Evidence map›Paper›PMID 40164170›Full record

ArticleJournal of medical Internet research2025

Design and Baseline Evaluation of Social Media Vaping Prevention Trial: Randomized Controlled Trial Study.

William Douglas Evans, Megumi Ichimiya, Jeffrey B Bingenheimer, Jennifer Cantrell, Alexander P D'Esterre, Olivia Pincus, Linda Q Yu, Elizabeth C Hair

Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04867668 (Digital Media for Cancer Control), which is not on this 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.

NCT04867668 nacompletednot on this map

Digital Media for Cancer Control: Randomized Controlled Trial and Dose-Response Effects

TypeinterventionalSponsorGeorge Washington UniversityRan2021 to 2026Enrolled2,800ConditionsTobacco UseArmsAnti-vaping and anti-smoking digital advertising
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  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

8 authors.

William Douglas EvansPrevention and Community Health, Milken Institute School of Public Health, George Washington University, Washington, DC, United States.ORCID https://orcid.org/0000-0002-7559-1592
Megumi IchimiyaPrevention and Community Health, Milken Institute School of Public Health, George Washington University, Washington, DC, United States.ORCID https://orcid.org/0000-0002-2665-6513
Jeffrey B BingenheimerPrevention and Community Health, Milken Institute School of Public Health, George Washington University, Washington, DC, United States.ORCID https://orcid.org/0000-0002-1427-0402
Jennifer CantrellDepartment of Social and Behavioral Sciences, School of Public Health, New York University, New York, NY, United States.ORCID https://orcid.org/0000-0003-4730-2535
Alexander P D'EsterreSchroeder Institute, Truth Initiative, Washington, DC, United States.ORCID https://orcid.org/0000-0002-5722-6719
Olivia PincusPrevention and Community Health, Milken Institute School of Public Health, George Washington University, Washington, DC, United States.ORCID https://orcid.org/0009-0008-0755-7158
Linda Q YuSchroeder Institute, Truth Initiative, Washington, DC, United States.ORCID https://orcid.org/0000-0002-4658-9100
Elizabeth C HairSchroeder Institute, Truth Initiative, Washington, DC, United States.ORCID https://orcid.org/0000-0003-0536-2409

Funding

Digital Media for Cancer Control: Randomized Controlled Trial and Dose Response EffectsR01CA253013 · NCI · GEORGE WASHINGTON UNIVERSITY · PI EVANS, W. DOUGLAS · 2020 to 2024
$3.1M
NCI NIH HHS R01 CA253013
6 · The paper itself

Abstract

backgroundElectronic cigarette (e-cigarette) use is a major public health problem and young adults aged 18-24 years are at high risk. Furthermore, oral nicotine products (ONPs) are growing in popularity in this population. Poly-use is widespread. New methodologies for rigorous online studies using social media have been conducted and shown to reduce nicotine use.

objectiveWe report on the design and baseline evaluation of a large-scale social media-based randomized controlled trial to evaluate the effects of antivaping social media on young adult vaping and determinants of use.

methodsUsing the Virtual Lab social media platform, participants were recruited using an artificial intelligence chatbot and social media advertising, completed a baseline survey, and were randomized to 1 of 4 study arms. The design was to achieve specific numbers of impressions per arm over 3 survey time points. We recruited 8437 participants, stratified by vaper (n=5026) and nonvaper (n=3321) status. Questionnaire data were collected using the Qualtrics survey platform. Future analyses will examine the effects of social media content on vaping at the endline. Our data analysis describes the 2 cohort samples, examines balance across the 4 study arms on baseline variables in each of the cohorts, and evaluates the internal consistency of several multi-indicator measures of psychosocial constructs.

resultsAmong vapers, almost three-fourths were current vapers, >40% were current smokers (using in the past 30 days), and >48% were current poly-users (using e-cigarettes and ≥1 other tobacco products). Substantial numbers of current vapers also currently use some other product, including cigars (n=1520, 30.2%), hookah (n=794, 15.8%), smokeless devices (n=462, 9.2%), and ONPs (n=578, 11.5%). The average age of participants was 21.2 (SD 2) years. Just less than 45% of participants were non-Hispanic White (n=3728, 44.7%), just less than 47% (n=3913, 46.9%) of the sample was male, more than 44% (n=3704, 44.4%) reported completing high school, and 79.3% reported meeting basic needs or better. There were no significant differences between arms and strata by any of these demographics. We calculated scale scores for depression and covariates related to nicotine use and found high alphas. Finally, participants who reported having seen antitobacco brand advertising were more likely to have higher levels of these variables and scales than participants who reported not having seen the advertisements. These results will be examined in future studies.

conclusionsSocial media can be used as a platform at scale for longitudinal randomized controlled trials over extended periods, which extends previous research on short-term trials. Interventions delivered by social media can be used with large samples to evaluate social media health behavior change interventions. Future studies based on this research will evaluate the intervention and dose-response effects of social media exposure on vaping behavior and determinants.

trial registrationClinicalTrials.gov NCT04867668; https://clinicaltrials.gov/study/NCT04867668.

Indexed as

Social MediaVapingAdolescentAdultElectronic Nicotine Delivery SystemsFemaleHumansMaleRandomized Controlled Trials as TopicResearch DesignSurveys and QuestionnairesYoung Adulte-cigarettesnicotinenicotine poly-useoral nicotine productsrandomized controlled trialsocial media

Identifiers

PMID40164170
PMCPMC11997523

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.