Evidence map›Paper›PMID 31250830›Full record

ArticleJournal of medical Internet research2019

Mechanisms of Social Media Effects on Attitudes Toward E-Cigarette Use: Motivations, Mediators, and Moderators in a National Survey of Adolescents.

Hyunyi Cho, Wenbo Li, Lijiang Shen, Julie Cannon

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
17.5field-weighted citation impact, top 1% 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

27 citing papers in PubMed, 68 citations in OpenAlex.

  1. Trial
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  4. Tobacco Susceptibility and Use Among Rural Adolescents: The Role of Tobacco Marketing Exposure and Screen Media Use.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025
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  10. Young Adults' Exposure to and Engagement With Tobacco-Related Social Media Content and Subsequent Tobacco Use.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024
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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 at 3 institutions in 1 country.

Hyunyi ChoSchool of Communication, The Ohio State University, Columbus, OH, United States.ORCID 0000-0003-0980-0146
Wenbo LiSchool of Communication, The Ohio State University, Columbus, OH, United States.ORCID 0000-0003-0417-1758
Lijiang ShenDepartment of Communication Arts and Sciences, Pennsylvania State University, University Park, PA, United States.ORCID 0000-0003-4870-4878
Julie CannonDepartment of Communication, Cornell University, Ithaca, NY, United States.ORCID 0000-0001-9977-6594
The Ohio State University · USCornell University · USPennsylvania State University · US

Funding

Media Literacy Intervention for Indoor Tanning PreventionR01CA176196 · NCI · PURDUE UNIVERSITY · PI CHO, HYUNYI · 2014 to 2017
$1.3M
NCI NIH HHS R01 CA176196
6 · The paper itself

Abstract

backgroundExposure to risk behavior on social media is associated with risk behavior tendencies among adolescents, but research on the mechanisms underlying the effects of social media exposure is sparse.

objectiveThis study aimed to investigate the motivations of social media use and the mediating and moderating mechanisms of their effects on attitude toward electronic cigarette (e-cigarette) use among adolescents.

methodsUsing data from a national sample survey of adolescents (age=14-17 years, N=594), we developed and validated a social media use motivation scale. We examined the roles of motivations in the effect of social media use on risk exposure and risk attitude.

resultsMotivations for social media use included agency, self-expression, realism, social learning, social comparison, and filter. These motivations were associated differentially with the frequency of use of Facebook, Instagram, Snapchat, and YouTube. Frequency of social media use was positively associated with exposure to e-cigarette messages across the four platforms (Ps<.001). Exposure to e-cigarette messages on Instagram (P=.005) and Snapchat (P=.03) was positively associated with attitude toward e-cigarette use. Perceived social media realism moderated the effects of e-cigarette message exposure such that when realism was high, the exposure effect was amplified, but when realism was low, the effect was mitigated (P<.001). A three-way interaction effect (P=.02) among exposure, social learning motivation, and social norm on attitude toward e-cigarette use was found. When perceived social norm was high, the moderating effect of social learning motivation on e-cigarette use attitude was amplified, but when social norm was low, the social learning motivation effect was attenuated.

conclusionsBecause perceived social media realism moderates the effect of exposure to e-cigarette messages on attitude toward e-cigarette use, future intervention efforts should address the realism perceptions. The three-way interaction among exposure, social learning motivation, and social norm indicates the importance of addressing both the online and offline social environments of adolescents. The social media use motivation scale, reflecting perceived affordances, is broadly applicable. Understanding social media use motivations is important, as they indirectly influence attitude toward e-cigarette use via frequency of social media use and/or frequency of exposure to e-cigarette messages on social media.

Indexed as

AdolescentAttitudeElectronic Nicotine Delivery SystemsFemaleHumansMaleMotivationSocial MediaSurveys and QuestionnairesVapingadolescentsaffordancesagencye-cigarettesfiltermotivationrealismself-expressionsocial comparisonsocial learningsocial mediauses and gratifications

Identifiers

PMID31250830
PMCPMC6620891
OpenAlexW2954549946

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.