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用于人类面部皮肤和嘴唇的拟议比色指南:一项初步研究。

Proposed shade guide for human facial skin and lip: a pilot study.

机构信息

Maxillofacial Prosthodontics, Department of Prosthodontics, Creighton University School of Dentistry, Omaha, NE 68178, USA.

出版信息

J Prosthet Dent. 2013 Aug;110(2):82-9. doi: 10.1016/S0022-3913(13)60344-3.

DOI:10.1016/S0022-3913(13)60344-3
PMID:23929369
Abstract

STATEMENT OF PROBLEM

Currently, no commercially available facial shade guide exists in the United States for the fabrication of facial prostheses.

PURPOSE

The purpose of this study was to measure facial skin and lip color in a human population sample stratified by age, gender, and race. Clustering analysis was used to determine optimal color coordinates for a proposed facial shade guide.

MATERIAL AND METHODS

Participants (n=119) were recruited from 4 racial/ethnic groups, 5 age groups, and both genders. Reflectance measurements of participants' noses and lower lips were made by using a spectroradiometer and xenon arc lamp with a 45/0 optical configuration. Repeated measures ANOVA (α=.05), to identify skin and lip color differences, resulting from race, age, gender, and location, and a hierarchical clustering analysis, to identify clusters of skin colors) were used.

RESULTS

Significant contributors to Lab* facial color were race and facial location (P<.01). b* affected all factors (P<.05). Age affected only b* (P<.001), while gender affected only L* (P<.05) and b* (P<.05). Analyses identified 5 clusters of skin color.

CONCLUSIONS

The study showed that skin color caused by age and gender primarily occurred within the yellow-blue axis. A significant lightness difference between gender groups was also found. Clustering analysis identified 5 distinct skin shade tabs.

摘要

问题陈述

目前,美国没有商业化的面部色调指南可用于制作面部假体。

目的

本研究的目的是测量按年龄、性别和种族分层的人群样本中的面部皮肤和唇色。聚类分析用于确定拟议面部色调指南的最佳颜色坐标。

材料和方法

从 4 个种族/民族群体、5 个年龄组和两性中招募参与者(n=119)。使用分光光度计和氙弧灯(45/0 光学配置)对参与者的鼻子和下唇进行反射率测量。采用重复测量方差分析(α=.05),以确定种族、年龄、性别和位置导致的皮肤和唇色差异,以及层次聚类分析,以确定肤色聚类。

结果

面部颜色的 Lab的主要贡献因素是种族和面部位置(P<.01)。b 影响所有因素(P<.05)。年龄仅影响 b*(P<.001),而性别仅影响 L*(P<.05)和 b*(P<.05)。分析确定了 5 个肤色聚类。

结论

该研究表明,年龄和性别引起的肤色主要发生在黄-蓝轴上。还发现两性群体之间存在明显的明度差异。聚类分析确定了 5 个不同的肤色标签。

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