Short-term exposure to ambient fine particulate matter and psoriasis: A time-series analysis in Beijing, China

Ambient fine particulate matter (PM ) adversely affects human health and has been linked to a variety of skin disorders. However, little is known about the effects of PM on psoriasis. The Beijing Medical Claim Data for Employees database recorded 500,266 outpatient visits for psoriasis during 2010-2...

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Bibliographic Details
Published inFrontiers in public health Vol. 10; p. 1015197
Main Authors Wu, Junhui, Chen, Hongbo, Yang, Ruotong, Yu, Huan, Shang, Shaomei, Hu, Yonghua
Format Journal Article
LanguageEnglish
Published Switzerland Frontiers Media S.A 13.10.2022
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Summary:Ambient fine particulate matter (PM ) adversely affects human health and has been linked to a variety of skin disorders. However, little is known about the effects of PM on psoriasis. The Beijing Medical Claim Data for Employees database recorded 500,266 outpatient visits for psoriasis during 2010-2017. A generalized additive quasi-Poisson model was used to examine the relationship between daily PM concentrations and outpatient visits for psoriasis with stratification by sex, age, and season. Short-term exposure to PM was associated with outpatient visits for psoriasis-related health concerns. A same-day increase of 10 μg/m in PM concentrations was associated with a 0.29% (95% confidence interval: 0.26-0.32%) increase in daily outpatient visits for psoriasis. Female and older patients appeared to be more sensitive to the effects of PM ( < 0.05). Short-term elevations in PM concentrations may be associated with exacerbations in psoriasis. Further work is warranted to confirm the findings and elucidate the underlying biological mechanisms.
Bibliography:This article was submitted to Environmental health and Exposome, a section of the journal Frontiers in Public Health
Reviewed by: Xiang Li, The Chinese University of Hong Kong, China; Yuxiong Chen, Peking Union Medical College Hospital (CAMS), China
These authors have contributed equally to this work
Edited by: Yunquan Zhang, Wuhan University of Science and Technology, China
ISSN:2296-2565
2296-2565
DOI:10.3389/fpubh.2022.1015197