Sen Sumit, Choudhury Supriyo, Gangopadhyay Anusree, Halder Chinmay, Biswas Projna, Jain Atul
Department of Pharmacology, College of Medicine and Sagore Dutta Hospital, Kolkata, West Bengal, India.
Indian J Dermatol Venereol Leprol. 2016 Mar-Apr;82(2):151-61. doi: 10.4103/0378-6323.174369.
Estimation of facial aging has assumed growing importance due to the advent of several antiaging therapies. Evidence-based estimation of global facial aging is often necessary, especially for validation of these treatment modalities. Most available methods are expensive and have been used in fair skinned individuals.
We attempted to develop a clinical rating scale for the estimation of global facial aging applied on an Indian population which has brown to black skin. We have also measured the association of this rating scale score with the chronological age.
Initially, a 14- item summated rating scale was developed with inputs from five dermatologists and a clinical pharmacologist. The rating scale was applied to 105 consenting subjects with healthy facial skin between 30 to 90 years of age. Intra- and inter-rater reliability was assessed.
The summated rating score showed a significant positive correlation with the chronological age (Pearson's correlation coefficient 0.834, P < 0.001). We omitted one item from the scale due to a low inter-rater agreement. The resulting 13-item rating scale was internally consistent (Cronbach's alpha: 0.905), with substantial inter- and intra-rater reliability (intraclass correlation coefficient: 0.973 and 0.788, respectively). Principal components and predictive equation for perceptible age were identified on further computation.
Participants of this study were limited to a particular ethnic group from West Bengal and other neighboring states of Eastern India.
We have developed and validated a 13-item rating scale for the quantification of global facial aging suitable for Indian (brown to black) skin type. This scale can be utilized effectively for clinical estimation of global facial aging.
由于多种抗衰老疗法的出现,面部衰老评估变得越来越重要。基于证据的全球面部衰老评估往往是必要的,尤其是对于这些治疗方式的验证。大多数现有方法成本高昂,且多用于白种人。
我们试图开发一种临床评分量表,用于评估印度棕色至黑色皮肤人群的整体面部衰老情况。我们还测量了该评分量表得分与实际年龄之间的关联。
最初,在五位皮肤科医生和一位临床药理学家的帮助下,制定了一个包含14个项目的总和评分量表。该评分量表应用于105名年龄在30至90岁之间、面部皮肤健康且同意参与的受试者。评估了评分者内部和评分者之间的可靠性。
总和评分得分与实际年龄呈显著正相关(皮尔逊相关系数0.834,P < 0.001)。由于评分者间一致性较低,我们从量表中删除了一个项目。由此产生的13项评分量表具有内部一致性(克朗巴哈系数:0.905),评分者间和评分者内具有较高的可靠性(组内相关系数分别为0.973和0.788)。通过进一步计算确定了可感知年龄的主成分和预测方程。
本研究的参与者仅限于来自西孟加拉邦和印度东部其他邻近邦的特定种族群体。
我们已经开发并验证了一个13项评分量表,用于量化适合印度(棕色至黑色)皮肤类型的整体面部衰老情况。该量表可有效地用于临床评估整体面部衰老。