Department of Clinical and Translational Medicine, Tor Vergata University of Rome, Rome, Italy.
Department of Surgical Sciences, Catholic University of Our Lady of Good Counsel of Tirane, Tirana, Albania.
J Esthet Restor Dent. 2020 Jan;32(1):57-63. doi: 10.1111/jerd.12543. Epub 2019 Nov 6.
The purpose of this clinical study was to determine if skin tone and tooth color had the same influence on smile attractiveness.
A woman's smile photograph was digitally manipulated to create a range of images with varying colors. The skin shade was modified to create four tones (p1: light, p2: light medium, p3: medium dark, p4: dark) using the L'Oreal True Illusion shade as a guide. The tooth shade was modified in four different tones: A1, A2, A3, A4 using the VITAPAN Classical shade guide to produce 16 images. A sample of 328 participants rated each image for attractiveness by means of a visual analog scale (VAS). Comparison among groups was performed with a 2-way ANOVA adjusted for multiple comparisons with the Bonferroni test (α = .05).
Image (p3-a1) showed the highest VAS values, while image (p1-a4) obtained the lowest, (Bonferroni Test: a1 vs a2, a3, a4 P < .001; p3 vs p1, p2, p4 P < .001). Analysis performed for age, sex, level of education, and laypeople/dentists were not statistically significant (P > .05).
Variations in tooth and skin tone can significantly influence the perception of smile attractiveness. In the tested conditions, a brighter tooth shade significantly affected the attractiveness of the smile independently from skin tone.
Understanding patient and dentist perception of the attractiveness of a smile with the important role-played by skin tone, may help clinicians to better identify teeth shade, helping delivery of tailored prostheses and esthetic restorations.
本临床研究旨在确定肤色和牙齿颜色是否对笑容吸引力有相同的影响。
通过数字方式处理一位女性的微笑照片,以创建具有不同颜色的一系列图像。使用欧莱雅真幻影色调指南修改肤色色调,创建四个色调(p1:浅,p2:浅中,p3:中深,p4:深)。使用 VITAPAN 经典色调指南修改牙齿色调,将色调修改为四个不同的色调:A1、A2、A3、A4,生成 16 个图像。通过视觉模拟量表(VAS)对每个图像的吸引力进行评价。使用 2 向方差分析(ANOVA)对组间进行比较,并使用 Bonferroni 检验进行多重比较调整(α=0.05)。
图像(p3-a1)显示出最高的 VAS 值,而图像(p1-a4)获得最低值(Bonferroni 检验:a1 与 a2、a3、a4 相比 P<0.001;p3 与 p1、p2、p4 相比 P<0.001)。对年龄、性别、教育水平、非专业人士/牙医进行的分析没有统计学意义(P>0.05)。
牙齿和肤色色调的变化会显著影响笑容吸引力的感知。在测试条件下,更亮的牙齿色调会显著影响笑容的吸引力,而与肤色无关。
了解患者和牙医对微笑吸引力的感知,肤色起着重要作用,这有助于临床医生更好地识别牙齿色调,从而帮助定制义齿和美学修复体。