IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0013585.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0013585
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0013585&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0013585?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    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. 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.
    5. 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.
    6. 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.
    7. 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.
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Meyners, Michael & Qannari, El Mostafa, 2001. "Relating principal component analysis on merged data sets to a regression approach," Technical Reports 2001,47, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    2. Juliana Martins Ruzante & Valerie J. Davidson & Julie Caswell & Aamir Fazil & John A. L. Cranfield & Spencer J. Henson & Sven M. Anders & Claudia Schmidt & Jeffrey M. Farber, 2010. "A Multifactorial Risk Prioritization Framework for Foodborne Pathogens," Risk Analysis, John Wiley & Sons, vol. 30(5), pages 724-742, May.
    3. Barbara McGillivray & Gard B. Jenset & Khalid Salama & Donna Schut, 2022. "Investigating patterns of change, stability, and interaction among scientific disciplines using embeddings," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-15, December.
    4. Wei Wang & Stephen J Lycett & Noreen von Cramon-Taubadel & Jennie J H Jin & Christopher J Bae, 2012. "Comparison of Handaxes from Bose Basin (China) and the Western Acheulean Indicates Convergence of Form, Not Cognitive Differences," PLOS ONE, Public Library of Science, vol. 7(4), pages 1-7, April.
    5. Francisco B. Galarza & Gustavo Yamada, 2017. "Triple penalty in employment access: The role of beauty, race, and sex," Journal of Applied Economics, Universidad del CEMA, vol. 20, pages 29-47, May.
    6. Lisa Sakamoto & Hiromi Kajiya-Kanegae & Koji Noshita & Hideki Takanashi & Masaaki Kobayashi & Toru Kudo & Kentaro Yano & Tsuyoshi Tokunaga & Nobuhiro Tsutsumi & Hiroyoshi Iwata, 2019. "Comparison of shape quantification methods for genomic prediction, and genome-wide association study of sorghum seed morphology," PLOS ONE, Public Library of Science, vol. 14(11), pages 1-15, November.
    7. Mardia, Kanti V. & Wiechers, Henrik & Eltzner, Benjamin & Huckemann, Stephan F., 2022. "Principal component analysis and clustering on manifolds," Journal of Multivariate Analysis, Elsevier, vol. 188(C).
    8. Ibrahim, Muhammad Sohail & Dong, Wei & Yang, Qiang, 2020. "Machine learning driven smart electric power systems: Current trends and new perspectives," Applied Energy, Elsevier, vol. 272(C).
    9. John Gower & Garmt Dijksterhuis, 1994. "Multivariate analysis of coffee images: A study in the simultaneous display of multivariate quantitative and qualitative variables for several assessors," Quality & Quantity: International Journal of Methodology, Springer, vol. 28(2), pages 165-184, May.
    10. Jeanne Bovet & Michel Raymond, 2015. "Preferred Women’s Waist-to-Hip Ratio Variation over the Last 2,500 Years," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-13, April.
    11. Modroño Herrán, Juan Ignacio & Fernández Aguirre, María Carmen & Landaluce Calvo, M. Isabel, 2003. "Una propuesta para el análisis de tablas múltiples," BILTOKI 1134-8984, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).
    12. Peter Verboon & Willem Heiser, 1992. "Resistant orthogonal procrustes analysis," Journal of Classification, Springer;The Classification Society, vol. 9(2), pages 237-256, December.
    13. Jin-Ying Zhuang & Sen Zhang & Jing Xu & Die Hu, 2014. "Discriminating Males and Unpredictable Females: Males Differentiate Self-Similar Facial Cues More than Females in the Judgment of Opposite-Sex Attractiveness," PLOS ONE, Public Library of Science, vol. 9(3), pages 1-9, March.
    14. Dahl, Tobias & Naes, Tormod, 2006. "A bridge between Tucker-1 and Carroll's generalized canonical analysis," Computational Statistics & Data Analysis, Elsevier, vol. 50(11), pages 3086-3098, July.
    15. Young-Jin Kwon & Do-Hyun Kim & Byung-Chang Son & Kyoung-Ho Choi & Sungbok Kwak & Taehong Kim, 2022. "A Work-Related Musculoskeletal Disorders (WMSDs) Risk-Assessment System Using a Single-View Pose Estimation Model," IJERPH, MDPI, vol. 19(16), pages 1-19, August.
    16. V Alex Sotola & Cody A Craig & Peter J Pfaff & Jeremy D Maikoetter & Noland H Martin & Timothy H Bonner, 2019. "Effect of preservation on fish morphology over time: Implications for morphological studies," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-16, March.
    17. Thomas W. Davies & Philipp Gunz & Fred Spoor & Zeresenay Alemseged & Agness Gidna & Jean-Jacques Hublin & William H. Kimbel & Ottmar Kullmer & William P. Plummer & Clément Zanolli & Matthew M. Skinner, 2024. "Dental morphology in Homo habilis and its implications for the evolution of early Homo," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    18. Huckemann, Stephan & Hotz, Thomas, 2009. "Principal component geodesics for planar shape spaces," Journal of Multivariate Analysis, Elsevier, vol. 100(4), pages 699-714, April.
    19. Erdem, Seda & Rigby, Dan, 2011. "Using Best Worst Scaling To Investigate Perceptions Of Control & Concern Over Food And Non-Food Risks," 85th Annual Conference, April 18-20, 2011, Warwick University, Coventry, UK 108790, Agricultural Economics Society.
    20. Ian L. Dryden & Jonathan D. Hirst & James L. Melville, 2007. "Statistical Analysis of Unlabeled Point Sets: Comparing Molecules in Chemoinformatics," Biometrics, The International Biometric Society, vol. 63(1), pages 237-251, March.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0013585. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.