Associations of air pollution with COVID-19 positivity, hospitalisations, and mortality: Observational evidence from UK Biobank.
Associations of air pollution with COVID-19 positivity, hospitalisations, and mortality: Observational evidence from UK Biobank.
复制标题
DOI:
10.1016/j.envpol.2022.119686
复制
发表时间:
2022-09-01
影响因子:
8.9
通讯作者:
Roscoe, Charlotte
中科院分区:
文献类型:
--
作者:
Sheridan, Charlotte;Klompmaker, Jochem;Cummins, Steven;James, Peter;Fecht, Daniela;Roscoe, Charlotte
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.
登录
查看更多内容
影响因子:
6.7
作者:
Burton JK;Reid M;Gribben C;Caldwell D;Clark DN;Hanlon P;Quinn TJ;Fischbacher C;Knight P;Guthrie B;McAllister DA
通讯作者:
McAllister DA
DOI:
10.1016/j.lanepe.2021.100038
发表时间:
2021-04
期刊:
The Lancet regional health. Europe
影响因子:
--
作者:
Jeffery-Smith A;Dun-Campbell K;Janarthanan R;Fok J;Crawley-Boevey E;Vusirikala A;Fernandez Ruiz De Olano E;Sanchez Perez M;Tang S;Rowland TA;Wynne-Evans E;Bell A;Patel B;Amin-Chowdhury Z;Aiano F;Paranthaman K;Ma T;Saavedra-Campos M;Ellis J;Lackenby A;Whitaker H;Myers R;Höschler K;Brown K;Ramsay ME;Shetty N;Chow JY;Ladhani S;Zambon M
通讯作者:
Zambon M
影响因子:
10.4
作者:
Kogevinas M;Castaño-Vinyals G;Karachaliou M;Espinosa A;de Cid R;Garcia-Aymerich J;Carreras A;Cortés B;Pleguezuelos V;Jiménez A;Vidal M;O'Callaghan-Gordo C;Cirach M;Santano R;Barrios D;Puyol L;Rubio R;Izquierdo L;Nieuwenhuijsen M;Dadvand P;Aguilar R;Moncunill G;Dobaño C;Tonne C
通讯作者:
Tonne C
影响因子:
11.8
作者:
Konstantinoudis G;Padellini T;Bennett J;Davies B;Ezzati M;Blangiardo M
通讯作者:
Blangiardo M
影响因子:
11.8
作者:
Marquès M;Correig E;Ibarretxe D;Anoro E;Antonio Arroyo J;Jericó C;Borrallo RM;Miret M;Näf S;Pardo A;Perea V;Pérez-Bernalte R;Ramírez-Montesinos R;Royuela M;Soler C;Urquizu-Padilla M;Zamora A;Pedro-Botet J;STACOV-XULA research group;Masana L;Domingo JL
通讯作者:
Domingo JL