Evidence map›Paper›PMID 31204814›Full record

ArticleNeuropsychology2019

Financial and health literacy discrepancies with cognition in older adults.

Gali H Weissberger, S Duke Han, Lei Yu, Lisa L Barnes, David A Bennett, Patricia A Boyle

Abstract read
In one paragraph

Article in Neuropsychology, 2019. 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. Trial
  2. Review
  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

6 authors.

Gali H WeissbergerDepartment of Family Medicine.
S Duke HanDepartment of Family Medicine.
Lei YuRush Alzheimer's Disease Center.
Lisa L BarnesRush Alzheimer's Disease Center.
David A BennettRush Alzheimer's Disease Center.
Patricia A BoyleRush Alzheimer's Disease Center.

Funding

EPIDEMIOLOGY OF NEURAL RESERVE AND NEUROBIOLOGY IN AGINGR01AG017917 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 2001 to 2023
$43.3M
RESEARCH TRAINING IN GERONTOLOGYT32AG000037 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JENNIFER A AILSHIRE, EILEEN M CRIMMINS · 1985 to 2026
$13.2M
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
National Institutes of Health; National Institute on AgingNIA NIH HHS R01 AG017917NIA NIH HHS R01 AG033678NIA NIH HHS R01 AG055430NIA NIH HHS T32 AG000037
6 · The paper itself

Abstract

objectiveGreater financial and health literacy are associated with better cognition; however, research suggests that some individuals exhibit differences, or discrepancies, in these abilities in old age. We investigated discrepancies between literacy and cognition and factors associated with such discrepancies in older adults without dementia.

methodParticipants (

resultsOf the 714 participants, 24% showed significant discrepancies. In fully adjusted models, in reference to the L = C group, male sex was associated with greater odds of being in the L > C group (odds ratio [

conclusionsFindings support literacy and cognition as partially dissociable constructs and highlight important factors associated with discrepancies between literacy and cognition. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Indexed as

CognitionEconomicsHealth LiteracyInformation LiteracyAgedAged, 80 and overCognitive AgingFemaleHumansIncomeMaleSex FactorsSocioeconomic FactorsTrust

Identifiers

PMID31204814
PMCPMC6763386

What OpenQuestion 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 OpenQuestion graph.