摘要
目的探求大气污染对天津市儿童呼吸系统疾病的影响,为疾病的预防与控制提供依据。方法利用单污染物和多污染物条件Logistic回归模型,来估计空气污染物浓度和儿童呼吸系统疾病发病之间的关系。结果单污染物条件Logistic回归模型显示,大气中NO_2、PM_(2.5)、PM_(10)、CO的超额危险度(excess risk rate, ER)及其95%CI分别为2.823%(2.581~3.065)、0.476%(0.382~0.569)、0.437%(0.368~0.506)、22.263%(15.449~29.478)。多污染物条件Logistic回归分析显示:在寒冷季节,NO_2暴露对儿童呼吸系统疾病的影响效应最大,ER及其95%CI为7.395%(6.595~8.202)。结论 NO_2、PM_(10)、PM_(2.5)、CO日平均浓度的升高可以增高儿童呼吸系统疾病的发生风险。
Objective To explore the effect of air pollution on children's respiratory diseases in Tianjin, so as to provide reference for the prevention and control of diseases. Methods Conditional Logistic regression model of single pollutant and multiple pollutants was used to estimate the relationships between air pollutants concentration and children's respiratory system diseases. Results Conditional Logistic regression model of single pollutant conditions showed that the excess risk(ER) effects and 95% CI of NO_2, PM2.5, PM_(10) and CO appeared were 2.823%(2.581-3.065), 0.476%(0.382-0.569), 0.437%(0.368-0.506), 22.263%(15.449-29.478), respectively. Logistic regression analysis of multiple pollutants conditions showed that NO_2 exposure had the greatest effect on children's respiratory diseases in cold season, and the excess risk(ER) was 7.395%(6.595-8.202). Conclusion The elevated daily average concentration of NO_2, PM_(10), PM_(2.5), and CO can increase the risk of children's respiratory diseases.
引文
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