| Title: | Association of air pollution with incidence of elderly-onset seborrheic dermatitis: A prospective cohort study in UK Biobank |
| Journal: | Clinical and Experimental Dermatology |
| Published: | 22 Apr 2024 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/38648509/ |
| DOI: | https://doi.org/10.1093/ced/llae122 |
Publication 9850
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Abstract
BACKGROUND: Elderly-onset seborrheic dermatitis (SD) seriously affects the quality of life. However, associations between air pollution exposures and elderly-onset SD incidence have not been elucidated.</p>
OBJECTIVES: Investigate air pollution's role in the incidence of elderly-onset SD.</p>
METHODS: We engaged a prospective cohort analysis utilizing the UK Biobank database. Exposure data for specific air pollutants (PM2.5, PM2.5-10, NOX, NO2, and PM10) spanning various years was incorporated. Through a composite air pollution score constructed from five pollutants and employing Cox proportional hazards models, the relationship between pollution and SD was delineated.</p>
RESULTS: Our examination of 193,995 participants identified 3,363 SD cases. Higher concentrations of specific pollutants, particularly in the upper quartile (Q4), were significantly linked to an elevated SD risk. Notably, PM2.5, PM10, NO2, and NOX exhibited hazard ratios of 1.11, 1.15, 1.22, and 1.15, respectively. The correlation was further solidified with a positive association between air pollution score increments and SD onset. Intriguingly, this association was accentuated in certain demographics, including younger males, the socioeconomically deprived, smokers, daily alcohol consumers, and those engaging in regular physical activity.</p>
CONCLUSIONS: Our findings revealed that air pollution exposures were associated with elderly-onset SD incidence. These results emphasize the importance of preventing environmental exposures to the risk of SD development.</p>
7 Authors
- Peng Chen
- Yiya Zhang
- Tongtong Zhang
- Ji Li
- Minxue Shen
- Rui Mao
- Chengcheng Zhang
1 Application
| Application ID | Title |
|---|---|
| 93810 | Identification of genetic variants and lifestyle factors involved in obesity. |
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