Long-term air pollution exposure and risk of SARS-CoV-2 infection : A UK-wide cohort study

Copyright © 2024. Published by Elsevier Ltd..

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.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:224

Enthalten in:

Respiratory medicine - 224(2024) vom: 27. März, Seite 107567

Sprache:

Englisch

Beteiligte Personen:

Hajmohammadi, Hajar [VerfasserIn]
Talaei, Mohammad [VerfasserIn]
Fecht, Daniela [VerfasserIn]
Wang, Weiyi [VerfasserIn]
Vivaldi, Giulia [VerfasserIn]
Faustini, Sian E [VerfasserIn]
Richter, Alex G [VerfasserIn]
Shaheen, Seif O [VerfasserIn]
Martineau, Adrian R [VerfasserIn]
Sheikh, Aziz [VerfasserIn]
Mudway, Ian S [VerfasserIn]
Griffiths, Christopher J [VerfasserIn]

Links:

Volltext

Themen:

Air Pollutants
Air pollution
COVID-19
Journal Article
Logistic regression
Nitrogen Dioxide
Particulate Matter
S7G510RUBH
UK-Wide cohort

Anmerkungen:

Date Completed 18.03.2024

Date Revised 18.03.2024

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1016/j.rmed.2024.107567

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM36913236X