Literature DB >> 18405813

Evaluation of facial attractiveness from end-of-treatment facial photographs.

Roxanne Shafiee1, Edward L Korn, Helmer Pearson, Robert L Boyd, Sheldon Baumrind.   

Abstract

INTRODUCTION: Orthodontists typically make judgments of facial attractiveness by examining groupings of profile, full-face, and smiling photographs considered together as a "triplet." The primary objective of this study was to determine the relative contributions of the 3 photographs-each considered separately-to the overall judgment a clinician forms by examining the combination of the 3.
METHODS: End-of-treatment triplet orthodontic photographs of 45 randomly selected orthodontic patients were duplicated. Copies of the profile, full-face, and smiling images were generated, and the images were separated and then pooled by image type for all subjects. Ten judges ranked the 45 photographs of each image type for facial attractiveness in groups of 9 to 12, from "most attractive" to "least attractive." Each judge also ranked the triplet groupings for the same 45 subjects. The mean attractiveness rankings for each type of photograph were then correlated with the mean rankings of each other and the triplets.
RESULTS: The rankings of the 3 image types correlated highly with each other and the rankings of the triplets (P <.0001). The rankings of the smiling photographs were most predictive of the rankings of the triplets (r = 0.93); those of the profile photographs were the least predictive (r = 0.76). The difference between these correlations was highly statistically significant (P = .0003). It was also possible to test the extent to which the judges' rankings were influenced by sex, original Angle classification, and extraction status of each patient. No statistically significant preferences were found for sex or Angle classification, and only 1 marginally significant preference was found for extraction pattern.
CONCLUSIONS: Clinician judges demonstrated a high level of agreement in ranking the facial attractiveness of profile, full-face, and smiling photographs of a group of orthodontically treated patients whose actual differences in physical dimensions were relatively small. The judges' rankings of the smiling photographs were significantly better predictors of their rankings of the triplet of each patient than were their rankings of the profile photographs.

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Year:  2008        PMID: 18405813     DOI: 10.1016/j.ajodo.2006.04.048

Source DB:  PubMed          Journal:  Am J Orthod Dentofacial Orthop        ISSN: 0889-5406            Impact factor:   2.650


  7 in total

1.  Visual attention during the evaluation of facial attractiveness is influenced by facial angles and smile.

Authors:  Seol Hee Kim; Soonshin Hwang; Yeon-Ju Hong; Jae-Jin Kim; Kyung-Ho Kim; Chooryung J Chung
Journal:  Angle Orthod       Date:  2018-01-29       Impact factor: 2.079

2.  Facial-profile attractiveness changes in adult patients treated with the Herbst appliance.

Authors:  J von Bremen; C Erbe; H Pancherz; S Ruf
Journal:  J Orofac Orthop       Date:  2014-05-15       Impact factor: 1.938

3.  Patients' self-perception of dentofacial attractiveness before and after exposure to facial photographs.

Authors:  Giulio Alessandri Bonetti; Andrea Alberti; Claudio Sartini; Serena Incerti Parenti
Journal:  Angle Orthod       Date:  2011-02-07       Impact factor: 2.079

4.  The Relationship between Posttreatment Smile Esthetics and the ABO Objective Grading System: Class I Extraction versus Non-Extraction Cases.

Authors:  Vagdevi Hosur Kantharaju; Gowdara Shivaprakash; Naveen Shamnur
Journal:  Turk J Orthod       Date:  2020-12-02

5.  Evaluation of the relationship between upper incisor exposure and cephalometric variables in Korean young adults.

Authors:  Sung-Hoon Han; Eon-Hwa Lee; Jin-Hyoung Cho; Jong-Moon Chae; Sang-Cheol Kim; Na-Young Chang; Kyung-Hwa Kang
Journal:  Korean J Orthod       Date:  2013-10-25       Impact factor: 1.372

6.  Total intrusion and distalization of the maxillary arch to improve smile esthetics.

Authors:  Eui Seon Baek; Soonshin Hwang; Kyung-Ho Kim; Chooryung J Chung
Journal:  Korean J Orthod       Date:  2016-12-19       Impact factor: 1.372

7.  Evaluation of facial attractiveness for patients with malocclusion: a machine-learning technique employing Procrustes.

Authors:  Xiaonan Yu; Bin Liu; Yuru Pei; Tianmin Xu
Journal:  Angle Orthod       Date:  2013-10-03       Impact factor: 2.079

  7 in total

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