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Record W7116982736 · doi:10.1159/000549802

Diverging Global Burden, Risk Factors, and Temporal Trends of Early-Onset and Late-Onset Dementia: A Comprehensive Analysis of the Global Burden of Disease Study 2021

2025· article· en· W7116982736 on OpenAlexaboutno aff
Lifang Li, Tara S. R. Chen, Dongfeng HUANG

Bibliographic record

VenueNeuroepidemiology · 2025
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsnot available
Fundersnot available
KeywordsBurden of diseaseEpidemiologyDisease burdenDiseaseDementiaGlobal healthRisk factorHealth care

Abstract

fetched live from OpenAlex

INTRODUCTION: Early-onset dementia (EOD) and late-onset dementia (LOD) differ in etiology, clinical presentation, and societal impact. Characterizing their global burden and associated risk factors is essential for guiding targeted interventions and resource allocation. METHODS: We analyzed data from the Global Burden of Disease (GBD) 2021 study (1990-2021) to estimate incidence, mortality, and disability-adjusted life years (DALYs) for EOD (ages 40-64) and LOD (≥65 years) across 204 countries and territories. Age-standardized rates (ASRs) and estimated annual percentage changes (EAPCs) were calculated. Risk factors examined included smoking, high fasting plasma glucose (FPG), and high body mass index. Associations with the sociodemographic index (SDI) were assessed, and Bayesian age-period-cohort model was used to project trends to 2050. RESULTS: In 2021, global age-standardized incidence rates (ASIRs) were 63.58 per 100,000 for EOD and 1,173.19 per 100,000 for LOD. Corresponding age-standardized mortality rates (ASMRs) and age-standardized DALY (AS-DALY) rates were substantially higher for LOD. Point estimates for ASRs were consistently higher for females than for males across all metrics. From 1990 to 2021, the burden of EOD increased (ASIR EAPC = 0.13; ASMR EAPC = 0.08; AS-DALY EAPC = 0.08), while LOD trends remained largely stable. Regional variation was observed, with EOD burden highest in China, Canada, Brazil, and the USA and LOD in China, Germany, Italy, and Lebanon. Metabolic risks, particularly high FPG, were major contributors to LOD. SDI was positively correlated with LOD burden (r = 0.176; p < 0.001), indicating a weak but statistically significant association. Projections indicate that EOD cases will increase by 160% and LOD cases by 479% by 2050. CONCLUSIONS: The global dementia burden is rising, with distinct epidemiological patterns for EOD and LOD. Age- and region-specific risk factor profiles highlight the need for tailored prevention strategies, informed healthcare planning, and differentiated clinical management.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.062
Threshold uncertainty score0.124

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0040.006
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.024
GPT teacher head0.347
Teacher spread0.324 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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