Revolutionizing Skin-Type Classification: Insights from Secondary Data Analysis of Biophysical Skin Measurements
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Abstract
Classification of skin type is central to dermatology; it guides treatment, diagnosis and product development. This work employed a cross-sectional descriptive study with data sourced from the Indonesian population to set baseline biophysical skin parameters of skin hydration, elasticity, pigmentation, sebum, and TEWL. Thirteen to fifty-one-year-old participants were evaluated with non-invasive devices, and the parameters were classified based on statistical analysis including mean ± SD and K-means clustering. Data analysis showed that females had higher hydration and elasticity than males while the latter had a higher pigmentation and sebum levels. Trends with age suggested better hydration and lower TEWL in elderly people than young people, while young people had better elasticity and sebum production. Interestingly, the levels of pigmentation and sebum also differed from one group to the other because of genetic and or environmental factors. The results presented here provide valuable information on how clinical dermatology can be practiced and how skincare products can be developed. Some of the limitations include, data collection from only one demographic and use of secondary data. In subsequent studies, it is recommended that primary data should be collected and multi-ethnic patients’ datasets should be analysed to improve the general conclusion that can be garnered from current studies. The findings of this work stress the significance of biophysical measurements to enhance the individualized dermatological care and product development.
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