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Prenatal and Infant Traffic Related Air Pollution and Autism Spectrum Disorder: A California State-Wide Study

机译:产前和婴儿交通相关的空气污染和自闭症谱系障碍:加利福尼亚州一项全州研究

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Background: Studies are accumulating that suggest associations between air pollutants and autism spectrum disorder (ASD) in children. However, most studies include rather small numbers of cases. Our objective was to use data for the state of California focussing on road traffic related exposure during pregnancy and the first year of life to assess related risks for childhood ASD. Methods: We used a registry linkage design based on state-wide California birth data retrieved from Office of Vital Statistics birth rolls 1998-2010. ASD (at the time of our study assessed as autistic disorder (DSM IV-R)) cases (n~35,000) were identified through records maintained at the California Department of Developmental Services and linked to birth records. Birth record controls were matched on sex and year 1:10. Prenatal / first year road traffic related CO, NOx and PM2.5 concentrations from both gasoline and diesel vehicles were estimated using CAIifornia LINE Source Dispersion Model 4, a modified Gaussian line-source dispersion model. We estimated risks using logistic regression. Results: Exposure during pregnancy to interquartile-range increases of the correlated pollutants CO, NOx and PM2.5 related to increased odds ratios (OR) for ASD, adjusting for maternal age, education, race/ethnicity, maternal birth place and other potential confounders: CO OR=1.14; 95% CI 1.13,1.15; NOx OR=1.12; 1.10, 1.13; PM2.5 OR=1.13; 1.11, 1.14. Results were similar for boys and girls. Conclusions: Our state-wide population based study including a large number of ASD cases and avoiding participation bias, indicates increased risks for ASD of around 10% related to prenatal exposure to traffic generated air pollution. These findings confirm and extend earlier smaller studies suggesting the need for public health policies to regulate air pollution exposure to protect the developing fetus.
机译:背景:越来越多的研究表明,空气污染物与儿童自闭症谱系障碍(ASD)之间存在关联。但是,大多数研究只包括很少的案例。我们的目标是使用加利福尼亚州的数据,重点关注怀孕期间和生命的第一年与道路交通相关的暴露,以评估儿童期ASD的相关风险。方法:我们使用注册表链接设计,该链接设计基于从生命统计办公室1998-2010年出生记录中检索的加利福尼亚州全州出生数据。通过在加利福尼亚发展服务部保存的记录确定了ASD(在我们的研究时被评估为自闭症(DSM IV-R))病例(n〜35,000),并与出生记录相关联。出生记录对照在性别和1:10岁时匹配。使用改良的高斯线源弥散模型CAIifornia LINE线源弥散模型4估算了汽油和柴油车辆中与产前/第一年道路交通相关的CO,NOx和PM2.5浓度。我们使用逻辑回归估计风险。结果:怀孕期间暴露于相关污染物CO,NOx和PM2.5的四分位数范围增加与ASD的优势比(OR)相关,并针对孕产妇年龄,教育程度,种族/民族,孕产地和其他潜在混杂因素进行了调整:CO OR = 1.14; 95%CI 1.13,1.15; NOx OR = 1.12; 1.10、1.13; PM2.5 OR = 1.13; 1.11、1.14。男孩和女孩的结果相似。结论:我们的全州基于人群的研究包括大量的ASD病例并避免了参与偏差,表明与产前暴露于交通产生的空气污染相关的ASD风险增加了约10%。这些发现证实并扩展了早期的较小型研究,表明有必要制定公共卫生政策来规范空气污染暴露以保护发育中的胎儿。

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