Original Article
Cross-cultural effects of color, but not morphological masculinity, on perceived attractiveness of men's faces

https://doi.org/10.1016/j.evolhumbehav.2011.10.003Get rights and content

Abstract

Much attractiveness research has focused on face shape. The role of masculinity (which for adults is thought to be a relatively stable shape cue to developmental testosterone levels) in male facial attractiveness has been examined, with mixed results. Recent work on the perception of skin color (a more variable cue to current health status) indicates that increased skin redness, yellowness, and lightness enhance apparent health. It has been suggested that stable cues such as masculinity may be less important to attractiveness judgments than short-term, more variable health cues. We examined associations between male facial attractiveness, masculinity, and skin color in African and Caucasian populations. Masculinity was not found to be associated with attractiveness in either ethnic group. However, skin color was found to be an important predictor of attractiveness judgments, particularly for own-ethnicity faces. Our results suggest that more plastic health cues, such as skin color, are more important than developmental cues such as masculinity. Further, unfamiliarity with natural skin color variation in other ethnic groups may limit observers' ability to utilize these color cues.

Introduction

A number of researchers have examined the aspects of facial appearance that affect perceived attractiveness, focusing primarily on facial shape cues such as symmetry (Perrett et al., 1999) and averageness (Rhodes, Sumich, & Byatt, 1999). Sexual dimorphism in shape has also received much research interest, with studies finding that the femininity of women's faces is closely associated with their rated attractiveness (Perrett et al., 1998, Rhodes, 2006). However, findings regarding the attractiveness of masculine features in male faces have been more mixed.

It has been suggested that facial masculinity should enhance attractiveness in men due to an immunohandicapping effect of testosterone ensuring that only high-quality males can achieve a strongly masculine appearance during development (Hamilton and Zuk, 1982, Lozano, 1994; see Rhodes, 2006). There is some evidence that facial masculinity is associated with levels of circulating testosterone in men (Pound, Penton-Voak, & Surridge, 2009). However, some studies have found that women prefer more feminine male faces (Perrett et al., 1998) or found no preference for masculinity (Rhodes, Chan, Zebrowitz, & Simmons, 2003). Further studies have found that women's preferences for masculinity fluctuate, for example, (a) over the course of the menstrual cycle, with reduced preference for femininity in the follicular (fertile) phase and femininity preferred in the luteal phase (Johnston et al., 2001, Jones et al., 2005; Penton-Voak and Perrett, 2000, Penton-Voak and Perrett, 2001, Penton-Voak et al., 1999, Scarbrough and Johnston, 2005); (b) depending on the type of relationship sought, with masculinity preferred for short-term relationships and femininity preferred for long-term relationships (Little, Cohen, Jones, & Belsky, 2007); (c) dependent on the attractiveness of the woman, with more attractive women preferring more masculine men (Penton-Voak et al., 2003). All of these papers posit a trade-off between gaining the “good genes” benefits of mating with masculine men and the negative personality traits (such as aggression and violence) that are associated with masculine men.

However, although it is possible that, for adult males in many species, aspects of anatomical masculinity may be reliable cues to health status during development, their importance may be limited in the presence of more salient cues to current health. This is particularly likely to be the case in situations where fluctuations in pathogen pressure and health status are rapid relative to host life span (Adamo and Spiteri, 2005, Adamo and Spiteri, 2009, Scott et al., 2010) and female mate choice for multiple cues is constrained (Kokko, Brooks, Jennions, & Morley, 2003). Mathematical models developed recently indicate that, for most animals, females can derive fitness benefits from paying attention to the current condition of potential mates, but may derive little or no additional benefit from attending to cues to past immune function (Adamo and Spiteri, 2005, Adamo and Spiteri, 2009). Consequently, relatively stable traits that are likely not influenced substantially by short-term fluctuations in adult health (e.g., degree of anatomical masculinization; Bulygina, Mitteroecker, & Aiello, 2006) should be of less importance to females than other more condition-dependent cues to current health. Moreover, this tendency should be more pronounced in animals with long life spans and slow reproduction, such as humans (Scott et al., 2010).

