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上海市大气污染对小学生肺功能小气道指标的急性效应研究
引用本文:张莉君,郭常义,许慧慧,许东,沈先标,杜向阳,章敏华,谈建国,张江华,东春阳,钱海雷,施烨闻,潘梅竹,周晓丹. 上海市大气污染对小学生肺功能小气道指标的急性效应研究[J]. 中华流行病学杂志, 2017, 38(2): 147-153
作者姓名:张莉君  郭常义  许慧慧  许东  沈先标  杜向阳  章敏华  谈建国  张江华  东春阳  钱海雷  施烨闻  潘梅竹  周晓丹
作者单位:200336 上海市疾病预防控制中心/上海市预防医学研究院环境卫生科;200336 上海市疾病预防控制中心/上海市预防医学研究院中心办公室;200336 上海市疾病预防控制中心/上海市预防医学研究院环境卫生科;200237 上海市徐汇区疾病预防控制中心环境职业卫生科;201901 上海市宝山区疾病预防控制中心环境卫生科;200023 上海市黄浦区疾病预防控制中心环境卫生科;200336 上海市疾病预防控制中心/上海市预防医学研究院公共服务与健康安全评价所;200030 上海市气象局气象与健康重点实验室;200336 上海市疾病预防控制中心/上海市预防医学研究院环境卫生科;200336 上海市疾病预防控制中心/上海市预防医学研究院环境卫生科;200336 上海市疾病预防控制中心/上海市预防医学研究院环境卫生科;200336 上海市疾病预防控制中心/上海市预防医学研究院环境卫生科;200336 上海市疾病预防控制中心/上海市预防医学研究院环境卫生科;200336 上海市疾病预防控制中心/上海市预防医学研究院环境卫生科
基金项目:上海市卫生和计划生育委员会面上项目(20134289);中美公共卫生人才培训项目-Fogarty基金(TW005741-07);上海市公共卫生重点学科建设,环境卫生与劳动卫生学(15GWZK0201)
摘    要:目的 分析上海市复合型大气污染对儿童肺功能小气道指标的急性影响。方法 在上海市内环、中环和外环各选择一所小学(A、B和C),每所学校各随机抽取3~5年级一个班级学生为研究对象(共233人);A、B两校于2013年12月和C校于2014年12月测试肺功能3次,各校分别于次年5-6月测试第4次肺功能。同时收集同期三校就近环境空气质量监测点大气细颗粒物(PM2.5)、可吸入颗粒物(PM10)、二氧化硫(SO2)和二氧化氮(NO2)污染物数据和气象监测数据;采用线性混合效应模型分析大气污染对肺功能小气道指标的影响。结果 控制气象因素和个体因素后,PM2.5、PM10滞后2 d和累计滞后2 d、SO2累计滞后2 d和NO2检测当日浓度每增加一个四分位间距(IQR),儿童25%肺活量最大呼吸流速(MEF25%)、50%肺活量最大呼吸流速(MEF50%)、75%肺活量最大呼吸流速(MEF75%)和用力呼气中段流速(FEF25%~75%)均有不同程度的降低(P<0.05或P<0.01);双污染物模型分析显示SO2和NO2分别叠加PM2.5和PM10污染时,滞后效应值大于SO2和NO2单独存在时(P<0.05)。结论 上海市大气污染物短期暴露与儿童肺功能小气道指标变化呈负相关,并存在滞后效应及累计滞后效应。

关 键 词:空气污染  肺活量最大呼吸流速  混合效应模型  小学生
收稿时间:2016-09-22

Acute effect of ambient air pollution on small airway lung functions among school children in Shanghai
Zhang Lijun,Guo Changyi,Xu Huihui,Xu Dong,Shen Xianbiao,Du Xiangyang,Zhang Minhu,Tan Jianguo,Zhang Jianghu,Dong Chunyang,Qian Hailei,Shi Yewen,Pan Meizhu and Zhou Xiaodan. Acute effect of ambient air pollution on small airway lung functions among school children in Shanghai[J]. Chinese Journal of Epidemiology, 2017, 38(2): 147-153
Authors:Zhang Lijun  Guo Changyi  Xu Huihui  Xu Dong  Shen Xianbiao  Du Xiangyang  Zhang Minhu  Tan Jianguo  Zhang Jianghu  Dong Chunyang  Qian Hailei  Shi Yewen  Pan Meizhu  Zhou Xiaodan
Affiliation:Environmental Health Department, Shanghai Municipal Center for Disease Control and Prevention/Shanghai Institute for Prevention Medicine, Shanghai 200336, China;General Office, Shanghai Municipal Center for Disease Control and Prevention/Shanghai Institute for Prevention Medicine, Shanghai 200336, China;Environmental Health Department, Shanghai Municipal Center for Disease Control and Prevention/Shanghai Institute for Prevention Medicine, Shanghai 200336, China;Environmental and Occupational Health Department, Shanghai Xuhui Centre for Disease Control and Prevention, Shanghai 200237, China;Environmental Health Department, Shanghai Baoshan Centre for Disease Control and Prevention, Shanghai 201901, China;Environmental Health Department, Shanghai Huangpu Centre for Disease Control and Prevention, Shanghai 200023, China;Division of Public Health Service and Safety Assessment, Shanghai Municipal Center for Disease Control and Prevention/Shanghai Institute for Prevention Medicine, Shanghai 200336, China;Shanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Service, Shanghai 200030, China;Environmental Health Department, Shanghai Municipal