Indoor PM2.5 exposure affects skin aging manifestation in a Chinese population
Open accessAbstract
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 PM 2.5 exposure in 30 households in Taizhou, China. Based on the directly measured PM 2.5 exposure and questionnaire data of indoor pollution sources, we built a regression model to predict the PM 2.5 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 PM 2.5 exposure and skin aging manifestations by linear regression. In the initial examination group, we showed that the indoor PM 2.5 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 PM 2.5 exposure is associated with skin aging manifestation in a Chinese population.
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Ding et al. found a direct association between ageing (2 cohorts N=874 and 1003) and indoor PM2.5 exposure measured in 30 households close to Shanghai.
“In a further study, Ding et al.68 found a direct association between ageing (2 cohorts N = 874 and 1003) and indoor PM2.5 exposure measured in 30 households close to Shanghai.”
From The impact of airborne pollution on skin (2019) · cites this paper as [68]
The Abstract and Methods report an association between indoor PM2.5 and skin-aging manifestations in groups of 874 and 1,003 participants. PM2.5 was measured in 30 Taizhou households, then predicted for the larger groups. The claim is broader than the paper on “ageing” generally, and our copy does not establish that the households were close to Shanghai. (LLM, conf=0.85)
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- Authors
- Ding, A., Yang, Y., Zhao, Z., Hüls, A., Vierkötter, A., Yuan, Z., Cai, J., Zhang, J., Gao, W., Li, J., Zhang, M., Matsui, M., Krutmann, J., Kan, H., Schikowski, T., Jin, L., & Wang, S.
- Affiliations
- Chinese Academy of Sciences (CN)
- Fudan University (CN)
- Leibniz Institute of Environmental Medicine (DE)
- Estée Lauder (United States) (US)
- Corresponding author
- Schikowski, Tamara
- Wang, Sijia
- ORCID
- Venue
- Scientific Reports
- Published
- 2017-11-10
- Volume
- 7
- Issue
- 1
- Pages
- 15329-15329
- ISSN
- 2045-2322 (ISSN-L)
- PMC
- PMC5681690
- OpenAlex
- W2768088496
- Cited by
- 67
- References
- 19
- Citations by year
- 2026: 3 · 2025: 9 · 2024: 3 · 2023: 9 · 2022: 3 · 2021: 12 · 2020: 8 · 2019: 15 · 2018: 5
- FWCI
- 4.13
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Scientific Reports (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- National Natural Science Foundation of China (111 Project, B13016)
- Chinese Academy of Sciences
- Fudan University (B13016)
- Higher Education Discipline Innovation Project (B13016)
- Organization Department of the Central Committee of the Communist Party of China
- Leibniz-Gemeinschaft
- Young Scientists Fund
- Topics
- Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Air Quality and Health Impacts
- Health Sciences › Medicine › Dermatology › Skin Protection and Aging
- Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Indoor Air Quality and Microbial Exposure
- Keywords
- skin aging, traffic-related air pollution, indoor air pollution, pigment spots, facial wrinkles, exposure prediction models, Chinese population
- MeSH terms
- Adult, Aged, Aged, 80 and over, Air Pollutants, China, Female, Humans, Male, Middle Aged, Models, Biological, Skin Aging, Air Pollution, Indoor, Asian People
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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