Evidence map›Paper›PMID 32437703›Full record

Trial reportPreventive medicine2020

Reactions to graphic and text health warnings for cigarettes, sugar-sweetened beverages, and alcohol: An online randomized experiment of US adults.

Marissa G Hall, Anna H Grummon, Allison J Lazard, Olivia M Maynard, Lindsey Smith Taillie

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Preventive medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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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

5 authors.

Marissa G HallDepartment of Health Behavior, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA; Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA; Center for Health Promotion and Disease Prevention, University of North Carolina, Chapel Hill, NC, USA. Electronic address: mghall@unc.edu.
Anna H GrummonDepartment of Health Behavior, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA; Center for Population and Development Studies, Harvard TH Chan School of Public Health, Cambridge, MA, USA; Carolina Population Center, University of North Carolina, Chapel Hill, NC, USA.
Allison J LazardHussman School of Journalism and Media, University of North Carolina, Chapel Hill, NC, USA; Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA.
Olivia M MaynardSchool of Psychological Science, University of Bristol, Bristol, UK; MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK.
Lindsey Smith TaillieCenter for Health Promotion and Disease Prevention, University of North Carolina, Chapel Hill, NC, USA; Carolina Population Center, University of North Carolina, Chapel Hill, NC, USA; Department of Nutrition, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA.

Funding

Virology Research Program (Program 4)P30CA016086 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Deborah F. Tate · 1985 to 2026
$201.5M
POPULATION STUDIEST32HD007168 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ELIZABETH A FRANKENBERG · 1985 to 2026
$13.8M
Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
Cancer Control Education ProgramT32CA057726 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Melissa B Gilkey, Melissa A. Troester · 2017 to 2026
$3.7M
Designing and Evaluating High-Impact Pictorial Health Warnings for Food ProductsK01HL147713 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HALL, MARISSA · 2019 to 2023
$738k
NCI NIH HHS P30 CA016086NCI NIH HHS T32 CA057726NHLBI NIH HHS K01 HL147713NICHD NIH HHS P2C HD050924NICHD NIH HHS T32 HD007168
6 · The paper itself

Abstract

We aimed to examine reactions to graphic versus text-only warnings for cigarettes, SSBs, and alcohol. A convenience sample of US adults completed an online survey in 2018 (n = 1352 in the analytic sample). We randomly assigned participants to view a: 1) text-only warning without efficacy information (i.e., message intended to increase consumers' confidence in their ability to stop using the product), 2) text-only warning with efficacy information, 3) graphic warning without efficacy information, or 4) graphic warning with efficacy information. Participants viewed their assigned warning on cigarettes, SSBs, and alcohol, in a random order. Across product types, graphic warnings were perceived as more effective than text-only warnings (p < .001) and led to lower believability, greater reactance (i.e., resistance), more thinking about harms, and lower product appeal (all p < .05); policy support did not differ. Compared to SSB and alcohol warnings, cigarette warnings led to higher perceived message effectiveness, believability, fear, thinking about harms, policy support, and greater reductions in product appeal (all p < .05). The efficacy information did not influence any outcomes. Graphic warnings out-performed text-only warnings on key predictors of behavior despite causing more reactance.

Indexed as

Alcoholic BeveragesProduct LabelingSugar-Sweetened BeveragesTobacco ProductsAdultFemaleHumansMalePolicySurveys and QuestionnairesAlcoholGraphic warningsNutritionObesityPolicySmokingSugar-sweetened beveragesTobacco controlWarning labels

Identifiers

PMID32437703
PMCPMC7713698

What OpenQuestion holds

Textmetadata
LicenceTDM
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.