Evidence map›Paper›PMID 36342713›Full record

ArticleJAMA network open2022

Nicotine Addiction and Intensity of e-Cigarette Use by Adolescents in the US, 2014 to 2021.

Stanton Glantz, Abra Jeffers, Jonathan P Winickoff

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 1 pooled it
11.3field-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

61 citing papers in PubMed, 1 synthesis or guideline pooled it, 100 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Stable angina in young women.European heart journal · 2026
    Review
  7. What is the Addictive Potential from Vaping?Nordisk alkohol- & narkotikatidskrift : NAT · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
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  16. Article
  17. Review
  18. Article
  19. Methods for Vaping Cessation Among Young Adults in Southern California.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025
    Article
  20. Article

1 more citing papers are in PubMed but not listed here.

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

3 authors at 1 institution in 1 country.

Stanton GlantzRetired, San Francisco, California.
Abra JeffersDivision of General Academic Pediatrics, Massachusetts General Hospital for Children, Boston.
Jonathan P WinickoffDivision of General Academic Pediatrics, Massachusetts General Hospital for Children, Boston.
Massachusetts General Hospital · US

Funding

Electronic Pediatric Office Systems to Support Treatment for Parental Tobacco UseR01CA245145 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI FIKS, ALEXANDER GABRIEL, WINICKOFF, JONATHAN P · 2020 to 2024
$4.7M
Assessment of Biomarkers in Children to Help Parents Quit TobaccoR01CA248742 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI WINICKOFF, JONATHAN P · 2020 to 2025
$4.6M
NCI NIH HHS R01 CA245145NCI NIH HHS R01 CA248742
6 · The paper itself

Abstract

Importance: As e-cigarettes have become more effective at delivering the addictive drug nicotine, they have become the dominant form of tobacco use by US adolescents. Objective: To measure intensity of use of e-cigarettes, cigarettes, and other tobacco products among US adolescents and their dependence level over time. Design, Setting, and Participants: This survey study analyzed the cross-sectional National Youth Tobacco Surveys from 2014 to 2021. Confirmatory analysis was conducted using Youth Behavioral Risk Factor Surveillance System from 2015 to 2019. The surveys were administered to national probability samples of US students in grades 6 to 12. Exposures: Use of e-cigarettes and other tobacco products before and after the introduction of e-cigarettes delivering high levels of nicotine. Main Outcomes and Measures: First tobacco product used, age at initiation of use, intensity of use (days per month), and nicotine addiction (measured as time after waking to first use of any tobacco product). Results: A total of 151 573 respondents were included in the analysis (51.1% male and 48.9% female; mean [SEM] age, 14.57 [0.03] years). Prevalence of e-cigarette use peaked in 2019 and then declined. Between 2014 and 2021, the age at initiation of e-cigarette use decreased, and intensity of use and addiction increased. By 2017, e-cigarettes became the most common first product used (77.0%). Age at initiation of use did not change for cigarettes or other tobacco products, and changes in intensity of use were minimal. By 2019, more e-cigarette users were using their first tobacco product within 5 minutes of waking than for cigarettes and all other products combined. Median e-cigarette use also increased from 3 to 5 d/mo in 2014 to 2018 to 6 to 9 d/mo in 2019 to 2020 and 10 to 19 d/mo in 2021. Conclusions and Relevance: The changes detected in this survey study may reflect the higher levels of nicotine delivery and addiction liability of modern e-cigarettes that use protonated nicotine to make nicotine easier to inhale. The increasing intensity of use of modern e-cigarettes highlights the clinical need to address youth addiction to these new high-nicotine products over the course of many clinical encounters. In addition, stronger regulation, including comprehensive bans on the sale of flavored tobacco products, should be implemented.

Indexed as

Electronic Nicotine Delivery SystemsTobacco Use DisorderVapingAdolescentCross-Sectional StudiesFemaleHumansMaleNicotineNicotine

Identifiers

PMID36342713
PMCPMC9641541
OpenAlexW4308434414

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.