Evidence map›Paper›PMID 37736696›Full record

ArticleCNS neuroscience & therapeutics2024

The prevalence and risk factors study of cognitive impairment: Analysis of the elderly population of Han nationality in Hunan province, China.

Tianyan Xu, Guiwen Bu, Li Yuan, Lu Zhou, Qijie Yang, Yuan Zhu, Sizhe Zhang, Qianqian Liu, Ziyu Ouyang, Xuan Yang and 4 more

Open access · goldAbstract read
In one paragraph

Article in CNS neuroscience & therapeutics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 3 pooled it
3.8field-weighted citation impact, top 6% of its field
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

14 citing papers in PubMed, 3 syntheses or guidelines pooled it, 17 citations in OpenAlex.

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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

14 authors at 2 institutions in 1 country.

Tianyan XuDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, China.
Guiwen BuDepartment of Neurology, Liuyang Jili Hospital, Changsha, China.
Li YuanDepartment of Neurology, Liuyang Jili Hospital, Changsha, China.
Lu ZhouDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, China.
Qijie YangDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, China.
Yuan ZhuDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, China.
Sizhe ZhangDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, China.
Qianqian LiuDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, China.
Ziyu OuyangDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, China.
Xuan YangDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, China.
Beisha TangDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, China.
Bin JiaoDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, China.
Yuzhang BeiDepartment of Neurology, Liuyang Jili Hospital, Changsha, China.
Lu ShenDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, China.ORCID 0000-0002-3393-8578
Central South University · CNLiuyang City Maternal and Child Health Hospital · CN

Funding

National Key Research and Development Program of ChinaNational Natural Science Foundation of ChinaSTI2030-Major Projects
6 · The paper itself

Abstract

objectiveA large number of studies have found that the prevalence of cognitive impairment varies in different regions. However, data on cognitive impairment in the Chinese population is still lacking. The goal of this study was to assess the prevalence of cognitive impairment among the elderly in a region of China and explore the associated risk factors.

methodsWe performed a population-based cross-sectional survey from April to June 2022. Residents come from three villages and six urban communities in the county-level city of Liuyang in southern China (N = 3233) and the coverage rate of our study population reached 73%. Participants were assessed with a series of clinical examinations and neuropsychological measures. A total of 2598 participants were selected after filtering out those under 60 years old or with incomplete data. Patients with cognitive impairment included those with mild cognitive impairment (MCI) or dementia who met standard diagnostic criteria.

resultsThe 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).

conclusionA 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.

Indexed as

Cognitive DysfunctionDementiaAgedChinaCross-Sectional StudiesEthnicityHumansMiddle AgedPrevalenceRisk Factors

Identifiers

PMID37736696
PMCPMC11017419
OpenAlexW4386944636

What Socratic holds

Textmetadata
LicenceCC BY
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.