Evidence map›Paper›PMID 38628263›Full record

ArticleFrontiers in psychiatry2024

Assessing cognitive impairment in home-dwelling Chinese elders aged 80+: a detailed survey of 13,000 participants focusing on demographic factors, social engagement, and disease prevalence.

Sensen Bian, Xiaobing Tian, Fanli Meng, Chunjie Xu, Yan Zhao, Qian Gao, Chengzhi Bian

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Social connectedness and cognitive outcomes in rural middle- to older-age adults.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Review
  3. Article
  4. Article
  5. 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

7 authors at 3 institutions in 1 country.

Sensen BianDepartment of Public Health, Hangzhou Normal University, Hangzhou, Zhejiang, China.
Xiaobing TianNanjing Zhiyuan Healthcare Training Center, Jiangsu SuYi Health Care Research Institute, Nanjing, Jiangsu, China.
Fanli MengHealth management center, The First Affiliated Hospital of Hainan Medical University, Haiko, Hainan, China.
Chunjie XuNanjing Zhiyuan Healthcare Training Center, Jiangsu SuYi Health Care Research Institute, Nanjing, Jiangsu, China.
Yan ZhaoNanjing Zhiyuan Healthcare Training Center, Jiangsu SuYi Health Care Research Institute, Nanjing, Jiangsu, China.
Qian GaoNanjing Zhiyuan Healthcare Training Center, Jiangsu SuYi Health Care Research Institute, Nanjing, Jiangsu, China.
Chengzhi BianNanjing Zhiyuan Healthcare Training Center, Jiangsu SuYi Health Care Research Institute, Nanjing, Jiangsu, China.
Nanjing Health and Health Commission · CNHainan Medical University · CNHangzhou Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Cognitive Impairment (CI) in the elderly, encompassing conditions ranging from Mild Cognitive Impairment (MCI) to dementia, represents a growing public health concern globally. This study aims to investigate the prevalence and correlates of CI among individuals aged 80 and above. Methods: The study conducts 13,027 elderly individual's door-to-door surveys, followed by the cross-tabulation of analysis data, logistic regression analysis, and health condition assessments to examine various determinants of CI. Results: The current study's key findings demonstrate sub-statical correlations between CI and various factors, including educational attainment, marital status, and gender. Pronounced differences are evident between urban and rural demographics. Furthermore, aspects of social engagement, notably communication proficiency and sensory capabilities, exhibit a strong association with CI. Logistic regression analysis highlights that residing in rural areas (Odds Ratio [OR] = 0.637) and being female (OR = 0.71) are linked to a decreased risk of CI. In contrast, behavioral and health-related variables present a complex picture. Specifically, aggressive behavior (Adjusted OR = 1.881) and symptoms of depression (Adjusted OR = 0.549) contrast with conditions such as asthma (OR= 2.857) and cerebral infarction (OR=1.348), which elevate the risk of CI. Intriguingly, hyperlipidemia (OR= 0.671) appears to confer a protective effect against CI. Conclusion: The study highlights the complexity of factors affecting CI in the elderly, advocating for a comprehensive approach to understanding and managing cognitive health.

Indexed as

cognition functiondiabetesmini-cogsocial interactionsocio-economic

Identifiers

PMID38628263
PMCPMC11019016
OpenAlexW4393475649

What OpenQuestion 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 OpenQuestion graph.