Literature DB >> 11282308

Facial attractiveness signals different aspects of "quality" in women and men.

D K. Hume1, R Montgomerie.   

Abstract

We explored the relationships between facial attractiveness and several variables thought to be related to genotypic and phenotypic quality in humans (namely fluctuating asymmetry (FA), body mass index (BMI), health, age). To help resolve some controversy around previous studies, we used consistent measurement and statistical methods and relatively large samples of both female (n=94) and male (n=95) subjects (to be evaluated and measured), and female (n=226) and male (n=153) viewers (to rate attractiveness). We measured the asymmetry of 22 traits from three trait families (eight facial, nine body and five fingerprint traits) and constructed composite asymmetry indices of traits showing significant repeatability. Facial attractiveness was negatively related to an overall asymmetry index in both females and males, with almost identical slopes. Female facial attractiveness was best predicted by BMI and past health problems, whereas male facial attractiveness was best predicted by the socioeconomic status (SES) of their rearing environment. Composite FA indices accounted for a small (<4%) but usually significant percentage of the variation in facial attractiveness in both sexes, when factors related to asymmetry were controlled statistically. We conclude that, although facial attractiveness is negatively related to developmental instability (as measured by asymmetry), attractiveness also signals different aspects of "quality" in the two sexes, independent of FA.

Entities:  

Year:  2001        PMID: 11282308     DOI: 10.1016/s1090-5138(00)00065-9

Source DB:  PubMed          Journal:  Evol Hum Behav        ISSN: 1090-5138            Impact factor:   4.178


  31 in total

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8.  Estimating the sex-specific effects of genes on facial attractiveness and sexual dimorphism.

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9.  Differences in Expressivity Based on Attractiveness: Target or Perceiver Effects?

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10.  Does genetic diversity predict health in humans?

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