Evidence map›Paper›PMID 36592525›Full record

ArticleAddictive behaviors2023

Tobacco advertising exposure and product use among young adults: An ecological momentary assessment approach.

Emily T Hébert, Elizabeth A Vandewater, Michael S Businelle, Melissa B Harrell, Steven H Kelder, Cheryl L Perry

Open access · greenAbstract read
In one paragraph

Article in Addictive behaviors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
12.1field-weighted citation impact, top 2% of its field
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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
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

6 authors at 4 institutions in 1 country.

Emily T HébertUniversity of Texas Health Science Center at Houston (UTHealth), School of Public Health, Austin Campus, Austin, TX, United States. Electronic address: emily.t.hebert@uth.tmc.edu.
Elizabeth A VandewaterPopulation Research Center, University of Texas at Austin, Austin, TX, United States.
Michael S BusinelleTSET Health Promotion Research Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States; Department of Family and Preventive Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States.
Melissa B HarrellUniversity of Texas Health Science Center at Houston (UTHealth), School of Public Health, Austin Campus, Austin, TX, United States.
Steven H KelderUniversity of Texas Health Science Center at Houston (UTHealth), School of Public Health, Austin Campus, Austin, TX, United States.
Cheryl L PerryUniversity of Texas Health Science Center at Houston (UTHealth), School of Public Health, Austin Campus, Austin, TX, United States.
The University of Texas Health Science Center at Houston · USUniversity of Texas Health Science Center at Dallas · USThe University of Texas at Austin · USUniversity of Oklahoma Health Sciences Center · US

Funding

Training & Education Core p335-350P50CA180906 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI PERRY, CHERYL LEE · 2013 to 2017
$19.7M
Using Machine Learning to Develop Just-in-Time Adaptive Interventions for Smoking CessationR00DA046564 · NIDA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI HEBERT, EMILY TAYLOR · 2021 to 2023
$747k
NCI NIH HHS P50 CA180906NIDA NIH HHS R00 DA046564
6 · The paper itself

Abstract

introductionTobacco-related content is prevalent on social media, yet many methods of measuring exposure are inadequate due to the personalized nature of online marketing. The purpose of this paper is to examine the association between exposure to pro-tobacco messages (both industry-sponsored and user-generated) and the use of tobacco products, as reported via ecological momentary assessment (EMA).

methodsYoung adults (n = 175) were instructed to record all sightings of marketing (both in-person and online) related to tobacco for 28 days. Tobacco product use and recall of message encounters were assessed daily using app-initiated EMA.

resultsParticipants who reported exposure to tobacco messages were significantly more likely to report using tobacco, adjusting for gender, age, race/ethnicity, baseline use of any tobacco product, and having friends who use tobacco and e-cigarettes (p <.001). For each industry-sponsored message viewed, the odds of using tobacco or e-cigarettes in a given day increased by a factor of 1.77 (95 % CI = 1.41, 2.23). For each user-generated message viewed, the odds of using tobacco or e-cigarettes in a given day increased by a factor of 1.52 (95 % CI = 1.27, 1.83). DISCUSSION: To our knowledge, this is the first study to specifically examine the association between exposure to user-generated messages and daily tobacco use. The findings suggests that there is a unique element to user-generated messages that distinguishes them from both traditional marketing and from simple peer influence.

Indexed as

Electronic Nicotine Delivery SystemsTobacco ProductsAdvertisingEcological Momentary AssessmentHumansMarketingTobacco UseYoung AdultEcological momentary assessmentSocial mediaTobacco marketing

Identifiers

PMID36592525
PMCPMC9872832
OpenAlexW4313400358

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.