华南预防医学 ›› 2026, Vol. 52 ›› Issue (1): 67-73.doi: 10.12183/j.scjpm.2026.0067

• 论著 • 上一篇    下一篇

生命早期空气污染物暴露与儿童孤独症谱系障碍患病关联的巢式病例对照研究

梁晓健1,2, 林青梅2, 黄赛君2, 张子龙3, 高永贵3, 丘圣4, 辛晶5, 黄燕灵6, 农雪艳6, 苏晞1,2   

  1. 1.南方医科大学公共卫生学院,广东 广州 510515;
    2.佛山市妇幼保健院;
    3.中山大学公共卫生学院;
    4.佛山市南海区妇幼保健院;
    5.广州中医药大学佛山临床医学院;
    6.广东医科大学顺德妇女儿童医院(佛山市顺德区妇幼保健院)
  • 收稿日期:2025-10-23 出版日期:2026-01-20 发布日期:2026-02-06
  • 通讯作者: 苏晞,E-mail:849527809@qq.com
  • 作者简介:梁晓健(1999—),女,在读硕士研究生,研究方向为儿少卫生与妇幼保健
  • 基金资助:
    国家自然科学基金项目(32270786); 佛山市医学类科技攻关项目(2120001008276); 佛山市孤独症谱系障碍早期救助工程技术研究中心(2020001003942)

A nested case-control study on the association between early-life exposure to air pollution and the risk of autism spectrum disorder in children

Liang Xiaojian1,2, Lin Qingmei2, Huang Saijun2, Zhang Zilong3, Gao Yonggui3, Qiu Sheng4, Xin Jing5, Huang Yanling6, Nong Xueyan6, Su Xi1,2   

  1. 1. School of Public Health, Southern Medical University, Guangzhou, Guangdong 510515, China;
    2. Foshan Women and Children Hospital;
    3. School of Public Health, Sun Yat-sen University;
    4. Nanhai Maternity & Child Healthcare Hospital of Foshan;
    5. Foshan Clinical Medical School, Guangzhou University of Chinese Medicine;
    6. Shunde Women and Children's Hospital of Guangdong Medical University
  • Received:2025-10-23 Online:2026-01-20 Published:2026-02-06

摘要: 目的 探讨生命早期空气污染物(PM2.5、PM10、SO2、NO2)暴露与儿童孤独症谱系障碍(autism spectrum disorder,ASD)的发病风险关联。方法 本研究采用巢式病例对照设计,研究队列源于佛山市妇幼保健信息系统2019—2021年的出生人口。选取经指定诊断中心确诊的725例ASD患儿为病例组,通过倾向性评分法,按1∶2的比例匹配1 445名同期健康儿童作为对照组。应用多因素条件logistic回归模型,分析孕早期、孕中期、孕晚期、全孕期及出生后第一年5个关键窗口期内,不同空气污染物暴露水平与ASD发病风险的关联强度。结果 在校正了母亲妊娠期糖尿病等一系列混杂因素后,回归分析显示,全孕期PM2.5OR=2.37,95% CI:1.44~3.90)、PM10OR=1.80,95% CI:1.07~3.04)暴露,以及出生后第一年PM2.5OR=1.68,95% CI:1.13~2.51)、NO2OR=1.58,95% CI:1.27~1.97)暴露,均与ASD发病风险呈显著正相关(均P<0.05)。分阶段暴露分析进一步提示,孕早期PM2.5OR=2.75,95% CI:1.22~6.21)和PM10OR=3.26,95% CI:1.40~7.63)暴露的关联尤为突出(均P<0.05)。结论 孕期和出生后第一年PM2.5、PM10、NO2暴露可能增加儿童罹患ASD的风险,其中孕早期或为颗粒物暴露影响神经发育的关键敏感窗口。

关键词: 孤独症谱系障碍, 生命早期, 空气污染物, 儿童, 巢式病例对照研究

Abstract: Objective To investigate the association between early-life exposure to air pollutants (PM2.5, PM10,SO2, NO2) and the risk of autism spectrum disorder (ASD) in children. Methods A nested case-control study was conducted based on a birth cohort from the Foshan Maternal and Child Health Information System between 2019 and 2021. A total of 725 children diagnosed with ASD at designated diagnostic centers were enrolled as the case group. For each case, two healthy children from the same birth cohort were selected as controls, matched 1∶2 using propensity score matching, resulting in 1 445 control subjects. Multivariable conditional logistic regression models were employed to analyze the association between exposure to various air pollutants during five critical windows—the first, second, and third trimesters, the entire pregnancy, and the first year of life—and the risk of developing ASD. Results After adjusting for a range of confounding factors, including maternal gestational diabetes mellitus, the regression analysis revealed a significant positive association between ASD risk and exposure to PM2.5 (OR=2.37, 95% CI:1.44-3.90) and PM10 (OR=1.80, 95% CI:1.07-3.04) throughout the entire gestational period. Furthermore, exposure to PM2.5 (OR=1.68, 95% CI:1.13-2.51) and NO2 (OR=1.58, 95% CI:1.27-1.97) during the first year of life was also significantly associated with an elevated risk of ASD(all P<0.05). Stratified analysis by exposure window further indicated that the associations were particularly prominent for exposure to PM2.5 (OR=2.75, 95% CI:1.22-6.21) and PM10 (OR=3.26, 95% CI:1.40-7.63) during the first trimester (all P<0.05). Conclusion Exposure to PM2.5, PM10, and NO2 during the prenatal period and the first year of life may increase the risk of ASD in children. The first trimester of pregnancy appears to be a critical sensitive window for the adverse effects of particulate matter exposure on neurodevelopment.

Key words: Autism spectrum disorder, Early life, Air pollutants, Children, Nested case-control study

中图分类号: 

  • R749.94