Associations between weekly gestational exposure of fine particulate matter, ozone, and nitrogen dioxide and preterm birth in a North Carolina Birth Cohort, 2003-2015

2003-2015年北卡罗来纳州出生队列研究:孕期每周暴露于细颗粒物、臭氧和二氧化氮与早产之间的关联

阅读:1

Abstract

BACKGROUND: Preterm birth (PTB; <37 weeks completed gestation) is associated with exposure to air pollution, though variability in association magnitude and direction across exposure windows exists. We evaluated associations between weekly gestational exposure to fine particulate matter (PM(2.5)), nitrogen dioxide (NO(2)), and ozone (O(3)) with PTB in a North Carolina Birth Cohort from 2003 to 2015 (N = 1,367,517). METHODS: Daily average PM(2.5) and daily 8-hour maximum NO(2) concentration estimates were obtained from a hybrid ensemble model with a spatial resolution of 1 km(2). Daily 8-hour maximum census tract-level concentration estimates for O(3) were obtained from the EPA's Fused Air Quality Surface Using Downscaling model. Air pollutant concentrations were linked by census tract to residential address at delivery and averaged across each week of pregnancy. Modified Poisson regression models with robust errors were used to estimate risk differences (RD [95% confidence intervals (CI)]) for an interquartile range increase in pollutants per 10,000 births, adjusted for potential confounders. RESULTS: Associations were similar in magnitude across weeks. We observed positive associations for PM(2.5) and O(3) exposures, but generally null associations with NO(2). RDs ranged from 15 (95% CI = 11, 18) to 32 (27, 37) per 10,000 births for PM(2.5); from -7 (-14, -1) to 0 (-5, 4) for NO(2); and from 4 (1, 7) to 13 (10, 16) for O(3). CONCLUSION: Our results show that increased PM(2.5) exposure is associated with an increased risk of PTB across gestational weeks, and these associations persist in multipollutant models with NO(2) and/or O(3).

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。