Liu Yuyang, Wu Yanjuan, Chen Yuntao, Lobanov-Rostovsky Sophia, Liu Yixuan, Zeng Minrui, Bandosz Piotr, Roman Xu Dong, Wang Xueqin, Liu Yuanli, Hao Yuantao, French Eric, Brunner Eric J, Liao Jing
Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, 510000, China.
Shenzhen Health Development Research and Data Management Center, Shenzhen, China.
Lancet Reg Health West Pac. 2024 Jul 30;50:101158. doi: 10.1016/j.lanwpc.2024.101158. eCollection 2024 Sep.
It is unclear how temporal trends in dementia incidence, alongside fast-changing demography, will influence China's future dementia burden. We developed a Markov model that combines population trends in dementia, mortality, and dementia-related comorbidities, to forecast and decompose the burden of dementia in China to 2050.
Population-based Chinese ageing cohorts provided input data for a 10-health-state Markov macrosimulation model, IMPACT-China Ageing Model (CAM), to predict sex- and age-specific dementia prevalence among people aged 50+ by year to 2050. We assumed three potential future scenarios representing the range of likely dementia incidence trends: upward (+2.9%), flat (0%) or downward (-1.0%). Sensitivity analyses were conducted to examine uncertainty associated with trends in mortality rates and CVD incidence. The projected dementia burden was decomposed into population growth, population ageing, and changing dementia prevalence corresponding to the three incidence trend scenarios.
Under the upward trend scenario, the estimated number of people living with dementia is projected to rise to 66.3 million (95% uncertainty interval (UI) 64.7-68.0 million), accounting for 10.4% of the Chinese population aged 50+ by 2050. This large burden will be lower, 43.9 (95% UI 42.9-45.0) million and 37.5 (95% UI 36.5-38.4) million, if dementia incidence remains constant or decreases. Robustness of the projection is confirmed by sensitivity analyses. Decomposition of the change in projected dementia cases indicates dominate effects of increasing dementia prevalence and population ageing, and a relatively minor contribution from negative population growth.
Our findings highlight an impending surge in dementia cases in China in the forthcoming decades if the upward trend in dementia incidence continues. Public health interventions geared towards dementia prevention could play a pivotal role in alleviating this burgeoning disease issue.
National Science Foundation of China/UK Economic and Social Research Council.
目前尚不清楚痴呆症发病率的时间趋势以及快速变化的人口结构将如何影响中国未来的痴呆症负担。我们开发了一个马尔可夫模型,该模型结合了痴呆症、死亡率和痴呆症相关合并症的人口趋势,以预测和分解到2050年中国的痴呆症负担。
基于人群的中国老龄化队列提供了输入数据,用于一个10健康状态的马尔可夫宏观模拟模型,即中国老龄化影响模型(CAM),以预测到2050年每年50岁及以上人群中按性别和年龄划分的痴呆症患病率。我们假设了三种潜在的未来情景,代表了可能的痴呆症发病率趋势范围:上升(+2.9%)、持平(0%)或下降(-1.0%)。进行了敏感性分析,以检验与死亡率和心血管疾病发病率趋势相关的不确定性。预计的痴呆症负担被分解为人口增长、人口老龄化以及与三种发病率趋势情景相对应的痴呆症患病率变化。
在上升趋势情景下,预计到2050年痴呆症患者人数将增至6630万(95%不确定区间(UI)为6470万至6800万),占50岁及以上中国人口的10.4%。如果痴呆症发病率保持不变或下降,这一巨大负担将降低,分别为4390万(95% UI为4290万至4500万)和3750万(95% UI为3650万至3840万)。敏感性分析证实了预测的稳健性。预计痴呆症病例变化的分解表明,痴呆症患病率上升和人口老龄化起主导作用,而人口负增长的贡献相对较小。
我们的研究结果突出表明,如果痴呆症发病率的上升趋势持续下去,未来几十年中国的痴呆症病例将激增。针对痴呆症预防的公共卫生干预措施可能在缓解这一迅速发展的疾病问题中发挥关键作用。
中国国家自然科学基金/英国经济和社会研究委员会。