title: The influence of craniofacial to standing height proportion on perceived attractiveness.
abstract: An idealised male image, based on Vitruvian Man, was created. The craniofacial height was altered from a proportion of 1/6 to 1/10 of standing height, creating 10 images shown in random order to 89 observers (74 lay people; 15 clinicians), who ranked the images from the most to the least attractive. The main outcome was the preference ranks of image attractiveness given by the observers. Linear regressions were used to assess what influences the choice for the most and the least attractive images, followed by a multivariate rank ordinal logistic regression to test the influence of age, gender, ethnicity and professional status of the observer. A craniofacial height to standing height proportion of 1/7.5 was perceived as the most attractive (36%), followed by a proportion of 1/8 (26%). The images chosen as most attractive by more than 10% of observers had a mean proportion of 1/7.8(min=1/7; max=1/8.5). The images perceived as most unattractive had a proportion of 1/6 and 1/10. The choice of images was not influenced by the age, gender, ethnicity or professional status of the observers. The ideal craniofacial height to standing height proportion is in the range 1/7 to 1/8.5. This finding should be considered when planning treatment to alter craniofacial or facial height.
authors.affiliation: Department of Orthodontics, St George's Hospital, United Kingdom. Farhad.Naini@yahoo.co.uk
authors.forename: F B
authors.initials: FB
authors.lastname: Naini
authors.forename: M T
authors.initials: MT
authors.lastname: Cobourne
authors.forename: F
authors.initials: F
authors.lastname: McDonald
authors.forename: A N A
authors.initials: AN
authors.lastname: Donaldson
mesh_terms: D000328:Adult; D000367:Age Factors; D000716:Anatomy, Artistic; D000886:Anthropometry; D044466:Asian People; D001290:Attitude; D001291:Attitude of Health Personnel; D001504:Beauty; D044383:Black People; D001827:Body Height; D002508:Cephalometry; D005006:Ethnicity; D005145:Face / Q000033:anatomy & histology*; D005260:Female; D006282:Health Personnel; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods; D008297:Male; D012737:Sex Factors; D044465:White People