Evidence map›Paper›PMID 38134543›Full record

ArticleDrug and alcohol dependence2024

Sociodemographic differences in use of nicotine, cannabis, and non-nicotine E-cigarette devices.

Devin Malloy McCauley, Michael Baiocchi, Shivani Mathur Gaiha, Bonnie Halpern-Felsher

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Trends and Sociodemographic Differences in Tobacco/Nicotine Transitions Among U.S. Adolescents and Young Adults Using e-cigarettes, 2014-2023.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2025
    Article
  5. Article
  6. Article
  7. 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

4 authors.

Devin Malloy McCauleyREACH Lab, Division of Adolescent Medicine, Department of Pediatrics, Stanford University, Palo Alto, CA, 94304, United States.
Michael BaiocchiDepartment of Epidemiology and Population Health, Stanford University, Palo Alto, CA 94304, United States.
Shivani Mathur GaihaREACH Lab, Division of Adolescent Medicine, Department of Pediatrics, Stanford University, Palo Alto, CA, 94304, United States.
Bonnie Halpern-FelsherREACH Lab, Division of Adolescent Medicine, Department of Pediatrics, Stanford University, Palo Alto, CA, 94304, United States. Electronic address: bonnie.halpernfelsher@stanford.edu.

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
Countering E-cigarette Marketing in the Retail Environment among Adolescents and Young AdultsR00CA267477 · NCI · BOSTON CHILDREN'S HOSPITAL · PI SHIVANI MATHUR GAIHA · 2024 to 2026
$738k
Countering E-cigarette Marketing in the Retail Environment among Adolescents and Young AdultsK99CA267477 · NCI · STANFORD UNIVERSITY · PI GAIHA, SHIVANI MATHUR · 2021 to 2023
$442k
NCI NIH HHS K99 CA267477NCI NIH HHS R00 CA267477NHLBI NIH HHS U54 HL147127
6 · The paper itself

Abstract

backgroundSociodemographic differences in e-cigarette use have been documented; however, disparities in use of specific e-cigarette types with various ingredients have yet to be thoroughly investigated. This study examines ever- and past-30-day-use of nicotine, cannabis, and non-nicotine e-cigarette device types by sex, sexual orientation, race/ethnicity, and financial comfort.

methodsData were drawn from a 2021 national cross-sectional survey of adolescents, young adults, and adults (N = 6131, ages 13-40 years old). Participants reported ever and past-30-day-use of (1) disposable nicotine e-cigarettes, (2) pod/cartridge-based nicotine e-cigarettes, (3) "other" nicotine e-cigarettes, (4) non-nicotine e-cigarettes, (5) e-cigarettes with THC, and (6) e-cigarettes with CBD. We constructed summary tables for each e-cigarette device type in which percentages of ever and past-30-day-use were calculated by birth year category and sociodemographic variables: (a) sex, (b) sexual orientation, (c) race/ethnicity, and (d) financial comfort.

resultsFemales born between 1996 and 2008 reported higher rates of past-30-day disposable e-cigarette use relative to males (females 26.4%; males 22.4%). Compared to their heterosexual counterparts, LGBTQ+ participants reported higher overall rates of past-30-day-use for disposable (LGBTQ+ 27.9%; Heterosexual 23.8%), THC (LGBTQ+ 30.8%; Heterosexual 24.1%), and CBD e-cigarettes (LGBTQ+ 20.0%; Heterosexual 16.9%). Hispanic/Latino participants generally reported higher rates of past-30-day-use across device types relative to those identifying as Black or White non-Hispanic, particularly disposable nicotine e-cigarettes.

conclusionsFindings highlight sociodemographic disparities in e-cigarette use, though differences varied based on e-cigarette device type and participant birth year category. Tailored preventive efforts may be necessary to mitigate e-cigarette use among populations at highest risk.

Indexed as

CannabisElectronic Nicotine Delivery SystemsHallucinogensTobacco ProductsVapingAdolescentAdultCross-Sectional StudiesFemaleHumansMaleNicotineYoung AdultHallucinogensNicotineAdolescentsCannabisE-cigarettesSociodemographic differencesYoung adults

Identifiers

PMID38134543
PMCPMC10949227

What OpenQuestion holds

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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.