Evidence map›Paper›PMID 30365010›Full record

Observational studyNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2019

Dual Users Compared to Smokers: Demographics, Dependence, and Biomarkers.

Megan E Piper, Timothy B Baker, Neal L Benowitz, Kate H Kobinsky, Douglas E Jorenby

Abstract readComparative StudyObservational Study
In one paragraph

Observational study in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing 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

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

  1. Pooled it
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  3. Evaluation of Dual Use: Real Time Reductions in Combustible Cigarette Smoking During Co-Occurring Use of E-Cigarettes.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025
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  12. Continuous associations of the brief Wisconsin Inventory of Smoking Dependence Motives with transitions between cigarette and e-cigarette use.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026
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  14. Identifying Latent Classes of Dual Cigarette/ENDS Users Based on Motivations for ENDS Use: Product Substitution Versus Complementary Use.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026
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  15. Urinary Tobacco and Nicotine Exposure Biomarkers as Predictors of Transitions between Cigarette and e-Cigarette Use in the Exhale Longitudinal Cohort Study.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026
    Observational
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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

5 authors.

Megan E PiperCenter for Tobacco Research and Intervention, Department of Medicine, School of Medicine and Public Health, University of Wisconsin, Madison, WI.
Timothy B BakerCenter for Tobacco Research and Intervention, Department of Medicine, School of Medicine and Public Health, University of Wisconsin, Madison, WI.
Neal L BenowitzCenter for Tobacco Control Research and Education, Department of Medicine, University of California San Francisco, San Francisco, CA.
Kate H KobinskyCenter for Tobacco Research and Intervention, Department of Medicine, School of Medicine and Public Health, University of Wisconsin, Madison, WI.
Douglas E JorenbyCenter for Tobacco Research and Intervention, Department of Medicine, School of Medicine and Public Health, University of Wisconsin, Madison, WI.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe availability of electronic cigarettes (e-cigarettes) has profoundly changed the tobacco product landscape. In the United States, almost 6 million adults use both combustible and e-cigarettes (ie, dual users). The goal of this study was to understand how smokers and dual users differ in terms of demographics, cigarette dependence, and exposure to carcinogens.

methodsAn observational cohort (smokers, n = 166, ≥5 cigarettes/day for 6 months and no e-cigarette use in 3 months; dual users, n = 256, smoked daily for 3 months and used e-cigarettes at least once/week for the past 3 months) completed baseline assessments of demographics, tobacco use, and dependence. They also provided breath samples for carbon monoxide (CO) assay and urine samples for cotinine, 3-hydroxycotinine, and 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL) assays.

resultsCompared to smokers, dual users (mean e-cigarette use = 5.5 days/week [SD = 1.9]) were significantly younger and more likely to be white, have more education, report a history of psychiatric co-morbidity, and smoke fewer cigarettes per day. There were no differences in CO, cotinine, or 3-hydroxycotinine levels; however, dual users had significantly lower levels of NNAL than did smokers. Most smokers and dual users had no plans to quit smoking within the next year; 91% of dual users planned to continue using e-cigarettes for at least the next year.

conclusionsIn this community sample, dual users are supplementing their smoking with e-cigarette use. Dual users, versus smokers, smoked fewer cigarettes per day and delayed their first cigarette of the day, but did not differ in quitting intentions. IMPLICATIONS: This comparison of a community sample of established dual users and exclusive smokers addresses key questions of dependence and health risks of dual use in real-world settings. Dual users were more likely to be white, younger, have more than a high school education and have a psychiatric history. Dual users also smoked significantly fewer cigarettes and had lower levels of NNAL (a carcinogen), but they did not differ from exclusive smokers in CO or cotinine levels, suggesting that they supplemented their nicotine intake via e-cigarettes.

Indexed as

Electronic Nicotine Delivery SystemsAdultAge FactorsCigarette SmokingCohort StudiesDemographyFemaleHumansLongitudinal StudiesMaleMiddle AgedSmokersSmoking CessationSocioeconomic FactorsTobacco ProductsTobacco Use Disorder

Identifiers

PMID30365010
PMCPMC7182769

What OpenQuestion holds

Textmetadata
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.