Development of new cosmetic clinical assessment based on skin measurement data according to age of Korean women
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Presented by: Gaewon Nam
Introduction : Skin properties vary among individuals of different age, gender, ethnicity, and skin types. Topographical and color information with respect to the face can be classified in terms of several specific features such as wrinkles, surface roughness, texture, pores and hyperpigmentation, which have been measured and quantified by a variety of imaging techniques. Such methods are widely used in assessing the efficacy in evaluating the condition of the skin in clinical research. In addition, the accumulated skin characteristic data can be used to build skin diagnosis data, which can be used for diagnostic analysis to select cosmetics suitable for one's skin.
Methods : In this study, 303 Korean women in their 20s to 40s who mainly use cosmetics were selected. After that, skin characteristics data for each age group were collected by measuring skin hydration, skin melanin index, skin erythema index, skin torsion elasticity, etc. The collected data were analyzed for statistically significant differences by age using SPSS. In addition, correlation analysis and regression analysis between skin characteristic factors were conducted to study the new skin index in association with the age of the subjects. After that, a human application test was conducted on 21 Korean women, and after using the product for 2 weeks, the results before and after use were compared with the skin index.
Results : As a result of the test, the skin moisture content of women in their 20s was statistically significantly higher than that of women in their 30s. Compared to women in their 30s and 40s, women in their 20s showed significantly higher skin melanin index, skin erythema index, and skin torsion elasticity (Ur/Ue) in all areas except the forehead (p<0.05). Comparing women in their 30s and women in their 40s, women in their 30s showed statistically significantly higher results in skin moisture content on the inner side of the forearm, skin melanin index and skin erythema index on both cheeks, and skin torsion elasticity on the inside of the face and forearm. Using the data measured by 303 people, correlation studies and regression analysis were conducted using SPSS to derive indices, and groups with similar characteristics were classified through cluster analysis. Subsequently, as a result of a two-week clinical trial with 21 subjects, the moisture content of the skin increased(p<0.001) and the amount of the stratum corneum decreased(p<0.001). This result was compared with the results of cluster analysis and regression analysis previously analyzed.
Conclusion : This study goes beyond a simple large-scale skin characteristic study to create new indicators and groups through correlation analysis, regression analysis, and cluster analysis. It has the advantage of providing additional data along with the device measurement results by checking the indicators during the human application test. In addition, the new skin index can be used in conjunction with other skin indexes (eg, aging index), and it is considered that additional research is needed in that it can be used in big data if the data is continuously expanded.
Methods : In this study, 303 Korean women in their 20s to 40s who mainly use cosmetics were selected. After that, skin characteristics data for each age group were collected by measuring skin hydration, skin melanin index, skin erythema index, skin torsion elasticity, etc. The collected data were analyzed for statistically significant differences by age using SPSS. In addition, correlation analysis and regression analysis between skin characteristic factors were conducted to study the new skin index in association with the age of the subjects. After that, a human application test was conducted on 21 Korean women, and after using the product for 2 weeks, the results before and after use were compared with the skin index.
Results : As a result of the test, the skin moisture content of women in their 20s was statistically significantly higher than that of women in their 30s. Compared to women in their 30s and 40s, women in their 20s showed significantly higher skin melanin index, skin erythema index, and skin torsion elasticity (Ur/Ue) in all areas except the forehead (p<0.05). Comparing women in their 30s and women in their 40s, women in their 30s showed statistically significantly higher results in skin moisture content on the inner side of the forearm, skin melanin index and skin erythema index on both cheeks, and skin torsion elasticity on the inside of the face and forearm. Using the data measured by 303 people, correlation studies and regression analysis were conducted using SPSS to derive indices, and groups with similar characteristics were classified through cluster analysis. Subsequently, as a result of a two-week clinical trial with 21 subjects, the moisture content of the skin increased(p<0.001) and the amount of the stratum corneum decreased(p<0.001). This result was compared with the results of cluster analysis and regression analysis previously analyzed.
Conclusion : This study goes beyond a simple large-scale skin characteristic study to create new indicators and groups through correlation analysis, regression analysis, and cluster analysis. It has the advantage of providing additional data along with the device measurement results by checking the indicators during the human application test. In addition, the new skin index can be used in conjunction with other skin indexes (eg, aging index), and it is considered that additional research is needed in that it can be used in big data if the data is continuously expanded.