与交通有关的空气污染、道路交通噪声和帕金森病:两项荷兰队列研究的评估

IF 3.3 Q2 ENVIRONMENTAL SCIENCES
Jara Lomme, M. Reedijk, Susan Peters, G. Downward, Magdalini Stefanopoulou, Roel C. H. Vermeulen, A. Huss
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引用次数: 0

摘要

背景:空气污染等环境因素与帕金森病(PD)有关,但研究结果并不一致。我们在两个荷兰队列中调查了暴露于几种空气污染物、道路交通噪音与帕金森病风险之间的关系。研究方法我们分析了来自两项荷兰人群队列研究--荷兰癌症和营养欧洲前瞻性调查和Arbeid, Milieu en Gezondheid Onderzoek--的50,087名参与者的数据。在这些队列研究中,根据之前通过验证的算法,结合自我报告信息(诊断、用药和症状)和登记数据,确定了 235 例帕金森病病例。我们为基线居住地址分配了以下与交通相关的暴露:二氧化氮(NO2)、氮氧化物(NOx)、颗粒物(PM)2.5吸光度(作为黑碳暴露的标记)、空气动力学直径≤2.5微米的颗粒物(PM2.5)、≤10微米的颗粒物(PM10)、粗颗粒物(尺寸分数为2.5-10微米)、小于0.1微米的超细颗粒物(UFP)和道路交通噪声(Lden)。在对可能的混杂因素进行调整后,采用逻辑回归模型来研究与肺结核的关系。研究结果单污染物和双污染物模型均表明,暴露于氮氧化物和道路交通噪声与罹患前列腺增生症的几率增加之间存在关联。在完全调整的双污染物模型中,暴露量最高的四分位数与暴露量最低的四分位数相比,氮氧化物的患病几率比为 1.62(95% CI = 1.02,2.62),道路交通噪声的患病几率比为 1.47(95% CI = 0.97,2.25),不同暴露类别的患病几率比趋势明显。结论我们的研究结果表明,氮氧化物和道路交通噪声与猝死症风险的增加有关。虽然与氮氧化物的关系以前就已显示过,但仍有必要进一步调查环境噪声对帕金森病的可能作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Traffic-related air pollution, road traffic noise, and Parkinson’s disease: Evaluations in two Dutch cohort studies
Background: Environmental factors such as air pollution have been associated with Parkinson’s disease (PD), but findings have been inconsistent. We investigated the association between exposure to several air pollutants, road traffic noise, and PD risk in two Dutch cohorts. Methods: Data from 50,087 participants from two Dutch population-based cohort studies, European Prospective Investigation into Cancer and Nutrition in the Netherlands and Arbeid, Milieu en Gezondheid Onderzoek were analyzed. In these cohorts, 235 PD cases were ascertained based on a previously validated algorithm combining self-reported information (diagnosis, medication, and symptoms) and registry data. We assigned the following traffic-related exposures to residential addresses at baseline: NO2, NOx, particulate matter (PM)2.5absorbance (as a marker for black carbon exposure), PM with aerodynamic diameter ≤2.5 µm (PM2.5), ≤10 µm (PM10), PMcoarse (size fraction 2.5–10 µm), ultrafine particles <0.1 µm (UFP), and road traffic noise (Lden). Logistic regression models were applied to investigate the associations with PD, adjusted for possible confounders. Results: Both single- and two-pollutant models indicated associations between exposure to NOx, road traffic noise, and increasing odds of developing PD. Odds ratios of fully adjusted two-pollutant models in the highest compared with the lowest exposure quartile were 1.62 (95% CI = 1.02, 2.62) for NOx and 1.47 (95% CI = 0.97, 2.25) for road traffic noise, with clear trends across exposure categories. Conclusions: Our findings suggest that NOx and road traffic noise are associated with an increased risk of PD. While the association with NOx has been shown before, further investigation into the possible role of environmental noise on PD is warranted.
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来源期刊
Environmental Epidemiology
Environmental Epidemiology Medicine-Public Health, Environmental and Occupational Health
CiteScore
5.70
自引率
2.80%
发文量
71
审稿时长
25 weeks
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