Evidence map›Paper›PMID 38150895›Full record

ArticleDrug and alcohol dependence2024

Symptoms of nicotine dependence by e-cigarette and cigarette use behavior and brand: A population-based, nationally representative cross-sectional study.

Abigail Adjei, Baojiang Chen, Dale S Mantey, Anna V Wilkinson, Melissa B Harrell

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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. What is the Addictive Potential from Vaping?Nordisk alkohol- & narkotikatidskrift : NAT · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Observational
  6. Article
  7. Article
  8. 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

5 authors.

Abigail AdjeiUniversity of Texas Health Science Center at Houston (UTHealth), School of Public Health, Austin, TX, United States. Electronic address: Abigail.Adjei@uth.tmc.edu.
Baojiang ChenUniversity of Texas Health Science Center at Houston (UTHealth), School of Public Health, Austin, TX, United States.
Dale S ManteyUniversity of Texas Health Science Center at Houston (UTHealth), School of Public Health, Austin, TX, United States.
Anna V WilkinsonUniversity of Texas Health Science Center at Houston (UTHealth), School of Public Health, Austin, TX, United States.
Melissa B HarrellUniversity of Texas Health Science Center at Houston (UTHealth), School of Public Health, Austin, TX, United States.

Funding

ENDS use trajectories from adolescence through young adulthood: A longitudinal study of risk factors and profilesR01CA239097 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI HARRELL, MELISSA BLYTHE · 2019 to 2023
$3.3M
NCI NIH HHS R01 CA239097
6 · The paper itself

Abstract

backgroundMany modern e-cigarette brands contain equivalent or higher nicotine levels than traditional cigarettes.

objectiveTo examine differences in four nicotine dependence indicators (i.e., use within 30minutes of waking, cravings, needing to use, and frequent use) among adolescents (aged 12-17 years) with past 30-day (P30D) exclusive use of e-cigarettes, cigarettes, or dual use of both.

methodsData were from Wave 5 (2018-2019) of the Population Assessment of Tobacco and Health (PATH) study (n=1060; N=2053,659). Multivariable logistic regression was performed to determine differences in indicators by P30D e-cigarette and cigarette use behavior (exclusive vs. dual use) and brand (e-cigarette use: JUUL vs. non-JUUL vs. Unknown).

resultsThe odds of frequent use among adolescents with JUUL (AOR: 2.11; 95% CI=1.02-4.37) and non-JUUL (AOR: 2.12; 95% CI=0.95-4.77) use were similar and paralleled that for dual use (AOR: 3.50; 95% CI=1.46-8.43) but were stronger (JUUL only) than exclusive cigarette use. The odds of using within 30minutes of waking for adolescents with JUUL (AOR: 2.23; 95% CI=0.80-6.25) and non-JUUL (AOR:1.42; 95% CI=0.47-4.32) use were similar and paralleled that for both dual (AOR=3.00; 95% CI=1.01-8.88) and exclusive cigarette use. For adolescents who used unknown brands, the odds of all indicators paralleled exclusive cigarette use but were lower than JUUL, non-JUUL, and dual use.

conclusionCompared to exclusive cigarette use, symptoms of nicotine dependence are similar for adolescents with exclusive e-cigarette use, irrespective of brand. Symptoms of nicotine dependence for JUUL and non-JUUL use parallel dual use. Tobacco regulation should consider these findings when assessing the abuse liability of e-cigarettes.

Indexed as

Electronic Nicotine Delivery SystemsTobacco ProductsTobacco Use DisorderVapingAdolescentCross-Sectional StudiesHumansResearch DesignAdolescentsCigarette useDual useE-cigarette brandJUULNicotine Dependence

Identifiers

PMID38150895
PMCPMC12239219

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.