ArticleFrontiers in public health2023
Female perspective: the burden of Alzheimer's disease and other dementias in China from 1990 to 2019 and prediction of their prevalence up to 2044.
Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Mortality from Alzheimer's Disease and Other Dementias in Ecuador during the Period 2012-2022.Clinical practice and epidemiology in mental health : CP & EMH · 2025Article
- Global, regional, and national burden of Alzheimer's disease and other dementias from 1990 to 2021: findings from the Global Burden of Disease Study 2021.Frontiers in aging neuroscience · 2025Article
- A study on the factors influencing the vulnerability of women of childbearing age to health poverty in rural western China.Scientific reports · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Dementia is more prevalent in women than in men across the world, and sex differences are reflected in the burden of dementia borne by women and men. However, a few studies have specifically analyzed the disease burden of dementia in Chinese women. Objective: This article aims to raise awareness of Chinese females with dementia (CFWD), outline an effective response to future trends in China from a female perspective, and provide a reference for the scientific formulation of dementia prevention and treatment policies in China. Methods: In this article, epidemiological data on dementia in Chinese women were obtained from the Global Burden of Disease Study 2019, and three risk factors, namely, smoking, a high body mass index, and a high fasting plasma glucose, were selected for the analysis. This article also predicted the burden of dementia in Chinese women in the next 25 years. Results: The prevalence of dementia, mortality, and disability-adjusted life year rates increased with age in CFWD in 2019. All three risk factors provided by the Global Burden of Disease Study 2019 showed positive correlations for the effect of disability-adjusted life years (DALYs) rates on CFWD. Among them, a high body mass index had the greatest effect (8%) and smoking had the smallest effect (6.4%). Over the next 25 years, the number of CFWD and its prevalence are expected to be on the rise, while mortality is expected to remain relatively stable and decline slightly, but deaths from dementia will continue to increase. Conclusions: The situation arising due to the spread of dementia among Chinese women in the future is going to become a serious issue. To reduce the burden of dementia, the Chinese government should prioritize its prevention and treatment. A multi-dimensional, long-term care system involving families, community, and hospitals should also be established and supported.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.