中国全科医学 ›› 2019, Vol. 22 ›› Issue (12): 1419-1425.DOI: 10.12114/j.issn.1007-9572.2019.00.040

• 专题研究 • 上一篇    下一篇

大气颗粒物(PM2.5和PM10)与浦东新区居民慢性阻塞性肺疾病死亡的相关性研究

陈亦晨,李小攀,孙良红,陈涵一,曲晓滨,张格,陈华,周弋*,林涛,孙乔   

  1. 200136上海市,浦东新区疾病预防控制中心科研与信息管理办公室 复旦大学浦东预防医学研究院
    *通信作者:周弋,副主任医师;E-mail:yizhou517@163.com
  • 出版日期:2019-04-20 发布日期:2019-04-20
  • 基金资助:
    基金项目:上海市浦东新区卫生和计划生育委员会学科建设项目(PWZxk2017-28);上海市浦东新区卫生和计划生育委员会优秀青年医学人才培养计划(PWRq2017-33)

Particulate Matters(PM2.5/PM10)and COPD Mortality in Pudong New Area of Shanghai 

CHEN Yichen,LI Xiaopan,SUN Lianghong,CHEN Hanyi,QU Xiaobin,ZHANG Ge,CHEN Hua,ZHOU Yi*,LIN Tao,SUN Qiao   

  1. Office of Research and Information Affairs,Shanghai Pudong New Area Center for Disease Control and Prevention/Fudan University Pudong Institute of Preventive Medicine,Shanghai 200136,China
    *Corresponding author:ZHOU Yi,Associate chief physician;E-mail:yizhou517@163.com
  • Published:2019-04-20 Online:2019-04-20

摘要: 背景 慢性阻塞性肺疾病因其高患病率及高病死率已得到全世界的广泛关注,但目前针对大气颗粒物与社区居民慢性阻塞性肺疾病死亡相关性的研究较少。目的 评估大气颗粒物(PM2.5、PM10)与浦东新区居民慢性阻塞性肺疾病死亡的相关性,为制定相应的干预措施提供依据。方法 2013-01-01至2017-12-31浦东新区居民逐日慢性阻塞性肺疾病死亡资料来源于居民死因监测数据库,同时期的上海市大气污染物(PM2.5、PM10、SO2、NO2)数据来源于上海市环境监测中心,气象因素(气温、相对湿度、大气压、风速)资料来源于浦东新区气象局的浦东新区监测资料。采用Poisson分布广义相加模型分析大气颗粒物(PM2.5、PM10)与居民每日慢性阻塞性肺疾病死亡的相关性,并且根据不同年龄(低龄为<80岁,高龄为≥80岁)、学历(低学历为中学以下,高学历为中学及以上)分别建立模型。居民慢性阻塞性肺疾病死亡当日及前1、2、3 d大气颗粒物(PM2.5、PM10)浓度以及死亡当日与前1、2、3 d大气颗粒物(PM2.5、PM10)平均浓度,分别以lag0、lag1、lag2、lag3、lag03表示。结果 PM2.5与PM10、SO2、NO2、大气压呈正相关,与气温、相对湿度、风速呈负相关(P<0.05);PM10与SO2、NO2、大气压呈正相关,与气温、相对湿度、风速呈负相关(P<0.05);SO2与NO2、大气压呈正相关,与气温、相对湿度、风速呈负相关(P<0.05);NO2与气温、相对湿度呈负相关,与大气压、风速呈正相关(P<0.05);气温与相对湿度呈正相关,与大气压呈负相关(P<0.05);相对湿度与大气压、风速呈负相关(P<0.05)。单污染物模型分析结果显示:PM2.5在lag0、lag1、lag2、lag03时间点上效应显著(P<0.05),在lag3时间点上效应不显著(P>0.05);PM10在lag0、lag1、lag2、lag3、lag03时间点上效应显著(P<0.05)。年龄分层显示:对于低龄人群,PM2.5、PM10在lag0、lag1、lag2、lag3、lag03时间点上效应不显著(P>0.05)。对于高龄人群,PM2.5在lag0、lag1、lag2、lag03时间点上效应显著(P<0.05),在lag3时间点上效应不显著(P>0.05);PM10在lag0、lag1、lag2、lag3、lag03时间点上效应显著(P<0.05)。学历分层显示:对于低学历人群,PM2.5、PM10在lag0、lag1、lag2、lag03时间点上效应显著(P<0.05),在lag3时间点上效应不显著(P>0.05)。对于高学历人群,PM2.5在lag1时间点上效应显著(P<0.05),在lag0、lag2、lag3、lag03时间点上效应不显著(P>0.05);PM10在lag1、lag03时间点上效应显著(P<0.05),在lag0、lag2、lag3时间点上效应不显著(P>0.05)。多污染物模型分析结果显示,在单独控制SO2、NO2及同时控制SO2、NO2的情况下,PM2.5对全人群、低龄人群、高龄人群、低学历人群、高学历人群的效应均不显著(P>0.05);在单独控制SO2及同时控制SO2、NO2的情况下,PM10对全人群、低龄人群、高龄人群、低学历人群、高学历人群的效应均不显著(P>0.05);在单独控制NO2的情况下,PM10对全人群、低龄人群、低学历人群、高学历人群的效应均不显著(P>0.05);在单独控制NO2的情况下,PM10对高龄人群的效应显著(P<0.05)。结论 大气颗粒物(PM2.5、PM10)浓度上升对浦东新区居民慢性阻塞性肺疾病死亡产生显著影响,高龄与低学历慢性阻塞性肺疾病患病人群对大气颗粒物(PM2.5、PM10)浓度变化更为敏感,应重点加强对敏感人群的大气颗粒物(PM2.5、PM10)危害的保护措施。

