Evidence map›Paper›PMID 32911352›Full record

ArticleAddictive behaviors2021

Social media's influence on e-cigarette use onset and escalation among young adults: What beliefs mediate the effects?

Pallav Pokhrel, Claire Ing, Crissy T Kawamoto, Linnea Laestadius, Wayne Buente, Thaddeus A Herzog

Open access · greenAbstract read
In one paragraph

Article in Addictive behaviors, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
3.1field-weighted citation impact, top 7% 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

29 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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
  5. Article
  6. Article
  7. Review
  8. Article
  9. Vaping: Public Health, Social Media, and Toxicity.Online journal of public health informatics · 2024
    Article
  10. Article
  11. Using Computer Vision to Detect E-cigarette Content in TikTok Videos.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024
    Article
  12. 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
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Health Communication through Chinese Media on E-Cigarette: A Topic Modeling Approach.International journal of environmental research and public health · 2022
    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 3 institutions in 1 country.

Pallav PokhrelCancer Prevention in the Pacific, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI, United States. Electronic address: ppokhrel@cc.hawaii.edu.
Claire IngDepartment of Native Hawaiian Health, University of Hawaii at Manoa, Honolulu, HI, United States.
Crissy T KawamotoCancer Prevention in the Pacific, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI, United States.
Linnea LaestadiusJoseph J. Zilber School of Public Health, University of Wisconsin-Milwaukee, Milwaukee WI53205, United States.
Wayne BuenteSchool of Communications, University of Hawaii at Manoa, Honolulu, HI, United States.
Thaddeus A HerzogCancer Prevention in the Pacific, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI, United States.
University of Hawaiʻi at Mānoa · USUniversity of Hawaii System · USUniversity of Wisconsin–Milwaukee · US

Funding

The KaHOLO Project: Preventing Cardiovascular Disease in Native HawaiiansR01HL126577 · NHLBI · UNIVERSITY OF HAWAII AT MANOA · PI KAHOLOKULA, JOSEPH KEAWE'AIMOKU · 2015 to 2019
$3.9M
Prospective effects of electronic cigarette marketing on expectancies and behaviorR01CA202277 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI POKHREL, PALLAV · 2016 to 2020
$2.6M
Social Processes of E-cigarette Marketing's Influence on BehaviorR01CA228905 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI POKHREL, PALLAV · 2018 to 2020
$1.4M
Systems Science Informed Multilevel Theoretical Model of Cardiovascular Health in Native HawaiiansK01HL146930 · NHLBI · UNIVERSITY OF HAWAII AT MANOA · PI ING, CLAIRE TOWNSEND · 2019 to 2023
$986k
NCI NIH HHS R01 CA202277NCI NIH HHS R01 CA228905NHLBI NIH HHS K01 HL146930NHLBI NIH HHS R01 HL126577
6 · The paper itself

Abstract

As an extension of a previous cross-sectional study, this study employed prospective data to test positive outcome expectancy beliefs as mediators of social media's influence on e-cigarette use progression among young adults. Self-report data were collected from 2327 young adult college students (Mean age = 21.2; SD = 2.1; 54% women) between 2017 and 2019, every 6-month, at 3 time-points. Structural equation modeling was used to test the mediational models. Among baseline never e-cigarette users, higher affect regulation expectancies-e.g., beliefs that e-cigarette use results in feeling good, reduced boredom and stress-mediated the effects of higher baseline social media e-cigarette exposure on e-cigarette use onset one year later. Among baseline lifetime e-cigarette users, higher positive sensory, positive "smoking" experience, and affect regulation expectancy beliefs mediated the effects of higher social media e-cigarette exposure at baseline on increased current e-cigarette use one year later. E-cigarette content on social media may persuade young adults to try e-cigarettes by imparting the sense that e-cigarettes make one feel good and help reduce stress. E-cigarette content on social media that promote e-cigarette flavors and e-cigarettes as cleaner and a socially more acceptable alternative to cigarettes may work to escalate e-cigarette use among experimenters. Efforts to prevent e-cigarette use onset and escalation may need to target the outcome expectancy beliefs influenced by social media.

Indexed as

Electronic Nicotine Delivery SystemsSocial MediaVapingAdultCross-Sectional StudiesFemaleHumansMaleProspective StudiesYoung AdultE-cigarettesOutcome expectanciesSocial mediaYoung adults

Identifiers

PMID32911352
PMCPMC7885807
OpenAlexW3053808107

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.