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Identifying Skin Type using the Baumann Skin Type Questionnaire in Korean Women Who Visited a Dermatologic Clinic / 대한피부과학회지
Article in Ko | WPRIM | ID: wpr-212273
Responsible library: WPRO
ABSTRACT

BACKGROUND:

Skin types vary, making it difficult to identify them at a glance. To effectively understand skin type, analysis based on a questionnaire could be helpful.

OBJECTIVE:

The purpose of this study was to identify the accuracy and effectiveness of the Baumann skin type questionnaire (BSTQ) compared with an interview with a dermatologic specialist. In addition, we aimed to identify differences in skin type proportions according to age and develop a modified BSTQ.

METHODS:

Subjects included 202 women (19~64 years of age) who visited the dermatologic clinic of our hospital. They completed both the BSTQ and an interview with a dermatologic specialist. A modified BSTQ was developed by removing similar and racial questions and adjusting grading scores.

RESULTS:

The agreement between skin type proportions analyzed by the BSTQ and an interview was not reasonable (κ=0.428, 95% confidence interval [CI] 0.363~0.493). There was a correlation between the proportion of dryness and age (R2=0.029, p<0.05). However, other skin type proportions (sensitivity, pigmentation, and wrinkles) were not significantly correlated with age. The modified BSTQ showed substantial agreement with the BSTQ in skin type proportions (κ=0.691, 95% CI 0.641~0.740).

CONCLUSION:

We identified the skin types of Korean women of various ages using the BSTQ and an interview. Furthermore, the modified BSTQ might be helpful for accurately recognizing skin types.
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Full text: 1 Index: WPRIM Main subject: Skin / Specialization / Pigmentation Type of study: Prognostic_studies Limits: Female / Humans Language: Ko Journal: Korean Journal of Dermatology Year: 2016 Type: Article
Full text: 1 Index: WPRIM Main subject: Skin / Specialization / Pigmentation Type of study: Prognostic_studies Limits: Female / Humans Language: Ko Journal: Korean Journal of Dermatology Year: 2016 Type: Article