Evidence map›Paper›PMID 37541932›Full record

ArticleThe American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry2023

The Relationship of MRI-Derived Alzheimer's and Cerebrovascular-Related Signatures With Level of and Change in Health and Financial Literacy.

Melissa Lamar, Konstantinos Arfanakis, Lei Yu, Alifiya Kapasi, S Duke Han, Debra A Fleischman, David A Bennett, Patricia Boyle

Abstract read
In one paragraph

Article in The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 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

8 authors.

Melissa LamarRush Alzheimer's Disease Center (ML, KA, LY, AK, SDH, DAF, DAB, PB), Rush University Medical Center, Chicago, IL; Department of Psychiatry and Behavioral Sciences (ML, DAF, PB), Rush University Medical Center, Chicago, IL. Electronic address: melissa_lamar@rush.edu.
Konstantinos ArfanakisRush Alzheimer's Disease Center (ML, KA, LY, AK, SDH, DAF, DAB, PB), Rush University Medical Center, Chicago, IL; Department of Diagnostic Radiology and Nuclear Medicine (KA, AK), Rush University Medical Center, Chicago, IL; Department of Biomedical Engineering (KA), Illinois Institute of Technology, Chicago, IL.
Lei YuRush Alzheimer's Disease Center (ML, KA, LY, AK, SDH, DAF, DAB, PB), Rush University Medical Center, Chicago, IL; Department of Neurological Sciences (LY, DAF, DAB), Rush University Medical Center, Chicago, IL.
Alifiya KapasiRush Alzheimer's Disease Center (ML, KA, LY, AK, SDH, DAF, DAB, PB), Rush University Medical Center, Chicago, IL; Department of Diagnostic Radiology and Nuclear Medicine (KA, AK), Rush University Medical Center, Chicago, IL.
S Duke HanRush Alzheimer's Disease Center (ML, KA, LY, AK, SDH, DAF, DAB, PB), Rush University Medical Center, Chicago, IL; Department of Family Medicine (SDH), Keck School of Medicine of University of Southern California, Los Angeles, CA.
Debra A FleischmanRush Alzheimer's Disease Center (ML, KA, LY, AK, SDH, DAF, DAB, PB), Rush University Medical Center, Chicago, IL; Department of Psychiatry and Behavioral Sciences (ML, DAF, PB), Rush University Medical Center, Chicago, IL; Department of Neurological Sciences (LY, DAF, DAB), Rush University Medical Center, Chicago, IL.
David A BennettRush Alzheimer's Disease Center (ML, KA, LY, AK, SDH, DAF, DAB, PB), Rush University Medical Center, Chicago, IL; Department of Neurological Sciences (LY, DAF, DAB), Rush University Medical Center, Chicago, IL.
Patricia BoyleRush Alzheimer's Disease Center (ML, KA, LY, AK, SDH, DAF, DAB, PB), Rush University Medical Center, Chicago, IL; Department of Psychiatry and Behavioral Sciences (ML, DAF, PB), Rush University Medical Center, Chicago, IL.

Funding

SUPPLEMENT TO RUSH ALZHEIMERS DISEASE CENTER COREP30AG010161 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 1991 to 2020
$49.1M
EPIDEMIOLOGY OF NEURAL RESERVE AND NEUROBIOLOGY IN AGINGR01AG017917 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 2001 to 2023
$43.3M
Characterizing the Behavior Profile of Healthy Cognitive AgingR01AG034374 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI PATRICIA A BOYLE · 2009 to 2026
$8.8M
Epidemiologic Study of Impaired Decision-Making in Preclinical Alzheimer's DiseasR01AG033678 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BOYLE, PATRICIA A · 2009 to 2025
$7.8M
Racial Differences in Decision Making among Older AdultsR01AG055430 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HAN, DUKE · 2017 to 2021
$3.3M
Small vessel disease contributions to neurodegeneration in Alzheimer's diseaseK01AG075177 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI Alifiya Kapasi · 2022 to 2026
$553k
NIA NIH HHS K01 AG075177NIA NIH HHS P30 AG010161NIA NIH HHS R01 AG017917NIA NIH HHS R01 AG033678NIA NIH HHS R01 AG034374NIA NIH HHS R01 AG055430
6 · The paper itself

Abstract

objectiveThe cortical thickness "signature" of Alzheimer's disease (AD-CT) and white matter hyperintensity (WMH) burden have each been associated with cognitive aging and incident AD and related dementias. Less is known about how these structural neuroimaging markers associate with other critical behaviors. We investigated associations of AD-CT and WMH volumes with a composite index of health and financial literacy given that the ability to access, understand, and utilize health and financial information significantly influences older adults' health outcomes. DESIGN, SETTING,

participantsParticipants were 303 adults without dementia (age∼80 years; 74% women) from the Rush Memory and Aging Project. MEASUREMENTS: Baseline 3T MRI T1-weighted structural and T2-weighted FLAIR data were used to assess AD-CT and WMH volumes, respectively. Literacy was measured using questions designed to assess comprehension of health and financial information and concepts, yielding a total literacy score. Multivariable linear mixed effects regression models determined the relationship of each neuroimaging marker, first separately and then combined, with the level of and change in literacy.

resultsReduced AD-CT and higher WMH at baseline were each associated with lower levels of literacy; only AD-CT was associated with the rate of decline in literacy over time. The association of AD-CT with change in literacy persisted when both neuroimaging markers were included in the same model.

conclusionsThe cortical thickness signature of AD predicts changes in health and financial literacy in nondemented older adults suggesting that the multidimensional construct of health and financial literacy relies on specific brain networks implicated in AD.

Indexed as

Alzheimer DiseaseHealth LiteracyAgedAgingBrainFemaleHumansMagnetic Resonance ImagingMaleAD signatureagingAlzheimer's diseasecerebrovascular diseasecortical thicknessfinancial literacyhealth literacywhite matter hyperintensity

Identifiers

PMID37541932
PMCPMC10800641

What Socratic holds

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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 Socratic graph.