Eridemiological Characteristics And Prediction Of Alzheimer’s Disease Prevalence Based On Meta Analysis

Alzheimer’s disease(AD)is currently the most common type of Alzheimer’s dis-ease,which occurs in old age and early age and it is a type of central nervous sys-tem characterized by progressive cognitive dysfunction and behavioral impairment De-generative lesions.With the acceleration of the aging population,the prevalence of Alzheimer’s disease is increasing year by year,bringing a huge economic burden to families and society,and has become a field of epidemiological research in China and the world.One of the key issues.However,the reports of the prevalence of Alzheimer’s disease in different provinces and cities in China are quite different and their epidemi-ological characteristics are not yet fully reportedIn order to discuss the prevalence of Alzheimer’s disease in China’s mainland from 1990 to 2018 and reveal its epidemiological characteristics and changing trends,provid-ing evidence-based medical evidence for the prevention and treatment of Alzheimer’s disease in China.I Collected 89 articles,involving 13 provincial surveys and 76 mu-nicipal surveys.The documents were screened according to the standard process of inclusion and exclusion of documents,and then included the literature conducted a Meta-analysis to explore the three distribution characteristics and development trends of the prevalence of Alzheimer’s disease of 55 years and over in the mainland of China in the past 30 years.The heterogeneity among the literature is large,divided by time,location,and its prevalence The risk factors and other subgroup analysis.The results show that the prevalence of Alzheimer’s disease in China has increased from 1.083%in 1990 to 5.936%in 2018,showing a gradual increase,and with the increase of age,the growth rate of the prevalence rate Faster,the prevalence in the west is slightly higher than that in the east,and the prevalence in rural areas is also higher than that in cities.The results of analysis of risk factors for Alzheimer’s disease show that smoking history,diabetes are all prevalent Risk of illness.But level of education may not be relevant in patients with Alzheimer’s disease.According to the results obtained from the previous Meta analysis,this paper es-tablished the ARIMA(1,0,1)model and the GM(1,1)model,which better fits the pre-viously merged prevalence sequence from 1990 to 2018.The prevalence of Alzheimer’s disease in the mainland of China is predicted from 2019 to 2023.The ARIMA(1,0,1)model has a better fitting effect and the prediction is more accurate.