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Associations of air pollution with COVID-19 positivity, hospitalisations, and mortality: Observational evidence from UK Biobank.
Sheridan, Charlotte; Klompmaker, Jochem; Cummins, Steven; James, Peter; Fecht, Daniela; Roscoe, Charlotte.
  • Sheridan C; London School of Hygiene & Tropical Medicine, Keppel St., London, WC1E 7HT, United Kingdom. Electronic address: charlotte.sheridan1@lshtm.ac.uk.
  • Klompmaker J; Department of Environmental Health, Harvard T.H. Chan School of Public Health, 655 Huntington Avenue, Boston, MA, 02115, United States. Electronic address: jklompmaker@hsph.harvard.edu.
  • Cummins S; Population Health Innovation Lab, Department of Public Health, Environments and Society, Faculty of Public Health and Policy, London School of Hygiene & Tropical Medicine, Keppel St., London, United Kingdom. Electronic address: Steven.Cummins@lshtm.ac.uk.
  • James P; Department of Environmental Health, Harvard T.H. Chan School of Public Health, 655 Huntington Avenue, Boston, MA, 02115, United States; Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, 401 Park Drive, Suite 401 East, Boston, MA, 02215, United State
  • Fecht D; MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Medicine, St Mary's Campus, Imperial College London, London, W2 1PG, United Kingdom. Electronic address: d.fecht@imperial.ac.uk.
  • Roscoe C; Department of Environmental Health, Harvard T.H. Chan School of Public Health, 655 Huntington Avenue, Boston, MA, 02115, United States; MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Medicine, St Mary's Campus, Imperial College London, London, W2 1PG,
Environ Pollut ; 308: 119686, 2022 Sep 01.
Article in English | MEDLINE | ID: covidwho-1914335
ABSTRACT
Individual-level studies with adjustment for important COVID-19 risk factors suggest positive associations of long-term air pollution exposure (particulate matter and nitrogen dioxide) with COVID-19 infection, hospitalisations and mortality. The evidence, however, remains limited and mechanisms unclear. We aimed to investigate these associations within UK Biobank, and to examine the role of underlying chronic disease as a potential mechanism. UK Biobank COVID-19 positive laboratory test results were ascertained via Public Health England and general practitioner record linkage, COVID-19 hospitalisations via Hospital Episode Statistics, and COVID-19 mortality via Office for National Statistics mortality records from March-December 2020. We used annual average outdoor air pollution modelled at 2010 residential addresses of UK Biobank participants who resided in England (n = 424,721). We obtained important COVID-19 risk factors from baseline UK Biobank questionnaire responses (2006-2010) and general practitioner record linkage. We used logistic regression models to assess associations of air pollution with COVID-19 outcomes, adjusted for relevant confounders, and conducted sensitivity analyses. We found positive associations of fine particulate matter (PM2.5) and nitrogen dioxide (NO2) with COVID-19 positive test result after adjustment for confounders and COVID-19 risk factors, with odds ratios of 1.05 (95% confidence intervals (CI) = 1.02, 1.08), and 1.05 (95% CI = 1.01, 1.08), respectively. PM 2.5 and NO 2 were positively associated with COVID-19 hospitalisations and deaths in minimally adjusted models, but not in fully adjusted models. No associations for PM10 were found. In analyses with additional adjustment for pre-existing chronic disease, effect estimates were not substantially attenuated, indicating that underlying chronic disease may not fully explain associations. We found some evidence that long-term exposure to PM2.5 and NO2 was associated with a COVID-19 positive test result in UK Biobank, though not with COVID-19 hospitalisations or deaths.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Air Pollutants / Air Pollution / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Country/Region as subject: Europa Language: English Journal: Environ Pollut Journal subject: Environmental Health Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Air Pollutants / Air Pollution / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Country/Region as subject: Europa Language: English Journal: Environ Pollut Journal subject: Environmental Health Year: 2022 Document Type: Article