Evidence map›Paper›PMID 33217687›Full record

ArticleThe International journal on drug policy2020

Differential patterns of e-cigarette and tobacco marketing exposures among youth: Associations with substance use and tobacco prevention strategies.

Nicholas Peiper, Camila Aramburú, Kirsten Thompson, Melissa Abadi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The International journal on drug policy, 2020. 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. Patterns of ENDS-Related Content Exposure on Social Media Among US Adolescents and Young Adults.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026
    Article
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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

4 authors.

Nicholas PeiperLouisville Center, Pacific Institute for Research and Evaluation, 401 West Main Street, Suite 2100, Louisville 40202, KY, USA; Department of Epidemiology and Population Health, University of Louisville, 485 East Gray Street, Louisville 40202, KY, USA. Electronic address: npeiper@pire.org.
Camila AramburúLouisville Center, Pacific Institute for Research and Evaluation, 401 West Main Street, Suite 2100, Louisville 40202, KY, USA. Electronic address: caramburu@pire.org.
Kirsten ThompsonLouisville Center, Pacific Institute for Research and Evaluation, 401 West Main Street, Suite 2100, Louisville 40202, KY, USA. Electronic address: kthompson@pire.org.
Melissa AbadiLouisville Center, Pacific Institute for Research and Evaluation, 401 West Main Street, Suite 2100, Louisville 40202, KY, USA. Electronic address: mabadi@pire.org.

Funding

Associations of Youth E-Cig and Tobacco Use: Ecological Momentary AssessmentR03DA041899 · NIDA · PACIFIC INSTITUTE FOR RES AND EVALUATION · PI ABADI, MELISSA H · 2017 to 2018
$223k
NIDA NIH HHS R03 DA041899
6 · The paper itself

Abstract

backgroundThis study identified patterns of tobacco marketing exposures among youth and examined their associations with substance use and tobacco prevention strategies.

methodsIn Fall 2018, 2,058 middle and high school students (ages 11-18) in an Appalachian county completed a substance use and behavioral health surveillance survey. We conducted latent class analysis (LCA) to identify exposure classes based on responses to 14 tobacco marketing exposures. Multinomial logistic regression was then performed to determine associations between the latent classes with past 30-day substance use and tobacco prevention strategies (e.g., school policies, parental rules, prevention messages).

resultsFour latent classes of marketing exposure were identified among middle school students: low exposure, television, social media, and high exposure. Multinomial logistic regression found significant associations between e-cigarette use with the social media and high exposure classes, while prescription drug use was associated with the social media class and alcohol use with the high exposure class. For high school students, five classes were identified: low exposure, social media, environmental, cigarettes, and high exposure. E-cigarette and prescription drug use were associated with the social media and high exposure classes. Cigarette use was associated with the social media class. School rules prohibiting e-cigarettes were associated with the television class for middle school students. Self-reported exposure to prevention messages about the harms of tobacco were associated with multiple exposure classes for both middle (television and social media) and high school (social media and cigarettes) students, suggesting that both pro- and anti-tobacco communications have become ubiquitous and may be saturating youth.

conclusionThis study demonstrates the need for stricter tobacco marketing regulations and multi-level interventions beginning in early adolescence that focus on increasing media-based literacy for youth to better discern tobacco prevention messages from pro-tobacco communications.

Indexed as

Electronic Nicotine Delivery SystemsSubstance-Related DisordersTobacco ProductsAdolescentAppalachian RegionChildHumansMarketingSmokingE-cigaretteMarketingPreventionPublic healthSubstance useTobaccoYouth

Identifiers

PMID33217687
PMCPMC8715723

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Registered trials

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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.