Gui-Zhi Han, Zhao-Hui Liang, Li-Yan Guo, Miao-Miao Liu
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Meta-regression was used to explore the sources of heterogeneity and identify the factors that significantly affect the effect size. Funnel plots and Egger's test were utilized to evaluate publication bias.</p><p><strong>Results: </strong>A total of 23 studies were included, with a total sample size of 307,415, including 13,662 patients with AD. The results of the meta-analysis showed that the prevalence of AD among the elderly Chinese population was 5.4% (95% CI: 4.7%-6.2%). The results of the meta-regression indicated that factors such as female sex, advanced age, low educational level, rural residence, and geographical region are the main factors influencing the prevalence of AD.</p><p><strong>Conclusion: </strong>In the past decade, the prevalence of AD among people over 60 years of age in China was approximately 5.4%, which is a major public health problem for China.</p>","PeriodicalId":21281,"journal":{"name":"Revista de neurologia","volume":"80 6","pages":"36394"},"PeriodicalIF":0.8000,"publicationDate":"2025-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12326449/pdf/","citationCount":"0","resultStr":"{\"title\":\"Trends in the Prevalence and Development of Alzheimer's Disease Among the Elderly Chinese Population: A Systematic Review.\",\"authors\":\"Gui-Zhi Han, Zhao-Hui Liang, Li-Yan Guo, Miao-Miao Liu\",\"doi\":\"10.31083/RN36394\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>Dementia is a major global health challenge, with Alzheimer's disease (AD) being the most common cause.In China, due to its large and aging population, AD poses a significant threat. Although systematic reviews on the prevalence of dementia in the Chinese population exist, relatively few have specifically targeted AD. This study aimed to analyze the prevalence of AD among the population aged 60 years and older in China from 2014 to 2024.</p><p><strong>Methods: </strong>A literature search on the prevalence of AD in China was conducted. A meta-analysis was performed using Stata version 16.0. The <i>I</i><sup>2</sup> was used to assess heterogeneity. The random-effects model was used to calculate the pooled effect size. Subgroup analyses were conducted based on different characteristics. Meta-regression was used to explore the sources of heterogeneity and identify the factors that significantly affect the effect size. Funnel plots and Egger's test were utilized to evaluate publication bias.</p><p><strong>Results: </strong>A total of 23 studies were included, with a total sample size of 307,415, including 13,662 patients with AD. The results of the meta-analysis showed that the prevalence of AD among the elderly Chinese population was 5.4% (95% CI: 4.7%-6.2%). 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引用次数: 0
摘要
导语:痴呆症是一项重大的全球健康挑战,阿尔茨海默病(AD)是最常见的病因。在中国,由于人口众多和老龄化,AD构成了重大威胁。虽然有关于中国人群中痴呆患病率的系统综述,但专门针对AD的综述相对较少。本研究旨在分析2014 - 2024年中国60岁及以上人群中AD的患病率。方法:对中国AD患病率进行文献检索。meta分析采用Stata version 16.0进行。I2用于评估异质性。采用随机效应模型计算合并效应大小。根据不同的特征进行亚组分析。meta回归用于探索异质性的来源,并确定显著影响效应大小的因素。采用漏斗图和Egger检验评价发表偏倚。结果:共纳入23项研究,总样本量307,415例,其中13662例AD患者。meta分析结果显示,中国老年人群的AD患病率为5.4% (95% CI: 4.7%-6.2%)。meta回归结果显示,女性、高龄、低文化程度、农村居住、地理区域等因素是影响AD患病率的主要因素。结论:在过去十年中,中国60岁以上人群的AD患病率约为5.4%,这是中国的一个主要公共卫生问题。
Trends in the Prevalence and Development of Alzheimer's Disease Among the Elderly Chinese Population: A Systematic Review.
Introduction: Dementia is a major global health challenge, with Alzheimer's disease (AD) being the most common cause.In China, due to its large and aging population, AD poses a significant threat. Although systematic reviews on the prevalence of dementia in the Chinese population exist, relatively few have specifically targeted AD. This study aimed to analyze the prevalence of AD among the population aged 60 years and older in China from 2014 to 2024.
Methods: A literature search on the prevalence of AD in China was conducted. A meta-analysis was performed using Stata version 16.0. The I2 was used to assess heterogeneity. The random-effects model was used to calculate the pooled effect size. Subgroup analyses were conducted based on different characteristics. Meta-regression was used to explore the sources of heterogeneity and identify the factors that significantly affect the effect size. Funnel plots and Egger's test were utilized to evaluate publication bias.
Results: A total of 23 studies were included, with a total sample size of 307,415, including 13,662 patients with AD. The results of the meta-analysis showed that the prevalence of AD among the elderly Chinese population was 5.4% (95% CI: 4.7%-6.2%). The results of the meta-regression indicated that factors such as female sex, advanced age, low educational level, rural residence, and geographical region are the main factors influencing the prevalence of AD.
Conclusion: In the past decade, the prevalence of AD among people over 60 years of age in China was approximately 5.4%, which is a major public health problem for China.