20122021年上海市奉贤区居民糖尿病死亡特征分析

Analysis of diabetes mortality characteristics among the residents in Fengxian DistrictShanghai2012‒2021

  • 摘要:
    目的 了解2012—2021年上海市奉贤区居民糖尿病死亡率变化趋势及死亡人群特征。
    方法 利用上海市死因监测系统中2012—2021年奉贤区户籍居民死亡登记资料,估算糖尿病粗死亡率、标化死亡率、减寿率和早死概率等指标。利用年度变化百分比(APC)分析糖尿病死亡率、早死概率的时间变化趋势,利用死亡率差别分解法分析人口和非人口因素对糖尿病死亡率的贡献。
    结果 2012—2021年上海市奉贤区糖尿病死亡病例1 471例,平均粗死亡率为27.51/10万,平均标化死亡率为17.58/10万,粗死亡率总体呈上升趋势(APC=4.58%,Z=3.49,P<0.05)。2012—2021年上海市奉贤区居民因糖尿病潜在减寿年数为9 715人年,潜在减寿率为1.82‰,平均减寿年数为11.94年,早死概率为0.41%(APC=3.36%,t=2.33,P<0.05);人口老龄化和非人口老龄化因素均造成了糖尿病死亡率的上升,总人群贡献率分别为67.99%和32.01%,其中,男性贡献率分别为60.57%和39.43%,女性贡献率分别为79.43%和20.57%。
    结论 2012—2021年上海市奉贤区居民糖尿病粗死亡率和早死概率总体均呈上升趋势,减寿年数较高,其中人口老龄化是造成死亡率增加的主要因素,非人口因素对男性糖尿病死亡率增加的影响大于女性,应加强对男性糖尿病患者的管理。

     

    Abstract:
    Objective To investigate the trends in diabetes mortality rate and the characteristics of decreased population in Fengxian District, Shanghai from 2012 to 2021.
    Methods Data from the death registration records of the residents in Fengxian District between 2012 and 2021, sourced from the Shanghai Death Surveillance System, were analyzed. Indicators such as the crude mortality rate due to diabetes, the standardized mortality rate, years of life lost (YLL), and the probability of premature death were estimated. Annual percentage change (APC) was used to analyze the temporal trends of mortality and the probability of premature death due to diabetes. Rate decomposition analysis was used to assess the contributions of demographic and non-demographic factors to diabetes mortality.
    Results From 2012 to 2021, there were 1 471 deaths due to diabetes in Fengxian District, with a crude mortality rate of 27.51/100 000 and a standardized mortality rate of 17.58/100 000. The crude mortality rate showed an overall increasing trend (APC=4.58%, Z=3.49, P<0.05). The potential years of life lost (PYLL) due to diabetes over this period amounted to 9 715 person-years, with a PYLL rate of 1.82 ‰, and the average years of life lost (AYLL) was 11.94 years. The probability of premature death was 0.41% (APC=3.36%, t=2.33, P<0.05). Both population aging and non-aging factors contributed to the increase in diabetes mortality, with overall contribution rates of 67.99% and 32.01%, respectively. Among men, the contribution rates were 60.57% and 39.43%, while among women, they were 79.43% and 20.57%, respectively.
    Conclusion From 2012 to 2021, both the crude mortality rate and the probability of premature death due to diabetes showed an upward trend among the residents in Fengxian District, with a higher YLL. Population aging was the main factor causing the increase in mortality rate, while non-demographic factors had a greater impact on the rise in diabetes mortality among men than that in women. Therefore, the management on male diabetes patients should be strengthened.

     

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