The Procter & Gamble Company, Cincinnati, OH 45241, USA.
Br J Dermatol. 2010 Jun;162(6):1233-41. doi: 10.1111/j.1365-2133.2010.09709.x. Epub 2010 Feb 22.
While cumulative lifetime sun exposure is well recognized as having an important role in the progression of facial wrinkling, the role of facial expression has largely been overlooked, in part due to the lack of comprehensive longitudinal data on the change in both expression lines and persistent wrinkles with age.
To track the detailed pattern of facial wrinkling in the same group of people over several years and to verify that expression lines evolve into persistent wrinkles. In addition, to identify factors predictive of a faster or slower rate of wrinkling.
Standardized images were captured at baseline and at 8 years of 122 women (ages 10-72 years, skin types I-VI) with and without a smiling expression. The wrinkle pattern with expression at baseline was compared with the pattern without expression at 8 years. Severity of facial wrinkling was quantified using computer-based image analysis. Skin colour, hydration, sebum and pH were measured at baseline. A structured questionnaire captured demographic and lifestyle data at baseline and at 8 years.
Each subject's unique pattern of persistent facial wrinkling observed without expression at year 8 was predicted by the pattern of lines observed with a smiling expression at baseline. Having a drier, more alkaline stratum corneum, a lighter complexion, being middle-aged (40s) or becoming menopausal were associated with faster persistent wrinkling.
Repeated skin flexure during facial expression causes persistent wrinkles. The pattern of expression lines predicts the pattern of future persistent wrinkles. Certain intrinsic and extrinsic factors are not causative, but influence the rate, of facial wrinkling.
虽然人们普遍认识到累积的一生阳光暴露对面部皱纹的发展有重要作用,但面部表情的作用在很大程度上被忽视了,部分原因是缺乏关于表情线和随着年龄增长而持续出现的皱纹变化的综合纵向数据。
在几年内跟踪同一组人群的面部皱纹的详细变化模式,并验证表情线会逐渐演变成持续的皱纹。此外,确定预测皱纹更快或更慢发展的因素。
在基线和 8 年时对 122 名女性(年龄 10-72 岁,皮肤类型 I-VI)进行了标准化的图像采集,这些女性既有带微笑表情的,也有不带微笑表情的。将基线时带表情的皱纹模式与 8 年后不带表情的皱纹模式进行比较。使用基于计算机的图像分析量化面部皱纹的严重程度。在基线时测量皮肤颜色、水分、皮脂和 pH 值。一个结构化问卷在基线和 8 年后采集人口统计学和生活方式数据。
每个受试者在 8 年后观察到的不带表情的持续面部皱纹的独特模式,可以通过基线时带微笑表情的皱纹模式来预测。皮肤角质层更干燥、更碱性、肤色更浅、中年(40 多岁)或绝经与更快的持续皱纹有关。
面部表情时的皮肤反复伸缩会导致持续的皱纹。表情线的模式预测未来持续皱纹的模式。某些内在和外在因素不是致病因素,但会影响面部皱纹的发展速度。