2010-2020年上海市浦东新区居民慢性阻塞性肺疾病死亡率及早死概率空间流行病学特征分析  

Spatial epidemiological characteristics of the mortality and probability of premature death caused by chronic obstructive pulmonary disease among residents in Pudong New Area of Shanghai in 2010-2020

作　　者：陈亦晨 曲晓滨 陈华 孙良红 李小攀 陈涵一 杨琛 周弋 徐望红[1] CHEN Yi-chen;QU Xiao-bin;CHEN Hua;SUN Liang-hong;LI Xiao-pan;CHEN Han-yi;YANG Chen;ZHOU Yi;XYU Wang-hong(Fudan University School of Public Health,Shanghai 200032,China;Shanghai Pudong New Area Center for Disease Control and Prevention,Fudan University Pudong Institute of Preventive Medicine,Pudong New Area,Shanghai 200136,China)

机构地区：[1]复旦大学公共卫生学院,上海200032 [2]上海市浦东新区疾病预防控制中心复旦大学浦东预防医学研究院,上海200136

出　　处：《公共卫生与预防医学》2023年第1期44-48,共5页Journal of Public Health and Preventive Medicine

基　　金：上海市公共卫生体系建设三年行动计划(2020—2022年)优秀青年人才培养计划(GWV-10.2-YQ43);上海市公共卫生体系建设三年行动计划(2020—2022年)优秀学科带头人项目(GWV-10.2-XD24);上海市浦东新区卫生系统学科带头人培养计划(PWRd2019-11);浦东新区疾病预防控制中心卫生科技项目(PDCDC-2021-06)。

摘　　要：目的了解2010—2020年上海市浦东新区居民慢性阻塞性肺疾病死亡情况的空间流行病学特征,为制定区域内因地制宜的慢性阻塞性肺疾病防控策略提供参考。方法慢性阻塞性肺疾病死亡数据来源于浦东新区死因监测系统,分别计算各街镇居民慢性阻塞性肺疾病的粗死亡率、标化死亡率、早死概率,分析慢性阻塞性肺疾病死亡现状,利用地理信息系统(geographic information system,GIS)绘制慢性阻塞性肺疾病死亡空间分布图,利用趋势面分析与空间自相关分析探讨慢性阻塞性肺疾病死亡空间分布特征。结果2010—2020年浦东新区居民慢性阻塞性肺疾病粗死亡率为58.40/10万,标化死亡率为22.35/10万,早死概率为0.26%。趋势面分析显示,浦东新区居民慢性阻塞性肺疾病粗死亡率、标化死亡率、早死概率由北向南逐步升高;在东西方向上,粗死亡率、标化死亡率、早死概率由西向东逐步升高。全局空间自相关分析显示,浦东新区居民慢性阻塞性肺疾病粗死亡率、标化死亡率、早死概率均呈空间正相关。局部空间自相关分析显示,慢性阻塞性肺疾病粗死亡率、标化死亡率与早死概率的高-高聚集区域位均位于浦东新区东南部的农村地区。结论2010—2020年浦东新区居民慢性阻塞性肺疾病死亡存在城乡差异性。东南临海农村地区居民受慢性阻塞性肺疾病的危害更为严重,应引起关注。Objective To explore the spatial epidemiological characteristics of mortality and probability of premature death caused by chronic obstructive pulmonary disease(COPD)among residents in Pudong New Area of Shanghai from 2010 to 2020,and to provide reference for the formulation of chronic obstructive pulmonary disease prevention and control strategies according to local conditions.Methods The death data of chronic obstructive pulmonary disease were obtained from the local death surveillance system of Pudong New Area.Crude mortality,age-standardized mortality,and probability of premature death caused by COPD in each subdistricts and towns of Pudong New Area were calculated.The geographical information system(GIS)was used to plot the spatial distribution maps of chronic obstructive pulmonary disease death.The trend surface analysis and the spatial autocorrelation analysis were performed to analyze the spatial distribution of chronic obstructive pulmonary disease death.Results The crude mortality,age-standardized mortality and probability of premature death caused by COPD among residents in Pudong New Area between 2010 and 2020 were 58.40/100000,22.35/100000,and 0.26%,respectively.The results of trend surface analysis showed that the crude mortality,age-standardized mortality and probability of premature death caused by COPD gradually increased from north to south.In the east-west direction,the crude mortality,age-standardized mortality,and probability of premature death showed an upward trend from west to east.The global autocorrelation analysis suggested that there existed a positive spatial autocorrelation for the crude mortality,age-standardized mortality,and probability of premature death.The local spatial autocorrelation analysis showed that the high-high clustering areas of COPD crude mortality,standardized mortality and premature mortality were all located in the rural areas of the southeast of Pudong New Area.Conclusion There are urban and rural differences in the mortality of chronic obstructive pulmonary dis

关 键 词：慢性阻塞性肺疾病 死亡率 早死概率 空间流行病学 

分 类 号：R181[医药卫生—流行病学]