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...
Saved in:
Published in | Frontiers in public health Vol. 10; p. 1015197 |
---|---|
Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Switzerland
Frontiers Media S.A
13.10.2022
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
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 |