Occupational and Environmental Medicine, Epidemiology and Hygiene Department, Italian Workers' Compensation Authority (INAIL), Monte Porzio Catone (RM), Italy.
Simularia, Turin, Italy.
Environ Res. 2021 Jan;192:110351. doi: 10.1016/j.envres.2020.110351. Epub 2020 Oct 31.
Long-term exposure to air pollution has been related to mortality in several epidemiological studies. The investigations have assessed exposure using various methods achieving different accuracy in predicting air pollutants concentrations. The comparison of the health effects estimates are therefore challenging. This paper aims to compare the effect estimates of the long-term effects of air pollutants (particulate matter with aerodynamic diameter less than 10 μm, PM, and nitrogen dioxide, NO) on cause-specific mortality in the Rome Longitudinal Study, using exposure estimates obtained with different models and spatial resolutions. Annual averages of NO and PM were estimated for the year 2015 in a large portion of the Rome urban area (12 × 12 km) applying three modelling techniques available at increasing spatial resolution: 1) a chemical transport model (CTM) at 1km resolution; 2) a land-use random forest (LURF) approach at 200m resolution; 3) a micro-scale Lagrangian particle dispersion model (PMSS) taking into account the effect of buildings structure at 4 m resolution with results post processed at different buffer sizes (12, 24, 52, 100 and 200 m). All the exposures were assigned at the residential addresses of 482,259 citizens of Rome 30+ years of age who were enrolled on 2001 and followed-up till 2015. The association between annual exposures and natural-cause, cardiovascular (CVD) and respiratory (RESP) mortality were estimated using Cox proportional hazards models adjusted for individual and area-level confounders. We found different distributions of both NO and PM concentrations, across models and spatial resolutions. Natural cause and CVD mortality outcomes were all positively associated with NO and PM regardless of the model and spatial resolution when using a relative scale of the exposure such as the interquartile range (IQR): adjusted Hazard Ratios (HR), and 95% confidence intervals (CI), of natural cause mortality, per IQR increments in the two pollutants, ranged between 1.012 (1.004, 1.021) and 1.018 (1.007, 1.028) for the different NO estimates, and between 1.010 (1.000, 1.020) and 1.020 (1.008, 1.031) for PM, with a tendency of larger effect for lower resolution exposures. The latter was even stronger when a fixed value of 10 μg/m is used to calculate HRs. Long-term effects of air pollution on mortality in Rome were consistent across different models for exposure assessment, and different spatial resolutions.
长期暴露于空气污染与几项流行病学研究中的死亡率有关。这些研究使用各种方法评估暴露情况,这些方法在预测空气污染物浓度方面的准确性各不相同。因此,比较健康影响估计值具有挑战性。本文旨在比较使用不同模型和空间分辨率获得的空气污染(空气动力学直径小于 10μm 的颗粒物,PM 和二氧化氮,NO)长期影响对罗马纵向研究中特定原因死亡率的影响估计值。为了估计 2015 年罗马市区大部分地区(12×12km)的 NO 和 PM 年平均值,应用了三种可获得的建模技术,这些技术的空间分辨率逐渐提高:1)化学输送模型(CTM)分辨率为 1km;2)土地利用随机森林(LURF)方法,分辨率为 200m;3)微尺度拉格朗日粒子扩散模型(PMSS),考虑到建筑物结构的影响,分辨率为 4m,结果以不同的缓冲区大小(12、24、52、100 和 200m)进行后处理。所有暴露值均分配给罗马市 30 岁以上的 482,259 名公民的居住地址,这些公民于 2001 年注册,并随访至 2015 年。使用 Cox 比例风险模型估计年度暴露值与自然原因、心血管(CVD)和呼吸(RESP)死亡率之间的关联,该模型调整了个体和地区水平的混杂因素。我们发现,无论模型和空间分辨率如何,NO 和 PM 浓度的分布都不同。自然原因和 CVD 死亡率均与 NO 和 PM 呈正相关,而与模型和空间分辨率无关,使用暴露的相对比例(例如四分位距(IQR))时:两种污染物每 IQR 增加的自然原因死亡率的调整后的危害比(HR)和 95%置信区间(CI),不同的 NO 估计值介于 1.012(1.004、1.021)和 1.018(1.007、1.028)之间,PM 介于 1.010(1.000、1.020)和 1.020(1.008、1.031)之间,较低分辨率的暴露作用更大。当使用固定值 10μg/m 计算 HR 时,后者更为明显。罗马的空气污染对死亡率的长期影响在不同的暴露评估模型和不同的空间分辨率之间是一致的。