It is very interesting to classify skin types, but women's skin types depend on the seasonal changes, envioroment, their health conditions. And their skin types are not always same for all seasons. Accordingly, we investigated the dynamic skin conditins that changed due to several parameters with multivarate analyses.
We measured pH, water content, sebum, temperature of the skin's surface, morphology by the replica method about four hundred women and analyzed them. As a result, we found three components capable of explaining the skin condition- “Sexual type factor”, “Moisturizing factor”, “Texture of skin surface factor” and especially best skin condition needs a moderate valance both of the first and second components.
In addition, we determined a multiple regression analytical equation from the above skin parameters in relation to the ageing. We can explain 60% (R=0.616) rate about panel's age with this equation. And the residual of this equation tends to become larger with age.
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