【摘要】 目的探讨北京市某区细颗粒物(PM_2.5)污染对居民冠心病死亡造成的影响。方法采用R 3.0.1软件建立分布滞后非线性模型,在控制了长期趋势、星期几效应、气象因素等混杂因素的影响后,分析2013年1月1日-2016年12月31日北京市某区PM_2.5与居民冠心病死亡之间的关系。结果单污染物模型中,PM_2.5（lag1）对居民冠心病死亡的影响具有统计学意义,大气中PM_2.5浓度每升高10μg/m³,居民冠心病死亡平均增加0.21%（95%CI:0.02%-0.41%）。双污染物模型中,引入SO₂后,PM_2.5对居民冠心病死亡的影响无统计学意义（P>0.05）;分别引入NO₂和O₃后,对冠心病死亡的影响均在滞后第1天（lag1）具有统计学意义（P<0.05）。结论北京市某区PM_2.5污染与居民冠心病死亡之间存在正相关关系,PM_2.5对居民冠心病死亡的影响与其他大气污染物之间存在协同作用。更多还原

【Abstract】 Objective Explore the relationship between fine particulate matter(PM_2.5) and coronary heart disease death in one district of Beijing.Methods Distributed lag non-linear models（DLNM） was used to examine the exposureresponse relationship between PM_2.5 and coronary heart disease death under controlling long-term trends,the"day of the week"effect and meterological factors.Results Per 10 μg/m³ increase in PM_2.5 was associated with 0.21%（95% CI: 0.02%-0.41%） increase in coronary heart disease death at lag1 in single-pollutant model.The estimated effects of PM_2.5 on coronary heart disease remained statistically significant at lag1 when NO₂ and O₃ was respectively included in the model（P < 0.05）.There was no significant associations between PM_2.5 and coronary heart disease death at all lag structures（P > 0.05） when SO+2 was included in the model.Conclusion PM_2.5 was positively associated with the daily mortalities of coronary heart disease in one district of Beijing.更多还原