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自闭症谱系障碍与 PM 成分的关联:使用两种不同暴露模型的比较研究。

Associations of Autism Spectrum Disorder with PM Components: A Comparative Study Using Two Different Exposure Models.

机构信息

Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California 90032, United States.

Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, California 91101, United States.

出版信息

Environ Sci Technol. 2023 Jan 10;57(1):405-414. doi: 10.1021/acs.est.2c05197. Epub 2022 Dec 22.

Abstract

This retrospective cohort study examined associations of autism spectrum disorder (ASD) with prenatal exposure to major fine particulate matter (PM) components estimated using two independent exposure models. The cohort included 318 750 mother-child pairs with singleton deliveries in Kaiser Permanente Southern California hospitals from 2001 to 2014 and followed until age five. ASD cases during follow-up ( = 4559) were identified by ICD codes. Prenatal exposures to PM, elemental (EC) and black carbon (BC), organic matter (OM), nitrate (NO), and sulfate (SO) were constructed using (i) a source-oriented chemical transport model and (ii) a hybrid model. Exposures were assigned to each maternal address during the entire pregnancy, first, second, and third trimester. In single-pollutant models, ASD was associated with pregnancy-average PM, EC/BC, OM, and SO exposures from both exposure models, after adjustment for covariates. The direction of effect estimates was consistent for EC/BC and OM and least consistent for NO. EC/BC, OM, and SO were generally robust to adjustment for other components and for PM. EC/BC and OM effect estimates were generally larger and more consistent in the first and second trimester and SO in the third trimester. Future PM composition health effect studies might consider using multiple exposure models and a weight of evidence approach when interpreting effect estimates.

摘要

本回顾性队列研究考察了自闭症谱系障碍(ASD)与产前暴露于两种独立暴露模型估计的主要细颗粒物(PM)成分之间的关联。该队列包括 2001 年至 2014 年期间在 Kaiser Permanente 南加州医院分娩的 318750 对单胎母婴对,并随访至五岁。在随访期间(= 4559)通过 ICD 代码确定 ASD 病例。使用(i)源导向化学输送模型和(ii)混合模型构建 PM、元素(EC)和黑碳(BC)、有机物(OM)、硝酸盐(NO)和硫酸盐(SO)的产前暴露。暴露值在整个怀孕期间、第一、第二和第三个三个月被分配给每个母亲的地址。在单污染物模型中,在调整协变量后,ASD 与两种暴露模型的妊娠平均 PM、EC/BC、OM 和 SO 暴露相关。EC/BC 和 OM 的效应估计方向一致,而 NO 的效应估计方向最不一致。EC/BC、OM 和 SO 通常在第一和第二个三个月以及第三个三个月中对其他成分和 PM 的调整更为稳健。未来的 PM 成分健康效应研究可能需要考虑使用多种暴露模型和证据权重方法来解释效应估计。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5276/10898516/9cd0637e2acd/nihms-1966493-f0002.jpg

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