Evidence map›Paper›PMID 39985486›Full record

Trial reportAlcohol, clinical & experimental research2025

Developing and testing health warnings about alcohol and risk for breast cancer: Results from a national experiment with young adult women in the United States.

Zachary B Massey, Allison B Anbari, Na Wang, Abigail Adediran, LaRissa L Lawrie, Priscilla Martinez, Denis McCarthy

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Alcohol, clinical & experimental research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Review
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.

Zachary B MasseyTSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences, Oklahoma City, Oklahoma, USA.ORCID 0000-0003-3484-5768
Allison B AnbariSinclair School of Nursing, University of Missouri, Columbia, Missouri, USA.ORCID 0000-0001-8228-3574
Na WangDepartment of Communication, University of Missouri, Columbia, Missouri, USA.ORCID 0009-0001-0531-6085
Abigail AdediranDepartment of Communication, University of Missouri, Columbia, Missouri, USA.ORCID 0000-0002-1680-2564
LaRissa L LawrieSchool of Journalism, University of Missouri, Columbia, Missouri, USA.ORCID 0000-0002-1756-2240
Priscilla MartinezAlcohol Research Group/Public Health Institute, Emeryville, California, USA.ORCID 0000-0002-6797-1632
Denis McCarthyDepartment of Psychological Sciences, University of Missouri, Columbia, Missouri, USA.ORCID 0000-0002-5799-8057

Funding

Tissue Pathology Shared ResourceP30CA225520 · NCI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI ROBERT S. MANNEL · 2018 to 2026
$27.1M
Developing and Testing Warning Labels for Retail Cannabis ProductsK01DA057395 · NIDA · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI Zachary Massey · 2023 to 2026
$717k
Missouri Center for Addition Research and EngagementNCI NIH HHS P30 CA225520NCI NIH HHS P30CA225520NIDA NIH HHS K01 DA057395NIDA NIH HHS K01DA057395Tobacco Settlement Endowment Trust STCST00400_FY25
6 · The paper itself

Abstract

backgroundThis study sought to identify effective health warnings about alcohol consumption and breast cancer risk among young adult female participants.

methodsWe tested a pool of health warnings in a national pilot study. We used the most effective designs from the pilot in the main experiment where young (ages 21-29) U.S. adult female participants (N = 1038) reporting past 30-day alcohol consumption were randomly assigned into 1 of 4 conditions where they viewed a health warning about (1) mortality, (2) mastectomy, (3) hair loss, or (4) control (non-health warning message). Participants were then randomly assigned to view 1 of 2 message types within each condition: text-only or pictorial. Warnings were shown apart from products. Outcomes were message reactions (attention to and cognitive elaboration of warnings, fear, hope, and perceived message effectiveness), attitudes and beliefs (perceived severity and susceptibility to alcohol harms, and perceived response and self-efficacy to prevent alcohol harms), and behavioral intentions to stop or to reduce alcohol consumption in the next month.

resultsMultivariate analysis of covariance (MANCOVA) models testing between warning conditions showed estimated marginal means (EMM) for every health warning condition were significantly higher than the control for attention (control = 5.80 vs. mortality = 6.63, mastectomy = 6.81, hair loss = 6.83, all ps < 0.05), fear (control = 2.45 vs. mortality = 4.11, mastectomy = 4.16, hair loss = 4.02, ps < 0.05), perceived message effectiveness (control = 3.44 vs. mortality = 5.75, mastectomy = 5.82, hair loss = 6.09, ps < 0.05), and perceived severity of alcohol harms (control = 5.51 vs. mortality = 6.25, mastectomy = 6.09, hair loss = 6.35, ps < 0.05). There were no significant differences between the health warnings about cancer effects for perceived message effectiveness. EMMs for intentions to reduce alcohol consumption in the next month were significantly higher in the mortality (6.44) and hair loss (6.35) conditions versus control (5.61, ps < 0.05).

conclusionExposure to health warnings about alcohol consumption and breast cancer risk (vs. control) resulted in greater attention, fear, perceived message effectiveness, perceived severity of alcohol harms, and intentions to reduce alcohol consumption.

Indexed as

Alcohol DrinkingBreast NeoplasmsAdultFemaleHealth Knowledge, Attitudes, PracticeHumansPilot ProjectsRisk FactorsUnited StatesYoung Adultalcoholcancer controlhealth warningsmessage impact framework

Identifiers

PMID39985486
PMCPMC12186991

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.