Department of Internal Medicine, The First People's Hospital of Yancheng, Yancheng Affiliated Hospital of Xuzhou Medical University, The Fourth Affiliated Hospital of Nantong University, Yancheng, China.
School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, China.
Ecotoxicol Environ Saf. 2020 Aug;199:110686. doi: 10.1016/j.ecoenv.2020.110686. Epub 2020 May 11.
Limited studies have been conducted to evaluate the short-term relationships between exposure to coarse particulate matter (PM) and outpatient visits in China. We designed this time-series analysis in a Chinese city Yancheng, to explore the relationship of PM with outpatient visits for cardiopulmonary diseases. The study period was from 2013 to 2015. A typical generalized additive model was used. We explored the lag patterns by building a series of lag of exposure. We also built two-pollutant models to ascertain the independence of PM. Stratified analyses were applied to compare the season-specific associations. Finally, we pooled the concentration-response (C-R) curves for PM and outpatient visits. We recorded a daily average of 85 and 43 outpatient visits for cardiovascular and respiratory causes, respectively. PM exposures of lag 05 day yielded the best estimates for both outcomes. Per 10-μg/m increase in PM, there was a 1.69% (95% confidence interval [CI]: 0.68%-2.72%) increase in outpatient visits for respiratory causes, and a 0.85% (95% CI: 0.13%-1.57%) increase for cardiovascular causes. The association kept robust after adjusting for PM and O, and there were larger associations in warm seasons. The C-R curves had a larger slope for respiratory diseases in relatively lower concentrations (<30 μg/m), and PM was positively associated with cardiovascular diseases in higher concentrations (>30 μg/m). This study indicated significant associations of PM with cardiopulmonary outpatient visit. Such results may be used for health risk assessment and policy making for particulate air pollution control.
已有少量研究评估了在中国短期暴露于粗颗粒物 (PM) 与门急诊就诊次数之间的关系。我们在盐城这一中国城市设计了这项时间序列分析,旨在探索 PM 与心肺疾病门急诊就诊次数的关系。研究时段为 2013 年至 2015 年。采用典型的广义加性模型。通过构建一系列暴露滞后,我们探索了滞后模式。我们还构建了双污染物模型以确定 PM 的独立性。分层分析用于比较特定季节的关联。最后,我们汇总了 PM 和门急诊就诊次数的浓度-反应(C-R)曲线。我们记录了心血管和呼吸原因的每日平均门急诊就诊次数分别为 85 次和 43 次。滞后 05 天的 PM 暴露对这两种结果的估计最佳。每增加 10μg/m 的 PM,呼吸原因的门急诊就诊次数增加 1.69%(95%置信区间 [CI]:0.68%-2.72%),心血管原因的门急诊就诊次数增加 0.85%(95% CI:0.13%-1.57%)。在调整 PM 和 O 后,相关性仍然稳健,且在温暖季节相关性更大。在相对较低的浓度 (<30μg/m) 时,C-R 曲线对呼吸疾病的斜率更大,而在较高的浓度 (>30μg/m) 时,PM 与心血管疾病呈正相关。本研究表明 PM 与心肺疾病门急诊就诊次数存在显著关联。这些结果可用于进行健康风险评估和制定针对颗粒物空气污染控制的政策。