Atkinson Richard W, Analitis Antonis, Samoli Evangelia, Fuller Gary W, Green David C, Mudway Ian S, Anderson Hugh R, Kelly Frank J
Population Health Research Institute and MRC-PHE Centre for Environment and Health, St George's, University of London, Cranmer Terrace, London, UK.
Department of Hygiene, Epidemiology and Medical Statistics, Medical School, University of Athens, Athens, Greece.
J Expo Sci Environ Epidemiol. 2016 Mar-Apr;26(2):125-32. doi: 10.1038/jes.2015.65. Epub 2015 Oct 14.
Epidemiological studies have linked daily concentrations of urban air pollution to mortality, but few have investigated specific traffic sources that can inform abatement policies. We assembled a database of >100 daily, measured and modelled pollutant concentrations characterizing air pollution in London between 2011 and 2012. Based on the analyses of temporal patterns and correlations between the metrics, knowledge of local emission sources and reference to the existing literature, we selected, a priori, markers of traffic pollution: oxides of nitrogen (general traffic); elemental and black carbon (EC/BC) (diesel exhaust); carbon monoxide (petrol exhaust); copper (tyre), zinc (brake) and aluminium (mineral dust). Poisson regression accounting for seasonality and meteorology was used to estimate the percentage change in risk of death associated with an interquartile increment of each pollutant. Associations were generally small with confidence intervals that spanned 0% and tended to be negative for cardiovascular mortality and positive for respiratory mortality. The strongest positive associations were for EC and BC adjusted for particle mass and respiratory mortality, 2.66% (95% confidence interval: 0.11, 5.28) and 2.72% (0.09, 5.42) per 0.8 and 1.0 μg/m(3), respectively. These associations were robust to adjustment for other traffic metrics and regional pollutants, suggesting a degree of specificity with respiratory mortality and diesel exhaust containing EC/BC.
流行病学研究已将城市空气污染的日浓度与死亡率联系起来,但很少有研究调查可用于指导减排政策的具体交通污染源。我们收集了一个数据库,其中包含2011年至2012年期间伦敦空气污染的100多个每日测量和模拟的污染物浓度。基于对指标之间时间模式和相关性的分析、当地排放源的知识以及对现有文献的参考,我们事先选择了交通污染的标志物:氮氧化物(一般交通);元素碳和黑碳(EC/BC)(柴油尾气);一氧化碳(汽油尾气);铜(轮胎)、锌(刹车)和铝(矿物粉尘)。使用考虑季节性和气象因素的泊松回归来估计与每种污染物四分位间距增量相关的死亡风险百分比变化。关联通常较小,置信区间涵盖0%,并且对心血管死亡率往往为负,对呼吸死亡率往往为正。最强的正相关是针对调整颗粒物质量后的EC和BC与呼吸死亡率,每0.8和1.0μg/m³分别为2.66%(95%置信区间:0.11,5.28)和2.72%(0.09,5.42)。这些关联在调整其他交通指标和区域污染物后仍然稳健,表明与呼吸死亡率和含有EC/BC的柴油尾气存在一定程度的特异性。