Eiben-Nielson Christine, Kerscher Martina
Division of Cosmetic Science, Department of Biochemistry and Molecular Biology, University of Hamburg, Hamburg, Germany.
J Cosmet Dermatol. 2021 Dec;20(12):4032-4039. doi: 10.1111/jocd.14058. Epub 2021 Mar 24.
Skin quality plays an important role in overall attractiveness. However, so far, no visual grading scales have been published while their development seems to be an essential key step to provide validated grading scales for the evaluation of efficacy of minimally invasive procedures and cosmeceuticals aims on the improvement of skin quality, esthetic research, and clinical application.
To develop and validate a visual five-point assessment scale for the evaluation of skin quality of female facial skin.
The five-point photonumeric Scientific Assessment Scale of Skin Quality is based on six parameters. Fifty standardized photos were rated by 13 experts. This examination was carried out in two cycles with an interval of 4 weeks. The intraclass correlation coefficient contributes to the identification of the inter-rater and intrarater reliability.
Statistical analysis investigated six specific and two general parameters: The results of inter- and intrarater reliability for skin elasticity (ICC 0.816; ICC 0.883), wrinkles (ICC 0.840; 0.885), and age (ICC 0.885; 0.925) were almost perfect. The reliabilities for pigmentation (ICC 0.637; ICC 0.797), erythema (ICC 0.688; ICC 0.797), and overall skin quality (ICC 0.652; ICC 0.756) were substantial and for pore size moderate (ICC 0.405; ICC 0.584). Skin surface roughness (ICC 0.480; ICC 0.645) indicated a substantial intrarater reliability and a moderate interrater reliability. These data revealed good and excellent results.
The Scientific Assessment Scale of Skin Quality represents an innovative universal and reliable measurement instrument for a valid and reproducible evaluation of six parameters of aged female facial skin quality.
皮肤质量在整体吸引力中起着重要作用。然而，到目前为止，尚未有视觉分级量表发表，而其开发似乎是为评估微创程序和美容化妆品改善皮肤质量的功效、美学研究及临床应用提供经过验证的分级量表的关键步骤。
开发并验证一种用于评估女性面部皮肤质量的视觉五点评估量表。
皮肤质量的五点数字科学评估量表基于六个参数。由13名专家对50张标准化照片进行评分。该检查分两个周期进行，间隔4周。组内相关系数有助于确定评分者间和评分者内的可靠性。
统计分析研究了六个特定参数和两个一般参数：皮肤弹性（组内相关系数0.816；组内相关系数0.883）、皱纹（组内相关系数0.840；0.885）和年龄（组内相关系数0.885；0.925）的评分者间和评分者内可靠性结果几乎完美。色素沉着（组内相关系数0.637；组内相关系数0.797）、红斑（组内相关系数0.688；组内相关系数0.797）和整体皮肤质量（组内相关系数0.652；组内相关系数0.756）的可靠性较高，毛孔大小的可靠性中等（组内相关系数0.405；组内相关系数0.584）。皮肤表面粗糙度（组内相关系数0.480；组内相关系数0.645）显示评分者内可靠性较高，评分者间可靠性中等。这些数据显示出良好和优异的结果。
皮肤质量科学评估量表是一种创新的通用且可靠的测量工具，可有效且可重复地评估老年女性面部皮肤质量的六个参数。
