Evidence map›Paper›PMID 34194963›Full record

ArticlePreventive medicine reports2021

JUUL and other e-cigarettes: Socio-demographic factors associated with use and susceptibility in California.

Shivani Mathur Gaiha, Bonnie Halpern-Felsher, Ashley L Feld, Jennifer Gaber, Todd Rogers, Lisa Henriksen

Abstract read
In one paragraph

Article in Preventive medicine reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Barriers, facilitators, and best practices for successful vaping prevention campaigns for sexual and gender minority youth.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2025
    Article
  4. Article
  5. A Scoping Review of Vaping Among the Asian Adolescent Population.Asia-Pacific journal of public health · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. 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.

Shivani Mathur GaihaStanford University School of Medicine, Palo Alto, CA, United States.
Bonnie Halpern-FelsherStanford University School of Medicine, Palo Alto, CA, United States.
Ashley L FeldRTI International, Research Triangle Park, NC, United States.
Jennifer GaberRTI International, Research Triangle Park, NC, United States.
Todd RogersRTI International, Research Triangle Park, NC, United States.
Lisa HenriksenStanford University School of Medicine, Palo Alto, CA, United States.

Funding

PROJECT 5: IMPACT OF CHANGING TOBACCO PRODUCT USE ON HEALTHCARE COSTS FOR GENERAL AND VULNERABLE POPULATIONSU54HL147127 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LING, PAMELA MAY · 2018 to 2022
$20.4M
Retail Environment for Tobacco and Marijuana in California: Impact on College Student UseR01CA217165 · NCI · STANFORD UNIVERSITY · PI HENRIKSEN, LISA ANNE · 2018 to 2023
$2.7M
NCI NIH HHS R01 CA217165NHLBI NIH HHS U54 HL147127
6 · The paper itself

Abstract

This study examined which socio-demographic factors are associated with susceptibility (lack of commitment to avoid future use), past-12-month and past-30-day use of JUUL and other e-cigarettes, and reasons for and against using JUUL. An online survey of 3,075 Californians ages 15-29, including 24.3% who identified as LGBTQ, were recruited via social media in January-March 2019. Multi-level weighted logistic regression models suggest that LGBTQ participants were more likely to be susceptible to JUUL [AOR = 2.11 (1.60, 2.79) (parentheses include 95% Confidence Intervals)] and other e-cigarettes [AOR = 2.31 (1.75, 3.05)], and more likely to use JUUL [AOR = 1.27 (1.02, 1.58)] and other e-cigarettes [AOR = 1.66 (1.35, 2.05)] in the past 12 months. Susceptibility to using JUUL was more likely among adolescents (ages 15-17) [AOR = 1.72 (1.30, 2.28)] and young adults (ages 18-20) [AOR = 1.26 (1.00,1.58)] than adults (ages 21-29). At the community level, living in jurisdictions with higher median household income was associated with a higher likelihood of being susceptible to using JUUL and other e-cigarettes. Compared to non-Hispanic Whites, Asian/Pacific Islanders were less likely to use JUUL [AOR = 0.68 (0.54, 0.86)] and other e-cigarettes [AOR = 0.60 (0.48, 0.76)] in the past 12 months. Past-30-day JUUL use was more likely among males than females [AOR = 1.44 (1.11, 1.88)]. Common reasons for using JUUL were: friends' use, flavors, "safer" than cigarettes, no one will notice, and nicotine rush is greater than other devices. Common reasons against using JUUL were: harmful to self/others, contains nicotine and is addictive. E-cigarette prevention and cessation efforts should include tailored messaging for people who identify as LGBTQ and reinforce reasons for not vaping nicotine.

Indexed as

E-cigarettesJUULLGBTQRace/ethnicitySocio-demographicsSusceptibility

Identifiers

PMID34194963
PMCPMC8227835

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.