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北京市延庆区大气污染物对呼吸系统疾病门急诊量的影响
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  • 英文篇名:Effects of air pollutants on outpatient and emergency number of respiratory diseases in Yanqing District of Beijing
  • 作者:张镇权 ; 王绍华 ; 吴志乐 ; 郭秀花
  • 英文作者:ZHANG Zhen-quan;WANG Shao-hua;WU Zhi-le;GUO Xiu-hua;School of Public Health in Capital Medical University,Beijing Key Laboratory of Clinical Epidemiology;Infectious and Endemic Disease Control Section of Yanqing District Beijing;
  • 关键词:大气污染 ; 时间序列 ; 广义相加模型 ; 呼吸系统疾病
  • 英文关键词:Air pollution;;Time series;;Generalized additive model;;Respiratory diseases
  • 中文刊名:中华疾病控制杂志
  • 英文刊名:Chinese Journal of Disease Control & Prevention
  • 机构:首都医科大学公共卫生学院临床流行病学北京市重点实验室;北京市延庆区疾病预防控制中心传染病地方病控制科;
  • 出版日期:2019-07-25 13:56
  • 出版单位:中华疾病控制杂志
  • 年:2019
  • 期:07
  • 语种:中文;
  • 页:84-89+96
  • 页数:7
  • CN:34-1304/R
  • ISSN:1674-3679
  • 分类号:X51;R12
摘要
目的探讨北京市延庆区大气污染对人群呼吸系统疾病门急诊量影响。方法收集2014-2017年北京市延庆区二级医疗机构的呼吸系统疾病每日门急诊量数据和同期气象数据资料以及大气污染数据资料,运用时间序列的广义相加模型,在控制混杂因素的基础上,分析大气污染物浓度与呼吸系统门急诊量的关系以及滞后效应。结果研究表明,大气中空气动力学直径当量直径≤2.5μm的颗粒物(particulate matter 2.5,PM_(2.5))每增加10μg/m~3,呼吸系统门急诊量增加0.11%(RR=0.11,95%CI:0.09~0.14,P=0.001);大气中空气动力学直径当量直径≤10μm的颗粒物(particulate matter 10,PM_(10))每增加10μg/m~3,呼吸系统门急诊量增加0.17%(RR=0.17,95%CI:0.15~0.19,P=0.001;二氧化氮(nitrogen dioxide,NO_2)每增加10μg/m~3,呼吸系统门急诊量增加0.44%(RR=0.44,95%CI:0.37~0.50,P=0.001);一氧化碳(carbon monoxide,CO)每增加10μg/m~3,呼吸系统门急诊量增加3.34%(RR=3.34,95%CI:1.57~5.15,P=0.001),且最强效应期均在第0 d。二氧化硫(sulfur ioxide,SO_2)每增加10μg/m~3呼吸系统门急诊量增加-1.69%(RR=-1.69,95%CI:-1.80~-1.57,P=0.001),且在第1 d达到最强效应值。臭氧(ozone,O_3)每增加10μg/m~3呼吸系统门急诊量增加-0.12%(RR=0.12,95%CI:-0.15~-0.10,P=0.001),且在第5 d达到最强效应值。双污染物模型分析中,CO在SO_2的影响下,对呼吸系统疾病门急诊人数影响尤为明显。结论本研究结果提示延庆区PM_(2.5)、PM_(10)、NO_2、CO浓度的增加均会导致呼吸系统门急诊量的增加,且不同污染物之间存在相互作用。
        Objective To explore the association between air pollutants and the number of outpatient and emergency visits for respiratory diseases in Yanqing District,Beijing.MethodsData from 2014-2017 of the number of outpatient and emergency visits for respiratory diseases was collected from secondary medical institutions in Yanqing District of Beijing,and data of meteorological monitoring and atmospheric pollution were also collected.On the basis of controlling confounding factor,a generalized additive model was used to analyze the relationship between air pollutant concentration and the number of outpatient and emergency visits for respiratory diseases,and lag effect.ResultsThe results showed that,Particulate Matter 2.5(PM_(2.5))increased by 10μg/m~3,the number of respiratory outpatient and emergency visits would increase 0.11%(95%CI:0.09-0.14,P=0.001);Particulate Matter 10(PM10)increased by 10μg/m~3,the number of respiratory outpatient and emergency visits would increase 0.17%(95%CI:0.15-0.19,P=0.001);Nitrogen dioxide(NO_2)increased by 10μg/m~3,the number of respiratory outpatient and emergency visits would increase 0.44%(95%CI:0.37-0.50,P=0.001);carbon monoxide(CO)increased by 10μg/m~3,the number of respiratory outpatient and emergency visits would increase 3.34%(95%CI:1.57-5.15,P=0.001),and the most effective period was on the Zeroth day.The number of respiratory outpatient and emergency visits would increase-1.69%(95%CI:-1.80--1.57,P=0.001)with sulfur ioxide(SO_2)increased 10μg/m3,and the most effective period was on the 1th day.The number of respiratory outpatient and emergency visits would increase -0.12%(95%CI:-0.15--0.10,P=0.001)with O_3 increased 10μg/m~3,and the most effective period was on the 5th day.In the analysis of double pollutant model,under the influence of SO_2,CO had a significant effect on the number of outpatient and emergency visits with respiratory diseases.Conclusion The results of this study suggest that in Yanqing District,increasing concentrations of PM_(2.5),PM_(10),NO_2 and CO will cause an increase in the number of outpatient and emergency visits for respiratory diseases,and there are interactions between different pollutants.
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