Long-term exposure to air pollution and risk of SARS-CoV-2 infection and COVID-19 hospitalisation or death: Danish nationwide cohort study

作者：Jiawei Zhang, Youn‐Hee Lim, Rina So, Jeanette Therming Jørgensen, Laust Hvas Mortensen, George Maria Napolitano, Tom Cole‐Hunter, Steffen H Loft, Samir Bhatt, Gerard Hoek, Bert Brunekreef, Rudi G. J. Westendorp, Matthias Ketzel, Jørgen Gustava Brandt, Theis Lange, Thea Kølsen-Fisher, Zorana Jovanovic Andersen · 发表于：European Respiratory Journal · 年份：2023 · DOI：10.1183/13993003.00280-2023 · 被引用次数：50 · 研究领域：COVID-19 impact on air quality、COVID-19 epidemiological studies、Air Quality and Health Impacts

Background Early ecological studies have suggested links between air pollution and risk of coronavirus disease 2019 (COVID-19), but evidence from individual-level cohort studies is still sparse. We examined whether long-term exposure to air pollution is associated with risk of COVID-19 and who is most susceptible. Methods We followed 3 721 810 Danish residents aged ≥30 years on 1 March 2020 in the National COVID-19 Surveillance System until the date of first positive test (incidence), COVID-19 hospitalisation or death until 26 April 2021. We estimated residential annual mean particulate matter with diameter ≤2.5 μm (PM 2.5 ), nitrogen dioxide (NO 2 ), black carbon (BC) and ozone (O 3 ) in 2019 by the Danish DEHM/UBM model, and used Cox proportional hazards regression models to estimate the associations of air pollutants with COVID-19 outcomes, adjusting for age, sex, individual- and area-level socioeconomic status, and population density. Results 138 742 individuals were infected, 11 270 were hospitalised and 2557 died from COVID-19 during 14 months. We detected associations of PM 2.5 (per 0.53 μg·m −3 ) and NO 2 (per 3.59 μg·m −3 ) with COVID-19 incidence (hazard ratio (HR) 1.10 (95% CI 1.05–1.14) and HR 1.18 (95% CI 1.14–1.23), respectively), hospitalisations (HR 1.09 (95% CI 1.01–1.17) and HR 1.19 (95% CI 1.12–1.27), respectively) and death (HR 1.23 (95% CI 1.04–1.44) and HR 1.18 (95% CI 1.03–1.34), respectively), which were strongest in the lowest socioeconomic groups and...