A study on the classification approach and characteristics of oily skin in young Chinese females
Oily skincare is one of the common problems confronting young Chinese females.Currently,skin type characterization is largely based on self-reports and qualitative assessments by dermatologists.Quantitative classification approach for oily skin totally based on the non-invasive skin measurement devices has not been reported in the literatures.In this study,based on box-plot data and machine learning clustering algorithms for 2000 Chinese female subjects(mean aged 25.90±2.61),non-invasive,objective,and quantitative classification approach for oily skin were initially established and compared with dermatologists'empirical results for mutual corroboration.On this basis,this study quantitatively collected data on skin barrier,chromaticity,elasticity,acne and other indicators through a multifunctional probe tester and a facial skin imaging system,analyzed the accompanying characteristics of oily skin and susceptible skin problems,clarified the characteristics of oily skin in young Chinese females,and evaluated the risk level of acne and sensitivity of oily skin,with a view to providing scientific care and guidance for Chinese young females with oily skin groups.The results show that the box-plot classification method based on facial hydro-oil distribution is superior to the other two types of methods.The accompanying characteristics of oily skin are poor barrier,dull complexion,less elasticity,more acne and pores.In addition,the risk of acne-prone skin is significantly higher in oily skin based on odds ratio.
国家科技期刊平台
NSTL
万方数据
维普
