Evidence map›Paper›PMID 31116400›Full record

ArticleTranslational behavioral medicine2020

Trust in national health information sources in the United States: comparing predictors and levels of trust across three health domains.

Emily B Peterson, Wen-Ying Sylvia Chou, Dannielle E Kelley, Brad Hesse

Open access · hybridAbstract read
In one paragraph

Article in Translational behavioral medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
7.3field-weighted citation impact, top 3% of its field
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

19 citing papers in PubMed, 35 citations in OpenAlex.

  1. Tailoring e-Cigarette Health Messages by Vaping Status: How Source and Message Presentation Type Shape Young Adults' Perceptions.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026
    Trial
  2. Communicating Risk in the Age of Misinformation: Empirical Frameworks for Understanding Stakeholder Trust.Risk analysis : an official publication of the Society for Risk Analysis · 2026
    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

4 authors at 1 institution in 1 country.

Emily B PetersonBehavioral Research Program, National Cancer Institute, Rockville, MD, USA.
Wen-Ying Sylvia ChouBehavioral Research Program, National Cancer Institute, Rockville, MD, USA.
Dannielle E KelleyBehavioral Research Program, National Cancer Institute, Rockville, MD, USA.
Brad HesseBehavioral Research Program, National Cancer Institute, Rockville, MD, USA.
National Cancer Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Public trust in traditional sources of health information is essential for public health agencies and organizations to perform necessary public health functions. Little research has examined levels and predictors of trust in government health agencies and national health organizations. Additionally, few studies have simultaneously analyzed trust in multiple health topics. The major aim of this study was to compare levels and factors associated with trust in national health sources across three health topics: information about tobacco, electronic cigarettes, and general health. Data from two cycles of the National Cancer Institute's Health Information National Trends Survey collected in 2015 and 2017 were merged and analyzed for this study (n = 5,474). A series of weighted multivariable logistic regression models calculated odds of high trust in government health agencies and health organizations for each health topic. More respondents reported high trust in health organizations than for government health agencies across all topics. More participants reported high trust in these sources tobacco information, as compared to general health or e-cigarette information. Logistic models found that those higher in information seeking confidence were more likely to report high trust across all models. Other demographic variables were inconsistent predictors of trust across topics. This study highlights inconsistent sociodemographic predictors of trust across multiple health topics and national health sources. Researchers, practitioners, and policymakers should consider the unique context of specific health topics in health promotion campaigns, partner with existing community-based organizations, and encourage and enable health information seeking.

Indexed as

Electronic Nicotine Delivery SystemsTobacco ProductsHealth PromotionHumansSurveys and QuestionnairesTrustUnited StatesConfidence in health information seekingNational health information sourcesTobaccoTrust

Identifiers

PMID31116400
PMCPMC7753001
OpenAlexW2945557083

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.