基于1995-2024年死因谱演变的上海市徐汇区居民期望寿命分解研究

Decomposition of life expectancy of residents in Xuhui district of Shanghai based on evolution of cause of death spectrum during 1995-2024

  • 摘要:
    目的 分析上海市徐汇区户籍居民1995-2024年期望寿命的趋势变化,探讨死因谱变化对期望寿命的影响,为卫生资源分配及公共卫生服务政策制定提供依据。
    方法 利用上海市公安局徐汇分局人口数据及上海市疾病控制信息管理平台的死亡数据,运用Joinpoint软件计算期望寿命年度变化百分比(APC),分析趋势的动态变化特征,将1995-2024年划分为1995-2009年和2009-2024年两个时期,应用简略寿命法、期望寿命分解法(Arriaga's)、死因分解法,分析不同年龄别及死因别对期望寿命的影响。
    结果 1995-2024年上海市徐汇区户籍居民全人群、男性及女性期望寿命分别增加了8.61岁、7.83岁及9.45岁,APC均呈上升趋势(P<0.05);两个时期中,全人群、男性及女性对期望寿命贡献分别为6.57岁、5.91岁、7.28岁及2.04岁、1.92岁、2.17岁,1995-2009年APC上升趋势高于2009-2024年,女性增寿均大于男性;各年龄组中,65~<85岁年龄组对期望寿命增加贡献最大,其次为45~<65岁组,增寿均女性大于男性;17大类疾病中,全人群期望寿命“正向贡献”的主要死因依次为循环系统疾病(2.86岁)、肿瘤(1.91岁)及呼吸系统疾病(1.74岁),男性期望寿命“正向贡献”主要死因依次为肿瘤、循环系统疾病及呼吸系统疾病,女性与全人群相似。全人群、男性及女性“负向贡献”的主要死因均为内分泌、营养和代谢疾病(−0.64岁、−0.76岁及−0.48岁);两个时期中,1995-2009年全人群及女性期望寿命“正向贡献”的主要死因依次为循环系统疾病、呼吸系统疾病及肿瘤,男性与1995-2024年全人群及女性相似。2009-2024年全人群及男性期望寿命“正向贡献”主要死因依次为呼吸系统疾病、肿瘤及循环系统疾病,女性依次为循环系统疾病、呼吸系统疾病及肿瘤。
    结论 加强人群慢性病防控与健康管理体系,聚焦65~<85岁及45~<65岁(特别是男性)高危人群,构建全周期慢性病防治体系,是提升期望寿命的有效途径。

     

    Abstract:
    Objective To analyze the change trend of life expectancy of registered residents in Xuhui district, Shanghai, from 1995 to 2024, evaluate the impact of changes in the cause-and-death spectrum on life expectancy, and provide evidence for the allocation of health resources and the development of public health service policies.
    Methods Based on the population data and death data from the Xuhui Branch of the Shanghai Public Security Bureau and the Shanghai Disease Control and Prevention Information Management Platform, software Joinpoint was used to calculate the annual percentage change (APC) of life expectancy of local residents for the analysis on the dynamic change trend of time series data. The period from 1995 to 2024 was divided into two periods: 1995-2009 and 2009-2024. The simplified life expectancy method, life expectancy decomposition method (Arriaga's), and causal-cause decomposition method were used to analyze the age and disease (death cause) specific influences on the life expectancy of local residents.
    Results From 1995 to 2024, the life expectancy of the entire population, men and women with household registration in Xuhui increased by 8.61 years, 7.83 years and 9.45 years, respectively, and the APCs all showed an upward trends (P<0.05). During the two periods, the contributions of the entire population, men and women to life expectancy were 6.57 years, 5.91 years, 7.28 years and 2.04 years, 1.92 years, 2.17 years, respectively. The upward trend of APC from 1995 to 2009 was higher than that from 2009 to 2024, and the increase in life expectancy was greater in women than in men. In all the age groups, age group 65-<85 years made the greatest contributes to the increase of life expectancy, followed by age group 45−<65 years. Among the 17 major diseases, the first three diseases that made "positive contribution" to the life expectancy of the entire population were circulatory system disease (2.86 years), tumor (1.91 years), and respiratory system disease (1.74 years). The first three diseases that made "positive contribution" to the life expectancy of men were tumor, circulatory system disease, and respiratory system disease. The first three diseases that made “positive contribution” to the life expectancy of women were similar to those in the entire population. While the diseases having "negative contribution" the life expectancy of the entire population, men and women were endocrine nutritional and metabolic diseases (−0.64 years, −0.76 years and −0.48 years). The first three diseases having "positive contribution" to the life expectancy of the entire population and women were circulatory system disease, respiratory system disease and tumor during 1995−2009, and similar result was found in men from 1995 to 2024. During 2009−2024, the first three diseases having "positive contribution" to life expectancy of the entire population and men were respiratory disease, tumor and circulatory system disease, while they were circulatory system disease, respiratory system disease and tumor in women.
    Conclusion It is necessary to strengthen the population based prevention and control of chronic diseases and the health management focusing on high-risk groups aged 65−<85 and 45−<65, especially on men, and establish a full-cycle chronic disease prevention and control system to effectively increase people’s life expectancy.

     

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