关键词: 肺疾病, 慢性阻塞性;死亡;颗粒物;大气;广义相加模型;时间序列分析

Abstract: Background The health hazards of chronic obstructive pulmonary disease(COPD)has caused widespread concern around the world due to its high prevalence rate and high mortality rate,but the study about the relationship between the concentration of particulate matters and daily COPD mortality was still rare.Objective To explore the relationship between the concentration of particulate matters(PM2.5,PM10)and daily COPD mortality in Pudong New Area,so as to provide a reference to establish intervention measures.Methods The daily COPD mortality data between 1 January 2013 and 31 December 2017 was originated from the local death surveillance database.The data of air pollution in Shanghai including the concentration of particulate matters(PM2.5,PM10,SO2,NO2)were offered by Shanghai Environmental Monitoring Center,and the data of meteorology in Pudong New Area including temperature,relative humidity,atmospheric pressure and wind speed were received from Meteorological Bureau of Pudong New Area.A generalized additive model(GAM)based on Poisson distribution was performed to analyze the association between particulate matters(PM2.5,PM10)and daily COPD death,and the COPD death data was stratified according to age(young group <80 years,old group≥80 years)and education level(the low educated group without the middle school education,the highly educated group with middle school education and above).The concentration of particulate matters(PM2.5,PM10)at the day that the COPD death happen,one day before,two days before and three days before the death and the average concentration of particulate matters in the four days were presented as lag0,lag1,lag2,lag3 and lag03,respectively.Results The concentration of PM2.5 was positively correlated with the concentration of PM10,SO2,NO2 and atmospheric pressure,and negatively correlated with temperature,relative humidity and wind speed(P<0.05);the concentration of PM10 was positively correlated with the concentration of SO2,NO2 and atmospheric pressure,and negatively correlated with temperature,relative humidity and wind speed(P<0.05);the concentration of SO2 was positively correlated with the concentration of NO2 and atmospheric pressure,and negatively correlated with temperature,relative humidity and wind speed(P<0.05);the concentration of NO2 was negatively correlated with air temperature and relative humidity,and positively correlated with atmospheric pressure and wind speed(P<0.05).Temperature was positively correlated with relative humidity,and negatively correlated with atmospheric pressure(P<0.05).Relative humidity was negatively correlated with atmospheric pressure and wind speed(P<0.05).The results of the single pollutant model showed that the effect of PM2.5 on daily COPD mortality was significant at lag0,lag1,lag2 and lag03(P<0.05),and not significant at lag3(P>0.05);the effect of PM10 was significant at lag0,lag1,lag2,lag3 and lag03(P<0.05).After stratification according to age,the effect of PM2.5 and PM10 on daily COPD death count was not significant at lag0,lag1,lag2,lag3 and lag03 among young group(P>0.05);the effect of PM2.5 on daily COPD mortality among the old group was significant at lag0,lag1,lag2 and lag03(P<0.05),and not significant at lag3(P>0.05);the effect of PM10 was significant at lag0,lag1,lag2,lag3 and lag03 among the old group(P<0.05).After stratification according to education level,the effect of PM2.5 and PM10 on daily COPD mortality among low educated group was significant at lag0,lag1,lag2 and lag03(P<0.05),and not significant at lag3(P>0.05);the effect of PM2.5 was significant on daily COPD mortality among highly educated group at lag1(P<0.05),and not significant at lag0,lag2,lag3 and lag03(P>0.05);the effect of PM10 was significant on daily COPD mortality among highly educated group at lag1 and lag03(P<0.05),and not significant at lag0,lag2 and lag3(P>0.05).The results of multi-pollutant model showed that the effect of PM2.5 was not significant on the daily COPD mortality among the whole crowd,old group,young group,low educated group and highly educated group after the effect of SO2 and NO2 had been controlled separately and simultaneously(P>0.05).The effect of PM10 was not significant on the daily COPD mortality among the whole crowd,old group,young group,low educated group and highly educated group after the effect of SO2 had been controlled or the effect of SO2 and NO2 had been controlled simultaneously(P>0.05).When the effect of NO2 had been independently controlled,the effect of PM10 was not significant among the whole crowd,young group,low educated group and highly educated group(P>0.05),and its effect was significant among the old group(P<0.05).Conclusion Increased concentrations of atmospheric particulate matters(PM2.5,PM10)have a significant impact on the mortality of chronic obstructive pulmonary disease(COPD)in Pudong New Area.The old group and the low educated group of patients with chronic obstructive pulmonary disease were more sensitive to the concentration change of particulate matters(PM2.5,PM10),and relative measures should be enhanced to protect the sensitive population from the hazard of particulate matters(PM2.5,PM10).

Key words: Pulmonary disease, chronic obstructive;Death;Particulate matter;Atmosphere;Generalized additive model;Time-series analysis