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.
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DOI:
10.1016/j.envpol.2022.119686
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发表时间:
2022-09-01
影响因子:
8.9
通讯作者:
Roscoe, Charlotte
Roscoe, Charlotte
中科院分区:
环境科学与生态学2区
文献类型:
--
作者:
Sheridan, Charlotte;Klompmaker, Jochem;Cummins, Steven;James, Peter;Fecht, Daniela;Roscoe, Charlotte

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调整了COVID-19重要风险因素的个人水平研究表明,长期接触空气污染(颗粒物和二氧化氮)与COVID-19感染、住院和死亡率呈正相关。然而,证据仍然有限,机制也不清楚。我们的目的是在UK Biobank中调查这些关联,并检查潜在慢性疾病作为潜在机制的作用。英国生物银行COVID-19阳性实验室检测结果通过英格兰公共卫生部和全科医生记录联系确定,通过医院事件统计确定COVID-19住院情况,并通过国家统计局2020年3月至12月的死亡率记录确定COVID-19死亡率。我们使用了居住在英格兰的英国生物样本库参与者2010年居住地址的年平均室外空气污染模型(n = 424,721)。我们从基线UK Biobank问卷回答(2006-2010)和全科医生记录联系中获得了重要的COVID-19危险因素。我们使用逻辑回归模型评估空气污染与COVID-19结果的关联,调整相关混杂因素,并进行敏感性分析。校正混杂因素和COVID-19危险因素后,我们发现细颗粒物(PM2.5)和二氧化氮(NO2)与COVID-19阳性检测结果呈正相关,比值比分别为1.05(95%置信区间(CI) = 1.02, 1.08)和1.05 (95% CI = 1.01, 1.08)。在最低调整模型中,PM 2.5和NO 2与COVID-19住院和死亡呈正相关,但在完全调整模型中没有。没有发现与PM10有关。在对已存在的慢性病进行额外调整的分析中,效应估计值并未大幅降低,这表明潜在的慢性病可能无法完全解释相关。我们发现一些证据表明,长期暴露于PM2.5和二氧化氮与英国生物银行的COVID-19阳性检测结果有关,尽管与COVID-19住院或死亡无关。
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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