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Spatial Distribution and Clustering Patterns of Cognitive Impairment Among the Older Population — 31 PLADs, China, 2024
Ying Liu, Zhang Yushan, Ji Shen, Zhang Chi, Sang Yingchen, Wang Youjiao, Houguang Zhou, Lei Wang et al.. China CDC Weekly, 2025-01-01
Topic: Risk, prevention and care in population studies
What is already known about this topic?: As the Chinese population ages, the prevalence of cognitive impairment among older adults continues to increase. Cognitive impairment severely restricts daily activities and creates significant social and economic burdens. What is added by this report?: Using nationally representative data from the China Survey of Aging and Health (CAHS), this study found that the weighted prevalence of subjective cognitive decline and mild cognitive impairment among individuals aged 65 years and older in China was 38.8% and 28.4% in 2024, respectively, and both showed spatial clustering. What are the implications for public health practice?: Through the analysis of spatial distribution patterns and identification of high-risk regions of cognitive impairment, this study provides critical information for developing targeted regional prevention and control interventions.
Key findings
- Cognitive impairment severely restricts daily activities and creates significant social and economic burdens.
Why it matters
Using nationally representative data from China, this report found that subjective cognitive decline and mild cognitive impairment among people aged 65 and older were common and clustered geographically. It provides information for targeting regional prevention and control efforts but does not test any treatment.
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Study details
- Effect size38.8%; 28.4%
- Evidence strengthLow
How this study scored 37/100
Published in a peer-reviewed journal. Scored zero for study design, sample size, studied in people and randomised / blinded because the record does not state it.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (China CDC Weekly) |
| Journal's citation record | 0 / 4 | China CDC Weekly: journal h-index 39 (OpenAlex, 2026-10-29) |
| Study design | 0 / 12 | No study design recorded — scores zero, not guessed (not stated in the record — scored 0) |
| Strength of evidence | 1 / 5 | Rated “low” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 4 / 5 | 2025 — within 3 year(s) of the newest study here |
| Sample size | 0 / 4 | Participant count not stated — scores zero (not stated in the record — scored 0) |
| Effect reported | 2 / 3 | Effect reported as a number, without an interval or test |
| Studied in people | 0 / 3 | Not stated whether this was studied in people — scores zero (not stated in the record — scored 0) |
| Randomised / blinded | 0 / 2 | No randomisation or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | 1 / 7 | Cited 4 times (OpenAlex, 2026-10-10) |
| Citations per year | 1 / 5 | 1.3 citations a year over 3 year(s) since 2025 |
| Impact for its field and year | 2 / 6 | Cited 2.5× the average for papers of its field and year (OpenAlex FWCI) |
| Cited by studies here | 0 / 6 | No other study in this library cites it |
| Still being cited | 1 / 4 | Cited 4 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 1 / 4 | Last-listed author Hong Shi: h-index 9 (OpenAlex, whole career) |
| Institution's track record | 1 / 3 | Shanghai Jiao Tong University: institution h-index 975 (OpenAlex) |
| Multi-centre collaboration | 2 / 3 | OpenAlex lists 7 institution(s) in 1 country |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 41098807) |
| Free to read | 2 / 2 | Free to read |
| Total | 37 / 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).
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
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.
APA 7th
Liu, Y., Yushan, Z., Shen, J., Chi, Z., Yingchen, S., Youjiao, W., et al. (2025). Spatial Distribution and Clustering Patterns of Cognitive Impairment Among the Older Population — 31 PLADs, China, 2024. China CDC Weekly. https://doi.org/10.46234/ccdcw2025.219
Vancouver
Liu Y, Yushan Z, Shen J, Chi Z, Yingchen S, Youjiao W, et al. Spatial Distribution and Clustering Patterns of Cognitive Impairment Among the Older Population — 31 PLADs, China, 2024. China CDC Weekly. 2025. doi:10.46234/ccdcw2025.219. PMID: 41098807.
BibTeX
@article{liu2025-41098807,
author = {Liu, Ying and Yushan, Zhang and Shen, Ji and Chi, Zhang and Yingchen, Sang and Youjiao, Wang and Zhou, Houguang and Wang, Lei and others},
title = {{Spatial Distribution and Clustering Patterns of Cognitive Impairment Among the Older Population — 31 PLADs, China, 2024}},
journal = {China CDC Weekly},
year = {2025},
doi = {10.46234/ccdcw2025.219},
pmid = {41098807},
url = {https://doi.org/10.46234/ccdcw2025.219}
}
Studies this one cites
Referenced by this study and also in the alzhub library, so you can read them here.