Literature DB >> 34524431

Predicting Adolescent Electronic Cigarette Use: Differences by Never, Ever, and Current Users.

Paul T Enlow1,2, Desireé N Williford3, Katelyn F Romm4, Geri A Dino5, Melissa D Blank3,5, Pamela J Murray6, Christine A Banvard6, Christina L Duncan3.   

Abstract

OBJECTIVE: Rising rates of adolescent electronic cigarette (ECIG) use is concerning because it can lead to adverse health outcomes and increased risk behavior. There are known predictors of ever versus never ECIG use, but less are known about risk factors for ever versus current use of ECIGs. Problem behavior theory (PBT) was used to evaluate possible risk factors for different ECIG use status.
METHODS: Participants were 573 high school students who completed questionnaires measuring ECIG use, as well as constructs within the Social Environment, Perceived Environment, Personality, and Behavior domains of PBT. Multinomial logistic regression was used to evaluate how predictor variables differentiated between participants who reported (a) never use, (b) ever ECIG use, or (c) current ECIG use.
RESULTS: Adolescents were more likely to endorse ever ECIG use than never use if they reported peer ECIG use, perceived more benefits and fewer costs (e.g., health) of ECIG use, higher extraversion, alcohol and cigarette use (never vs. ever vs. past 30 days), or attended a school with a higher percentage of socioeconomically disadvantaged students. Adolescents were more likely to report current ECIG use than ever ECIG use if they perceived fewer costs of ECIG use or used cannabis in their lifetime (yes/no).
CONCLUSIONS: PBT variables differentiated between ever ECIG use and never ECIG use. However, these variables did not differentiate between ever and current ECIG use. Identifying unique risk factors for current versus ever ECIG use is important to understanding persistent ECIG use and subsequent targeted prevention and intervention programs.
© The Author(s) 2021. Published by Oxford University Press on behalf of the Society of Pediatric Psychology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  adolescents; health behavior; risk behavior; tobacco use

Mesh:

Year:  2022        PMID: 34524431      PMCID: PMC9125499          DOI: 10.1093/jpepsy/jsab082

Source DB:  PubMed          Journal:  J Pediatr Psychol        ISSN: 0146-8693


  49 in total

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Authors:  Arpana Agrawal; Alan J Budney; Michael T Lynskey
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3.  Risk behavior in adolescence: a psychosocial framework for understanding and action.

Authors:  R Jessor
Journal:  J Adolesc Health       Date:  1991-12       Impact factor: 5.012

4.  E-cigarettes, Cigarettes, and the Prevalence of Adolescent Tobacco Use.

Authors:  Jessica L Barrington-Trimis; Robert Urman; Adam M Leventhal; W James Gauderman; Tess Boley Cruz; Tamika D Gilreath; Steve Howland; Jennifer B Unger; Kiros Berhane; Jonathan M Samet; Rob McConnell
Journal:  Pediatrics       Date:  2016-07-11       Impact factor: 7.124

5.  The association between sensation seeking and e-cigarette use in Texas young adults: A cross-sectional study.

Authors:  Kathleen R Case; Alexandra Loukas; Melissa B Harrell; Anna V Wilkinson; Andrew E Springer; Adriana Pérez; MeLisa R Creamer; Cheryl L Perry
Journal:  J Am Coll Health       Date:  2017-01-17

6.  Applying the Problem Behavior Theory to Adolescent Drug Use Among a Cross-Sectional Sample of Boys Participating in a Community-Based Youth Organization.

Authors:  Adam C Alexander; Christopher O Obong'o; Prachi Chavan; Mark W Vander Weg; Kenneth D Ward
Journal:  Subst Use Misuse       Date:  2017-09-14       Impact factor: 2.164

7.  E-Cigarette Outcome Expectancies among Nationally Representative Samples of Adolescents and Young Adults.

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8.  Is susceptibility to E-cigarettes among youth associated with tobacco and other substance use behaviors one year later? Results from the PATH study.

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Review 9.  Genetic and environmental influences on cannabis use initiation and problematic use: a meta-analysis of twin studies.

Authors:  Karin J H Verweij; Brendan P Zietsch; Michael T Lynskey; Sarah E Medland; Michael C Neale; Nicholas G Martin; Dorret I Boomsma; Jacqueline M Vink
Journal:  Addiction       Date:  2010-03       Impact factor: 6.526

10.  Prevalence and correlates of adolescents' e-cigarette use frequency and dependence.

Authors:  Erin A Vogel; Danielle E Ramo; Mark L Rubinstein
Journal:  Drug Alcohol Depend       Date:  2018-05-08       Impact factor: 4.492

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1.  Sex and macroeconomic differences and trends in early attempts at cigarette smoking among adolescents: findings from 147 countries.

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