One of the major goals of the 3D Facial Norms Project is to create a large publically available database of 3D facial images and measurements from healthy human subjects. This dataset provides an unparalleled opportunity for the study of human facial shape. The current sample size of almost 1,000 subjects allows us to immediately address questions on a range of topics, including sexual dimorphism and changes over the lifespan. Anthropologists have long known that the human facial shape is sexually dimorphic; our question is: when does facial sexual dimorphism present itself during ontogeny? We broke our sample into three age groups, 19–40 (n = 722), 11–18 (n = 90) and 3–10 (n = 119). These groups represent roughly before, during and after puberty. We hypothesize that facial differences between the sexes would first emerge in the 11–18 group and become more divergent in the 19 – 40 group. Shape was assessed using geometric morphometrics. The results indicate that sexual dimorphism is detectable even in the youngest group (Procrustes distance (P‐dist) between male and female mean shapes: 0.0148, p = 0.017). The means shapes are also different between males and females among the 11–18 age group (P‐dist = 0.0208, p < 0.0001) and the difference is largest in the adult sample (P‐dist = 0.0215, p < 0.0001). These results have implications on our understanding of the drivers of sexual dimorphism in human faces.Grant Funding Source: This work was supported by NIH Grant number 1U01DE020078 to SMW
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