Evidence map›Paper›PMID 39789427›Full record

ArticleBMC geriatrics2025

The influencing factors of cognitive impairment in elderly individuals in Chengdu city: a cross-sectional study based on AD8.

Xi Ruan, Hongyi Li, Ziqi Wang, Yu Wang, Yamei Nie, Yan Li, Yuanjing Li, Qin Fan, Baiwei Ni, Yinxue Huang and 4 more

Abstract read
In one paragraph

Article in BMC geriatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. 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

14 authors.

Xi RuanUnit 4-Department of Geriatric Medicine, the Fourth People's Hospital of Chengdu, Chengdu City, China.
Hongyi LiUnit 4-Department of Geriatric Medicine, the Fourth People's Hospital of Chengdu, Chengdu City, China.
Ziqi WangUnit 4-Department of Geriatric Medicine, the Fourth People's Hospital of Chengdu, Chengdu City, China.
Yu WangUnit 4-Department of Geriatric Medicine, the Fourth People's Hospital of Chengdu, Chengdu City, China.
Yamei NieDepartment of Public Health, the Fourth People's Hospital of Chengdu, Chengdu City, China.
Yan LiUnit 4-Department of Geriatric Medicine, the Fourth People's Hospital of Chengdu, Chengdu City, China.
Yuanjing LiUnit 4-Department of Geriatric Medicine, the Fourth People's Hospital of Chengdu, Chengdu City, China.
Qin FanUnit 4-Department of Geriatric Medicine, the Fourth People's Hospital of Chengdu, Chengdu City, China.
Baiwei NiUnit 4-Department of Geriatric Medicine, the Fourth People's Hospital of Chengdu, Chengdu City, China.
Yinxue HuangUnit 4-Department of Geriatric Medicine, the Fourth People's Hospital of Chengdu, Chengdu City, China.
Xuan HongUnit 4-Department of Geriatric Medicine, the Fourth People's Hospital of Chengdu, Chengdu City, China.
Ting SunUnit 4-Department of Geriatric Medicine, the Fourth People's Hospital of Chengdu, Chengdu City, China.
Yuan LuoUnit 4-Department of Geriatric Medicine, the Fourth People's Hospital of Chengdu, Chengdu City, China.
Shoukang ZouUnit 4-Department of Geriatric Medicine, the Fourth People's Hospital of Chengdu, Chengdu City, China. 464934211@qq.com.

Funding

the MOST 2030 Brain Project Grant No.2022ZD0208500
6 · The paper itself

Abstract

backgroundWith the aging of society, cognitive impairment in elderly people is becoming increasingly common and has caused major public health problems. The screening of cognitive impairment in elderly people and its related influencing factors can aid in the development of relevant intervention and improvement strategies.

methodsIn this study, stratified random cluster sampling was used to conduct a cross-sectional survey of elderly individuals aged 65 years in Chengdu, Sichuan Province, through an electronic questionnaire from November 2022 to November 2023. Descriptive analysis and logistic regression analysis were used to investigate cognitive impairment and its relevant influencing factors.

resultsAmong the 16,609 elderly people, 7524 (45.3%) were males and 9085 (54.7%) were females, with an average age of 73.6 ± 6.5 years (age range 65-101 years). The average years of education was 5.9 ± 6.2 years, and the proportion of individuals with cognitive impairment was 13.1%. With increasing age, the risk of cognitive impairment increased significantly. The risk factors for cognitive impairment in elderly individuals included advanced age, hypertension, heart disease, diabetes, cerebrovascular disease, depressive symptoms, and anxiety symptoms, while the protective factors included higher education level, married status, and greater life satisfaction.

conclusionCognitive impairment in elderly individuals in Chengdu is serious. We can intervene in and improve cognitive impairment in elderly people by controlling blood pressure and blood sugar, treating depressive and anxiety symptoms and developing community colleges for elderly people and increasing satisfaction with life.

Indexed as

Cognitive DysfunctionAgedAged, 80 and overChinaCross-Sectional StudiesFemaleHumansMaleRisk FactorsSurveys and QuestionnairesChengdu cityCognitive impairmentElderly peopleInfluencing factors

Identifiers

PMID39789427
PMCPMC11715083

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.