Further, recent theoretical work has suggested that the primary selective force driving the evolution of more robust features in male faces may have been intrasexual competition rather than female choice (Puts, 2010). Puts (2010) points out that the high degree of sexual dimorphism in muscle mass (similar to the dimorphism seen in gorillas; Zihlman & MacFarland, 2000) and the ability to control access to females predict that male–male contest competition would have been more important in the evolution of masculine traits than female choice. This prediction is supported by the finding that male sex-typicality on a number of traits, including beard growth (Neave & Shields, 2008), masculine voice (Puts, 2006), masculine face (DeBruine et al., 2006), and brawny build (Frederick & Haselton, 2007), increases ratings of dominance more than it does attractiveness (Puts, 2010). However, women are able to control mating to an extent, for example, by extra-pair copulations, and consequently are predicted to favor males with healthy appearance (Puts, 2010). This adds further to the expectation that men's masculinity will contribute little to attractiveness, with women preferring cues to current health, such as color.

Recent work has shown that the distribution and homogeneity of skin color across the face contributes to perceptions of health, age, and attractiveness of human faces (Fink et al., 2001, Fink et al., 2006, Matts et al., 2007, Stephen and McKeegan, 2010), with more homogenous skin color and chromophore distribution associated with higher-rated attractiveness (Fink et al., 2001, Matts et al., 2007). Overall skin color has also been shown to affect the apparent health—and likely attractiveness (Jones, Little, Burt, & Perrett, 2004)—of human faces, with redder, yellower, and lighter skin appearing healthier (Stephen, Law Smith, Stirrat, & Perrett, 2009). The enhanced healthy appearance obtained from increased skin redness has been attributed to increased skin blood perfusion and oxygenation, which are associated with current cardiac and respiratory health (Stephen, Coetzee, Law Smith, & Perrett, 2009), and the enhanced healthy appearance associated with increased skin yellowness has been attributed to increased levels of carotenoids, which are associated with increased resistance to reactive oxygen species (Dowling and Simmons, 2009, Stephen et al., 2011). It is thought that color provides an indicator of current health since the levels of pigmentation in the skin react rapidly to changes in health status. Skin carotenoid levels change within days in response to changes in dietary intake (Stahl et al., 1998) and parasitic infestation (Koutsos, Calvert, & Klasing, 2003); melanin levels increase in the skin within an hour of exposure (Robins, 1991); blood oxygenation and perfusion change rapidly in response to a number of stimuli, such as exercise and illness (Paxton, Redd, Steketee, Otieno, & Nahlen, 1996).

Scott et al. (2010) have recently shown that masculinity—a possible cue to health status during development—may not be an important predictor of attractiveness when more salient cues to current condition, such as color, are available and that many previous findings may have been dependent largely on the experimental methods employed (e.g., using stimuli in which masculinity has been varied while other cues have been held constant). However, Scott et al. (2010) used relatively wealthy participants from highly developed environments with good access to healthcare for both the stimuli and the choosers. Masculinity preferences have been shown to vary cross-culturally, with masculinity preferred more in countries with lower standards of health than in countries with high standards of health (DeBruine et al., 2010, Penton-Voak et al., 2004, Scott et al., 2008), though this effect may in fact reflect different levels of income inequality, with more masculine features preferred in more unequal countries (Brooks et al., 2010). Potentially, masculinity may be associated with the ability to obtain and defend resources when male–male competition is high (Puts, 2010; as is the case in cultures with high resource inequality), though health standards predict masculinity preference better than do measures of violence within the United States when income inequality is controlled (DeBruine et al., 2011).

