Evidence map›Paper›PMID 42574567›Full record

ArticleCancer control : journal of the Moffitt Cancer Center

Exploratory Analysis of Health Literacy and Genetic Testing Awareness, Uptake, and Desire for Genetic Risk Information: Findings From a Cross-Sectional Community Survey.

Mariana Arevalo, Nathanael B Stanley, Kristina A Inman, Kenisha Avery, Vani N Simmons, Susan T Vadaparampil

Abstract read
In one paragraph

Article in Cancer control : journal of the Moffitt Cancer Center. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Mariana ArevaloOffice of Community Outreach & Engagement, Moffitt Cancer Center, Tampa, FL, USA.ORCID 0000-0001-5825-532X
Nathanael B StanleyOffice of Community Outreach & Engagement, Moffitt Cancer Center, Tampa, FL, USA.
Kristina A InmanOffice of Community Outreach & Engagement, Moffitt Cancer Center, Tampa, FL, USA.
Kenisha AveryOffice of Community Outreach & Engagement, Moffitt Cancer Center, Tampa, FL, USA.
Vani N SimmonsOffice of Community Outreach & Engagement, Moffitt Cancer Center, Tampa, FL, USA.
Susan T VadaparampilOffice of Community Outreach & Engagement, Moffitt Cancer Center, Tampa, FL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

IntroductionLimited research has examined whether genetic testing awareness and uptake differ for individuals with varying levels of health literacy. We examined the association between health literacy and genetic testing and 1) awareness, 2) uptake, and 3) desire for genetic risk information, while controlling for socio-demographic factors.MethodsWe conducted secondary analyses using cross-sectional data from a Community Health Needs Assessment (CHNA) survey conducted between January and March 2022. Multivariable binary logistic regression models were used to examine the relationship between health literacy and genetic testing awareness and uptake, and an ordinal logistic regression model examined the association between health literacy and desire for genetic risk information. All models were adjusted for demographic characteristics.ResultsThe sample was predominantly female (67.8%), White (75.7%), non-Hispanic (77.1%), employed (52%), had a high school education or vocational training (44.8%), had health insurance coverage (85.6%), and preferred to speak English at home (79.4%). After controlling for socio-demographic characteristics, higher health literacy was associated with greater odds of genetic testing awareness (aOR = 1.27, 95% CI: 1.10 - 1.47), and inversely associated with genetic testing uptake (aOR = 0.78, 95% CI: 0.69 - 0.88). The association between health literacy and desire for genetic risk information was not statistically significant after controlling for demographics.ConclusionsOur findings suggest that health literacy is associated with genetic testing awareness, but more research is needed to fully understand the relationship between health literacy and genetic testing engagement. Our findings could help inform future community-based, health literacy-sensitive interventions.

Indexed as

Genetic Predisposition to DiseaseGenetic TestingHealth Knowledge, Attitudes, PracticeHealth LiteracyAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedSurveys and QuestionnairesawarenessCHNAgenetic testinghealth literacyuptakeuse

Identifiers

PMID42574567
PMCPMC13458323

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LicenceCC BY-NC
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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.