Department of Environmental and Occupational Health, Public Health Ontario, Toronto, ON, Canada.
Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.
Int J Epidemiol. 2018 Dec 1;47(6):2038-2048. doi: 10.1093/ije/dyy172.
Despite recent studies linking air pollution to neurodegenerative illness, evidence relating air pollution and Parkinson's disease (PD) remains scarce. We conducted a population-based cohort study in Ontario, Canada, to determine the association between air pollution and incident PD.
Using health administrative databases, we identified all adults aged 55-85 years, free of PD, and who lived in Ontario on 1 April 2001 (∼2.2 million). Individuals were followed up until 31 March 2013. We derived long-term average exposures to fine particulate matter (particles ≤2.5 µm in diameter, or PM2.5), nitrogen dioxide (NO2) and ozone from satellite-based estimates, land-use regression models and optimal interpolation methods, respectively. Using 2-year lags in exposures, we linked these estimates to individuals' annual postal codes from 1994 (7 years before cohort inception). We applied spatial random-effects Cox proportional hazards models, adjusting for individual- and area-level characteristics. We also performed sensitivity analyses, such as considering longer lags in exposures and stratifying by selected characteristics.
During the study period, we identified 38 745 newly diagnosed cases of PD. Each interquartile increment (3.8 µg/m3) of PM2.5 was associated with a 4% increase in incident PD (95% confidence interval, 1.01-1.08) after adjusting for various covariates. We also found positive associations for NO2 and ozone [hazard ratios (HRs) ranged from 1.03 to 1.04]. The associations for all exposures were unaltered with various sensitivity analyses except for considering longer lags, which somewhat attenuated the estimates, particularly for NO2 and ozone.
Exposure to air pollution, especially PM2.5, was found to be related to incident PD.
尽管最近的研究将空气污染与神经退行性疾病联系起来,但与空气污染和帕金森病(PD)相关的证据仍然很少。我们在加拿大安大略省进行了一项基于人群的队列研究,以确定空气污染与 PD 发病之间的关联。
我们使用健康管理数据库,确定了所有年龄在 55-85 岁之间、无 PD 且于 2001 年 4 月 1 日(约 220 万人)居住在安大略省的成年人。对参与者进行随访,直至 2013 年 3 月 31 日。我们从卫星估计、基于土地使用的回归模型和最佳插值方法分别得出了细颗粒物(直径≤2.5µm 的颗粒,或 PM2.5)、二氧化氮(NO2)和臭氧的长期平均暴露水平。使用暴露量的 2 年滞后值,我们将这些估计值与个人从 1994 年(队列起始前 7 年)的每年邮政编码联系起来。我们采用空间随机效应 Cox 比例风险模型,调整个体和区域水平的特征。我们还进行了敏感性分析,例如考虑暴露量的更长滞后值和按选定特征分层。
在研究期间,我们确定了 38745 例新诊断的 PD 病例。在调整了各种协变量后,PM2.5 的每四分位增量(3.8µg/m3)与 PD 发病风险增加 4%(95%置信区间,1.01-1.08)相关。我们还发现 NO2 和臭氧呈正相关[风险比(HR)范围为 1.03-1.04]。除了考虑更长的滞后时间外,所有暴露的关联在各种敏感性分析中均未改变,这在一定程度上削弱了估计值,特别是对 NO2 和臭氧。
暴露于空气污染,特别是 PM2.5,与 PD 发病有关。