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空气污染与新诊断自闭症谱系障碍:台湾基于人群的队列研究。

Air pollution and newly diagnostic autism spectrum disorders: a population-based cohort study in Taiwan.

机构信息

Department of Occupational Safety and Health, College of Public Health, China Medical University, Taichung, Taiwan.

出版信息

PLoS One. 2013 Sep 25;8(9):e75510. doi: 10.1371/journal.pone.0075510. eCollection 2013.

Abstract

There is limited evidence that long-term exposure to ambient air pollution increases the risk of childhood autism spectrum disorder (ASD). The objective of the study was to investigate the associations between long-term exposure to air pollution and newly diagnostic ASD in Taiwan. We conducted a population-based cohort of 49,073 children age less than 3 years in 2000 that were retrieved from Taiwan National Insurance Research Database and followed up from 2000 through 2010. Inverse distance weighting method was used to form exposure parameter for ozone (O3), carbon monoxide (CO), nitrogen dioxide (NO2), sulfur dioxide (SO2), and particles with aerodynamic diameter less than 10 µm (PM10). Time-dependent Cox proportional hazards (PH) model was performed to evaluate the relationship between yearly average exposure air pollutants of preceding years and newly diagnostic ASD. The risk of newly diagnostic ASD increased according to increasing O3, CO, NO2, and SO2 levels. The effect estimate indicating an approximately 59% risk increase per 10 ppb increase in O3 level (95% CI 1.42–1.79), 37% risk increase per 100 ppb in CO (95% CI 1.31–1.44), 340% risk increase per 10 ppb increase in NO2 level (95% CI 3.31–5.85), and 17% risk increase per 1 ppb in SO2 level (95% CI 1.09–1.27) was stable with different combinations of air pollutants in the multi-pollutant models. Our results provide evident that children exposure to O3, CO, NO2, and SO2 in the preceding 1 year to 4 years may increase the risk of ASD diagnosis.

摘要

有有限的证据表明,长期暴露于环境空气污染会增加儿童自闭症谱系障碍(ASD)的风险。本研究的目的是调查台湾地区空气污染长期暴露与新诊断 ASD 之间的关联。我们进行了一项基于人群的队列研究,纳入了 2000 年年龄小于 3 岁的 49073 名儿童,这些儿童来自台湾国民保险研究数据库,并在 2000 年至 2010 年进行了随访。我们使用逆距离加权法来构建臭氧(O3)、一氧化碳(CO)、二氧化氮(NO2)、二氧化硫(SO2)和空气动力学直径小于 10µm 的颗粒物(PM10)的暴露参数。我们采用时间依赖性 Cox 比例风险(PH)模型来评估前几年每年平均暴露于空气污染物与新诊断 ASD 之间的关系。随着 O3、CO、NO2 和 SO2 水平的升高,新诊断 ASD 的风险增加。暴露于 O3 水平每增加 10ppb,风险估计值表明风险增加约 59%(95%CI 1.42-1.79),CO 水平每增加 100ppb,风险增加 37%(95%CI 1.31-1.44),NO2 水平每增加 10ppb,风险增加 340%(95%CI 3.31-5.85),SO2 水平每增加 1ppb,风险增加 17%(95%CI 1.09-1.27),这一效应估计值在多污染物模型中与不同的空气污染物组合是稳定的。我们的研究结果表明,儿童在前 1 年至 4 年期间暴露于 O3、CO、NO2 和 SO2 可能会增加 ASD 诊断的风险。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f24/3783370/144b987fea02/pone.0075510.g001.jpg

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