Pan Kailun, Lin Fen, Huang Kai, Zeng Songbing, Guo Mingwei, Cao Jie, Dong Haifa, Wei Jianing, Xi Qiujiang
Department of Neurology, First Affiliated Hospital of Gannan Medical Univesity, Ganzhou, 341000, Jiangxi, China; School of Public Health and Health Management, Gannan Medical University, Ganzhou, 341000, Jiangxi, China; Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Ministry of Education, Gannan Medical University, Ganzhou, 341000, Jiangxi, China.
School of Public Health and Health Management, Gannan Medical University, Ganzhou, 341000, Jiangxi, China; Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Ministry of Education, Gannan Medical University, Ganzhou, 341000, Jiangxi, China.
Public Health. 2025 Feb;239:103-111. doi: 10.1016/j.puhe.2024.12.042. Epub 2025 Jan 11.
The aim of this study was to investigate the associations, potential effects, and interactions between short-term exposure to air pollution and the risk of ischemic stroke (IS).
An ecological study.
Daily data on IS incidents, air pollution, and meteorological conditions were collected from 2017 to 2021 in Gannan. A time-stratified case-crossover design, combined with a distributional lag nonlinear model, was employed to analyze the relationship between air pollution exposure and the admission of IS. Additionally, the interaction between air pollutants and meteorological factors was examined using bivariate response surface modeling. The study also conducted stratified analyses based on gender, age, marital status, medical insurance purchase status, and season of admission.
In the single lag day structure, extremely low levels of PM2.5 (RR = 1.11, 95 % CI: 1.03-1.20) and PM10 (RR = 1.10, 95 % CI: 1.02-1.20) peaked on lag 3. Conversely, extremely high levels of NO2 (RR = 1.05, 95 % CI: 1.01-1.10), CO (RR = 1.19, 95 % CI: 1.03-1.37), and extremely low levels of O3 (RR = 1.09, 95 % CI: 1.01-1.19) exhibited a greater relative risk on lag 4. In the cumulative lag-day structure, extremely high levels of NO2 exhibited the most significant hazard effect at lag 05 (RR = 1.27, 95 % CI: 1.01-1.52), while extremely low levels of CO at lag 02 (RR = 1.15, 95 % CI: 1.05-1.24) and extremely low levels of O3 at lag 01 (RR = 1.20, 95 % CI: 1.04-1.40) also demonstrated notable associations. In the subgroup stratum, the association between air pollution and IS was found to be more significant in patients who were male, aged <65 years, married, had medical insurance, and were admitted during the cold season. The lowest number of IS hospitalisations occurred under low relative humidity conditions alongside increasing concentrations of CO.
Short-term exposure to air pollution was positively associated with an increased risk of IS. This association was influenced by factors such as being male, aged <65 years, married, having medical insurance, and admissions during the cold season. Additionally, an interaction was observed between air pollutants and meteorological factors. These findings carry significant public health implications for the prevention of IS.
本研究旨在调查短期暴露于空气污染与缺血性中风(IS)风险之间的关联、潜在影响及相互作用。
一项生态学研究。
收集了2017年至2021年甘南地区IS事件、空气污染和气象条件的每日数据。采用时间分层病例交叉设计,并结合分布滞后非线性模型,分析空气污染暴露与IS入院之间的关系。此外,使用双变量响应面模型研究空气污染物与气象因素之间的相互作用。该研究还根据性别、年龄、婚姻状况、医疗保险购买状况和入院季节进行了分层分析。
在单滞后日结构中,极低水平的PM2.5(RR = 1.11,95%CI:1.03 - 1.20)和PM10(RR = 1.10,95%CI:1.02 - 1.20)在滞后3天达到峰值。相反,极高水平的NO2(RR = 1.05,95%CI:1.01 - 1.10)、CO(RR = 1.19,95%CI:1.03 - 1.37)以及极低水平的O3(RR = 1.09,95%CI:1.01 - 1.19)在滞后4天表现出更大的相对风险。在累积滞后日结构中,极高水平的NO2在滞后05天表现出最显著的危害效应(RR = 1.27,95%CI:1.01 - 1.52),而极低水平的CO在滞后02天(RR = 1.15,95%CI:1.05 - 1.24)和极低水平的O3在滞后01天(RR = 1.20,95%CI:1.04 - 1.40)也显示出显著关联。在亚组分层中,发现空气污染与IS之间的关联在男性、年龄<65岁、已婚、有医疗保险且在寒冷季节入院的患者中更为显著。在相对湿度较低且CO浓度增加的情况下,IS住院人数最少。
短期暴露于空气污染与IS风险增加呈正相关。这种关联受到男性、年龄<65岁、已婚、有医疗保险以及在寒冷季节入院等因素的影响。此外,观察到空气污染物与气象因素之间存在相互作用。这些发现对IS的预防具有重要的公共卫生意义。