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Does Masculinity Matter? The Contribution of Masculine Face Shape to Male Attractiveness in Humans

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  • Isabel M L Scott
  • Nicholas Pound
  • Ian D Stephen
  • Andrew P Clark
  • Ian S Penton-Voak

Abstract

Background: In many animals, exaggerated sex-typical male traits are preferred by females, and may be a signal of both past and current disease resistance. The proposal that the same is true in humans – i.e., that masculine men are immunocompetent and attractive – underpins a large literature on facial masculinity preferences. Recently, theoretical models have suggested that current condition may be a better index of mate value than past immunocompetence. This is particularly likely in populations where pathogenic fluctuation is fast relative to host life history. As life history is slow in humans, there is reason to expect that, among humans, condition-dependent traits might contribute more to attractiveness than relatively stable traits such as masculinity. To date, however, there has been little rigorous assessment of whether, in the presence of variation in other cues, masculinity predicts attractiveness or not. Methodology/Principal Findings: The relationship between masculinity and attractiveness was assessed in two samples of male faces. Most previous research has assessed masculinity either with subjective ratings or with simple anatomical measures. Here, we used geometric morphometric techniques to assess facial masculinity, generating a morphological masculinity measure based on a discriminant function that correctly classified >96% faces as male or female. When assessed using this measure, there was no relationship between morphological masculinity and rated attractiveness. In contrast, skin colour – a fluctuating, condition-dependent cue – was a significant predictor of attractiveness. Conclusions/Significance: These findings suggest that facial morphological masculinity may contribute less to men's attractiveness than previously assumed. Our results are consistent with the hypothesis that current condition is more relevant to male mate value than past disease resistance, and hence that temporally fluctuating traits (such as colour) contribute more to male attractiveness than stable cues of sexual dimorphism.

Suggested Citation

  • Isabel M L Scott & Nicholas Pound & Ian D Stephen & Andrew P Clark & Ian S Penton-Voak, 2010. "Does Masculinity Matter? The Contribution of Masculine Face Shape to Male Attractiveness in Humans," PLOS ONE, Public Library of Science, vol. 5(10), pages 1-10, October.
  • Handle: RePEc:plo:pone00:0013585
    DOI: 10.1371/journal.pone.0013585
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    References listed on IDEAS

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    1. J. Gower, 1975. "Generalized procrustes analysis," Psychometrika, Springer;The Psychometric Society, vol. 40(1), pages 33-51, March.
    2. Shelley A. Adamo & Raymond J. Spiteri, 2005. "Female choice for male immunocompetence: when is it worth it?," Behavioral Ecology, International Society for Behavioral Ecology, vol. 16(5), pages 871-879, September.
    3. D. I. Perrett & K. J. Lee & I. Penton-Voak & D. Rowland & S. Yoshikawa & D. M. Burt & S. P. Henzi & D. L. Castles & S. Akamatsu, 1998. "Effects of sexual dimorphism on facial attractiveness," Nature, Nature, vol. 394(6696), pages 884-887, August.
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    Cited by:

    1. Vinet Coetzee & Jaco M Greeff & Ian D Stephen & David I Perrett, 2014. "Cross-Cultural Agreement in Facial Attractiveness Preferences: The Role of Ethnicity and Gender," PLOS ONE, Public Library of Science, vol. 9(7), pages 1-8, July.
    2. Karin Wolffhechel & Amanda C Hahn & Hanne Jarmer & Claire I Fisher & Benedict C Jones & Lisa M DeBruine, 2015. "Testing the Utility of a Data-Driven Approach for Assessing BMI from Face Images," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-10, October.
    3. Daniel E Re & David W Hunter & Vinet Coetzee & Bernard P Tiddeman & Dengke Xiao & Lisa M DeBruine & Benedict C Jones & David I Perrett, 2013. "Looking Like a Leader–Facial Shape Predicts Perceived Height and Leadership Ability," PLOS ONE, Public Library of Science, vol. 8(12), pages 1-10, December.
    4. Philipp Mitteroecker & Sonja Windhager & Gerd B Müller & Katrin Schaefer, 2015. "The Morphometrics of “Masculinity” in Human Faces," PLOS ONE, Public Library of Science, vol. 10(2), pages 1-13, February.
    5. José Antonio Muñoz-Reyes & Marta Iglesias-Julios & Miguel Pita & Enrique Turiegano, 2015. "Facial Features: What Women Perceive as Attractive and What Men Consider Attractive," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-17, July.
    6. Weiqing Zhang & Amanda C Hahn & Ziyi Cai & Anthony J Lee & Iris J Holzleitner & Lisa M DeBruine & Benedict C Jones, 2018. "No evidence that facial width-to-height ratio (fWHR) is associated with women's sexual desire," PLOS ONE, Public Library of Science, vol. 13(7), pages 1-7, July.
    7. Santiago Sanchez-Pages & Claudia Rodriguez-Ruiz & Enrique Turiegano, 2014. "Facial Masculinity: How the Choice of Measurement Method Enables to Detect Its Influence on Behaviour," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-10, November.
    8. Barnaby JW Dixson & Anthony C Little & Henry GW Dixson & Robert C Brooks, 2017. "Do prevailing environmental factors influence human preferences for facial morphology?," Behavioral Ecology, International Society for Behavioral Ecology, vol. 28(5), pages 1217-1227.

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