Title |
Indoor PM2.5 exposure affects skin aging manifestation in a Chinese population
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Published in |
Scientific Reports, November 2017
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DOI | 10.1038/s41598-017-15295-8 |
Pubmed ID | |
Authors |
Anan Ding, Yajun Yang, Zhuohui Zhao, Anke Hüls, Andrea Vierkötter, Ziyu Yuan, Jing Cai, Juan Zhang, Wenshan Gao, Jinxi Li, Manfei Zhang, Mary Matsui, Jean Krutmann, Haidong Kan, Tamara Schikowski, Li Jin, Sijia Wang |
Abstract |
Traffic-related air pollution is known to be associated with skin aging manifestations. We previously found that the use of fossil fuels was associated with skin aging, but no direct link between indoor air pollutants and skin aging manifestations has ever been shown. Here we directly measured the indoor PM2.5 exposure in 30 households in Taizhou, China. Based on the directly measured PM2.5 exposure and questionnaire data of indoor pollution sources, we built a regression model to predict the PM2.5 exposure in larger datasets including an initial examination group (N = 874) and a second examination group (N = 1003). We then estimated the association between the PM2.5 exposure and skin aging manifestations by linear regression. In the initial examination group, we showed that the indoor PM2.5 exposure levels were positively associated with skin aging manifestation, including score of pigment spots on forehead (12.5% more spots per increase of IQR, P-value 0.0371), and wrinkle on upper lip (7.7% more wrinkle on upper lip per increase of IQR, P-value 0.0218). The results were replicated in the second examination group as well as in the pooled dataset. Our study provided evidence that the indoor PM2.5 exposure is associated with skin aging manifestation in a Chinese population. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Thailand | 11 | 11% |
United States | 1 | <1% |
Korea, Democratic People's Republic of | 1 | <1% |
United Kingdom | 1 | <1% |
Andorra | 1 | <1% |
Bosnia and Herzegovina | 1 | <1% |
Unknown | 86 | 84% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 102 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 87 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 11 | 13% |
Student > Master | 10 | 11% |
Student > Doctoral Student | 7 | 8% |
Student > Ph. D. Student | 6 | 7% |
Student > Bachelor | 5 | 6% |
Other | 13 | 15% |
Unknown | 35 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 14 | 16% |
Environmental Science | 10 | 11% |
Biochemistry, Genetics and Molecular Biology | 7 | 8% |
Agricultural and Biological Sciences | 5 | 6% |
Nursing and Health Professions | 3 | 3% |
Other | 9 | 10% |
Unknown | 39 | 45% |