Evidence map›Paper›PMID 30222189›Full record

ArticleAlcoholism, clinical and experimental research2018

Electronic Cigarette Use and Risk of Harmful Alcohol Consumption in the U.S. Population.

Walter Roberts, Kelly E Moore, MacKenzie R Peltier, Terril L Verplaetse, Lindsay Oberleitner, Robyn Hacker, Sherry A McKee

Abstract read
In one paragraph

Article in Alcoholism, clinical and experimental research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 9% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

  1. Pooled it
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  11. Addiction-Related Outcomes of Nicotine and Alcohol Co-use: New Insights Following the Rise in Vaping.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2022
    Review
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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

7 authors at 1 institution in 1 country.

Walter RobertsDepartment of Psychiatry, Yale School of Medicine, New Haven, Connecticut.ORCID 0000-0001-6817-884X
Kelly E MooreDepartment of Psychiatry, Yale School of Medicine, New Haven, Connecticut.ORCID 0000-0003-3835-7358
MacKenzie R PeltierDepartment of Psychiatry, Yale School of Medicine, New Haven, Connecticut.
Terril L VerplaetseDepartment of Psychiatry, Yale School of Medicine, New Haven, Connecticut.ORCID 0000-0002-2531-6656
Lindsay OberleitnerDepartment of Psychiatry, Yale School of Medicine, New Haven, Connecticut.
Robyn HackerDepartment of Psychiatry, Yale School of Medicine, New Haven, Connecticut.
Sherry A McKeeDepartment of Psychiatry, Yale School of Medicine, New Haven, Connecticut.
Yale University · US

Funding

Yale SCOR on Gender-Sensitive Treatment for Tobacco DependenceP50DA033945 · NIDA · YALE UNIVERSITY · PI MCKEE, SHERRY ANN · 2012 to 2017
$6.5M
Research Training Fellowship in Substance use and Addiction (RTFSA)T32DA007238 · NIDA · YALE UNIVERSITY · PI BRIAN D. KILUK, ISMENE L. PETRAKIS · 1988 to 2026
$5.7M
Does Guanfacine, an alpha2 adrenergic agonist, attenuate stress-induced drinking?R01AA022285 · NIAAA · YALE UNIVERSITY · PI MCKEE, SHERRY ANN · 2014 to 2017
$1.5M
NIAAA NIH HHS R01 AA022285NIDA NIH HHS P50 DA033945NIDA NIH HHS T32 DA007238
6 · The paper itself

Abstract

backgroundElectronic cigarette (e-cigarette) use is an increasingly common method of nicotine delivery in the general population. It is well-established that tobacco users are at increased risk to engage in hazardous drinking and meet criteria for alcohol use disorder (AUD) relative to nonusers. Less is known, however, about the risk of harmful alcohol use among people who use e-cigarettes. The current study reports on the association between e-cigarette and alcohol use in the U.S. population using a nationally representative sample.

methodsData from 36,309 adults who participated in the National Epidemiologic Survey on Alcohol and Related Conditions-Wave III were included in the study. The Alcohol Use Disorder and Associated Disabilities Interview Schedule (AUDADIS) measured past-year e-cigarette and alcohol use outcomes. Based on past-year e-cigarette use, respondents were categorized as nonusers, nondaily users, or daily users. Alcohol use outcomes were drinking quantity/frequency, binge drinking frequency, AUD diagnostic status, and National Institute on Alcohol Abuse and Alcoholism-defined hazardous drinking status.

resultsControlling for demographic characteristics, daily and nondaily e-cigarette users showed increased risk of harmful alcohol use compared to e-cigarette nonusers, including hazardous drinking (adjusted odds ratios [AORs] = 1.69; 2.48), AUD (AORs = 1.89; 2.44), and binge drinking frequency (AORs = 1.30 to 3.30). Nondaily e-cigarette use was associated with higher levels of risk than was daily use. Secondary analyses examined alcohol use outcomes according to participants' patterns of dual tobacco cigarette/e-cigarette use. These analyses confirmed that e-cigarette use alongside tobacco cigarette use is associated with additive risk of harmful alcohol consumption, particularly among nondaily users.

conclusionsE-cigarette users, particularly those who engage in nondaily and dual use, show elevated rates of harmful alcohol use. Heavy drinking may constitute a source of health risk among e-cigarette users.

Indexed as

AdultAgedAlcohol DrinkingAlcoholismBinge DrinkingDisability EvaluationFemaleHumansMaleMiddle AgedSmokingSocioeconomic FactorsUnited StatesVapingAlcohol Use DisorderE-cigarettesHazardous DrinkingNicotineSmoking

Identifiers

PMID30222189
PMCPMC6286236
OpenAlexW2889635673

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.