Evidence map›Paper›PMID 29793189›Full record

ArticleDrug and alcohol dependence2018

Effects of exposure to anti-vaping public service announcements among current smokers and dual users of cigarettes and electronic nicotine delivery systems.

Andy S L Tan, Vaughan W Rees, Justin Rodgers, Emeka Agudile, Natasha A Sokol, Kyeungyeun Yie, Ashley Sanders-Jackson

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. The Impact of The Real Cost Vaping and Smoking Ads across Tobacco Products.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023
    Trial
  3. Trial
  4. Review
  5. Cue Reactivity to Electronic Cigarettes: A Systematic Review.Substance abuse : research and treatment · 2022
    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.

Andy S L TanDana-Farber Cancer Institute, Population Sciences Division, Center for Community Based Research, Boston, MA, USA; Harvard T.H. Chan School of Public Health, Department of Social and Behavioral Sciences, Boston, MA, USA. Electronic address: andy_tan@dfci.harvard.edu.
Vaughan W ReesHarvard T.H. Chan School of Public Health, Department of Social and Behavioral Sciences, Boston, MA, USA.
Justin RodgersHarvard T.H. Chan School of Public Health, Department of Social and Behavioral Sciences, Boston, MA, USA.
Emeka AgudileHarvard T.H. Chan School of Public Health, Department of Social and Behavioral Sciences, Boston, MA, USA.
Natasha A SokolHarvard T.H. Chan School of Public Health, Department of Social and Behavioral Sciences, Boston, MA, USA.
Kyeungyeun YieMichigan State University, Department of Advertising and Public Relations, College of Communication Arts and Science, 404 Wilson Road, Lansing, MI, USA.
Ashley Sanders-JacksonMichigan State University, Department of Advertising and Public Relations, College of Communication Arts and Science, 404 Wilson Road, Lansing, MI, USA.

Funding

Maximizing state & local policies to restrict tobacco marketing at point of saleU01CA154281 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HENRIKSEN, LISA ANNE, LUKE, DOUGLAS A · 2011 to 2015
$6.3M
E-Cigarette Vaping in Advertising Portrayals and Behavioral Outcomes Research (E-VAPOR Study)R03CA212544 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI TAN, ANDY SL · 2017 to 2018
$255k
NCI NIH HHS R03 CA212544NCI NIH HHS U01 CA154281
6 · The paper itself

Abstract

introductionAnti-vaping public service announcements (PSAs) are intended to discourage vaping or use of electronic nicotine delivery systems (ENDS). However, vaping portrayals in PSAs may have unintended effects if they increase smoking or vaping urges. This study examined benefits and unintended effects of anti-vaping PSAs with vapor portrayals on smoking and vaping-related outcomes.

methodsYoung adult smokers (N = 171) and dual users (N = 122) aged 21-30 years were randomly assigned to view: 1) anti-vaping PSAs with vapor; 2) anti-vaping PSAs without vapor; 3) physical activity PSAs; or 4) anti-smoking PSAs with smoking cues. Outcomes were changes in vaping and smoking urges before and after viewing PSAs, post-test vaping and smoking intentions in the next hour, and post-test intention to purchase ENDS and traditional cigarettes.

resultsSmokers only: Exposure to anti-vaping PSAs with vapor (vs. physical activity) was associated with lower intention to vape and to purchase ENDS (ps < 0.001) and lower intention to smoke and purchase cigarettes (ps < 0.05). Exposure to anti-vaping PSAs with vapor (vs. PSAs without vapor and vs. anti-smoking PSAs with smoking cues) was associated with lower intention to vape in the next hour (ps < 0.05). Exposure to anti-vaping PSAs without vapor (vs. physical activity) was associated with lower change in vaping urge (p < 0.05) and intention to purchase ENDS (p < 0.001). Dual users: Exposure to anti-vaping PSAs without vapor (vs. anti-smoking PSAs) was associated with lower intention to purchase ENDS (p < 0.05).

conclusionViewing anti-vaping PSAs with vapor was not associated with unintended effects and may have benefits on reducing smoking and vaping-related outcomes.

Indexed as

Public Service Announcements as TopicTobacco ProductsAdultElectronic Nicotine Delivery SystemsExerciseFemaleHumansIntentionMaleSmokersSmoking CessationVapingYoung AdultDual usersElectronic nicotine delivery systemsPublic service announcementsSmokers

Identifiers

PMID29793189
PMCPMC6825509

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.