Evidence map›Paper›PMID 40713259›Full record

ArticleThe journal of prevention of Alzheimer's disease2025

Comparative analysis of the burden of young-onset and late-onset dementia in China from 1990 to 2021: A study based on GBD 2021 data.

Ke-Qiang Lu, Ke-Jia Lu, Zheng-Jun Ji

Abstract readComparative Study
In one paragraph

Article in The journal of prevention of Alzheimer's disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Ke-Qiang LuInstitute of Liver Diseases, Shuguang Clinical Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, PR China.
Ke-Jia LuKo Chi Ming Centre for Parkinson's Disease Research (CPDR), School of Chinese Medicine, Hong Kong Baptist University, Hong Kong SAR, PR China; Institute for Research and Continuing Education, Hong Kong Baptist University, Shenzhen, PR China.
Zheng-Jun JiDepartment of Neurology, Xuzhou Cancer Hospital, Xuzhou, PR China. Electronic address: jizj2012@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMost epidemiological studies on dementia in China have focused on the elderly population, with a lack of systematic comparisons between the burden of young-onset dementia (YOD) and late-onset dementia (LOD).

methodsBased on data from the Global Burden of Disease (GBD) study, this research systematically evaluated changes in the burden of YOD and LOD in China over different time periods. The analysis employed average annual percentage change (AAPC), Bayesian age-period-cohort (BAPC) modeling, decomposition analysis, risk factor attribution analysis, health inequality analysis, and frontier analysis.

resultsAAPC analysis showed that the growth rate of YOD has significantly outpaced that of LOD since 2012. Forecasting results indicated that the age-standardized rates for both YOD and LOD are expected to continue rising in the future. Decomposition analysis revealed that between 1990 and 2021, the main drivers of the increasing YOD burden shifted from population growth to epidemiological changes and population aging, whereas population growth remained the dominant driver for LOD. Risk factor analysis indicated that the impact of high BMI on both YOD and LOD has become increasingly pronounced. Health inequality and frontier analyses suggested that, although disparities in YOD and LOD burden across different SDI regions were not significant, there remains substantial room for improvement in managing both conditions in China.

conclusionIn recent years, YOD has exhibited a more rapid increase compared to LOD, with its driving forces gradually shifting from population-related factors to epidemiological transitions. This highlights the need to strengthen identification and intervention strategies targeting younger and middle-aged populations. Tobacco use, high fasting plasma glucose, and high BMI are key modifiable risk factors shared by both YOD and LOD, with particular attention needed on the sustained impact of high BMI. Although international disparities in health inequality are not pronounced, China still holds considerable potential for improvement in the prevention and control of both YOD and LOD. Future interventions should be more forward-looking, systematic, and tailored to specific population groups.

Indexed as

Cost of IllnessDementiaAgedAge of OnsetBayes TheoremChinaFemaleGlobal Burden of DiseaseHealth Status DisparitiesHumansMaleMiddle AgedRisk FactorsDisease burdenLate-onset dementiaTemporal trendYoung-onset dementia

Identifiers

PMID40713259
PMCPMC12501349

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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.