Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
J Natl Med Assoc. 2018 Apr;110(2):176-181. doi: 10.1016/j.jnma.2017.05.001. Epub 2017 Jun 7.
African-Americans are less affected by photoaging than lighter skin individuals. Although scales for photoaging have been developed for Caucasians and Asians, no scale exists for African-Americans.
To develop a photonumeric scale for photoaging and to determine factors that contribute to photoaging in African-Americans.
Five participants' photographs were selected as standards to create a 9-point photonumeric scale (0 = none, 8 = most severe). Three blinded dermatologists used the scale to grade the remaining participants' photographs.
Interrater reliabilities were 0.775 (95% CI: 0.635, 0.880) for trial 1 and 0.832 (0.747, 0.883) for trial 2. Intrarater reliabilities, assessed over a 1 week interval, were 0.863 (0.727, 0.940), 0.928 (0.890, 0.954), and 0.866 (0.739, 0.935) for the three graders, indicating strong agreement. Photoaging scores were then correlated with participants' survey on lifestyle factors, which yielded age as a significant predictor (r = 0.91, p < 0.001). Furthermore, multiple regression model to predict facial photoaging (adjusted R = 0.849) selected age (b = 0.111, p < 0.001), sun exposure (b = 0.206, p = 0.014), and gender (b = -0.388, p = 0.063) as the most important variables.
A reliable photonumeric scale for photoaging in African Americans was developed. Age, sun exposure, and male gender were found to be contributory factors to photoaging.
与浅色皮肤的人相比，非裔美国人受光老化的影响较小。虽然已经为白种人和亚洲人开发了光老化量表，但非裔美国人的量表尚未建立。
开发一种用于非裔美国人光老化的光子数字量表，并确定导致非裔美国人光老化的因素。
选择五名参与者的照片作为标准，创建一个 9 分光子数字量表（0=无，8=最严重）。三名盲评皮肤科医生使用该量表对其余参与者的照片进行分级。
在试验 1 中，三位评估者之间的可靠性为 0.775（95%CI：0.635，0.880），在试验 2 中为 0.832（0.747，0.883）。三位评估者在一周间隔内的内部可靠性分别为 0.863（0.727，0.940）、0.928（0.890，0.954）和 0.866（0.739，0.935），表明具有很强的一致性。光老化评分与参与者关于生活方式因素的调查相关，结果表明年龄是一个重要的预测因素（r=0.91，p<0.001）。此外，用于预测面部光老化的多元回归模型（调整 R2=0.849）选择年龄（b=0.111，p<0.001）、阳光暴露（b=0.206，p=0.014）和性别（b=-0.388，p=0.063）作为最重要的变量。
开发了一种用于非裔美国人光老化的可靠光子数字量表。年龄、阳光暴露和男性性别被认为是光老化的促成因素。
