Evidence map›Paper›PMID 40894270›Full record

ArticleLancet regional health. Americas2025

Multilevel and multidimensional features of socioeconomic status and cognitive function in older adulthood: a cross-sectional analysis of the IGNITE study.

Jermon A Drake, Lu Wan, Chaeryon Kang, Peter J Gianaros, Patricio Solis-Urra, Haiqing Huang, Rebecca Reed, Charles H Hillman, Eric D Vidoni, Jeffrey M Burns and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Lancet regional health. Americas, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trial
  2. Trial
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

15 authors.

Jermon A DrakeDepartment of Psychology, University of Pittsburgh, Pittsburgh, PA, USA.
Lu WanAdventHealth Research Institute, Department of Neuroscience, AdventHealth, Orlando, FL, USA.
Chaeryon KangDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
Peter J GianarosDepartment of Psychology, University of Pittsburgh, Pittsburgh, PA, USA.
Patricio Solis-UrraAdventHealth Research Institute, Department of Neuroscience, AdventHealth, Orlando, FL, USA.
Haiqing HuangAdventHealth Research Institute, Department of Neuroscience, AdventHealth, Orlando, FL, USA.
Rebecca ReedDepartment of Psychology, University of Pittsburgh, Pittsburgh, PA, USA.
Charles H HillmanCenter for Cognitive and Brain Health, Northeastern University, Boston, MA, USA.
Eric D VidoniAlzheimer's Disease Research Center, University of Kansas Medical Center, Kansas City, KS, USA.
Jeffrey M BurnsAlzheimer's Disease Research Center, University of Kansas Medical Center, Kansas City, KS, USA.
Arthur F KramerCenter for Cognitive and Brain Health, Northeastern University, Boston, MA, USA.
Edward McAuleyBeckman Institute, University of Illinois, Urbana, IL, USA.
George GroveDepartment of Psychology, University of Pittsburgh, Pittsburgh, PA, USA.
Kirk I EricksonAdventHealth Research Institute, Department of Neuroscience, AdventHealth, Orlando, FL, USA.
Lauren E OberlinAdventHealth Research Institute, Department of Neuroscience, AdventHealth, Orlando, FL, USA.

Funding

Targeting Network Dysfunction in Apathy of Late-life Depression Using Digital TherapeuticsK23MH129882 · NIMH · WEILL MEDICAL COLL OF CORNELL UNIV · PI Lauren Elizabeth Oberlin · 2023 to 2026
$775k
Multidimensional Features of Socioeconomic Status, Brain Age, and the Potential Mediating Role of Cardiometabolic Health Among Mid and Late Life AdultsF31AG090048 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DRAKE, JERMON · 2024 to 2024
$49k
NIA NIH HHS F31 AG090048NIMH NIH HHS K23 MH129882
6 · The paper itself

Abstract

Background: Lower socioeconomic status (SES) is associated with increased risk of cognitive decline and dementia, yet reliance on singular indicators of SES limits understanding of these relationships. We examined multiple SES characteristics at the individual and area-levels simultaneously in association with diverse cognitive processes in a large, community-dwelling older adult sample. Methods: Data collected at three United States sites (Boston, Pittsburgh, Kansas City) included a comprehensive cognitive assessment comprising measures of episodic memory, executive function, processing speed, working memory, and visuospatial abilities. Multiple SES measures were obtained including area-level (Area Deprivation Index), subjective, and objective SES. We generated a novel objective SES latent factor from measures of income, savings, debt-adjusted savings, and financial stability using full information maximum likelihood to address missing data, and examined cross-sectional associations of SES indicators with each cognitive domain as outcome variables in multivariable regression models. Findings: This study included 648 cognitively unimpaired older adults (69.88 (3.75) years; 71% female). Individual-level objective SES (processing speed, Interpretation: Standard measures of objective SES may underestimate the broad cognitive burden of socioeconomic inequity. Integrating multiple financial indicators into future studies may improve estimation of the public health impact of socioeconomic conditions in older adulthood. Funding: National Institutes of Health (R01AG053952).

Indexed as

AgingCognitive functionHealth equityOlder adulthoodPublic healthSocial determinants of healthSocial disparitiesSocioeconomic status

Identifiers

PMID40894270
PMCPMC12396020

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.