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长期暴露于空气污染与新型冠状病毒肺炎发病率:意大利北部瓦雷泽市居民的一项前瞻性研究

Long-term exposure to air pollution and COVID-19 incidence: a prospective study of residents in the city of Varese, Northern Italy.

作者信息

Veronesi Giovanni, De Matteis Sara, Calori Giuseppe, Pepe Nicola, Ferrario Marco M

机构信息

Research Center in Epidemiology and Preventive Medicine, Department of Medicine and Surgery, University of Insubria, Varese, Italy

Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy.

出版信息

Occup Environ Med. 2022 Mar;79(3):192-199. doi: 10.1136/oemed-2021-107833. Epub 2022 Jan 10.

Abstract

OBJECTIVES

To investigate the association between long-term exposure to airborne pollutants and the incidence of SARS-CoV-2 up to March 2021 in a prospective study of residents in Varese city.

METHODS

Citizens of Varese aged ≥18 years as of 31 December 2019 were linked by residential address to 2018 average annual exposure to outdoor concentrations of PM, PM, NO, NO and ozone modelled using the Flexible Air quality Regional Model (FARM) chemical transport model. Citizens were further linked to regional datasets for COVID-19 case ascertainment (positive nasopharyngeal swab specimens) and to define age, sex, living in a residential care home, population density and comorbidities. We estimated rate ratios and additional numbers of cases per 1 µg/m increase in air pollutants from single- and bi-pollutant Poisson regression models.

RESULTS

The 62 848 residents generated 4408 cases. Yearly average PM exposure was 12.5 µg/m. Age, living in a residential care home, history of stroke and medications for diabetes, hypertension and obstructive airway diseases were independently associated with COVID-19. In single-pollutant multivariate models, PM was associated with a 5.1% increase in the rate of COVID-19 (95% CI 2.7% to 7.5%), corresponding to 294 additional cases per 100 000 person-years. The association was confirmed in bi-pollutant models; excluding subjects in residential care homes; and further adjusting for area-based indicators of socioeconomic level and use of public transportation. Similar findings were observed for PM, NO and NO. Ozone was associated with a 2% decrease in disease rate, the association being reversed in bi-pollutant models.

CONCLUSIONS

Long-term exposure to low levels of air pollutants, especially PM, increased the incidence of COVID-19. The causality warrants confirmation in future studies; meanwhile, government efforts to further reduce air pollution should continue.

摘要

目的

在一项针对瓦雷泽市居民的前瞻性研究中,调查截至2021年3月长期暴露于空气污染物与新冠病毒感染率之间的关联。

方法

将截至2019年12月31日年龄≥18岁的瓦雷泽市居民,根据居住地址与2018年使用灵活空气质量区域模型(FARM)化学传输模型模拟的室外PM、PM、NO、NO和臭氧年均暴露量进行关联。居民还与用于新冠确诊病例(鼻咽拭子阳性标本)的区域数据集进行关联,并确定年龄、性别、居住在养老院、人口密度和合并症情况。我们通过单污染物和双污染物泊松回归模型,估计了空气污染物每增加1µg/m时的发病率比及额外病例数。

结果

62848名居民中有4408例病例。年均PM暴露量为12.5µg/m。年龄、居住在养老院、中风病史以及糖尿病、高血压和阻塞性气道疾病的用药情况与新冠病毒感染独立相关。在单污染物多变量模型中,PM与新冠病毒感染率增加5.1%相关(95%CI 2.7%至7.5%),相当于每10万人年增加294例病例。在双污染物模型中、排除养老院中的受试者以及进一步调整社会经济水平的区域指标和公共交通使用情况后,该关联得到证实。对于PM、NO和NO也观察到类似结果。臭氧与疾病率降低2%相关,在双污染物模型中该关联逆转。

结论

长期暴露于低水平空气污染物,尤其是PM,会增加新冠病毒感染率。因果关系有待未来研究证实;与此同时,政府进一步减少空气污染的努力应持续进行。

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