ORCID: https://orcid.org/0000-0002-8019-9819; Marcon, Alessandro
ORCID: https://orcid.org/0000-0002-2778-658X; Bertelsen, Randi Jacobsen; Benediktsdottir, Bryndis; Brandt, Jørgen
ORCID: https://orcid.org/0000-0002-7580-9547; Frohn, Lise Marie
ORCID: https://orcid.org/0000-0002-4236-5708; Geels, Camilla
ORCID: https://orcid.org/0000-0003-2549-1750; Gislason, Thorarinn
ORCID: https://orcid.org/0000-0002-6773-9876; Heinrich, Joachim
ORCID: https://orcid.org/0000-0002-9620-1629; Holm, Mathias
ORCID: https://orcid.org/0000-0002-9327-5139; Janson, Christer
ORCID: https://orcid.org/0000-0001-5093-6980; Markevych, Iana
ORCID: https://orcid.org/0000-0002-5214-0748; Modig, Lars; Orru, Hans; Schlünssen, Vivi; Sigsgaard, Torben und Johannessen, Ane
(2025):
Associations of long-term exposure to air pollution and greenness with COVID-19 prevalence in Northern Europe.
ERS: European Respiratory Society Congress 2025, Amsterdam, 07. September - 01. Oktober 2025.
European Respiratory Journal.
Bd. 66, Nr. Supplement 69, PA4729
Lausanne: European Respiratory Society.
Abstract
Background: Air pollution may be linked to an increased risk of COVID-19 infection, while evidence concerning the effects of greenness on COVID-19 remains sparse.
Aim: We investigated the associations between long-term exposure to air pollution and greenness with self-reported COVID-19 prevalence in the Respiratory Health in Northern Europe (RHINE IV) study.
Methods: COVID-19 prevalence data of adults (aged 49-76) were obtained from the RHINE IV survey (from 2021-2023). Exposure data for 2010 were retrieved for residential addresses, where we estimated annual mean residential exposure to particulate matter (PM2.5 and PM10), elemental carbon (EC), and nitrogen dioxide (NO2) using a dispersion model. Residential greenness was derived from the satellite-based Normalized Difference Vegetation Index (NDVI) with a 300m buffer zone. Logistic regression was used to evaluate the associations between exposure to air pollution, greenness, and COVID-19 prevalence, adjusting for age, sex, study center, and education.
Results: Of 6,387 participants, 1,021 reported having had COVID-19. Adjusted odds ratios (ORs) and 95% confidence intervals for COVID-19 prevalence, calculated for an interquartile range (IQR) increase, were 1.04 (0.85-1.28) per 3.84 µg/m³ for PM2.5, 1.11 (0.95-1.29) per 5.73 µg/m³ for PM10, 1.34 (1.07-1.69) per 0.45 µg/m³ for EC, and 1.11 (1.00-1.25) per 8.86 µg/m³ for NO2. In contrast, higher exposure to NDVI was associated with reduced odds of COVID-19, with an OR of 0.87 (0.76–0.99) per 0.18-unit increase.
Conclusion: Long-term exposure to EC and NO2 was associated with increased prevalence of COVID-19, while long-term exposure to higher greenness showed a decreased risk.
| Dokumententyp: | Konferenzbeitrag (Vortrag) |
|---|---|
| Fakultät: | Medizin > Institut und Poliklinik für Arbeits-, Sozial- und Umweltmedizin |
| Themengebiete: | 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit |
| Ort: | Lausanne |
| Bemerkung: | This article was presented at the 2025 ERS Congress, in session “Role of pollution, pollen and microbiota in respiratory diseases”. |
| Sprache: | Englisch |
| Dokumenten ID: | 131141 |
| Datum der Veröffentlichung auf Open Access LMU: | 15. Jan. 2026 14:59 |
| Letzte Änderungen: | 15. Jan. 2026 15:04 |
