인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Objective : We studied to find suitable spots to measure facial oil and water status for identifying the skin-type. This study was performed with 131 female students in juniors and seniors in S collage at a city from 23th May to 3rd June 2003. Their age averaged 19.9±3.1 years.
Design : We measured the sebum content and the hydration status of 4 facial spots as the brow, the chin, the eye rims, and the cheek, after 1 hour, 2 hours and 12 hours after washing their faces by Sebum-meter and Corneo-meter, and also measured the pH of their cheek by Skin-pH-meter after 12 hours after washing. We assumed the whole face skin, as the average of 4 facial spots. The questionnaires for skin type classification were also performed as well as a single question of self-perceived skin types. The statistical analysis were done by using SPSS11.0 for Win like average, t-test, ANOVA, X2, and Pearson's correlation coefficient.
Results : We observed that the skin types based on the sebum content of whole face skin(4 spots) showed signigicant low correlations with the self-perceived skin types(r=0.287, p=0.016) or the skin types based on the questionnaires(r=0.393, p=0.000). The self-perceived skin types and questionnaires skin types were very highly related(r=0.709, p=0.000). There were remarkably the positive correlations between skin types by the sebum contents of whole face skin and T-Zone(r=0.812, p=0.000). Especially skin types by T-zone sebum showed significant low correlations with the self-perceived skin types(r=0.373, p=0.001) or with the skin types based on the questionnaires(r=0.403, p=0.000). Sebum creation rate is very important element for skin condition(type), so measuring sebum content of the whole face skin seemed to be very much resonable for identifying skin type. Especially only T-Zone measurement could be compatible. This results can be used for skin type identification before cosmetic material selections or facial makeups
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.