1. Residential particulate matter, proximity to major roads, traffic density and traffic volume as risk factors for preterm birth in California.
- Author
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Costello JM, Steurer MA, Baer RJ, Witte JS, and Jelliffe-Pawlowski LL
- Subjects
- California epidemiology, Census Tract, Humans, Infant, Newborn, Particulate Matter adverse effects, Particulate Matter analysis, Retrospective Studies, Risk Factors, Vehicle Emissions toxicity, Air Pollutants adverse effects, Air Pollutants analysis, Air Pollution adverse effects, Air Pollution analysis, Premature Birth epidemiology, Premature Birth etiology
- Abstract
Background: 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., Objective: 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
2.5 ) and diesel particulate matter (diesel PM))., Methods: 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 PM2.5 and diesel PM by census tract of residence., Results: Findings showed that whereas higher mean levels of PM2.5 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 PM2.5 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)., Conclusions: 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., (© 2021 John Wiley & Sons Ltd.)- Published
- 2022
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