机构地区:[1]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:《中华肿瘤防治杂志》2020年第13期1021-1028,共8页Chinese Journal of Cancer Prevention and Treatment
基 金:上海市浦东新区卫生系统重点学科建设(PWZxk2017-28);上海市浦东新区卫生系统优秀青年医学人才培养计划(PWRq2017-33);浦东疾控卫生科技项目(PDCDC-2018-06)。
摘 要:目的肺癌是全球人口首位癌症死亡原因,严重危害人类的健康。了解2010-2018年浦东新区居民肺癌死亡的空间分布特征,为制定区域内差异化的肺癌防控措施提供依据。方法肺癌死亡数据来源于浦东新区死因监测系统,计算粗死亡率、标化死亡率、减寿率(potential years of life lost rate,PYLLR)与早死概率,分析各街镇居民肺癌死亡情况;采用地理信息系统(geographic information system,GIS)分析肺癌死亡的空间分布特征并进行趋势面分析;采用GeoDa软件进行空间自相关分析。结果 2010-2018年浦东新区居民肺癌粗死亡率为64.54/10万,标化死亡率为34.01/10万,PYLLR为2.41‰,早死概率为1.71%。趋势面分析结果显示,浦东新区居民肺癌粗死亡率、标化死亡率、PYLLR与早死概率在南北方向上呈中间高两端低的趋势;在东西方向上,肺癌粗死亡率、标化死亡率与早死概率呈中间高两端低的趋势,PYLLR由西向东逐步降低。全局空间自相关分析结果显示,浦东新区居民肺癌标化死亡率与早死概率呈空间正相关,肺癌粗死亡率与PYLLR空间自相关性则不显著。局部空间自相关分析结果显示,肺癌粗死亡率高-高聚集区域为周家渡街道;肺癌标化死亡率高-高聚集区域为浦东新区中部及南部城乡结合地区与农村地区;肺癌PYLLR高-高聚集区域为周家渡街道与三林镇;肺癌早死概率高-高聚集区为浦东新区中部的川沙新镇与西南部的航头镇、宣桥镇、新场镇与惠南镇。结论 2010-2018年浦东新区居民肺癌死亡率较高,并导致了严重的疾病负担,中部与南部城乡结合地区与农村地区居民受肺癌的危害更大,应列为肺癌防控的重点区域。OBJECTIVE At present,lung cancer is the leading cause of cancer death all over the world,threatening the health of the mankind.This study was to explore the spatial epidemiological characteristics of lung cancer mortality among residents in Pudong New Area of Shanghai from 2010 to 2018,so as to provide a reference for the formulation of the corresponding preventive measures for differentiated area.METHODS Records of lung cancer death data were derived from the death surveillance system.Crude mortality,age-standardized mortality,rate of potential years of life lost(PYLLR)and probability of premature death of lung cancer in subdistricts and towns of Pudong New Area were calculated.The spatial distribution and trend surface analysis were conducted by the geographical information system(GIS),and the spatial autocorrelation analysis was performed by GeoDa.RESULTS The crude mortality,age-standardized mortality,PYLLR and probability of premature death of lung cancer among residents in Pudong New Area between 2010 and2018 were 64.54/100 000,34.01/100 000,2.41‰and 1.71%,respectively.The trend surface analysis showed that the trend lines in the north-south direction for the crude mortality,age-standardized mortality,PYLLR and probability of premature death of lung cancer were high in middle and low at north-south extremes.The trend lines in east-west direction for crude mortality,age-standardized mortality and probability of premature death were high in middle and low at east-west extremes,and for PYLLR showed a downward trend from the west extreme to the east.The global autocorrelation analysis suggested that there existed a positive spatial autocorrelation for age-standardized mortality and probability of premature death of lung cancer,and the spatial autocorrelation for crude mortality and PYLLR were not significant.The local spatial autocorrelation analysis suggested that the High-High pattern area in crude mortality was Zhoujiadu Subdistrict.In the urban fringe and rural area located in central and south regions of
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