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根据美国正畸委员会的标准对患者的微笑吸引力进行评级。

Rating of smile attractiveness of patients finished to the American Board of Orthodontics standards.

作者信息

Kau Chung How, Christou Terpsithea, Xie Rong Bing, Abou-Saleh Tayem

机构信息

Department of Orthodontics, University of Alabama Birmingham, 1919 7th Ave. South, 35294, Birmingham, AL, USA.

Division of Cardiothoracic Surgery, Department of Surgery, University of Alabama Birmingham, ZRB 739 | 703 19th St. South, 35294, Birmingham, AL, USA.

出版信息

J Orofac Orthop. 2020 Jul;81(4):239-248. doi: 10.1007/s00056-020-00228-4. Epub 2020 May 11.

Abstract

BACKGROUND

This study collected 68 smiling photos of cases taken to American Board of Orthodontics clinical exam and were considered as successfully treated.

MATERIALS AND METHODS

A panel of 52 raters from different specialties and laypeople were asked to rate the smile attractiveness on a scale from 1-10 and to also choose what components made the smile less attractive. Simple descriptive statistics were used to determine the mean, standard deviations, and quartiles of the smile attractiveness. Multilinear regression (MLR) analysis was used to examine the relationship of smile attractiveness when the variables of age, professional experience, and gender of the raters were considered. Receiver operating characteristic (ROC) was created to correlate the association between smile attractiveness and the perfect smile.

RESULTS

The mean rating of each picture ranged from 3.42 ± 1.83 (least attractive smile) to 8.46 ± 1.59 (most attractive smile). The overall mean for smile attractiveness was 6.23 ± 1.09; additionally, it was found that problematic teeth, gum, and lips reduce the smile attractiveness score by 1.7, 1.7, and 1.2, respectively.

CONCLUSION

The study showed that only 2 out of 68 American Board of Orthodontics treatment finishes had an attractive and perfect smile.

摘要

背景

本研究收集了68张用于美国正畸委员会临床考试的病例微笑照片,这些病例被认为治疗成功。

材料与方法

邀请了一个由52名来自不同专业的评估者和外行人组成的小组,让他们对微笑吸引力进行1至10分的评分,并选择使微笑吸引力降低的组成部分。使用简单描述性统计来确定微笑吸引力的均值、标准差和四分位数。当考虑评估者的年龄、专业经验和性别变量时,使用多元线性回归(MLR)分析来检验微笑吸引力之间的关系。创建受试者工作特征(ROC)曲线以关联微笑吸引力与完美微笑之间的关联。

结果

每张照片的平均评分范围为3.42±1.83(最不具吸引力的微笑)至8.46±1.59(最具吸引力的微笑)。微笑吸引力的总体均值为6.23±1.09;此外,发现有问题的牙齿、牙龈和嘴唇分别使微笑吸引力得分降低1.7、1.7和1.2。

结论

该研究表明,在美国正畸委员会的68例治疗完成病例中,只有2例拥有有吸引力且完美的微笑。

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