Evidence map›Paper›PMID 29980116›Full record

ArticleSocial science & medicine (1982)2018

Testing competing explanations for graphic warning label effects among adult smokers and non-smoking youth.

Chris Skurka, Sahara Byrne, Julie Davydova, Deena Kemp, Amelia Greiner Safi, Rosemary J Avery, Michael C Dorf, Alan D Mathios, Jeff Niederdeppe

Abstract read
In one paragraph

Article in Social science & medicine (1982), 2018. 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. Effects of Pictorial Health Warning Labels on Intention to Quit Waterpipe in Lebanon: A Mediation Analysis.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024
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  3. A Pilot Randomised Trial Investigating the Effects of Including Efficacy Messaging on Tobacco Warning Labels.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 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

9 authors.

Chris SkurkaDepartment of Communication, Cornell University, 450B Mann Library Building, Ithaca, NY, 14853, USA. Electronic address: cjs396@cornell.edu.
Sahara ByrneDepartment of Communication, Cornell University, 450B Mann Library Building, Ithaca, NY, 14853, USA.
Julie DavydovaDepartment of Communication, Cornell University, 450B Mann Library Building, Ithaca, NY, 14853, USA.
Deena KempDepartment of Communication, Cornell University, 450B Mann Library Building, Ithaca, NY, 14853, USA.
Amelia Greiner SafiDepartment of Communication and Department of Population Medicine and Diagnostic Sciences, Cornell University, 450B Mann Library Building, Ithaca, NY, 14853, USA.
Rosemary J AveryDepartment of Policy Analysis and Management, Cornell University, 2301G Martha Van Rensselaer Hall, Ithaca, NY, 14853, USA.
Michael C DorfCornell University Law School, 247 Hughes Hall, Ithaca, NY, 14853, USA.
Alan D MathiosCollege of Human Ecology, Cornell University, 1300 Martha Van Rensselaer Hall, Ithaca, NY, 14853, USA.
Jeff NiederdeppeDepartment of Communication, Cornell University, 450B Mann Library Building, Ithaca, NY, 14853, USA.

Funding

Impact of Flavors in Tobacco Products: An Experimental Market AnalysisR01HD079612 · NICHD · CORNELL UNIVERSITY · PI BYRNE, SAHARA ELIZABETH, NIEDERDEPPE, JEFFREY D · 2014 to 2018
$3.1M
NICHD NIH HHS R01 HD079612
6 · The paper itself

Abstract

rationaleThe United States courts have blocked the implementation of graphic warning labels on cigarette packages (GWLs). This decision was based, in part, on the premise that GWLs are unnecessarily emotional and are meant to scare rather than inform consumers about smoking's health effects. However, research in judgment and decision-making suggests these relationships are more complex.

objectiveIn this article, we draw on several theoretical frameworks that lead to competing hypotheses about the relationships between negative affect, health risk beliefs, and quit intentions (among adult smokers) or susceptibility to start smoking (among non-smoking youth).

methodWe tested these competing mediation models using data from two experiments with two populations each-adult smokers (Ns = 313 and 238) and primarily non-smoking middle-school youth (Ns = 340 and 237). Using mobile recruitment methods, we focused specifically on individuals from socioeconomically disadvantaged communities in rural and urban areas of the Northeastern United States.

resultsThe best fitting model across all four datasets was one in which label-induced negative affect (a) directly predicted intentions/susceptibility but also (b) indirectly predicted intentions/susceptibility via risk beliefs. Although mediation analyses did not demonstrate significant serial mediation effects of label exposure on intentions/susceptibility through negative affect then risk beliefs, there was some evidence that label exposure indirectly promoted adults' quit intentions through negative affect. Additionally, negative affect consistently mediated the indirect effect of label exposure on strengthened risk beliefs among adults and youth.

conclusionsThese results speak to the importance of negative affect in directly motivating adult smokers' quit intentions but also serving an informational function, directing adult smokers and non-smoking youth to accept the health risks of smoking.

Indexed as

AdultFemaleHumansIntentionMaleMiddle AgedNew EnglandNon-SmokersProduct LabelingSmokersSmokingSmoking CessationTobacco ProductsUnited StatesAdult smokersEmotionGraphic warning labelsHealth communicationRisk beliefsTobacco controlUnited StatesYouth

Identifiers

PMID29980116
PMCPMC6077088

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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.