
AbstractBackgroundAt present, there are many different evaluation methods for sensitive skin, including subjective, semisubjective, and objective evaluation. Various objective tests focus on assessing changes in barrier functions. It is anticipated that the ANTERA 3D®, in combination with GPSkin Barrier®, will provide better evaluation of sensitive skin.MethodsA total of 20 subjects with sensitive skin and 20 healthy participants were recruited. Sensitive skin subjects were treated with an anti‐sensitive moisturizing tolerance‐extreme cream which has anti‐inflammatory and moisturizing effects, twice daily on the whole face for 28 days. VISIA® Skin Detector was used to record clinical images and red area. GPSkin Barrier® was used to measure TEWL and SCH. Texture, hemoglobin, and influenced area (mm2) were recorded using ANTERA 3D®. Subjects underwent skin tests and recorded changes at D0 and D28. Data were only collected from healthy participants who did not receive treatment as controls.ResultsTEWL, texture, hemoglobin, and affected area in sensitive skin group were significantly higher than those in healthy group, while SCH was significantly lower than that in healthy group (p all<0.05). After anti‐inflammatory and moisturizing treatment, the texture, hemoglobin, and affected area of sensitive skin decreased, TEWL decreased while SCH increased (p all<0.05).ConclusionsBased on the results, the combination of the ANTERA 3D® with GPSkin Barrier® could be used as a new kind of quantitative evaluation method for the detection and diagnosis of sensitive skin.
Hemoglobins, Humans, Original Articles, Water Loss, Insensible, Skin, Skin Aging
Hemoglobins, Humans, Original Articles, Water Loss, Insensible, Skin, Skin Aging
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 14 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
