California Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, USA.
Program in Biological and Medical Informatics, University of California San Francisco, San Francisco, CA, USA.
Paediatr Perinat Epidemiol. 2022 Jan;36(1):70-79. doi: 10.1111/ppe.12820. Epub 2021 Nov 19.
While pollution from vehicle sources is an established risk factor for preterm birth, it is unclear whether distance of residence to the nearest major road or related measures like major road density represent useful measures for characterising risk.
To determine whether major road proximity measures (including distance to major road, major road density and traffic volume) are more useful risk factors for preterm birth than other established vehicle-related measures (including particulate matter <2.5 μm in diameter (PM ) and diesel particulate matter (diesel PM)).
This retrospective cohort study included 2.7 million births across the state of California from 2011-2017; each address at delivery was geocoded. Geocoding was used to calculate distance to the nearest major road, major road density within a 500 m radius and major road density weighted by truck volume. We measured associations with preterm birth using risk ratios adjusted for target demographic, clinical, socioeconomic and environmental covariates (aRRs). We compared these to the associations between preterm birth and PM and diesel PM by census tract of residence.
Findings showed that whereas higher mean levels of PM and diesel PM by census tract were associated with a higher risk of preterm birth, living closer to roads or living in higher traffic density areas was not associated with higher risk. Residence in a census tract with a mean PM in the top quartile compared with the lowest quartile was associated with the highest observed risk of preterm birth (aRR 1.04, 95% CI 1.04, 1.05).
Over a large geographical region with a diverse population, PM2.5 and diesel PM were associated with preterm birth, while measures of distance to major road were not, suggesting that these distance measures do not serve as a proxy for measures of particulate matter in the context of preterm birth.
虽然车辆来源的污染是早产的既定危险因素,但居住地点到最近的主要道路的距离或相关的主要道路密度等措施是否代表有用的风险特征化措施尚不清楚。
确定主要道路接近度措施(包括到主要道路的距离、主要道路密度和交通量)是否比其他已确立的与车辆相关的措施(包括直径<2.5μm 的颗粒物(PM )和柴油颗粒物(柴油 PM ))更能预测早产风险。
这项回顾性队列研究包括 2011 年至 2017 年加利福尼亚州的 270 万例分娩;分娩时的每个地址都进行了地理编码。使用地理编码来计算到最近的主要道路的距离、500 米半径内的主要道路密度以及按卡车体积加权的主要道路密度。我们使用调整了目标人口统计学、临床、社会经济和环境协变量的风险比(aRR )来衡量与早产的关联。我们将这些与居住地普查区的 PM 和柴油 PM 与早产之间的关联进行了比较。
研究结果表明,尽管按普查区计算的 PM 和柴油 PM 的平均水平较高与早产风险增加有关,但靠近道路居住或居住在交通密度较高的地区与更高的风险无关。与最低四分位数相比,居住在 PM 平均处于四分位范围最高的普查区与早产的最高观察风险相关(aRR 1.04,95%CI 1.04,1.05)。
在人口多样化的大地理区域,PM2.5 和柴油 PM 与早产相关,而到主要道路的距离措施则不相关,这表明这些距离措施不能作为早产情况下颗粒物测量的替代物。