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厄瓜多尔基多市户外空气污染对呼吸健康的影响及地方风险沟通的效果。

Respiratory Health Impacts of Outdoor Air Pollution and the Efficacy of Local Risk Communication in Quito, Ecuador.

机构信息

Marron Institute of Urban Management, New York University, Brooklyn, NY 11201, USA.

Department of Environmental Medicine, New York University Grossman School of Medicine, New York, NY 10010, USA.

出版信息

Int J Environ Res Public Health. 2023 Jul 8;20(14):6326. doi: 10.3390/ijerph20146326.

Abstract

Relatively few studies on the adverse health impacts of outdoor air pollution have been conducted in Latin American cities, whose pollutant mixtures and baseline health risks are distinct from North America, Europe, and Asia. This study evaluates respiratory morbidity risk associated with ambient air pollution in Quito, Ecuador, and specifically evaluates if the local air quality index accurately reflects population-level health risks. Poisson generalized linear models using air pollution, meteorological, and hospital admission data from 2014 to 2015 were run to quantify the associations of air pollutants and index values with respiratory outcomes in single- and multi-pollutant models. Significant associations were observed for increased respiratory hospital admissions and ambient concentrations of fine particulate matter (PM), ozone (O), nitrogen dioxide (NO), and sulfur dioxide (SO), although some of these associations were attenuated in two-pollutant models. Significant associations were also observed for index values, but these values were driven almost entirely by daily O concentrations. Modifications to index formulation to more fully incorporate the health risks of multiple pollutants, particularly for NO, have the potential to greatly improve risk communication in Quito. This work also increases the equity of the existing global epidemiological literature by adding new air pollution health risk values from a highly understudied region of the world.

摘要

在拉丁美洲城市进行的有关户外空气污染对健康的不良影响的研究相对较少,这些城市的污染物混合物和基线健康风险与北美、欧洲和亚洲不同。本研究评估了厄瓜多尔基多市大气污染与呼吸发病率的相关性,并特别评估了当地空气质量指数是否准确反映了人群健康风险。使用 2014 年至 2015 年的空气污染、气象和住院数据,通过泊松广义线性模型,在单污染物和多污染物模型中量化了污染物和指数值与呼吸结果的相关性。观察到呼吸住院和细颗粒物(PM)、臭氧(O)、二氧化氮(NO)和二氧化硫(SO)的环境浓度与呼吸发病率增加之间存在显著相关性,尽管这些相关性在双污染物模型中有所减弱。指数值也存在显著相关性,但这些值主要是由每日 O 浓度驱动的。对指数公式进行修改,以更充分地纳入多种污染物的健康风险,特别是对 NO 的健康风险,有可能极大地改善基多的风险沟通。这项工作还通过从世界上一个研究相对较少的地区添加新的空气污染健康风险值,增加了现有全球流行病学文献的公平性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4522/10379231/00bec4a23dea/ijerph-20-06326-g0A1.jpg

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