Beijing Key Lab of Plant Resource Research and Development, School of Science, Beijing Technology and Business University, Beijing 100048, China.
Shanghai Pechion Biological Technology Co., Ltd., Shanghai 20000, China.
Technol Health Care. 2021;29(S1):65-76. doi: 10.3233/THC-218007.
Due to the increasing interest in human anti-aging, demand for a higher quality of life, and technological advancement, the development of anti-aging skincare has great market prospects. Most cosmetic companies develop products driven by the market or focus on the mechanism of action of substances and the behavior of skin; however, little research utilizes skin parameters and large data methodology to develop skincare products.
To instruct consumers to purchase skincare products and to guide skincare research toward the development of customer-targeted products.
A total of 815 Chinese subjects (83 male; 732 female) from five different cities were included. We measured 14 indices in each subject, including moisture, transepidermal water loss (TEWL), and sebum levels. We performed multiple regression analysis to understand the relationship between skin indices and aging; a novel approach is shown using the R software.
The exact age at which changes in each skin index occurred could be demonstrated by this method of analysis: 39, 38, 48, 46, and 56 years old with respect to the L value, Melanin, Rt, Rm, and Rz, respectively.
With the use of statistical analysis, consumers can be more efficiently targeted and choose suitable products considering particular skin parameter changing points; thus, skincare companies will not only meet customer requirements but also better control budgets.
由于人们对抗衰老的兴趣日益浓厚，对更高生活质量的需求以及技术的进步，抗衰老护肤品的发展具有广阔的市场前景。大多数化妆品公司都是受市场驱动开发产品，或者专注于物质的作用机制和皮肤行为；但是，很少有研究利用皮肤参数和大数据方法来开发护肤品。
指导消费者购买护肤品，并引导护肤品研究朝着开发针对客户的产品方向发展。
共纳入来自五个不同城市的 815 名中国受试者（男性 83 名，女性 732 名）。我们测量了每个受试者的 14 项指标，包括水分、经皮水分流失（TEWL）和皮脂水平。我们进行了多元回归分析以了解皮肤指标与衰老之间的关系；使用 R 软件展示了一种新的方法。
通过这种分析方法可以明确每个皮肤指标变化的具体年龄：L 值、黑色素、Rt、Rm 和 Rz 分别为 39 岁、38 岁、48 岁、46 岁和 56 岁。
通过统计分析，消费者可以根据特定的皮肤参数变化点更有效地定位和选择合适的产品；因此，护肤品公司不仅可以满足客户的需求，还可以更好地控制预算。
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