94) A corresponding analysis of women’s judgments of own-sex fac

94). A corresponding analysis of women’s judgments of own-sex faces also produced a single factor (labeled women’s preference for cues of weight in women’s faces) that explained 83% of the variance in women’s preference scores and was highly correlated with both of the original variables (both r = 0.91). Similar factor analyses were conducted for men’s face

preferences. Analysis of men’s preferences for perceived adiposity and cues of BMI in opposite-sex faces produced a single factor ERK inhibitor libraries (labeled men’s preference for cues of weight in women’s faces) that explained 86% of the variance in men’s preference scores and was highly correlated with both of the original variables (both r = 0.93). A corresponding analysis of men’s judgments of own-sex faces also produced a single factor (labeled

men’s PD-166866 mouse preference for cues of weight in men’s faces) that explained 86% of the variance in men’s preference scores and was highly correlated with both of the original variables (both r = 0.93). These preference scores were used in our main analyses. Higher scores indicate stronger preferences for facial characteristics associated with heavier weight. To test for main effects of TDDS subscales and possible interactions between TDDS subscales and sex of face judged, responses were analyzed using ANCOVAs. Women’s preferences for cues of weight in men’s and women’s faces were analyzed first. Sex of face judged (male, female) was a within-subject factor and pathogen disgust, sexual disgust, and moral disgust were entered simultaneously as covariates. This analysis revealed no significant effects (all F < 1.33, all p > 0.25, all partial η2 < 0.023). However, a corresponding analysis for men’s preferences revealed significant effects

of pathogen disgust (F(1,58) = 5.99, p = 0.017, partial η2 = 0.094) and moral disgust (F(1,58) = 5.73, p = 0.020, partial η2 = 0.090). There were no other significant effects (all F < 1.28, all p > 0.26, all partial η2 < 0.021). To interpret the main effects of pathogen disgust and moral disgust on men’s preferences C1GALT1 we conducted a regression analysis, in which the average of men’s preference for cues of weight in women’s faces and men’s preference for cues of weight in men’s faces was entered as the dependent variable and pathogen disgust and moral disgust were entered simultaneously as predictors. This analysis revealed a significant negative relationship between pathogen disgust and men’s preference for cues of weight (t = −2.52, standardized β = −0.35, p = 0.014) and a significant positive relationship between moral disgust and men’s preference for cues of weight (t = 2.43, standardized β = 0.34, p = 0.018). Including sexual disgust as an additional predictor in this regression analysis did not alter the pattern of results.

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