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This page is alzhub.org's plain-English summary of a published study, not the paper itself. It is generated from the record we hold for this study, sourced and linked below — check the original for the full text and methods.

✓ Peer-reviewed alzhub usefulness score 60 out of 100. Risk factors

Topic: Risk, prevention and care in population studies

The weighted prevalence of dementia at provincial level in China in 2018 ranged from 2.62% (95%BCI: 1.70%, 3.91%) to 13.53% (95%BCI: 8.82%, 20.93%). High dementia prevalence was concentrated in North China, with a prominent high-high cluster, while provinces of low prevalence were concentrated on East and South China, characterized by a low-low cluster. Ordered by the median estimation of prevalence, the top 10% of provinces, include Xinjiang, Jilin, and Beijing. Meanwhile, Fujian, Zhejiang, and Guangdong rank among the last. The association between dementia prevalence and drinking, smoking, social isolation, physical inactivity, hearing impairment, hypertension, and diabetes exhibits provincial variation. Our study identifies a geospatial disparity in dementia prevalence and risk factor effects across China's provinces, with high-high and low-low clusters in some northern and southern provinces, respectively. The findings emphasize the need for targeted strategies, such as addressing hypertension and hearing impairment, in specific regions for more effective dementia prevention and treatment. Funding: National Science Foundation of China/the Economic and Social Research Council, UK Research and Innovation joint call: Understanding and Addressing Health and Social Challenges for Ageing in the UK and China. UK-China Health And Social Challenges Ageing Project (UKCHASCAP): present and future burden of dementia, and policy responses (grant number 72061137003, ES/T014377/1).

Cite this study APA, Vancouver, BibTeX · download .bib or .ris

APA 7th

Liu, Y., Gao, X., Zhang, Y., Zeng, M., Liu, Y., Wu, Y., et al. (2024). Geographical variation in dementia prevalence across China: a geospatial analysis. The Lancet Regional Health - Western Pacific. https://doi.org/10.1016/j.lanwpc.2024.101117

Vancouver

Liu Y, Gao X, Zhang Y, Zeng M, Liu Y, Wu Y, et al. Geographical variation in dementia prevalence across China: a geospatial analysis. The Lancet Regional Health - Western Pacific. 2024. doi:10.1016/j.lanwpc.2024.101117. PMID: 38974661.

BibTeX

@article{liu2024-38974661,
  author  = {Liu, Yixuan and Gao, Xinyuan and Zhang, Yongjin and Zeng, Minrui and Liu, Yuyang and Wu, Yanjuan and Hu, Weihua and Lai, Ying‐Si and others},
  title   = {{Geographical variation in dementia prevalence across China: a geospatial analysis}},
  journal = {The Lancet Regional Health - Western Pacific},
  year    = {2024},
  doi     = {10.1016/j.lanwpc.2024.101117},
  pmid    = {38974661},
  url     = {https://doi.org/10.1016/j.lanwpc.2024.101117}
}

Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. The record's author list ends in “et al.”, so not every author is named. Check the citation against the original before you use it.

Key findings

Why it matters

This study found that dementia prevalence varied across China's provinces, with high rates concentrated in the north, and that the link between dementia and factors such as hypertension, hearing impairment, drinking, smoking, social isolation, physical inactivity and diabetes also varied by province. It suggests that targeting hypertension and hearing impairment in specific regions could help prevent dementia, but it does not test any treatment or cure.

Study details

How this study scored 60/100
How this study's score is builtJournal tier 7 of 10; Journal's citation record 0 of 4; Study design 7 of 12; Strength of evidence 3 of 5; Peer-review validation 10 of 10; How recent 4 of 5; Sample size 4 of 4; Effect reported 2 of 3; Studied in people 3 of 3; Randomised / blinded 0 of 2; Times cited 3 of 7; Citations per year 2 of 5; Impact for its field and year 3 of 6; Cited by studies here 2 of 6; Still being cited 2 of 4; Senior author's track record 2 of 4; Institution's track record 1 of 3; Multi-centre collaboration 1 of 3; Indexed in PubMed 2 of 2; Free to read 2 of 2. Total 60 of 100.60 of 100 points earned40 not earned

Published in a peer-reviewed journal, and it is a longitudinal study following the same people over time. Scored zero for randomised / blinded because the record does not state it.

ComponentPointsWhy
Journal tier 7 / 10 Tier 3 — peer-reviewed journal (The Lancet Regional Health - Western Pacific)
Journal's citation record 0 / 4 The Lancet Regional Health - Western Pacific: journal h-index 66 (OpenAlex, 2026-10-29)
Study design 7 / 12 A longitudinal study following the same people over time
Strength of evidence 3 / 5 Rated “moderate” in our summary
Peer-review validation 10 / 10 Peer-reviewed. Published as an article in a named peer-reviewed journal.
How recent 4 / 5 2024 — within 3 year(s) of the newest study here
Sample size 4 / 4 17,176 participants
Effect reported 2 / 3 Effect reported as a number, without an interval or test
Studied in people 3 / 3 Studied in people (participant count stated)
Randomised / blinded 0 / 2 No randomisation or blinding stated — scores zero (not stated in the record — scored 0)
Times cited 3 / 7 Cited 21 times (OpenAlex, 2026-10-10)
Citations per year 2 / 5 5.2 citations a year over 4 year(s) since 2024
Impact for its field and year 3 / 6 Cited 5.7× the average for papers of its field and year (OpenAlex FWCI)
Cited by studies here 2 / 6 Cited by 6 other studies in this library
Still being cited 2 / 4 Cited 21 times in 2024–2026 (2026 still in progress; OpenAlex)
Senior author's track record 2 / 4 Last-listed author Jing Liao: h-index 24 (OpenAlex, whole career)
Institution's track record 1 / 3 Peking University: institution h-index 1,098 (OpenAlex)
Multi-centre collaboration 1 / 3 OpenAlex lists 2 institution(s) in 1 country
Indexed in PubMed 2 / 2 Indexed in PubMed (PMID 38974661)
Free to read 2 / 2 Free to read
Total 60 / 100 —

What each of these 20 components measures, and what this score is not →

Read the original

Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).

Studies this one cites

Referenced by this study and also in the alzhub library, so you can read them here.

Later studies that cite this one

6 studies in the alzhub library list this one in their references.

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