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根据 ITA°,研究了 1092 名中国年轻女性面部肤色特征状况。

Study of the characteristics of facial skin tone status in 1092 young Chinese females according to the ITA°.

机构信息

Centre for Health Management and Policy Research, School of Public Health Cheeloo College of Medicine, Shandong University, Jinan, China.

NHC Key Lab of Health Economics and Policy Research (Shandong University), Jinan, China.

出版信息

J Cosmet Dermatol. 2022 May;21(5):2073-2081. doi: 10.1111/jocd.14356. Epub 2021 Aug 5.

Abstract

BACKGROUND

The ITA° is the gold standard for skin tone classification. Different skin tones are often associated with different skin characteristics and issues. Different skin types are often associated with different skin characteristics and issues in China.

AIMS

To study the population's skin color distribution and accompanying skin problems according to the ITA° classification standard.

METHODS

A total of 1092 women aged 22-42 years were recruited in 7 cities in China. All biophysical parameter measurements (SM, CM, TWEL, pH, R2, GLOSS_DSCT, MEXA, ERYTH, ITA°; 9 indexes total) were quantified with noninvasive instruments. All volunteers provided consent before enrollment.

RESULT

The main skin color categories were light (II), very light (I), intermediate (III), and tan (IV). The results demonstrated that the characteristics of the facial skin based on the ITA° were significantly different among cities and age groups and were associated with different skin issues.

CONCLUSIONS

Lighter skin was associated with worse skin elasticity; intermediate skin was associated with worse skin hydration content and was most prone to being oily; and darker skin was associated with poor barrier function. Established principal component regression (PCR) indicated that pH, gloss GLOSS_DSC, MEXA, ERYTH, TEWL, and SM had significant effects on the ITA°.

摘要

背景

ITA°是肤色分类的金标准。不同的肤色通常与不同的皮肤特征和问题相关。在中国,不同的皮肤类型通常与不同的皮肤特征和问题相关。

目的

根据 ITA°分类标准研究人群的肤色分布及伴随的皮肤问题。

方法

在中国 7 个城市招募了 1092 名年龄在 22-42 岁的女性。所有的皮肤生物物理参数测量(SM、CM、TWEL、pH、R2、GLOSS_DSCT、MEXA、ERYTH、ITA°;共 9 项指标)均使用非侵入性仪器进行量化。所有志愿者在入组前均签署了知情同意书。

结果

主要肤色类别为浅(II)、很白(I)、中等(III)和棕褐色(IV)。结果表明,基于 ITA°的面部皮肤特征在不同城市和年龄组之间存在显著差异,并且与不同的皮肤问题相关。

结论

肤色较浅的皮肤与较差的皮肤弹性相关;肤色中等的皮肤与较差的皮肤水分含量相关,且最容易变得油腻;肤色较深的皮肤与较差的屏障功能相关。建立的主成分回归(PCR)表明,pH、GLOSS_DSC、MEXA、ERYTH、TEWL 和 SM 对 ITA°有显著影响。

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