Long-term air pollution exposure and risk of SARS-CoV-2 infection: A UK-wide cohort study
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Accepted version
Author(s)
Type
Journal Article
Abstract
BACKGROUND: The association between air quality and risk of SARS-CoV-2 infection is poorly understood. We investigated this association using serological individual-level data adjusting for a wide range of confounders, in a large population-based cohort (COVIDENCE UK). METHODS: We assessed the associations between long-term (2015-19) nitrogen dioxide (NO2) and fine particulate matter with an aerodynamic diameter of ≤2.5 μm (PM2.5), exposures with SARS-CoV-2 infection, level of antibody response among those infected, and COVID-19 disease severity. We used serological data from 10,489 participants in the COVIDENCE UK cohort, and estimated annual average air pollution exposure at each participant's home postcode. RESULTS: After controlling for potential confounders, we found a positive association between 5-year NO2 and PM2.5 exposures and the risk of seropositivity: 10 unit increase in NO2 (μg/m3) was associated with an increasing risk of seropositivity by 1.092 (95% CI 1.02 to 1.17; p-for-trend 0.012). For PM2.5, 10 unit increase (μg/m3) was associated with an increasing risk of seropositivity by 1.65 (95% CI 1.015-2.68; p-for-trend 0·049). In addition, we found that NO2 was positively associated with higher antibody titres (p-for-trend 0·013) among seropositive participants, with no evidence of an association for PM2.5. CONCLUSION: Our findings suggest that the long-term burden of air pollution increased the risks of SARS-CoV-2 infection and has important implications for future pandemic preparedness. This evidence strengthens the case for reducing long-term air pollution exposures to reduce the vulnerability of individuals to respiratory viruses.
Date Issued
2024-04-01
Date Acceptance
2024-02-15
Citation
Respiratory Medicine, 2024, 224, pp.107567-107567
ISSN
0954-6111
Publisher
Elsevier
Start Page
107567
End Page
107567
Journal / Book Title
Respiratory Medicine
Volume
224
Copyright Statement
© 2024 Published by Elsevier Ltd. This is the author’s accepted manuscript made available under a CC-BY licence in accordance with Imperial’s Research Publications Open Access policy (www.imperial.ac.uk/oa-policy)
License URL
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/38423343
PII: S0954-6111(24)00041-6
Subjects
Air Pollutants
Air Pollution
Cohort Studies
COVID-19
Environmental Exposure
Humans
Nitrogen Dioxide
Particulate Matter
SARS-CoV-2
United Kingdom
Air pollution
COVID-19
Logistic regression
UK-Wide cohort
Publication Status
Published
Coverage Spatial
England
Article Number
107567
Date Publish Online
2024-02-26