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51/100

✓ Peer-reviewed alzhub usefulness score 51 out of 100. Risk factors

Topic: Risk, prevention and care in population studies

The prevalence of cognitive impairment, MCI, and dementia among participants aged 60 years and older were 21.48% (95% CI, 19.90-23.10), 15.70% (95% CI, 14.30-17.10), and 5.77 (95% CI, 4.90-6.70), respectively. And residents in villagers were more likely to have cognitive impairment than in urban communities (p < 0.001). Age growth and education level were independent influencing factors for cognitive impairment in all populations (p < 0.001). For lifestyles factors, both smoking and drinking reduced the risk of cognitive impairment (p < 0.05), but when further quantified, the link disappeared. Moreover, having cerebrovascular disease and severe vision impairment were risk factors (p < 0.05). A representative prevalence of cognitive impairment, MCI, and dementia was found in the elderly Han Chinese population in Southern China. And we further explored the role of known risk factors, particularly in physical activity, smoking, and alcohol consumption.

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

APA 7th

Xu, T., Bu, G., Li, Y., Zhou, L., Yang, Q., Zhu, Y. O., et al. (2023). The prevalence and risk factors study of cognitive impairment: Analysis of the elderly population of Han nationality in Hunan province, China. CNS Neuroscience & Therapeutics. https://doi.org/10.1111/cns.14478

Vancouver

Xu T, Bu G, Li Y, Zhou L, Yang Q, Zhu YO, et al. The prevalence and risk factors study of cognitive impairment: Analysis of the elderly population of Han nationality in Hunan province, China. CNS Neuroscience & Therapeutics. 2023. doi:10.1111/cns.14478. PMID: 37736696.

BibTeX

@article{xu2023-37736696,
  author  = {Xu, Tianyan and Bu, Guiwen and Li, Yuan and Zhou, Lu and Yang, Qijie and Zhu, Yuan O. and Zhang, Sizhe and Liu, Qianqian and others},
  title   = {{The prevalence and risk factors study of cognitive impairment: Analysis of the elderly population of Han nationality in Hunan province, China}},
  journal = {CNS Neuroscience \& Therapeutics},
  year    = {2023},
  doi     = {10.1111/cns.14478},
  pmid    = {37736696},
  url     = {https://doi.org/10.1111/cns.14478}
}

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Key findings

The prevalence of cognitive impairment, MCI, and dementia among participants aged 60 years and older were 21.48% (95% CI, 19.90-23.10), 15.70% (95% CI, 14.30-17.10), and 5.77 (95% CI, 4.90-6.70), respectively.
And residents in villagers were more likely to have cognitive impairment than in urban communities (p < 0.001).
Age growth and education level were independent influencing factors for cognitive impairment in all populations (p < 0.001).
For lifestyles factors, both smoking and drinking reduced the risk of cognitive impairment (p < 0.05), but when further quantified, the link disappeared.
Moreover, having cerebrovascular disease and severe vision impairment were risk factors (p < 0.05).

Why it matters

This study found that age and education were independently associated with cognitive impairment in older Han Chinese adults, and that some lifestyle factors showed links that disappeared when quantified. It is a cross-sectional study and cannot show cause or effect, so it does not provide evidence for treating, curing, or preventing Alzheimer's disease.

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Study details

Study designcross-sectional
Participants3,233
Effect size21.48%; 15.70%
Evidence strengthLow

How this study scored 51/100

Published in a peer-reviewed journal, and it is a snapshot of people at one point in time. Scored zero for randomised / blinded because the record does not state it.

Component	Points	Why
Journal tier	7 / 10	Tier 3 — peer-reviewed journal (CNS Neuroscience & Therapeutics)
Journal's citation record	1 / 4	CNS Neuroscience & Therapeutics: journal h-index 120 (OpenAlex, 2026-10-29)
Study design	4 / 12	A snapshot of people at one point in time
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	3 / 5	2023 — within 6 year(s) of the newest study here
Sample size	3 / 4	3,233 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 19 times (OpenAlex, 2026-10-10)
Citations per year	2 / 5	3.8 citations a year over 5 year(s) since 2023
Impact for its field and year	3 / 6	Cited 3.4× 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	2 / 4	Cited 18 times in 2024–2026 (2026 still in progress; OpenAlex)
Senior author's track record	2 / 4	Last-listed author Lu Hua Shen: h-index 49 (OpenAlex, whole career)
Institution's track record	0 / 3	Central South University: institution h-index 699 (OpenAlex)
Multi-centre collaboration	1 / 3	OpenAlex lists 2 institution(s) in 1 country
Indexed in PubMed	2 / 2	Indexed in PubMed (PMID 37736696)
Free to read	2 / 2	Free to read
Total	51 / 100	—

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