Department of Public Health, Faculty of Medicine, Qinghai University, Xining, China.
Xining Centre for Disease Control and Prevention, Xining, China.
BMC Public Health. 2024 May 22;24(1):1377. doi: 10.1186/s12889-024-18896-x.
Extreme weather events like heatwaves and fine particulate matter (PM) have a synergistic effect on mortality, but research on the synergistic effect of cold waves and PM on outpatient visits for respiratory disease, especially at high altitudes in climate change-sensitive areas, is lacking.
we collected time-series data on meteorological, air pollution, and outpatient visits for respiratory disease in Xining. We examined the associations between cold waves, PM, and outpatient visits for respiratory disease using a time-stratified case-crossover approach and distributional lag nonlinear modeling. Our analysis also calculated the relative excess odds due to interaction (REOI), proportion attributable to interaction (AP), and synergy index (S). We additionally analyzed cold waves over time to verify climate change.
Under different definitions of cold waves, the odds ratio for the correlation between cold waves and outpatient visits for respiratory disease ranged from 0.95 (95% CI: 0.86, 1.05) to 1.58 (1.47, 1.70). Exposure to PM was significantly associated with an increase in outpatient visits for respiratory disease. We found that cold waves can synergize with PM to increase outpatient visits for respiratory disease (REOI > 0, AP > 0, S > 1), decreasing with stricter definitions of cold waves and longer durations. Cold waves' independent effect decreased over time, but their interaction effect persisted. From 8.1 to 21.8% of outpatient visits were due to cold waves and high-level PM. People aged 0-14 and ≥ 65 were more susceptible to cold waves and PM, with a significant interaction for those aged 15-64 and ≥ 65.
Our study fills the gap on how extreme weather and PM synergistically affect respiratory disease outpatient visits in high-altitude regions. The synergy of cold waves and PM2.5 increases outpatient visits for respiratory disease, especially in the elderly. Cold wave warnings and PM reduction have major public health benefits.
热浪和细颗粒物(PM)等极端天气事件对死亡率有协同作用,但对于寒潮和 PM 对气候变化敏感地区高海拔地区呼吸道疾病门诊就诊的协同作用的研究还很缺乏。
我们收集了西宁气象、空气污染和呼吸道疾病门诊就诊的时间序列数据。我们使用时间分层病例交叉法和分布滞后非线性模型研究了寒潮、PM 与呼吸道疾病门诊就诊之间的关联。我们的分析还计算了交互的相对超额odds(REOI)、交互归因比例(AP)和协同指数(S)。我们还额外分析了随着时间的推移的寒潮,以验证气候变化。
在不同的寒潮定义下,寒潮与呼吸道疾病门诊就诊之间的相关的比值比范围为 0.95(95%CI:0.86,1.05)至 1.58(1.47,1.70)。暴露于 PM 与呼吸道疾病门诊就诊的增加显著相关。我们发现,寒潮与 PM 可协同增加呼吸道疾病门诊就诊(REOI>0,AP>0,S>1),随着寒潮定义更严格和持续时间更长而降低。寒潮的独立效应随着时间的推移而降低,但它们的交互效应持续存在。8.1%至 21.8%的门诊就诊是由寒潮和高水平 PM 引起的。0-14 岁和≥65 岁的人群更容易受到寒潮和 PM 的影响,15-64 岁和≥65 岁的人群存在显著的交互作用。
我们的研究填补了极端天气和 PM 如何协同影响高海拔地区呼吸道疾病门诊就诊的空白。寒潮和 PM2.5 的协同作用增加了呼吸道疾病的门诊就诊,尤其是在老年人中。寒潮预警和 PM 减少对公共卫生有重大益处。