Short-term exposure to ambient nitrogen dioxide and fine particulate matter and cause-specific mortality: A causal modeling approach in four regions

IF 7.3 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Environmental Pollution Pub Date : 2025-05-01 Epub Date: 2025-03-13 DOI:10.1016/j.envpol.2025.126059
Anne Marb , Yiqun Ma , Federica Nobile , Robert Dubrow , Patrick L. Kinney , Massimo Stafoggia , Kai Chen , Annette Peters , Susanne Breitner
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Abstract

Ambient air pollution still represents a major health burden. While the link between short-term air pollution exposures and mortality has been well-documented globally, few studies have applied causal modeling approaches. Therefore, we aimed to quantify the relationship between day-to-day changes in ambient particulate matter with an aerodynamic diameter ≤2.5 μm (PM2.5) and nitrogen dioxide (NO2) levels and changes in daily natural, cardiovascular (including all-cardiovascular, cardiac, and stroke), as well as respiratory mortality rates using a causal modeling framework. Daily air pollution data and cause-specific death counts at the county, district, or municipality level from California (US), Jiangsu (China), Germany, and Lazio (Italy) were obtained for the years 2015–2019, including urban and rural populations. We used interactive fixed effects models to analyze the effects of air pollutants across different lag periods (0–2, 3–7, and 0–7 days after exposure) while accounting for both measured and unmeasured time-varying spatial unit-specific confounding factors. We observed increases in daily cardiovascular deaths (per 1 million people) per a 10 μg/m3 increase in daily NO2 at lag 0–7: 0.18 (95 % confidence interval: 0.02, 0.38) in California, 0.23 (0.14, 0.32) in Jiangsu, 0.48 (0.27, 0.70) in Germany, and −0.35 (−2.63, 1.92) in Lazio. For PM2.5, the related increases in cardiovascular mortality rates were 0.00 (−0.18, 0.18) in California, 0.04 (0.00, 0.09) in Jiangsu, 0.22 (0.06, 0.37) in Germany, and 1.96 (0.76, 3.16) in Lazio. Additionally, associations were seen for natural, cardiac, stroke, and respiratory mortality, particularly pronounced among individuals aged 75 and older. These associations were strongest with prolonged exposures and remained consistent even in two-pollutant models. This study, using a causal modeling approach and including urban and rural populations, contributes to the growing body of evidence linking increases in short-term exposure to NO2 and PM2.5 with increased cause-specific mortality rates.

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短期暴露于环境二氧化氮和细颗粒物与原因特异性死亡率:四个地区的因果模型方法
环境空气污染仍然是一个主要的健康负担。虽然短期空气污染暴露与死亡率之间的联系已在全球得到充分记录,但很少有研究应用因果模型方法。因此,我们旨在使用因果模型框架量化空气动力学直径≤2.5 μm的环境颗粒物(PM2.5)和二氧化氮(NO2)水平的日常变化与日常自然、心血管(包括全心血管、心脏和中风)以及呼吸系统死亡率的变化之间的关系。获得了2015年至2019年美国加利福尼亚州、中国江苏省、德国和意大利拉齐奥县、区或直辖市的每日空气污染数据和死因特异性死亡计数,包括城市和农村人口。我们使用交互式固定效应模型来分析空气污染物在不同滞后期(暴露后0-2天、3-7天和0-7天)的影响,同时考虑了测量和未测量的时变空间单元特异性混杂因素。我们观察到,在滞后0-7时,每日二氧化氮浓度每增加10 μg/m3,每日心血管死亡人数(每100万人)增加:加利福尼亚为0.18(95%可信区间:-0.02,0.38),江苏为0.23(0.14,0.32),德国为0.48(0.27,0.70),拉齐奥为-0.35(-2.63,1.92)。与PM2.5相关的心血管死亡率增幅分别为:加州0.00(-0.18,0.18)、江苏0.04(0.00,0.09)、德国0.22(0.06,0.37)、拉齐奥1.96(0.76,3.16)。此外,自然死亡率、心脏病死亡率、中风死亡率和呼吸系统死亡率也存在关联,尤其是在75岁及以上的人群中。这些关联在长时间暴露中最强,即使在双污染物模型中也保持一致。这项研究采用了因果模型方法,包括城市和农村人口,为越来越多的证据提供了证据,证明短期暴露于二氧化氮和PM2.5的增加与特定原因死亡率的增加有关。
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来源期刊
Environmental Pollution
Environmental Pollution 环境科学-环境科学
CiteScore
16.00
自引率
6.70%
发文量
2082
审稿时长
2.9 months
期刊介绍: Environmental Pollution is an international peer-reviewed journal that publishes high-quality research papers and review articles covering all aspects of environmental pollution and its impacts on ecosystems and human health. Subject areas include, but are not limited to: • Sources and occurrences of pollutants that are clearly defined and measured in environmental compartments, food and food-related items, and human bodies; • Interlinks between contaminant exposure and biological, ecological, and human health effects, including those of climate change; • Contaminants of emerging concerns (including but not limited to antibiotic resistant microorganisms or genes, microplastics/nanoplastics, electronic wastes, light, and noise) and/or their biological, ecological, or human health effects; • Laboratory and field studies on the remediation/mitigation of environmental pollution via new techniques and with clear links to biological, ecological, or human health effects; • Modeling of pollution processes, patterns, or trends that is of clear environmental and/or human health interest; • New techniques that measure and examine environmental occurrences, transport, behavior, and effects of pollutants within the environment or the laboratory, provided that they can be clearly used to address problems within regional or global environmental compartments.
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