Logistic regression analysis differentiates high from low computer users by facial skin conditions in a population of Chinese women
详细信息 查看全文
- 作者：Mary S. Matsui ; Jomer Dela Cruz ; Jiawen Tang ; Bin Wei Deng…
- 刊名：Applied Informatics
- 出版年：2017
- 出版时间：December 2017
- 年：2017
- 卷：4
- 期：1
- 全文大小：920KB
- 刊物类别：Computing Methodologies; Bioinformatics; Health Informatics; Computer Imaging, Vision, Pattern Recog
- 刊物主题：Computing Methodologies; Bioinformatics; Health Informatics; Computer Imaging, Vision, Pattern Recognition and Graphics; Computer Applications; Statistics for Life Sciences, Medicine, Health Sciences;
- 出版者：Springer Berlin Heidelberg
- ISSN：2196-0089
- 卷排序：4
文摘
In the past few decades, video display terminals (VDTs) and computer use have been associated with various skin symptoms in several published reports. In addition, internet beauty sites report that extended computer use leads to acne or accelerated facial aging. For example, the term “computer face” is used to describe premature aging caused by sitting for long periods of time in front of the screen (http://www.marieclaire.com/beauty/news/a12937/computer-screen-skin-problems/). We wished to determine, using instrumental and expert assessment, if prolonged/extended computer use could be associated with certain skin conditions. This study focused on long-term (10 years or more) office VDT work and was designed to include a wide range of confounding variables. One hundred Chinese women were recruited, 50 in each of two groups characterized as either (a) computer users with 8 or more hours per day, or (b) non-users who use computers 1 h or less per day. All subjects lived in Guangzhou and worked in the same building. Confounders were assessed by survey, and included age, smoking, sun exposure history, exercise, and other factors. Skin conditions, which included acne, sebum, wrinkles, and pigment spots, were assessed by instrumental measurements and blinded dermatologist assessment. Age and skin conditions were subjected to logistic regression analysis to determine major contributors which could separate, or distinguish, the computer group from the non-computer group. From this analysis, the office computer users were found to be statistically significantly associated with a higher incidence of acne, higher sebum levels, and a higher risk of self-reported sensitive skin when compared with the non-computer group. The final model suggests that the major contributors in separating the two groups are acne and pigmented spots (UV and brown). These results indicate that facial skin of women within the Chinese population who use computers for 8 h or more a day may be at higher risk for acne; however, they had lower levels of attributes associated with photoaging, such as lentigines and facial wrinkles. Separate pairwise assessment of other variables such as lifetime cumulative sun exposure, sleep quality, smoking behavior, exercise, and cosmetic product use or procedures showed no significant differences between the two groups. This indicates that the results obtained from objective and subjective measurements were not biased due to these potential confounders, but does not reveal the mechanism for the observed differences in skin conditions between computer/VDT users and non-users.