Department of Environmental Health, Center for Public Health, Medical University Vienna, 1090 Vienna, Austria.
Department of Hygiene, Medical University of Karakalpakstan, Uzbekistan, Nukus 230100, Uzbekistan.
Int J Environ Res Public Health. 2020 May 25;17(10):3733. doi: 10.3390/ijerph17103733.
In epidemiological studies, both spatial and temporal variations in nitrogen dioxide (NO) are a robust predictor of health risks. Compared to particulate matter, the experimental evidence for harmful effects at typical ambient concentrations is less extensive and not as clear for NO. In the wake of the "Diesel emission scandal-Dieselgate", the scientific basis of current limit values for ambient NO concentrations was attacked by industry lobbyists. It was argued that associations between NO levels and medical endpoints were not causal, as NO in older studies served as a proxy for aggressive particulate matter from incineration processes. With the introduction of particle filters in diesel cars, NO would have lost its meaning as a health indicator. Austria has a high percentage of diesel-powered cars (56%). If, indeed, associations between NO concentrations and health risks in previous studies were only due to older engines without a particle filter, we should expect a reduction in effect estimates over time as an increasing number of diesel cars on the roads were outfitted with particle filters. In previous time series studies from Vienna over shorter time intervals, we have demonstrated distributed lag effects over days up to two weeks and previous day effects of NO on total mortality. In a simplified model, we now assess the effect estimates for moving 5-year periods from the beginning of NO monitoring in Vienna (1987) until the year 2018 of same and previous day NO on total daily mortality. Contrary to industry claims of a spurious, no longer valid indicator function of NO, effect estimates remained fairly stable, indicating an increase in total mortality of previous day NO by 0.52% (95% CI: 0.35-0.7%) per 10 µg/m change in NO concentration.
在流行病学研究中,二氧化氮(NO)的时空变化是健康风险的一个强有力的预测指标。与颗粒物相比,NO 在典型环境浓度下产生有害影响的实验证据还不够广泛,也不够明确。在“柴油排放丑闻-柴油门”事件之后,当前环境 NO 浓度限值的科学依据受到了行业游说者的攻击。他们认为,NO 水平与医疗终点之间的关联不是因果关系,因为在早期研究中,NO 是来自焚烧过程的侵袭性颗粒物的替代物。随着柴油车中颗粒过滤器的引入,NO 将不再作为健康指标。奥地利有很高比例的柴油车(56%)。如果之前研究中 NO 浓度与健康风险之间的关联确实仅仅是由于没有颗粒过滤器的旧发动机造成的,那么随着道路上越来越多的柴油车配备了颗粒过滤器,我们应该预计随着时间的推移,效应估计值会降低。在之前来自维也纳的较短时间间隔的时间序列研究中,我们已经证明了在一天到两周的时间内存在滞后效应,以及前一天 NO 对总死亡率的影响。在一个简化的模型中,我们现在评估从维也纳 NO 监测开始(1987 年)到 2018 年的 5 年移动期内,当日和前一天的 NO 对总日死亡率的影响估计值。与行业声称 NO 的指示函数是虚假的、不再有效的观点相反,效应估计值仍然相当稳定,表明前一天 NO 浓度每增加 10µg/m,总死亡率增加 0.52%(95%CI:0.35-0.7%)。