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评估伊朗德黑兰短期暴露于环境空气污染物对新冠肺炎住院率的影响:一种时间分层病例交叉法。

Assessing the risks of short-term exposure to ambient air pollutants on COVID-19 hospitalizations in Tehran, Iran: a time-stratified case-crossover approach.

作者信息

Sepandi Mojtaba, Alimohamadi Yousef, Sakhaei Mohammad, Mirshafiee Amir, Alimohamadi Kolsoom

机构信息

Health Research Center, Life Style Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.

出版信息

Front Public Health. 2025 Jun 3;13:1514721. doi: 10.3389/fpubh.2025.1514721. eCollection 2025.


DOI:10.3389/fpubh.2025.1514721
PMID:40529673
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12170561/
Abstract

PURPOSE: This study aimed to evaluate the impact of both cumulative and non-cumulative exposure to air pollutants on hospitalizations due to Coronavirus Disease 2019 (COVID-19) in Tehran. METHODS: A time-stratified case-crossover approach was employed to estimate the relative risks and assess the attributable fraction and attributable number of COVID-19 hospitalizations associated with air pollution exposure. Data on hospitalizations were collected from a teaching hospital in Tehran between March 20, 2020, and September 20, 2022, and were categorized by gender and age. Air pollution data including fine particulate matter (particles with a diameter less than 2.5 micrometers), nitrogen dioxide, sulfur dioxide, coarse particulate matter (particles with a diameter less than 10 micrometers), ozone, and carbon monoxide were obtained from the Environmental Protection and Air Quality Control Organization of Tehran. Quasi-Poisson conditional regression and distributed lag non-linear models were applied to estimate the relative risk of hospitalizations associated with pollutant exposure. RESULTS: The findings indicate a significant association between exposure to fine particulate matter, nitrogen dioxide, and ozone with increased COVID-19 hospitalizations. The estimated relative risks for hospitalizations were 1.36 (95% confidence interval: 1.15-1.62), 1.17 (95% confidence interval: 1.07-1.29), and 1.37 (95% confidence interval, 1.19-1.58), respectively. No significant association was observed between coarse particulate matter exposure and hospitalizations. The number of hospitalizations attributed to ozone (6,000 cases) and nitrogen dioxide (3,300 cases) exceeded those associated with other pollutants. CONCLUSION: This study highlights the impact of air pollution on increased hospitalization risk for COVID-19. These findings underscore the urgent need for health authorities to implement stringent air quality regulations and pollution control measures to mitigate the adverse health effects of air pollution.

摘要

目的:本研究旨在评估德黑兰地区空气污染物的累积暴露和非累积暴露对2019冠状病毒病(COVID-19)住院情况的影响。 方法:采用时间分层病例交叉法来估计相对风险,并评估与空气污染暴露相关的COVID-19住院病例的归因分数和归因数量。住院数据收集自2020年3月20日至2022年9月20日期间德黑兰的一家教学医院,并按性别和年龄进行分类。空气污染数据包括细颗粒物(直径小于2.5微米的颗粒物)、二氧化氮、二氧化硫、粗颗粒物(直径小于10微米的颗粒物)、臭氧和一氧化碳,这些数据来自德黑兰环境保护与空气质量控制组织。应用准泊松条件回归和分布滞后非线性模型来估计与污染物暴露相关的住院相对风险。 结果:研究结果表明,暴露于细颗粒物、二氧化氮和臭氧与COVID-19住院人数增加之间存在显著关联。住院的估计相对风险分别为1.36(95%置信区间:1.15 - 1.62)、1.17(95%置信区间:1.07 - 1.29)和1.37(95%置信区间:1.19 - 1.58)。未观察到粗颗粒物暴露与住院之间存在显著关联。归因于臭氧(6000例)和二氧化氮(3300例)的住院病例数超过了与其他污染物相关的病例数。 结论:本研究突出了空气污染对COVID-19住院风险增加的影响。这些发现强调了卫生当局迫切需要实施严格的空气质量法规和污染控制措施,以减轻空气污染对健康的不利影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c95/12170561/afbb7f5b7e15/fpubh-13-1514721-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c95/12170561/401ba88b2894/fpubh-13-1514721-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c95/12170561/6d8cceb034db/fpubh-13-1514721-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c95/12170561/8be288545383/fpubh-13-1514721-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c95/12170561/afbb7f5b7e15/fpubh-13-1514721-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c95/12170561/401ba88b2894/fpubh-13-1514721-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c95/12170561/6d8cceb034db/fpubh-13-1514721-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c95/12170561/8be288545383/fpubh-13-1514721-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c95/12170561/afbb7f5b7e15/fpubh-13-1514721-g004.jpg

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本文引用的文献

[1]
Space-Time-Stratified Case-Crossover Design in Environmental Epidemiology Study.

Health Data Sci. 2021-10-7

[2]
Ambient dust pollution with all-cause, cardiovascular and respiratory mortality: A systematic review and meta-analysis.

Sci Total Environ. 2024-2-20

[3]
Long-term exposure to air pollution and risk of SARS-CoV-2 infection and COVID-19 hospitalisation or death: Danish nationwide cohort study.

Eur Respir J. 2023-7

[4]
Environmental factors are associated to hospital outcomes in COVID-19 patients during lockdown and post-lockdown in 2020: A nationwide study.

Environ Res. 2023-7-15

[5]
Associations of air pollution with COVID-19 positivity, hospitalisations, and mortality: Observational evidence from UK Biobank.

Environ Pollut. 2022-9-1

[6]
Association between long-term exposure to ambient air pollution and COVID-19 severity: a prospective cohort study.

CMAJ. 2022-5-24

[7]
A meta-analysis result: Uneven influences of season, geo-spatial scale and latitude on relationship between meteorological factors and the COVID-19 transmission.

Environ Res. 2022-9

[8]
Short-term exposure to ambient air pollution and individual emergency department visits for COVID-19: a case-crossover study in Canada.

Thorax. 2023-5

[9]
Long-Term Air Pollution Exposure and COVID-19 Mortality: A Patient-Level Analysis from New York City.

Am J Respir Crit Care Med. 2022-3-15

[10]
Positive association between outdoor air pollution and the incidence and severity of COVID-19. A review of the recent scientific evidences.

Environ Res. 2022-1

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