Evidence map›Paper›PMID 41400107›Full record

ArticleDemography2025

The Present and Future Dementia Burden in China: Kinship-Based Projections and Global Comparisons.

Kai Feng, Xi Song, Hal Caswell

Abstract readComparative Study
In one paragraph

Article in Demography, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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.

Kai FengDepartment of Sociology and Graduate Group in Demography, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0002-1099-2352
Xi SongDepartment of Sociology and Graduate Group in Demography, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0003-3463-045X
Hal CaswellBiology Department, Woods Hole Oceanographic Institution, Woods Hole, MA, USA.ORCID 0000-0003-4394-6894

Funding

STATISTICAL DATA ENCLAVE COREP30AG012836 · NIA · UNIVERSITY OF PENNSYLVANIA · PI COE, NORMA B · 1999 to 2024
$14.0M
GRADUATE TRAINING IN DEMOGRAPHYT32HD007242 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI MICHEL GUILLOT · 1985 to 2026
$6.6M
Sci-Tech Core-Population Dynamics Research CenterP2CHD044964 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI EMILIO ALBERTO PARRADO · 2018 to 2026
$5.3M
NIA NIH HHS P30 AG012836NICHD NIH HHS P2C HD044964NICHD NIH HHS T32 HD007242
6 · The paper itself

Abstract

China has the largest number of patients with dementia in the world, and the rate of growth is expected to escalate further as the population ages. The majority of dementia patients rely on their families for care and assistance. Using demographic models of kinship, we provide quantitative estimates of the burden of dementia, from 1990 up to 2050, by illustrating the number of kin accessible to dementia patients, the dementia prevalence among kinship networks, and the dependency ratio of kin with dementia to working-age kin without dementia. We then compare the estimates of dementia burden across 194 countries and territories, accounting for historical trends in, and future projections of, mortality, fertility, and dementia prevalence. Our findings suggest that, unlike in other aging societies, China's aging crisis is exacerbated by the fact that, in addition to the alarming rise in the number of older adults in need of care, the number of potential family caregivers is also dropping at an unprecedented pace. The increase in dementia dependency ratio is expected to exceed the increases in most other countries across East Asia, Western Europe, and the United States. These findings have important implications for understanding the evolution of care networks for older adults in China over time and from a cross-country comparative perspective.

Indexed as

CaregiversCost of IllnessDementiaFamilyAdultAgedAged, 80 and overChinaFemaleForecastingHumansMaleMiddle AgedPrevalenceAgingChinaDementia caregivingKinshipMathematical demography

Identifiers

PMID41400107
PMCPMC12981236

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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 Socratic graph.