Long-Term Exposure to AIR Pollution and COVID-19 Mortality and Morbidity in DENmark:Who Is Most Susceptible? (AIRCODEN)
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| Názov: | Long-Term Exposure to AIR Pollution and COVID-19 Mortality and Morbidity in DENmark:Who Is Most Susceptible? (AIRCODEN) |
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| Autori: | Andersen, Z J, Zhang, J, Lim, Y-H, So, R, Jørgensen, J T, Mortensen, L H, Napolitano, G M, Cole-Hunter, T, Loft, S, Bhatt, S, Hoek, G, Brunekreef, B, Westendorp, Rgj, Ketzel, M, Brandt, J, Lange, T, Kølsen-Fisher, T |
| Zdroj: | Andersen , Z J , Zhang , J , Lim , Y-H , So , R , Jørgensen , J T , Mortensen , L H , Napolitano , G M , Cole-Hunter , T , Loft , S , Bhatt , S , Hoek , G , Brunekreef , B , Westendorp , R , Ketzel , M , Brandt , J , Lange , T & Kølsen-Fisher , T 2023 , ' Long-Term Exposure to AIR Pollution and COVID-19 Mortality and Morbidity in DENmark : Who Is Most Susceptible? (AIRCODEN) ' , Research report (Health Effects Institute) .... |
| Rok vydania: | 2023 |
| Zbierka: | University of Copenhagen: Research / Forskning ved Københavns Universitet |
| Predmety: | Humans, Aged, Nitrogen Dioxide/toxicity, Prospective Studies, Neurodegenerative Diseases, Environmental Exposure/adverse effects, COVID-19/epidemiology, SARS-CoV-2, Air Pollution/adverse effects, Air Pollutants/toxicity, Particulate Matter/adverse effects, Cardiovascular Diseases, Incidence, Lung Neoplasms, Denmark/epidemiology |
| Popis: | Introduction: Early ecological studies have suggested a link between air pollution and Coronavirus Diseases 2019 (COVID-19); however, the evidence from individual-level prospective cohort studies is still sparse. Here, we have examined, in a general population, whether long-term exposure to air pollution is associated with the risk of contracting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and developing severe COVID-19, resulting in hospitalization or death and who is most susceptible. We also examined whether long-term exposure to air pollution is associated with hospitalization or death due to COVID-19 in those who have tested positive for SARS-CoV-2. Methods: We included all Danish residents 30 years or older who resided in Denmark on March 1, 2020. and followed them in the National COVID-19 Surveillance System until first positive test (incidence), COVID-19 hospitalization, or death until April 26, 2021. We estimated mean levels of nitrogen dioxide (NO2), particulate matter with an aerodynamic diameter <2.5 μm (PM2.5), black carbon (BC), and ozone (O3) at cohort participants' residence in 2019 by the Danish Eulerian Hemispheric Model/Urban Background Model. We used Cox proportional hazard models to estimate the associations of air pollutants with COVID-19 incidence, hospitalization, and mortality adjusting for age, sex, and socioeconomic status (SES) at the individual and area levels. We examined effect modification by age, sex, SES (education, income, wealth, employment), and comorbidities with cardiovascular disease, respiratory disease, acute lower respiratory infections, diabetes, lung cancer, and dementia. We used logistic regression to examine association of air pollutants with COVID-19-related hospitalization or death among SARS-CoV-2 positive patients, adjusting for age, sex, individual- and area-level SES. Results: Of 3,721,810 people, 138,742 were infected, 11,270 hospitalized, and 2,557 died from COVID-19 during 14 months of follow-up. We detected strong positive associations ... |
| Druh dokumentu: | article in journal/newspaper |
| Popis súboru: | application/pdf |
| Jazyk: | English |
| Dostupnosť: | https://researchprofiles.ku.dk/da/publications/d356ccba-70d8-4f5c-b95e-99f5528f2a63 https://curis.ku.dk/ws/files/405843032/andersen_rr_214_report_accessible.pdf https://www.healtheffects.org/publication/long-term-exposure-air-pollution-and-covid-19-mortality-and-morbidity-denmark-who-most https://www.healtheffects.org/system/files/andersen-rr-214-report-accessible.pdf |
| Rights: | info:eu-repo/semantics/openAccess |
| Prístupové číslo: | edsbas.A5EF86AD |
| Databáza: | BASE |
Nájsť tento článok vo Web of Science | Abstrakt: | Introduction: Early ecological studies have suggested a link between air pollution and Coronavirus Diseases 2019 (COVID-19); however, the evidence from individual-level prospective cohort studies is still sparse. Here, we have examined, in a general population, whether long-term exposure to air pollution is associated with the risk of contracting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and developing severe COVID-19, resulting in hospitalization or death and who is most susceptible. We also examined whether long-term exposure to air pollution is associated with hospitalization or death due to COVID-19 in those who have tested positive for SARS-CoV-2. Methods: We included all Danish residents 30 years or older who resided in Denmark on March 1, 2020. and followed them in the National COVID-19 Surveillance System until first positive test (incidence), COVID-19 hospitalization, or death until April 26, 2021. We estimated mean levels of nitrogen dioxide (NO2), particulate matter with an aerodynamic diameter <2.5 μm (PM2.5), black carbon (BC), and ozone (O3) at cohort participants' residence in 2019 by the Danish Eulerian Hemispheric Model/Urban Background Model. We used Cox proportional hazard models to estimate the associations of air pollutants with COVID-19 incidence, hospitalization, and mortality adjusting for age, sex, and socioeconomic status (SES) at the individual and area levels. We examined effect modification by age, sex, SES (education, income, wealth, employment), and comorbidities with cardiovascular disease, respiratory disease, acute lower respiratory infections, diabetes, lung cancer, and dementia. We used logistic regression to examine association of air pollutants with COVID-19-related hospitalization or death among SARS-CoV-2 positive patients, adjusting for age, sex, individual- and area-level SES. Results: Of 3,721,810 people, 138,742 were infected, 11,270 hospitalized, and 2,557 died from COVID-19 during 14 months of follow-up. We detected strong positive associations ... |
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