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Air pollution exposure estimation using dispersion modelling and continuous monitoring data in a prospective birth cohort study in the Netherlands

机译:在荷兰进行的前瞻性出生队列研究中使用分散模型和连续监测数据估算空气污染暴露

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摘要

Previous studies suggest that pregnant women and children are particularly vulnerable to the adverse effects of air pollution. A prospective cohort study in pregnant women and their children enables identification of the specific effects and critical periods. This paper describes the design of air pollution exposure assessment for participants of the Generation R Study, a population-based prospective cohort study from early pregnancy onwards in 9778 women in the Netherlands. Individual exposures to PM10 and NO2 levels at the home address were estimated for mothers and children, using a combination of advanced dispersion modelling and continuous monitoring data, taking into account the spatial and temporal variation in air pollution concentrations. Full residential history was considered. We observed substantial spatial and temporal variation in air pollution exposure levels. The Generation R Study provides unique possibilities to examine effects of short- and long-term air pollution exposure on various maternal and childhood outcomes and to identify potential critical windows of exposure.
机译:先前的研究表明,孕妇和儿童特别容易受到空气污染的不利影响。在孕妇及其子女中进行的一项前瞻性队列研究能够确定具体的影响和关键时期。本文为R代研究的参与者描述了空气污染暴露评估的设计,该研究是从怀孕初期开始对荷兰9778名女性进行的一项基于人群的前瞻性队列研究。考虑到空气污染浓度的时空变化,结合先进的扩散模型和连续监测数据,估计了母亲和孩子在家庭住所中个人暴露于PM10和NO2的水平。考虑了完整的居住历史。我们观察到空气污染暴露水平的时空变化很大。 R代研究提供了独特的可能性,可以检查短期和长期的空气污染暴露对各种孕产妇和儿童结局的影响,并确定潜在的关键暴露窗口。

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