Evidence map›Paper›PMID 27898495›Full record

ArticleJournal of addiction medicine

Frequency of E-cigarette Use, Health Status, and Risk and Protective Health Behaviors in Adolescents.

Michael S Dunbar, Joan S Tucker, Brett A Ewing, Eric R Pedersen, Jeremy N V Miles, Regina A Shih, Elizabeth J D'Amico

Abstract read
In one paragraph

Article in Journal of addiction medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 2 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

34 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  13. A Machine Learning Approach to Identify Predictors of Frequent Vaping and Vulnerable Californian Youth Subgroups.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2022
    Article
  14. Deleterious Association of Inhalant Use on Sleep Quality during the COVID-19 Pandemic.International journal of environmental research and public health · 2021
    Article
  15. Investigating individual-level correlates of e-cigarette initiation among a large sample of Canadian high school students.Health promotion and chronic disease prevention in Canada : research, policy and practice · 2021
    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

7 authors.

Michael S DunbarRAND Corporation (MSD), Pittsburgh, PA; RAND Corporation (JST, BAE, ERP, JNVM, EJD), Santa Monica, CA; and RAND Corporation (RAS), Arlington, VA.
Joan S Tucker
Brett A Ewing
Eric R Pedersen
Jeremy N V Miles
Regina A Shih
Elizabeth J D'Amico

Funding

Brief Voluntary Alcohol and Drug Intervention for Middle School YouthR01AA016577 · NIAAA · RAND CORPORATION · PI D'AMICO, ELIZABETH J. · 2007 to 2011
$4.5M
Adolescent AOD Use Trajectories: The Role of Race and EthnicityR01AA020883 · NIAAA · RAND CORPORATION · PI D'AMICO, ELIZABETH J. · 2012 to 2016
$3.5M
NIAAA NIH HHS R01 AA016577NIAAA NIH HHS R01 AA020883
6 · The paper itself

Abstract

objectivesE-cigarettes (ECs) are increasingly popular among adolescents, who perceive them as "safer" than cigarettes. Although research has examined risk factors for adolescent EC use, little is known about how EC use correlates with health status and protective health behaviors.

methodsIn all, 2488 adolescents (mean age = 17.31 years, SD = 0.67; 46% male) completed a survey on EC and cigarette use, physical and mental health, physical activity, diet, sleep, and alcohol and other drug (AOD) use. Logistic regression compared EC-only users to dual EC/cigarette users, cigarette-only users, and nonusers on these health factors. Among EC-only users, separate ordinary least-squares regression models assessed the effects of health status/behavior variables on frequency of past-year EC use, controlling for demographics and smokeless tobacco use.

resultsUser groups were similar on physical health and engagement in protective health behaviors (physical activity, sleep duration/quality, healthy diet), but EC-only users reported fewer mental health symptoms and less AOD use than dual or cigarette-only users. Among EC-only users, AOD use (all P < 0.0001) predicted more frequent EC use; healthy diet predicted less frequent use (P < 0.01).

conclusionsEC-only use is associated with lower engagement in risky behaviors, but not better health status or higher engagement in protective health behaviors, compared with cigarette smoking. Dual EC/cigarette users may represent a particularly high-risk group due to their greater AOD use and cigarette consumption. Among "intermediate-risk" EC-only users, AOD use and unhealthy diet correlated with heavier use, and may be important targets for preventing escalation to more harmful tobacco use.

Indexed as

Adolescent BehaviorHealth BehaviorHealth StatusRisk-TakingAdolescentElectronic Nicotine Delivery SystemsFemaleHumansMaleSmoking

Identifiers

PMID27898495
PMCPMC5291796

What OpenQuestion holds

Textmetadata
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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.