杜卫萍, 周媛, 李心伟, 张志君, 高荣涛. 2014 — 2019年山东省泰安市4种慢性病早死概率及变化趋势研究[J]. 疾病监测, 2022, 37(4): 537-542. DOI: 10.3784/jbjc.202105250300
引用本文: 杜卫萍, 周媛, 李心伟, 张志君, 高荣涛. 2014 — 2019年山东省泰安市4种慢性病早死概率及变化趋势研究[J]. 疾病监测, 2022, 37(4): 537-542. DOI: 10.3784/jbjc.202105250300
Du Weiping, Zhou Yuan, Li Xinwei, Zhang Zhijun, Gao Rongtao. Probability of premature deaths of 4 major chronic diseases and its change trend in Taian, Shandong, 2014–2019[J]. Disease Surveillance, 2022, 37(4): 537-542. DOI: 10.3784/jbjc.202105250300
Citation: Du Weiping, Zhou Yuan, Li Xinwei, Zhang Zhijun, Gao Rongtao. Probability of premature deaths of 4 major chronic diseases and its change trend in Taian, Shandong, 2014–2019[J]. Disease Surveillance, 2022, 37(4): 537-542. DOI: 10.3784/jbjc.202105250300

2014 — 2019年山东省泰安市4种慢性病早死概率及变化趋势研究

Probability of premature deaths of 4 major chronic diseases and its change trend in Taian, Shandong, 2014–2019

  • 摘要:
      目的   通过分析山东省泰安市心脑血管疾病、恶性肿瘤、慢性呼吸系统疾病与糖尿病4种主要慢性病死亡率、早死概率及其变化趋势,为政府制定慢病防控政策和策略提供科学依据。
      方法   利用死因监测系统中2014 — 2019年泰安市居民死亡监测资料,计算粗死亡率、标化死亡率、构成比、早死概率、平均年增长率和年度变化百分比。 用 SPSS 20.0软件进行统计分析,趋势变化采用曲线估计指数分布回归模型进行判别。
      结果   2014 — 2019年,泰安市4种主要慢性病死亡占总死亡的88.67%,早死概率由17.08%下降至16.46%,年度变化百分比(APC)为−0.80%,变化趋势差异有统计学意义(P=0.003),男性早死概率APC为−0.20%,变化趋势差异无统计学意义(P=0.467),女性APC为−1.78%,变化趋势差异有统计学意义(P=0.032)。 男性4种主要慢性病的平均早死概率(22.58%)高于女性(10.81%),4种主要慢性病的早死概率,男性分别是女性的2.02、2.38、2.37和1.06倍。
      结论   泰安市4种主要慢性病早死概率呈下降趋势,但与“健康中国2030”下降目标仍存在差距。 应将“健康”的理念融入公共政策制定实施的全过程,加快医防融合,以男性人群为重点,加速降低早死率。

     

    Abstract:
      Objective   To understand mortality rate, probability of premature deaths caused by four chronic diseases, i.e. cardiovascular and cerebrovascular diseases, malignant tumor, chronic respiratory disease, and diabetes, in Taian of Shandong province, and provide scientific evidence for the development of chronic disease prevention and control strategies.
      Methods   Using the death surveillance data in Taian residents during 2014–2019, The crude mortality rates, age-specific standardized mortality rates, constituent ratios, probabilities of premature deaths of four chronic diseases, the average annual growth rate and annual percentage change (APC) were calculated. The trend change was evaluated by curve estimated exponential distribution regression model with software SPSS 20.0.
      Results   From 2014 to 2019, the deaths caused by four chronic diseases accounted for 88.67% of the total. the overall probability of premature death decreased from 17.08% to 16.46%, the APC was −0.80%, the difference in change trend was significant (P=0.003). The APC of probability of premature death in men was −0.20%, the difference in change trend was not significant (P=0.467). The APC of probability of premature death in women was −1.78%, the difference in change trend was significant (P=0.032). The average probability of premature death caused four chronic diseases in men (22.58%) were higher than that in women (10.81%). Tthe probabilities of premature deaths of cardiovascular and cerebrovascular diseases, malignant tumor, chronic respiratory disease, and diabetes in men were 2.02 times, 2.38 times, 2.37 times, 1.06 times higher than those in women.
      Conclusion   The probabilities of premature deaths caused by major chronic diseases showed decline trends in Tai’an, however, the decline trends have not fully met the requirements of “Healthy China 2030” initiative. The concept of “health” should be fully considered in the process of public policy development and implementation, and it is necessary to strengthen the integration of medical treatment and prevention, especially in male population, to accelerate the reduction of premature deaths caused by chronic diseases.

     

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