Evidence map›Paper›PMID 40832617›Full record

ArticlePreventive medicine reports2025

Beliefs and perceptions of genetic testing by clinical, demographic, and health characteristics: A U.S.-based study utilizing the health information national trends (HINTS) survey.

Pranali G Patel, Marvin E Langston, Justin X Moore, Yunan Han, Marquita W Lewis-Thames, Lindsay Fuzzell, Saira Khan

Abstract read
In one paragraph

Article in Preventive medicine reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Pranali G PatelDepartment of Epidemiology, The University of Alabama at Birmingham, Birmingham, AL, USA.
Marvin E LangstonDepartment of Epidemiology and Population Health, Stanford University School of Medicine, Palo Alto, California, USA.
Justin X MooreCenter for Health Equity Transformation, Department of Behavioral Science, College of Medicine, University of Kentucky, Lexington, KY, USA.
Yunan HanDivision of General Surgery, The Brooklyn Hospital Center, Brooklyn, New York, USA.
Marquita W Lewis-ThamesDepartment of Medical Social Science, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Lindsay FuzzellDepartment of Health Outcomes & Behavior, H. Lee Moffitt Cancer Center, Tampa, Florida, USA.
Saira KhanDepartment of Surgery, Division of Public Health Sciences, Washington University School of Medicine, St. Louis, MO, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Genetic testing and precision medicine enhance early detection and personalized treatment, potentially reducing morbidity and mortality. We examined how beliefs and perceptions of genetic testing and precision medicine differ by cancer history, gender, rural-urban status, physical activity, and obesity. Methods: We analyzed 3865 respondents from the Health Information National Trends Survey (HINTS) 5, Cycle 4, administered February 2020-June 2020. We assessed the associations between cancer history, demographic and health-related factors, with knowledge, beliefs, and perceptions of genetic testing and precision medicine. Adjusted Odds Ratios (AORs) and 95 % Confidence Intervals (CIs) were calculated. Results: Cancer survivors were more likely to have had genetic testing (AOR = 1.61; 95 % CI, 1.03-2.53) and to want to know if a genetic change increases cancer risk (AOR = 1.65; 95 % CI, 1.12-2.44). Men were more likely to report knowledge of precision medicine (AOR = 1.52; 95 % CI, 1.16-1.98) but less likely to believe genetic information is important for cancer prevention (AOR = 0.72; 95 % CI, 0.55-0.94). Those with less physical activity were less likely to report knowledge of precision medicine (AOR = 0.67; 95 % CI, 0.47-0.96) and genetic tests (AOR = 0.70; 95 % CI, 0.51-0.97). Individuals with obesity were more likely to believe genetic information is important for preventing (AOR = 1.36; 95 % CI, 1.06-1.75) and treating cancer (AOR = 1.27; 95 % CI, 1.02-1.59). Conclusion: Knowledge and beliefs about genetic testing and precision medicine vary by sociodemographic factors, in particular individuals with obesity are more likely to value genetic information.

Indexed as

cancer historyGenderGenetic testingHINTS dataObesityPhysical activityRural-urban status

Identifiers

PMID40832617
PMCPMC12359184

What OpenQuestion holds

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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.