Department of Prosthodontics, Atatürk University, Erzurum, Turkey.
J Esthet Restor Dent. 2012 Oct;24(5):335-43. doi: 10.1111/j.1708-8240.2012.00511.x. Epub 2012 Apr 24.
Understanding the distribution of incisal translucency will provide clinicians a guide to use this knowledge to improve the esthetic replication of anterior restorations. The aim of this study is to investigate the distribution of incisal translucency of unrestored vital natural maxillary central, lateral, and canine vital teeth from a stratified population in different age, gender, and race.
A total of 120 subjects were recruited for this study. Six subjects with equal gender balance from four racial/ethnic groups (White, Black, Asian, and others) were recruited from each of the following age groups: 18 to 29 years, 30 to 39 years, 40 to 49 years, 50 to 59 years, and 60 to 85 years. Potential subjects were clinically screened to determine if three specific anterior teeth (maxillary central incisor, lateral incisor, and canine) were non-restored, natural permanent teeth free from external staining or bleaching. A digital imaging and shade analysis device was used to measure tooth translucency.
Statistically significant interaction (p < 0.001) was found for the groups. The interaction between race and gender was not statistically significant (p = 0.485). However, the interaction between race and age (p = 0.03), age and gender (p = 0.015), and among age, race, and gender (p < 0.001) was found statistically significant according to the analysis of variance test results. The interaction between race and gender was not statistically significant (p = 0.485).
了解切缘半透明度的分布情况可以为临床医生提供指导，帮助他们利用这一知识提高前牙修复体的美观效果。本研究旨在调查不同年龄、性别和种族的未修复活髓天然上颌中切牙、侧切牙和尖牙的切缘半透明度分布情况。
本研究共招募了 120 名受试者。从四个种族/民族群体（白种人、黑种人、亚洲人和其他人）中，每个年龄组（18-29 岁、30-39 岁、40-49 岁、50-59 岁和 60-85 岁）各招募 6 名性别均衡的受试者。对潜在受试者进行临床筛选，以确定是否有三颗特定的前牙（上颌中切牙、侧切牙和尖牙）为未经修复、无外部染色或漂白的天然永久性牙齿。使用数字成像和比色分析设备来测量牙齿的半透明度。
对各组进行统计分析发现存在显著的交互作用（p<0.001）。种族和性别之间的交互作用不具有统计学意义（p=0.485）。然而，根据方差分析检验结果，种族和年龄（p=0.03）、年龄和性别（p=0.015）以及年龄、种族和性别之间的交互作用具有统计学意义（p<0.001）。种族和性别之间的交互作用不具有统计学意义（p=0.485）。
