Evidence map›Paper›PMID 40502732›Full record

ArticleInnovation in aging2025

Socioeconomic Disparities in Cognitive Impairment: The Role of Neighborhood Social Cohesion.

Yeonwoo Kim, Soeun Jang

Abstract read
In one paragraph

Article in Innovation in aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
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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

2 authors.

Yeonwoo KimDepartment of Kinesiology, University of Texas at Arlington, Arlington, Texas, USA.ORCID https://orcid.org/0000-0002-3334-2627
Soeun JangSchool of Social Work, University of Texas at Arlington, Arlington, Texas, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: Cognitive impairment is a significant public health challenge, particularly as the aging population continues to grow. Individuals from lower socioeconomic backgrounds are at greater risk for cognitive decline, contributing to persistent socioeconomic disparities. While research has predominantly focused on individual-level factors influencing cognitive health, the role of favorable residential environments in mitigating these disparities remains less studied. This study investigates the longitudinal association between time-variant neighborhood social cohesion and cognitive impairments over 6 years, and its moderating effect on the relationship between socioeconomic status and cognitive impairment, exploring its potential to reduce socioeconomic disparities in cognitive decline. Research Design and Methods: We analyzed data from the Health and Retirement Study collected in 2012, 2014, 2016, 2018, and 2020. Our sample included respondents aged 50 and older who were not cognitively impaired at baseline, allowing us to identify those who developed cognitive impairment after 2012 ( Results: Multilevel logistic regression models showed that higher levels of perceived neighborhood social cohesion were associated with a lower likelihood of cognitive impairment (OR = 0.96, 95% CI = 0.95, 0.97, Discussion and Implications: These findings highlight the importance of promoting neighborhood social cohesion as a part of multilevel public health strategies to mitigate cognitive decline and address health disparities in older adults. Further research is warranted to explore the mechanisms underlying these associations and to identify effective approaches for enhancing neighborhood social cohesion in communities with low-socioeconomic individuals, ultimately informing multilevel public health interventions.

Indexed as

Cognitive impairmentCohesionNeighborhoodsSocioeconomic disparities

Identifiers

PMID40502732
PMCPMC12149528

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.