Evidence map›Paper›PMID 38183674›Full record

ArticleHealth education research2024

Adolescents' perceptions of substance use messaging in the age of social media: resolving cognitive dissonance.

Rhana Hashemi, Erin A Vogel

Abstract read
In one paragraph

Article in Health education research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Rhana HashemiDepartment of Medicine, Stanford Prevention Research Center, Stanford University, Stanford, CA 94305, USA.
Erin A VogelDepartment of Medicine, Stanford Prevention Research Center, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0002-7193-8720

Funding

Identifying and Addressing the Effects of Social Media Use on Young Adults' E-Cigarette Use: A Solutions-Oriented ApproachK01DA055073 · NIDA · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI Erin Alyssa Vogel · 2023 to 2026
$764k
NIDA NIH HHS K01 DA055073NIDA NIH HHS K01DA055073
6 · The paper itself

Abstract

This study interviewed adolescents about their exposure to and perceptions of substance-related social media content and substance use prevention messages. Participants (analytic sample N = 30, age 14-18 years, in CA, USA, 40% male) were recruited from Instagram and Facebook for online semi-structured interviews. An interview transcript coding guide was developed based on the interview questions and emerging themes. Most (27/30) participants reported exposure to peers using substances on social media through posts made on personal accounts. All peer posts portrayed substance use in a positive light. Most participants reported exposure to formal prevention messages on social media (i.e. public service announcements) (19/30) and in schools (i.e. drug education) (21/30; 70.0%) teaching the negative consequences of substance use. Responses to the differences between peer posts and prevention messages included dismissing prevention messages (7/30), believing that their peers were more credible (4/30), desiring comprehensive substance information (3/30) and believing that the no-use message was ineffective for at-risk youth (4/30). Messages shared by peers online significantly contrasted with prevention messages (i.e. public service announcements and drug education). This difference appeared to undermine prevention message credibility. Balanced prevention messages acknowledging the spectrum of risk and reward when using different substances may reduce dissonance and increase engagement.

Indexed as

Social MediaSubstance-Related DisordersAdolescentCognitive DissonanceFemaleHumansMale

Identifiers

PMID38183674
PMCPMC10805388

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.