Ji Chenyang, Ge Xiaolei, Zhang Jiale, Tong Hongxuan
Faculty of Medicine, University of Malaya, Kuala Lumpur, 50603, Malaysia.
Wangjing Hospital of China Academy of Chinese Medical Sciences, Beijing, 100102, China.
Nutr Metab Cardiovasc Dis. 2025 Jul;35(7):103848. doi: 10.1016/j.numecd.2025.103848. Epub 2025 Jan 3.
To explore effective preventive strategies for stroke, it is of paramount importance to systematically assess its risk factors. Leveraging the Global Burden of Disease (GBD) data, this study aims to retrospectively analyze the long-term trends and epidemiological characteristics of stroke in China.
Drawing on the GBD 2021 data, this study conducted a comprehensive analysis of the burden of stroke in the Chinese population, encompassing prevalence, incidence, mortality, years of life lost (YLL), years lived with disability (YLDs), and disability-adjusted life years (DALYs). Subsequently, we examined the temporal trends of these indicators and employed a Joinpoint regression analysis coupled with an age-period-cohort (APC) model to precisely dissect mortality and incidence patterns. Furthermore, we delved into the attributable burden of stroke. The results indicated that the prevalence of stroke in China reached 26 million in 2021, representing a 104.26 % increase since 1990. Compared to 1990, the number of DALYs attributable to stroke increased by 45.25 %. Joinpoint analysis revealed a declining trend in incidence rates, while mortality rates showed a significant reduction. The APC model fitting outcomes suggested that prevalence rates were higher in recent generations than in the past, with an increase observed within the same age cohort. Notably, in 2019, the primary burden of cardiovascular diseases (CVDs) stemmed from metabolic risks, particularly hypertension, followed by air pollution particulate matter as an environmental risk factor.
Given China's vast population base and rapid aging process, the burden of stroke has emerged as a significant public health concern.
为探索有效的中风预防策略,系统评估其风险因素至关重要。本研究利用全球疾病负担(GBD)数据,旨在回顾性分析中国中风的长期趋势和流行病学特征。
本研究借鉴GBD 2021数据,对中国人群的中风负担进行了全面分析,包括患病率、发病率、死亡率、寿命损失年数(YLL)、带病生存年数(YLDs)和伤残调整生命年(DALYs)。随后,我们研究了这些指标的时间趋势,并采用Joinpoint回归分析结合年龄-时期-队列(APC)模型精确剖析死亡率和发病率模式。此外,我们深入探讨了中风的归因负担。结果表明,2021年中国中风患病率达2600万,自1990年以来增长了104.26%。与1990年相比,中风归因的DALYs数量增加了45.25%。Joinpoint分析显示发病率呈下降趋势,而死亡率显著降低。APC模型拟合结果表明,近几代人的患病率高于过去,且在同一年龄队列中呈上升趋势。值得注意的是,2019年,心血管疾病(CVDs)的主要负担源于代谢风险,尤其是高血压,其次是作为环境风险因素的空气污染颗粒物。
鉴于中国庞大的人口基数和快速的老龄化进程,中风负担已成为一个重大的公共卫生问题。