Burden of stroke in China: A decomposition analysis investigating the driven factors

IF 2.9 Q3 NEUROSCIENCES
IBRO Neuroscience Reports Pub Date : 2026-06-01 Epub Date: 2026-01-27 DOI:10.1016/j.ibneur.2026.01.012
Lijuan Fu , Wencai Jiang , Yanhua Peng , Xianjie Zhang , Rui Zhou
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Abstract

Background

While the degree of population aging is increasing, a nationwide stroke program was started in 2011. We analyzed how population aging outpaced gains in stroke care in China.

Methods

The number of deaths, incidence, prevalence, Disability-Adjusted Life Years (DALYs) attributable to stroke and its subtypes from 2012 to 2021 were extracted from the Global Health Data Exchange database. The total populations of age groups in 2012 and 2021 were extracted from the National Bureau of Statistics of China. The Das Gupta Decomposition method was applied to identify the contributions of population growth, population aging, and the changes in the incidence, mortality, prevalence, and DALYs.

Result

From 2012–2021, the total stroke incidence increased by 38.4 % (from 2.95 to 4.09 million), deaths by 17.6 % (from 2.20 to 2.59 million), and prevalence by 34.2 % (from 19.62 to 26.34 million) in China. Decomposition analysis identified rapid population aging as the predominant driver, accounting for 78.1 % of the incidence increase and even exceeding the total death increase (197.6 %), overwhelming the benefits from improved stroke care. The stroke subtype profile shifted markedly, with ischemic stroke's share of incidence rising from 62 % to 68 % and deaths from 41 % to 46 %, while intracerebral hemorrhage's contribution declined.

Conclusion

The escalating stroke burden in China is primarily driven by population aging, followed by population growth, creating a paradox where healthcare improvements are offset demographically. The epidemic is increasingly characterized by ischemic stroke, leading to a growing population of survivors requiring long-term care. This necessitates a paradigm shift in health policy from a focus solely on reducing acute mortality towards building cost-effective, integrated systems for lifelong stroke management, chronic care, and secondary prevention tailored for an aging society.
中国脑卒中负担:驱动因素的分解分析
随着人口老龄化程度的加剧,2011年开始了全国范围内的中风防治计划。我们分析了中国人口老龄化如何超过中风护理的增长。方法从全球健康数据交换数据库中提取2012年至2021年脑卒中及其亚型的死亡人数、发病率、患病率、残疾调整生命年(DALYs)。2012年和2021年各年龄组人口总数取自中国国家统计局数据。采用Das Gupta分解方法确定人口增长、人口老龄化以及发病率、死亡率、患病率和DALYs变化的贡献。结果2012-2021年,中国脑卒中总发病率增加38.4% %(从295万增加到409万),死亡人数增加17.6% %(从220万增加到259万),患病率增加34.2% %(从1962万增加到2634万)。分解分析发现,人口快速老龄化是主要驱动因素,占发病率增加的78.1 %,甚至超过总死亡增加(197.6 %),压倒了改善卒中护理的好处。脑卒中的亚型特征发生了显著变化,缺血性脑卒中的发病率从62% %上升到68% %,死亡从41% %上升到46% %,而脑出血的发病率下降。结论中国脑卒中负担的增加主要是由人口老龄化驱动的,其次是人口增长,造成了医疗保健改善被人口统计学抵消的悖论。这种流行病越来越多地以缺血性中风为特征,导致越来越多的幸存者需要长期护理。这就需要在卫生政策方面进行范式转变,从只注重降低急性死亡率转向为老龄化社会量身打造具有成本效益的终身卒中管理、慢性护理和二级预防综合系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IBRO Neuroscience Reports
IBRO Neuroscience Reports Neuroscience-Neuroscience (all)
CiteScore
2.80
自引率
0.00%
发文量
99
审稿时长
14 weeks
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