Evidence map›Paper›PMID 35867060›Full record

ArticleJAMA network open2022

Assessment of Patterns in e-Cigarette Use Among Adults in the US, 2017-2020.

Ellen Boakye, Ngozi Osuji, John Erhabor, Olufunmilayo Obisesan, Albert D Osei, Mohammadhassan Mirbolouk, Andrew C Stokes, Omar Dzaye, Omar El Shahawy, Glenn A Hirsch and 5 more

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 78 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed, 1 pooled it
13.4field-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

78 citing papers in PubMed, 1 synthesis or guideline pooled it, 121 citations in OpenAlex.

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  10. Longitudinal Electronic Cigarette Exposures Impair Respiratory Function and Structure in the Female Apoe-/- Mouse.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026
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18 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 7 institutions in 1 country.

Ellen BoakyeJohns Hopkins Ciccarone Center for Prevention of Cardiovascular Disease, Johns Hopkins School of Medicine, Baltimore, Maryland.
Ngozi OsujiJohns Hopkins Ciccarone Center for Prevention of Cardiovascular Disease, Johns Hopkins School of Medicine, Baltimore, Maryland.
John ErhaborJohns Hopkins Ciccarone Center for Prevention of Cardiovascular Disease, Johns Hopkins School of Medicine, Baltimore, Maryland.
Olufunmilayo ObisesanDepartment of Medicine, MedStar Union Memorial Hospital, Baltimore, Maryland.
Albert D OseiDepartment of Medicine, MedStar Union Memorial Hospital, Baltimore, Maryland.
Mohammadhassan MirboloukDepartment of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.
Andrew C StokesThe American Heart Association Tobacco Regulation and Addiction Center, Dallas, Texas.
Omar DzayeJohns Hopkins Ciccarone Center for Prevention of Cardiovascular Disease, Johns Hopkins School of Medicine, Baltimore, Maryland.
Omar El ShahawyThe American Heart Association Tobacco Regulation and Addiction Center, Dallas, Texas.
Glenn A HirschThe American Heart Association Tobacco Regulation and Addiction Center, Dallas, Texas.
Emelia J BenjaminThe American Heart Association Tobacco Regulation and Addiction Center, Dallas, Texas.
Andrew P DeFilippisThe American Heart Association Tobacco Regulation and Addiction Center, Dallas, Texas.
Rose Marie RobertsonThe American Heart Association Tobacco Regulation and Addiction Center, Dallas, Texas.
Aruni BhatnagarThe American Heart Association Tobacco Regulation and Addiction Center, Dallas, Texas.
Michael J BlahaJohns Hopkins Ciccarone Center for Prevention of Cardiovascular Disease, Johns Hopkins School of Medicine, Baltimore, Maryland.
American Heart Association · USJohns Hopkins University · USBoston University · USMedStar Union Memorial Hospital · USNew York University · USVanderbilt University Medical Center · USYale University · US

Funding

Novel Methods for Evaluating the Association of Electronic Cigarette Use with Cardiovascular HealthK01HL154130 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI STOKES, ANDREW · 2020 to 2024
$904k
NHLBI NIH HHS K01 HL154130
6 · The paper itself

Abstract

Importance: Updated data on the patterns of e-cigarette use among adults in the US are needed. Objective: To examine recent patterns in current and daily e-cigarette use among US adults. Design, Setting, and Participants: This repeated cross-sectional study used data from the 2017, 2018, and 2020 Behavioral Risk Factor Surveillance System, a nationally representative state-based survey of noninstitutionalized US adults. A total of 994 307 adults 18 years and older who were living in states and territories that provided data on e-cigarette use in 2017 (53 states and territories), 2018 (36 states and Guam), and 2020 (42 states and Guam) were included. Main Outcomes and Measures: The weighted prevalence of current (past 30 days) and daily e-cigarette use was estimated for each year, and changes in prevalence from 2017 to 2020 were assessed, first overall and then stratified by participant characteristics, including state or territory of residence. Results: Among 994 307 adults from states with data on e-cigarette use, 429 370 individuals (weighted 51.3% female) were participants in the 2017 survey, 280 184 (weighted 52.1% female) were participants in the 2018 survey, and 284 753 (weighted 52.1% female) were participants in the 2020 survey. The weighted proportions of young adults aged 18 to 24 years were 12.6% in 2017, 11.8% in 2018, and 11.9% in 2020. Across all 3 years, 17 035 participants (weighted, 1.0%) were American Indian or Alaska Native, 22 313 (weighted, 4.6%) were Asian, 75 780 (weighted, 12.2%) were Black, 72 190 (weighted, 15.1%) were Hispanic, 4817 (weighted, 0.2%) were Native Hawaiian, 757 140 (weighted, 65.1%) were White, 20 332 (weighted, 1.3%) were multiracial, and 6245 (weighted, 0.5%) were of other races and/or ethnicities. The prevalence of current e-cigarette use was 4.4% (95% CI, 4.3%-4.5%) in 2017, which increased to 5.5% (95% CI, 5.4%-5.7%) in 2018 and decreased slightly to 5.1% (95% CI, 4.9%-5.3%) in 2020. The recent decrease, though modest, was observed mainly among young adults aged 18 to 20 years (from 18.9% [95% CI, 17.2%-20.7%] to 15.6% [95% CI, 14.1%-17.1%]; P = .004). However, the prevalence of daily e-cigarette use increased consistently from 1.5% (95% CI, 1.4%-1.6%) in 2017 to 2.1% (95% CI, 2.0%-2.2%) in 2018 and 2.3% (95% CI, 2.2%-2.4%) in 2020. Among young adults aged 21 to 24 years, there was a slight, albeit insignificant, increase in the prevalence of current e-cigarette use (from 13.5% [95% CI, 12.3%-14.7%] to 14.5% [95% CI, 13.2%-15.9%]; P = .28) but a significant increase in the prevalence of daily e-cigarette use (from 4.4% [95% CI, 3.8%-5.1%] to 6.6% [95% CI, 5.6%-7.6%]; P < .001) between 2018 and 2020. State-level patterns in the prevalence of current e-cigarette use were heterogeneous, with states like Massachusetts (from 5.6% [95% CI, 4.8%-6.5%] to 4.1% [95% CI, 3.1%-5.3%]; P = .03) and New York (from 5.4% [95% CI, 4.9%-5.9%] to 4.1% [95% CI, 3.5%-4.7%]; P = .001) recording significant decreases between 2018 and 2020. In contrast, Guam (from 5.9% [95% CI, 4.5%-7.9%] to 11.4% [95% CI, 8.7%-14.8%]; P = .002) and Utah (from 6.1% [95% CI, 5.5%-6.7%] to 7.2% [95% CI, 6.5%-8.0%]; P = .02) recorded significant increases in current e-cigarette use over the same period. Conclusions and Relevance: In this study, a slight decrease in the prevalence of current e-cigarette use was found between 2018 and 2020; this decrease was mainly observed among young adults aged 18 to 20 years. In contrast, daily e-cigarette use consistently increased, particularly among young adults aged 21 to 24 years. This increase in daily use suggests greater nicotine dependence among those who use e-cigarettes, warranting continued surveillance.

Indexed as

Electronic Nicotine Delivery SystemsTobacco Use DisorderVapingBehavioral Risk Factor Surveillance SystemCross-Sectional StudiesFemaleHumansMaleYoung Adult

Identifiers

PMID35867060
PMCPMC9308055
OpenAlexW4286561551

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.