Evidence map›Paper›PMID 34483460›Full record

ArticleCommunication monographs2021

The Role of Information Avoidance in Managing Uncertainty from Conflicting Recommendations about Electronic Cigarettes.

Qinghua Yang, Natalie Herbert, Sijia Yang, Julia Alber, Yotam Ophir, Joseph N Cappella

Abstract read
In one paragraph

Article in Communication monographs, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Vulnerability to the Effects of Conflicting Health Information: Testing the Moderating Roles of Trust in News Media and Research Literacy.Health education & behavior : the official publication of the Society for Public Health Education · 2023
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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

6 authors.

Qinghua YangBob Schieffer College of Commuication, Texas Christian University, Fort Worth, TX.
Natalie HerbertNational Academies of Sciences, Engineering, and Medicine, Washington, DC.
Sijia YangSchool of Journalism & Mass Communication, University of Wisconsin, Madison, WI.
Julia AlberKinesiology and Public Health, California Polytechnic State University, San Luis Obispo, CA.
Yotam OphirDepartment of Communication, University at Buffalo-SUNY, Buffalo, NY.
Joseph N CappellaAnnenberg School for Communication, University of Pennsylvania, Philadelphia, PA.

Funding

UPENN TCORS: Tobacco Product Messaging in a Complex Communication EnvironmentP50CA179546 · NCI · UNIVERSITY OF PENNSYLVANIA · PI HORNIK, ROBERT C., LERMAN, CARYN · 2013 to 2017
$18.7M
NCI NIH HHS P50 CA179546
6 · The paper itself

Abstract

Insufficient scientific evidence about electronic cigarettes (e-cigarettes) has led to conflicting recommendations (CRs) by credible scientific organizations, creating a public health debate that could prove especially difficult to reconcile as current and former smokers make decisions about whether to use e-cigarettes. To investigate how CRs about e-cigarettes may affect intentions to engage in healthy behaviors, 717 former and current smokers were randomly exposed to one of five conditions (varying in the level of conflict in recommendations) in this between-subject experiment. Our results indicated a significant interaction between the message level of conflict and individuals' information avoidance, employed to maintain hope and deniability. These results suggest the effects of CRs stemming from scientific uncertainty vary with subgroups of people, pointing to several pressing theoretical and practical implications.

Indexed as

carryover effectsconflicting recommendationsconfusionelectronic cigarettesinformation avoidanceuncertainty

Identifiers

PMID34483460
PMCPMC8412215

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.