Evidence map›Paper›PMID 36161135›Full record

ArticlePreventive medicine reports2022

Predictors of past-year e-cigarette use among young adults.

Laura L Struik, Erin K O'Loughlin, Teodora Riglea, Jennifer L O'Loughlin

Abstract read
In one paragraph

Article in Preventive medicine reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

8 citing papers in PubMed.

  1. Article
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  5. Characteristics of Canadians who use vaping products, by smoking status: findings from the Canadian Community Health Survey, 2020.Health promotion and chronic disease prevention in Canada : research, policy and practice · 2024
    Article
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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

4 authors.

Laura L StruikSchool of Nursing, Department of Health and Exercise Sciences, University of British Columbia Okanagan, 1147 Research Road, Kelowna, British Columbia V1V1V7, Canada.
Erin K O'LoughlinDepartment of Exercise Sciences, University of Toronto, 55 Harbord Street, Toronto, Ontario M5S 2W6, Canada.
Teodora RigleaCarrefour de l'innovation et de l'évaluation en santé, University of Montreal Hospital Research Center, Tour Saint-Antoine, 850 Rue Saint-Denis, Montréal, Québec H2X 0A9, Canada.
Jennifer L O'LoughlinCarrefour de l'innovation et de l'évaluation en santé, University of Montreal Hospital Research Center, Tour Saint-Antoine, 850 Rue Saint-Denis, Montréal, Québec H2X 0A9, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the underpinnings of e-cigarette use among young adults is critical to addressing increasing uptake. We identified predictors of past-year e-cigarette use among young adults in Montreal, Canada. Data on potential predictors were available for 714 young adults participating in the ongoing Nicotine Dependence in Teens Study at age 20 in 2007-08. Past-year e-cigarette use was measured at age 30 in 2017-20. Each potential predictor was studied in a separate multivariable logistic regression model controlling for age, sex, and educational attainment. Male sex, friends who smoke, cigarette smoking, use of other tobacco products, alcohol use, use of marijuana, and impulsivity predicted past-year e-cigarette use. Higher educational attainment and very good/excellent self-rated health were protective. Program and policy makers will need to consider these predictors of e-cigarette use in the design of clinical and public health interventions targeting e-cigarette use in young adults.

Indexed as

Electronic cigarettesLongitudinalYoung adults

Identifiers

PMID36161135
PMCPMC9502288

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.