Center for Disease Control and Prevention/Shanghai Institute for Prevention Medicine, Shanghai 200336, China;Environmental Health Department, Shanghai Municipal Center for Disease Control and Prevention/Shanghai Institute for Prevention Medicine, Shanghai 200336, China;Environmental Health Department, Shanghai Municipal Center for Disease Control and Prevention/Shanghai Institute for Prevention Medicine, Shanghai 200336, China;Environmental Health Department, Shanghai Municipal Center for Disease Control and Prevention/Shanghai Institute for Prevention Medicine, Shanghai 200336, China;Environmental Health Department, Shanghai Municipal Center for Disease Control and Prevention/Shanghai Institute for Prevention Medicine, Shanghai 200336, China;Environmental Health Department, Shanghai Municipal Center for Disease Control and Prevention/Shanghai Institute for Prevention Medicine, Shanghai 200336, China
Abstract:Objective To study the acute effects of compound ambient air pollution on small airway lung functions among school children in Shanghai. Method A longitudinal survey on lung functions was conducted among 233 school-children from three schools (A, B and C, located in inner-ring, mid-ring and outer-ring areas). Lung function test was performed once a week for 3 times respectively, among children in school A and B in Dec. 2013 and in school C in Dec. 2014. The fourth lung function test was tested in Jun. 2014 and May 2015 in the respective schools. Results from the lung function would include items as:forced mid-expiratory flow at 25% of forced vital capacity (MEF25%), mid-expiratory flow at 50% of forced vital capacity (MEF50%), mid-expiratory flow at 75% of forced vital capacity (MEF75%) and mid-expiratory flow between 25% and 75% of the forced vital capacity (FEF25%-75%). Data regarding the daily air quality real-time of PM2.5, PM10, SO2 and NO2 in Dec. 2013, Dec. 2014, Jun. 2014 and May. 2015 from the three environmental monitoring spots and meteorological data from the Shanghai Meteorological Service system which were physically close to the three schools, were collected simultaneously. Linear mixed effect model was used to examine the levels of correlation between lung function indicators and ambient air pollutants. Results When confounding factors on meteorology and individuals were controlled, the lag effects and accumulated lag effects were found to have existed between the internal quarter rang (IQR) concentration of PM2.5 and PM10 in lag2 day and lag02 days, IQR concentration of SO2 in lag02 day and IQR concentration of NO2 lag0 day, when small airway lung functions like MEF25%, MEF50%, MEF75% and FEF25%-75%(P<0.05) were inspected. Results from the two air pollutants model analysis showed that SO2 and NO2 presenting interactive effects with PM2.5, PM10 and lag effects more significant than the individual SO2 and NO2, respectively (P<0.05). Conclusion Contents on the ambient air pollutants as PM2.5, PM10, SO2 and NO2 were negatively associated with the lung functions in the small airways of children, in Shanghai.
Keywords:Air pollution  Mid-expiratory flow of forced vital capacity  Mixed effect model  Primary school student
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