Prevalence of mild cognitive impairment in China: a meta-analysis of studies in 2001-2015

Abstract

Objective To understand the prevalence of mild cognitive impairment(MCI) and to compare the geographical distribution for the early prevention and treatment of disease, and to provide the reference basis for the establishment of related policies. Method Systematical search method and inclusion criterion were made and relative English and Chinese database such as China biology medicine disc (CBMdisc) , China national knowledge infrastructure (CNKI),VIP database (VIP), WanFang, Pubmed, excerpta medica database (EMBASE), the cochrane library were searched. Tailored quality evaluation standard of epidemiological research was used to evaluate study quality for each included study. I2 was used to measure the heterogeneity between studies, and relevant model of meta-analysis and subgroup analysis were carried out to merger and analyze data. Subgroup analysis was used to explore heterogeneity. Results Overall, in the present 40 relevant articles were included. The quality assessment was good (median score was 15). Meta-analyses were conducted for 40 cross-sectional studies investigating the prevalence of MCI, the pooled prevalence of MCI was 14.5% (95% CI 12.8%-16.2%). Subgroup results showed that in recent years, the prevalence rate has been gradually increased over time. There was a higher prevalence in those who were older. The prevalence rate of female were higher than that of male(16.0%(95%CI 14.2%-17.9%) vs. 12.6% (95% CI 10.8%-14.4%)), rural were higher than that of urban (18.2% (95% CI 14.2%-22.1%) vs. 13.6% (95% CI 11.9%-15.3%)). Prevalence was decreased while cultural level rising, and that of single (including single, divorce or live alone) elderly was higher than married people. Conclusion MCI in China have a high prevalence. Over the past decade, the prevalence and incidence of MCI were significantly affected by age, gender, education level, marital status, place of residence and other factors. Key words: Cognition disorders; Prevalence; Meta-analysis; China