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张帆, 刘晓丽, 赵晶晶, 李玫, 刘玉环, 岳福娟, 马小焱, 孙纪新, 崔泽. 河北省死因监测点居民2014 — 2020年脑卒中早死所致寿命年损失及变化趋势分析[J]. 中国公共卫生. DOI: 10.11847/zgggws1142488
引用本文: 张帆, 刘晓丽, 赵晶晶, 李玫, 刘玉环, 岳福娟, 马小焱, 孙纪新, 崔泽. 河北省死因监测点居民2014 — 2020年脑卒中早死所致寿命年损失及变化趋势分析[J]. 中国公共卫生. DOI: 10.11847/zgggws1142488
ZHANG Fan, LIU Xiaoli, ZHAO Jingjing, LI Mei, LIU Yuhuan, YUE Fujuan, MA Xiaoyan, SUN Jixin, CUI Ze. Level and change of years of life lost due to premature death from stroke among residents in mortality surveillance sites of Hebei province, 2014 – 2020[J]. Chinese Journal of Public Health. DOI: 10.11847/zgggws1142488
Citation: ZHANG Fan, LIU Xiaoli, ZHAO Jingjing, LI Mei, LIU Yuhuan, YUE Fujuan, MA Xiaoyan, SUN Jixin, CUI Ze. Level and change of years of life lost due to premature death from stroke among residents in mortality surveillance sites of Hebei province, 2014 – 2020[J]. Chinese Journal of Public Health. DOI: 10.11847/zgggws1142488

河北省死因监测点居民2014 — 2020年脑卒中早死所致寿命年损失及变化趋势分析

Level and change of years of life lost due to premature death from stroke among residents in mortality surveillance sites of Hebei province, 2014 – 2020

  • 摘要:
      目的  分析河北省死因监测点居民2014 — 2020年脑卒中早死所致寿命年损失及变化趋势,为该地区居民脑卒中的预防控制提供参考依据。
      方法  收集河北省疾病预防控制中心网络直报死因监测系统中2014年1月1日 — 2020年12月31日30个死因监测点居民的脑卒中死亡数据,计算脑卒中的早死寿命损失年(YLL)、YLL率和平均每人的早死寿命年损失年(AYLL),并应用Joinpoint回归模型计算年度变化百分比(APC)评估脑卒中早死所致寿命年损失的变化趋势。
      结果  河北省死因监测点居民2014 — 2020年因脑卒中早死所致YLL为475002人年,YLL率为4.90‰,AYLL为10.44年;除YLL外,河北省死因监测点居民2014 — 2020年脑卒中YLL率和AYLL均随年份增加呈下降趋势(APC = – 2.64%和 – 0.80%,均P < 0.05);男性和女性居民的YLL分别为333103人年和141899人年,YLL率分别为6.71‰和3.00‰,AYLL分别为10.98年和9.37年,男性居民YLL、YLL率和AYLL分别为女性居民的2.35、2.24和1.17倍; < 20岁居民的AYLL最高(54.55年),40~59岁居民的YLL最高(329240人年), ≥ 60岁居民的YLL率最高(13.24‰);城市和农村居民YLL分别为52248人年和422754人年,YLL率分别为2.01‰和5.96‰,AYLL分别为11.19年和10.36年,农村居民YLL和YLL率分别为城市居民的8.09倍和2.97倍,城市居民AYLL为农村居民的1.07倍;YLL、YLL率和AYLL均以出血性脑卒中居民为最高,分别为347387人年、3.58‰和11.80年。
      结论  河北省死因监测点居民2014 — 2020年脑卒中早死所致寿命年损失虽有下降趋势但形势依然严峻,其中男性、 ≥ 40岁、农村和出血性脑卒中居民的脑卒中早死所致寿命年损失较为严重。

     

    Abstract:
      Objective  To analyze the years of life lost (YLL) due to premature death from stroke among the residents in mortality surveillance sites of Hebei province between 2014 and 2020, as well as the trend of change, for stroke prevention and control in the region.
      Methods  The data of 2014 – 2020 on stroke deaths among the residents in thirty mortality surveillance sites of Hebei province were collected online from the Death Registry Information System of Hebei Provincial Center for Disease Control and Prevention. Excel 2010 was used in data processing and calculations of YLL, YLL rate and average years of life loss (AYLLs) due to stroke mortality and the annual percentage change (APC) was determined using Joinpoint Regression Software 4.9.0.0 to evaluate trends in those indicators.
      Results  The YLL, YLL rate and AYLL of the residents during the 7-year period were 475 002 person-years, 4.90‰ and 10.44 years, respectively. Except for YLL, the YLL rate and AYLL showed a decreasing trend, with the APCs of – 2.64% and – 0.80%, (both P < 0.05). For the male and female residents. the YLLs were 333 103 person-years and 141 899 person-years, the YLL rates were 6.71‰ and 3.00‰, and the AYLL were 10.98 years and 9.37 years, respectively; the YLL, YLL rate and AYLL of male residents were 2.35, 2.24 and 1.17 times of those of female residents. The age-group-specific AYLL, YLL, and YLL rate were the highest for the residents aged < 20 years (54.55 years), 40 – 59 years (329 240 person-years), and ≥ 60 years (13.24‰). For the urban and rural residents, the YLLs were 52 248 person-years and 422 754 person-years; the YLL rates were 2.01‰ and 5.96‰, and the AYLL were 11.19 years and 10.36 years, respectively; the YLL and YLL rate of rural residents were 8.09 and 2.97 times of those of urban residents, and the AYLL of urban residents was 1.07 times of that of rural residents. In terms of stroke type, the highest YLL (347 387 person-years), YLL rate (3.58‰), and AYLL (11.80 years) were attributed to hemorrhagic stroke. For the whole population studied, all the YLL rate, standardized YLL rate, and AYLLs showed a decreasing trend, with the APCs of – 2.64% (t = – 5.63, P = 0.002), – 3.27% (t = – 5.63, P = 0.002), and – 0.80% (t = – 2.80, P = 0.038), respectively.
      Conclusion  Although there was a downward trend in years of life lost due to premature death from stroke among the residents in mortality surveillance sites of Hebei province between 2014 and 2020, the disease burden caused by stroke was still relatively high, especially for the males, the residents aged ≥ 40 years, rural residents, and those with hemorrhagic stroke.

     

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