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Epidemiology of dementia in China, 2010–2020: a systematic review and meta-analysis
File(s)
healthcare-12-00334-v2.pdf (4.99 MB)
Published version
Author(s)
Yin, Yueheng
Tam, Hon Lon
Quint, Jennifer
Chen, Mengyun
Ding, Rong
Type
Journal Article
Abstract
Background: Dementia has become one of the leading causes of death across the world. Aims: The aim of this study was to investigate the incidence, prevalence, and mortality of dementia in China between 2010 and 2020, and to investigate any geographical, age, and sex differences in the prevalence and incidence of dementia. Methods: Five databases were searched. The Joanna Briggs Institute (JBI) critical appraisal tool was used to assess the quality of the included studies. A random-effects meta-analysis was performed to estimate the pooled prevalence of dementia. Subgroup analysis was based on the type of dementia. The incidence and mortality of dementia were synthesized qualitatively. Results: A total of 19 studies were included. The meta-analysis showed that the prevalence of dementia was 6% (95%CI 5%, 8%), the prevalence of Alzheimer’s disease (AD) was 5% (95%CI 4%, 6%), and the prevalence of vascular dementia (VaD) was 1% (95%CI 0%, 2%). The subgroup analysis showed that the prevalence rates of dementia in rural (6%, 95%CI 4%, 8%) and urban areas were similar (6%, 95%CI 4%, 8%). Deaths due to dementia increased over time. Conclusion: The prevalence, incidence, and mortality of dementia increased with age and over time. Applying consistent criteria to the diagnosis of cognitive impairment and dementia is necessary to help with disease monitoring. Promoting dementia knowledge and awareness at the community level is necessary.
Date Issued
2024-01-28
Date Acceptance
2024-01-26
Citation
Healthcare, 2024, 12 (3)
URI
DOI
ISSN
2227-9032
Publisher
Longwoods Publishing
Journal / Book Title
Healthcare
Volume
12
Issue
3
Copyright Statement
© 2024 by the authors.
Licensee MDPI, Basel, Switzerland.
This article is an open access article
distributed under the terms and
conditions of the Creative Commons
Attribution (CC BY) license (https://
creativecommons.org/licenses/by/
4.0/).
License URL
Publication Status
Published
Article Number
334