Evidence map›Paper›PMID 35913015›Full record

ArticleAddiction (Abingdon, England)2022

Prospective association between e-cigarette use frequency patterns and cigarette smoking abstinence among adult cigarette smokers in the United States.

Alyssa F Harlow, Andrew C Stokes, Daniel R Brooks, Emelia J Benjamin, Adam M Leventhal, Rob S McConnell, Jessica L Barrington-Trimis, Craig S Ross

Open access · hybridAbstract read
PubMed Publisher
In one paragraph

Article in Addiction (Abingdon, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
1.9field-weighted citation impact, top 14% 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 17 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Alyssa F HarlowUniversity of Southern California, Department of Population and Public Health Sciences, Institute for Addiction Science, Los Angeles, CA, USA.ORCID 0000-0001-6744-6988
Andrew C StokesDepartment of Global Health, Boston University School of Public Health, Boston, MA, USA.ORCID 0000-0002-8502-3636
Daniel R BrooksDepartment of Epidemiology, Boston University School of Public Health, Boston, MA, USA.
Emelia J BenjaminDepartment of Epidemiology, Boston University School of Public Health, Boston, MA, USA.ORCID 0000-0003-4076-2336
Adam M LeventhalUniversity of Southern California, Department of Population and Public Health Sciences, Institute for Addiction Science, Los Angeles, CA, USA.ORCID 0000-0002-1217-525X
Rob S McConnellUniversity of Southern California, Department of Population and Public Health Sciences, Institute for Addiction Science, Los Angeles, CA, USA.
Jessica L Barrington-TrimisUniversity of Southern California, Department of Population and Public Health Sciences, Institute for Addiction Science, Los Angeles, CA, USA.ORCID 0000-0002-3331-0326
Craig S RossDepartment of Epidemiology, Boston University School of Public Health, Boston, MA, USA.ORCID 0000-0002-6831-6023
Boston University · USUniversity of Southern California · US

Funding

USC Tobacco Center of Regulatory ScienceU54CA180905 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Raina Pang · 2018 to 2026
$39.0M
ConProject-006U54HL120163 · NHLBI · AMERICAN HEART ASSOCIATION · PI BHATNAGAR, ARUNI, ROBERTSON, ROSE MARIE · 2018 to 2022
$18.8M
Vaping Nicotine and Cannabis Across Adolescence and Young AdulthoodR01CA229617 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BARRINGTON-TRIMIS, JESSICA LOUISE, LEVENTHAL, ADAM MATTHEW · 2019 to 2024
$4.3M
Tobacco Use Treatment Research for Vulnerable PopulationsK24DA048160 · NIDA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Adam Matthew Leventhal · 2019 to 2026
$1.4M
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
NCI NIH HHS R01 CA229617NCI NIH HHS U54 CA180905NHLBI NIH HHS K01 HL154130NHLBI NIH HHS U54 HL120163NIDA NIH HHS K24 DA048160
6 · The paper itself

Abstract

aimsTo estimate the association of longitudinal patterns of e-cigarette use with cigarette smoking abstinence, after accounting for time-dependent confounding and selection bias.

designSecondary analysis of longitudinal national cohort data. Using marginal structural models and four waves of the population assessment of tobacco and health (wave 1, 2013-14; wave 2, 2014-15; wave 3, 2015-16; wave 4, 2016-18), we estimated the association of vaping frequency across waves 2 and 3 with 12-month sustained cigarette smoking abstinence at wave 4, adjusting for time-dependent confounders at waves 1 and 2 and selection bias due to drop-out with inverse probability of treatment and censoring weights.

settingUnited States. PARTICIPANTS/CASES: A total of 5699 adults (18+ years) who smoked cigarettes and did not vape at wave 1. MEASUREMENTS: The exposure was vaping frequency at waves 2 and 3 (non-use, non-daily use, daily use), representing nine possible combinations of vaping frequency across two waves. Non-use at both waves was the exposure reference group. The primary outcome was sustained 12-month cigarette smoking abstinence at wave 4.

findingsAmong 5699 adults who smoked cigarettes at wave 1, a total of 560 (9.8%) reported smoking abstinence at wave 4. Compared with nonuse at both waves, daily vaping at both waves [risk ratio (RR) = 3.82, 95% confidence interval (CI) = 2.59-5.64] and non-use at wave 2 followed by daily vaping at wave 3 (RR = 2.50, 95% CI = 1.66-3.77) were positively associated with smoking abstinence; non-daily vaping at both waves was inversely associated with smoking abstinence (RR = 0.28, 95% CI = 0.11-0.75). Results persisted after accounting for misclassification of e-cigarette use and cigarette smoking abstinence and after restricting to participants with plans to quit smoking.

conclusionsIn a US cohort of adult smokers, longitudinal patterns of vaping frequency appear to predict smoking abstinence, even after accounting for several sources of systematic error. Consistent daily vaping is associated with increased chances of cigarette smoking abstinence, while consistent non-daily vaping is associated with decreased chances of smoking abstinence.

Indexed as

Cigarette SmokingElectronic Nicotine Delivery SystemsSmoking CessationTobacco ProductsVapingAdultHumansSmokersUnited StatesConfoundinge-cigarettesmarginal structural modelsmisclassificationselection biassmoking cessationvaping

Identifiers

PMID35913015
OpenAlexW4289223916

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.