar to other types of models’ (e.g., fashion, glamor, playboy, and adult film models). Our findings suggest that smaller WHR, WSR, and WBR influence the perception of female attractiveness in a naturalistic condition, even among plus-size models.