Ma Yudiyang, Hui Ying, Tang Linxi, Wang Jianing, Xing Meiqi, Zheng Lei, Cui Feipeng, Chen Shuohua, Wu Shouling, Wang Zhenchang, Tian Yaohua
Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
Eco Environ Health. 2024 Dec 13;4(1):100129. doi: 10.1016/j.eehl.2024.10.004. eCollection 2025 Mar.
Cerebral small vessel disease (CSVD), a chronic and progressive vascular disorder closely associated with stroke and dementia, is primarily identified and diagnosed in cranial magnetic resonance imaging (MRI). Given the limited evidence on the relationship between air pollution and CSVD, this study aimed to investigate the links between multiple air pollutants exposure and CSVD risk. Eligible subjects and their cranial MRI data were obtained from the Multi-modality Medical Imaging Study Based on Kailuan Study, totaling 1216 participants. Ordinal and binary logistic regression models were utilized to evaluate the associations between air pollution exposure and the neuroimaging markers of CSVD. For each interquartile range increase in air pollutant exposure during the examination year, the odds ratios and 95% confidence intervals of the increased white matter hyperintensity burden were 1.45 (1.15, 1.84) for PM, 1.72 (1.27, 2.34) for PM, 1.26 (1.05, 1.51) for SO, 1.52 (1.16, 2.00) for NO, and 1.63 (1.26, 2.13) for CO. The results remained consistent even when the model was fitted using air pollution from different exposure windows. Furthermore, the estimated effect sizes for the total burden of CSVD were 1.20 (1.01, 1.43) for PM, 1.39 (1.12, 1.74) for PM, 1.26 (1.03, 1.53) for NO, and 1.30 (1.08, 1.58) for CO. These findings suggest that a positive link between air pollutants exposure and neuroimaging markers of CSVD in the Chinese population, revealing the importance of controlling environmental pollutants to protect the population against cerebral small vessel damage.
脑小血管病（CSVD）是一种与中风和痴呆密切相关的慢性进行性血管疾病，主要通过头颅磁共振成像（MRI）来识别和诊断。鉴于空气污染与CSVD之间关系的证据有限，本研究旨在探讨多种空气污染物暴露与CSVD风险之间的联系。符合条件的受试者及其头颅MRI数据来自基于开滦研究的多模态医学成像研究，共有1216名参与者。采用有序和二元逻辑回归模型来评估空气污染暴露与CSVD神经影像标志物之间的关联。在检查年份，空气污染物暴露每增加一个四分位数间距，白质高信号负担增加的比值比和95%置信区间分别为：PM为1.45（1.15，1.84），PM为1.72（1.27，2.34），SO为1.26（1.05，1.51），NO为1.52（1.16，2.00），CO为1.63（1.26，2.13）。即使使用不同暴露窗口的空气污染来拟合模型，结果仍然一致。此外，CSVD总负担的估计效应大小分别为：PM为1.20（1.01，1.43），PM为1.39（1.12，1.74），NO为1.26（1.03，1.53），CO为1.30（1.08，1.58）。这些发现表明，中国人群中空气污染物暴露与CSVD神经影像标志物之间存在正相关，揭示了控制环境污染物以保护人群免受脑小血管损伤的重要性。
