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  • 廖献琴,王维,罗峥,等.2009—2019年上海市某远郊社区居民死亡情况及人口构成定量分析[J].同济大学学报(医学版),2021,42(1):103-108.    [点击复制]
  • LIAO Xian-qin,WANG Wei,LUO Zheng,et al.Analysis on theall cause of death and its trends in a suburban community of Shanghai, 2009-2019[J].同济大学学报(医学版),2021,42(1):103-108.   [点击复制]
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2009—2019年上海市某远郊社区居民死亡情况及人口构成定量分析
廖献琴,王维,罗峥,徐洁,赵玫,徐晓云,李小攀
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(上海市普陀区宜川街道社区卫生服务中心全科,上海200065;上海国际旅行卫生保健中心传染病监测科,上海200322;上海健康医学院附属周浦医院神经内科,上海201318;上海市浦东新区王港社区卫生服务中心内科,上海200201;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,上海200136)
摘要:
目的分析上海市某远郊社区居民死亡特征及其趋势,为改善城镇化进程中社区居民健康水平提供数据参考。方法根据2009年1月1日—2019年12月31日上海市浦东新区王港社区户籍人口死因监测数据库,采用死亡率、标化死亡率、年度变化百分比(average annual percent change, AAPC)等指标对居民全死因数据进行分析,并采用率的差别分解法人口构成因素和非人口构成因素对死亡率差异的贡献。结果2009—2019年浦东新区某社区居民死亡2751人,粗死亡率为714.37/10万,中国标化死亡率为266.45/10万。总人口中国标化死亡率呈显著下降趋势[AAPC(95%CI)=-1.71%(-3.01%,-0.40%),P=0.03],粗死亡率呈显著上升态势[AAPC(95%CI)=2.42%(0.74%,4.12%),P=0.01];男性粗死亡率呈逐年上升趋势[AAPC(95%CI)=3.24%(1.31%,5.20%),P=0.004],女性标化死亡率呈逐年下降趋势[AAPC(95%CI)=-2.77%(-4.77%,-0.72%),P=0.01]。男性恶性肿瘤粗死亡率和标化死亡率均高于女性(P<0.05)。以2009年为基准,2014—2019年死亡率增加值中人口构成因素贡献151.08/10万,贡献率为73.78%,高于2009—2013年的相应数据(37.55/10万,61.58%)。结论当地居民死亡率的上升主要与老龄化有关,关注社区老年人健康需要,有助于改善当地居民健康水平
关键词:  根本死因  死亡率  人口构成因素  差异分析  趋势分析
DOI:10.12289/j.issn.1008-0392.20200
投稿时间:2020-04-29
基金项目:上海市浦东新区疾病预防控制中心“后备学科带头人”人才培养项目(PDCDC-HBXD2020-05);上海健康医学院师资人才百人库项目;上海健康医学院附属周浦医院院级课题(ZPXM-2019B-05)
Analysis on theall cause of death and its trends in a suburban community of Shanghai, 2009-2019
LIAO Xian-qin,WANG Wei,LUO Zheng,XU Jie,ZHAO Mei,XU Xiao-yun,LI Xiao-pan
(Dept. of General Practice, Yichuan Street Community Health Service Center of Putuo District, Shanghai 200065, China;Dept. of Infectious Disease Surveillance, Shanghai International Travel Healthcare Center, Shanghai 200322, China;Dept. of Neurology, Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, Pudong New Area, Shanghai 201318, China;Dept. of General Practice, Wanggang Community Health Service Center, Pudong New Area, Shanghai 201201, China;Office of Scientific Research and information Management, Center for Disease Control and Prevention, Pudong New Area, Fudan University Pudong Institute of Preventive Medicine, Shanghai 200136, China)
Abstract:
ObjectiveTo analyze the characteristics and trend of the death of the residents in a suburb of Shanghai. MethodsAccording to the mortality data of residents from 2009 to 2019 in a suburban community of Shanghai Pudong New Area, the crude mortality, age-standardized mortality rate by Chinese standard population(ASMRC), average annual percent change(AAPC) were calculated, and the contribution of demographic and non-demographic factors to all cause death were calculated by the differential decomposition method. ResultsFrom 2009 to 2019, 2751 people died in this community, with a crude mortality rate of 714.37/100000 and ASMRC of 266.45/100000. The ASMRC showed a significant downward trend [AAPC (95%CI)=-1.71%(-3.01%, -0.40%), P=0.03]. The crude mortality rate showed a significant upward trend [AAPC (95%CI)=2.42%(0.74%,4.12%), P=0.004]. The crude mortality rate of men showed an upward trend [AAPC (95%CI)=3.24%(1.31%,5.20%), P=0.02]; and the standardized mortality rate of women showed a significant downward trend [AAPC (95%CI)=-2.77%(-4.77%,-0.72%), P=0.04]. The crude mortality and standardized mortality of malignant tumors in males were higher than those in females (P<0.05). Based on 2009, the contribution of demographic factors to the added mortality in 2014-2019 was 151.08/100000 with a contribution rate of 73.78%, which was higher than the corresponding data in 2009-2013 (37.55/100000, 61.58%). ConclusionThe increase of crude mortality rate of local residents is mainly related to population aging. Paying attention to the health needs of the elderly in the community will help to improve the health level of local residents.
Key words:  underlying cause of death  mortality  demographic factors  decomposition method  trend analysis

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