Baumann Skin Type in the Korean Female Population

Ahn, Sung Ku; Jun, Moo-Jin; Bak, Hana; Park, Byung Duk; Hong, Soon-Tae; Lee, Sanghoon; Kim, Seong‐Jin; Kim, Hyung Joo; Song, Dong Ho; Min, Pok Kee; Goo, Ja Woong; Kim, Tae Hyun; Oh, Chang‐Keun; Chun, Seung Hyun; Lee, Sewon; Sung, Yeol Oh; Sohn, In-Bum; Ahn, Hyung Jin; Park, Kun

doi:10.5021/ad.2017.29.5.586

Cited by 13 publications

(12 citation statements)

References 14 publications

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“…Comparison of the skin type characteristics between males noted in the present study and females described in the study by Ahn et al5 …”

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confidence: 50%

“…Secondly, these features were distinctively different from the previously reported BST distribution of Korean females. The notable differences between males and females were as follows ( Table 2 ) 5 . In males, the ratio was higher in the order of OSNW, DSNW, DRNT, and ONST, which was fourth, sixth, third, and first in females, respectively.…”

Section: Discussionmentioning

confidence: 99%

“…It aids in reliable diagnosis and treatment of skin conditions and effectively bridges communication between doctor and patient 4 . Ahn et al 5 reported a distribution of BST by age and region in the Korean female population. Inspired by this previous study, we aimed to identify male-specific features and analyze the differences in skin type between males and females by mapping the skin types of Korean males.…”

Section: Introductionmentioning

confidence: 99%

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Baumann Skin Type in the Korean Male Population

Lee

Ahn

Ahn³

et al. 2019

Ann Dermatol

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Background: Research into the Baumann skin type (BST) has recently expanded, with growing interest in the development of an efficient and effective skin type classification system for better understanding of this skin condition. Objective: We aimed to identify male-specific skin type characteristics with investigation into the distribution of BST by age and region in the Korean male population and to determine the intrinsic and extrinsic factors related to skin type. Methods: A questionnaire was administered to collect information about age, region, working behavior, drinking behavior, smoking behavior, usual habit of sun protection, medical history, and the BST which consisted of four parameters; oily (O) or dry (D), sensitive (S) or resistant (R), pigmented (P) or non-pigmented (N), and wrinkled (W) or tight (T). Results: We surveyed 1,000 Korean males aged between 20 and 60 years who were divided equally by age and region. Of the total respondents , OSNW type accounted for the largest percentage and ORPW type the lowest. In terms of Baumann parameters, O type was 53.5%, S type was 56.1%, N type was 84.4% and W type was 57.5%. Several behavioral factors were found to have various relationships with the skin type. Conclusion: The predominant skin type in the Korean male respondents was OSNW type, and the distribution of skin types with regards to age and region was reported to be distinct. Therefore, skin care should be customized based on detailed skin types considering the various environmental factors. (Ann Dermatol 31(6) 621∼630, 2019

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“…Comparison of the skin type characteristics between males noted in the present study and females described in the study by Ahn et al5 …”

mentioning

confidence: 50%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Baumann Skin Type in the Korean Male Population

Lee

Ahn

Ahn³

et al. 2019

Ann Dermatol

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“…A previous study on Baumann Skin Type Solutions Theory [7] on classifying facial skin types among Korean women was done using the 63 questions from the original Baumann Skin Type Solutions questionnaire. However, many questions which affect the questionnaire's length were found to have a negative impact on response rate [8].…”

Section: State Of the Artmentioning

confidence: 99%

Facial Skin Type Prediction Based on Baumann Skin Type Solutions Theory Using Machine Learning

et al. 2023

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The lack of knowledge of different facial skin types is still a frequent problem in Indonesia. The purpose of this research is to build a facial skin type prediction system using machine learning to classify facial skin types based on Baumann Skin Type Solutionswhich provides information on different skin types and suitable skincare ingredients. The dataset is collected manually by distributing a questionnaire among Indonesian citizens. The prediction models are built using three machine learning methods namely SVM, XGBoost, and 1D-CNN, and compared using 5-fold stratified cross-validation. XGBoostachieved the best performance on facial skin type prediction and optimized through hyperparameter tuning using Bayesian Optimization with a result of 93.5% averaged F1-score.

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“…Amidst the ever‐increasing demands for personalized and tailored skin care, dermatologists and cosmetic manufacturers have proposed to classify skin types . The classic method of categorizing skin types was that proposed by Helena Rubinstein, who claimed the four fundamental types of dry, oily, combination, and sensitive skin in the early 1990s .…”

Section: Introductionmentioning

confidence: 99%

Oily sensitive skin: A review of management options

Hong

Park

Seo

et al. 2020

J of Cosmetic Dermatology

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Background Due to the ever‐increasing demands for the personalized care, people seek for the tailored management according to the accurate identification of their skin type. The Baumann Skin Type Indicator, which was proposed by Leslie Baumann, is composed of four parameters: oily or dry, resistant or sensitive, pigmented or nonpigmented, and wrinkled or tight. Among these, oily sensitive skin experiences significant discomfort and resists ordinary treatment. Aims In this article, we will review the clinical manifestations, underlying pathogenesis and recommendations on treatment options that may be utilized to help patients with oily sensitive skin. Patients/Methods Literature search was conducted using PubMed. The literature concerning Baumann Skin Type Indicator and oily sensitive skin type were considered. Results Oily sensitive (OS)‐type skin is a complex of oily and sensitive skin that causes significant discomfort and undergoes stubborn resistance to treatments. Sebum dysfunction and hypersensitivity may play a key role in the development of sensitive skin. Considering the pathogenesis of OS‐type skin, treatment should focus on both seborrhea and hypersensitivity. Conclusion Clinicians can effectively treat the oily sensitive skin by understanding underlying pathogenesis of it. Further investigations are necessary to reach a consensus on the basic pathophysiology and optimal management guidelines for oily sensitive skin.

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Baumann Skin Type in the Korean Female Population

Cited by 13 publications

References 14 publications

Baumann Skin Type in the Korean Male Population

Baumann Skin Type in the Korean Male Population

Facial Skin Type Prediction Based on Baumann Skin Type Solutions Theory Using Machine Learning

Oily sensitive skin: A review of management options

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