Here, we replicate and extend the work of Scott et al. (2010) using two color-calibrated image sets taken from a Caucasian, UK-based population (hereon “Caucasian”) and a black South African population (hereon “African”). South Africa has both lower standards of health than the UK (life expectancy is 80.05 years in the UK compared to 49.33 years in South Africa; Central Intelligence Agency, 2009) and a greater level of wealth inequality (the UK has a Gini coefficient of 34 compared to South Africa's 65; Central Intelligence Agency, 2009). If masculinity is an important cue of either health or access to resources, we would expect that masculinity would have a greater impact on attractiveness ratings in the African sample than in the Caucasian sample. If cues of condition are more important, we would expect that the current health indicator (skin color) would better predict attractiveness than a possible long-term health indicator (masculinity) in both Caucasian and African samples.

It has been shown that individuals are better at recognizing faces of their own ethnic group (O'Toole et al., 1994, Valentine, 1991), possibly because of greater familiarity with own-ethnicity faces (Rhodes et al., 2005). Further, participants rate own-ethnicity faces as more attractive than other-ethnicity faces (Rhodes et al., 2005). Skin color is a trait that varies widely between ethnic groups and is markedly different between Caucasians and Africans. It may be expected that the ability to discriminate between relatively subtle skin color differences will be better when observing own-ethnicity faces than other-ethnicity faces. We predict, therefore, that skin color will predict attractiveness better in own- than in other-ethnicity faces.

Section snippets

Methods

All research was approved by the ethics committees at the University of St Andrews and/or the University of Pretoria, as appropriate.

Results

Table 1 summarizes the results of the linear regression analyses. Linear regressions revealed no role for morphological masculinity in predicting rated attractiveness, as neither the masculinity nor the masculinity squared term remained in the model for faces of either ethnicity, rated by raters of either ethnicity. For Caucasian faces rated by Caucasian raters, greater attractiveness was predicted by increased yellowness (b⁎; β=0.658; p=.032) and decreased lightness (L⁎; β=−0.385; p=.032) of

Discussion

Skin color was found to be an important predictor of facial attractiveness when participants judged faces from their own ethnic group, whereas morphological masculinity was not found to significantly predict attractiveness in own- or other-ethnicity faces. This provides a cross-cultural validation, using color-calibrated images, of the findings of Scott et al. (2010) that cues related to current or recent health (i.e., “state” cues) are more important predictors of facial attractiveness than

Note added in proof

While the regression analysis reported in this paper shows a negative relationship between skin L* and attractiveness for African faces rated by African women, further analysis suggests that this is due to collinearity between the color variables. In this note added in proof, we present an alternative analysis consisting of the following for both Caucasian and African faces rated by Caucasian and African raters. 1) Zero order correlations between attractiveness ratings and color and masculinity

African faces

Significant correlations were found between L* and a* (r=0.880), L* and b* (r=0.952) and a* and b* (r=0.956; all p<0.001). Zero-order correlations show positive relationships between attractiveness rated by African women and L* (r=0.443; p=0.005), a* (r=0.398; p=0.010) and b* (r=0.490; p=0.001). No relationship was found between attractiveness rated by Caucasian participants and L* (r=-0.123; p=0.443), a* (r=-0.049; p=0.761) or b* (r=-0.056; p=0.730). Principal components analysis was therefore

Caucasian faces

For Caucasian faces, attractiveness rated by Caucasian women was significantly correlated with b* (r=0.458; p=0.006), but not with L* (r=-0.118; p=0.506) or a* (r=0.311; p=0.074). Attractiveness rated by African women was significantly correlated with b* (r=0.366; p=0.036), but not L* (r=-0.046; p=0.799) or a* (r=-0.070; p=0.699).

Principal components analysis produced 2 components (using the Kaiser-Guttman criterion). Component 1 showed positive loadings for L* (0.890) and, to a lesser extent,

Summary

In line with the main part of the paper, these new analyses confirm that color is a stronger predictor of attractiveness than structural cues to masculinity in African and Caucasian men’s faces rated by own-ethnicity women. In line with the findings in the main part of this paper, neither masculinity nor color significantly predicted attractiveness of men’s faces rated by other-ethnicity women in the regression analyses.

Acknowledgments

We thank Jaco Grieff for hosting work in South Africa and Lesley Ferrier for logistical support.

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