Literature DB >> 28035000

E-Cigarette Susceptibility as a Predictor of Youth Initiation of E-Cigarettes.

Krysten W Bold1, Grace Kong1, Dana A Cavallo1, Deepa R Camenga2, Suchitra Krishnan-Sarin1.   

Abstract

INTRODUCTION: Identifying youth at risk for future e-cigarette use is critical for informing prevention efforts. Prior research established measures of susceptibility to conventional cigarettes, and this study aimed to examine whether items adapted for e-cigarette susceptibility predicted subsequent e-cigarette use among never e-cigarette users.
METHODS: Longitudinal school-wide survey data were collected from middle and high school students in Fall 2013 (wave 1) and Spring 2014 (wave 2). Among never e-cigarette users at wave 1 (n = 1720), e-cigarette susceptibility was measured by two items assessing anticipation of experimenting with e-cigarettes in the future and willingness to use an e-cigarette if offered by a best friend. Logistic regression models examined susceptibility as a predictor of e-cigarette initiation and past 30-day use 6 months later at wave 2. Models were clustered by school and controlled for sex, age, race, SES, and other substance use (alcohol, marijuana, and other tobacco).
RESULTS: In total, 8.9% (n = 153) of youth initiated e-cigarettes and 3.7% (n = 63) reported past 30-day use at wave 2. E-cigarette susceptibility was a significant independent predictor of subsequent initiation (OR = 4.27, 95% CI = 3.12-5.85) and past 30-day e-cigarette use (OR = 5.10, 95%CI = 3.38-7.68) 6 months later. Susceptible youth were more likely to be male, older, and have used alcohol, marijuana, or other tobacco products.
CONCLUSIONS: These findings provide initial support for adapting two susceptibility items to identify adolescents at risk for future e-cigarette use. Identifying strategies that are effective for targeting susceptible youth and preventing future e-cigarette use will be critical areas for future research. IMPLICATIONS: More than a quarter of the sample who reported both a willingness to try e-cigarettes if offered by a best friend and anticipation of experimenting with e-cigarettes in the future went on to try e-cigarettes within the academic year, suggesting that targeting this group will be critical for preventing youth e-cigarette initiation. There were notable demographic differences between susceptible and non-susceptible youth, suggesting targeting e-cigarette prevention efforts to male students who have used other substances may be especially important for preventing future e-cigarette use. Research is needed to determine the most effective prevention strategies to reach susceptible youth.
© The Author(s) 2016. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

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Year:  2017        PMID: 28035000      PMCID: PMC5868212          DOI: 10.1093/ntr/ntw393

Source DB:  PubMed          Journal:  Nicotine Tob Res        ISSN: 1462-2203            Impact factor:   4.244


  12 in total

1.  Matching anonymous pre-posttests using subject-generated information.

Authors:  J McGloin; S Holcomb; D S Main
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2.  Self-generated identification codes for anonymous collection of longitudinal questionnaire data.

Authors:  K A Kearney; R H Hopkins; A L Mauss; R A Weisheit
Journal:  Public Opin Q       Date:  1984

3.  The use of self-generated identification codes in longitudinal research.

Authors:  Leo A Yurek; Joseph Vasey; Donna Sullivan Havens
Journal:  Eval Rev       Date:  2008-05-13

4.  Validation of susceptibility as a predictor of which adolescents take up smoking in the United States.

Authors:  J P Pierce; W S Choi; E A Gilpin; A J Farkas; R K Merritt
Journal:  Health Psychol       Date:  1996-09       Impact factor: 4.267

5.  Reasons for Electronic Cigarette Experimentation and Discontinuation Among Adolescents and Young Adults.

Authors:  Grace Kong; Meghan E Morean; Dana A Cavallo; Deepa R Camenga; Suchitra Krishnan-Sarin
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6.  Risky behaviors, e-cigarette use and susceptibility of use among college students.

Authors:  M L Saddleson; L T Kozlowski; G A Giovino; L W Hawk; J M Murphy; M G MacLean; M L Goniewicz; G G Homish; B H Wrotniak; M C Mahoney
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7.  Reasons for Trying E-cigarettes and Risk of Continued Use.

Authors:  Krysten W Bold; Grace Kong; Dana A Cavallo; Deepa R Camenga; Suchitra Krishnan-Sarin
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8.  E-Cigarette Marketing Exposure Is Associated With E-Cigarette Use Among US Youth.

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9.  Tobacco Use Among Middle and High School Students--United States, 2011-2015.

Authors:  Tushar Singh; René A Arrazola; Catherine G Corey; Corinne G Husten; Linda J Neff; David M Homa; Brian A King
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Review 2.  Research on Youth and Young Adult Tobacco Use, 2013-2018, From the Food and Drug Administration-National Institutes of Health Tobacco Centers of Regulatory Science.

Authors:  Cheryl L Perry; MeLisa R Creamer; Benjamin W Chaffee; Jennifer B Unger; Erin L Sutfin; Grace Kong; Ce Shang; Stephanie L Clendennen; Suchitra Krishnan-Sarin; Mary Ann Pentz
Journal:  Nicotine Tob Res       Date:  2020-06-12       Impact factor: 4.244

Review 3.  The rise of e-cigarettes, pod mod devices, and JUUL among youth: Factors influencing use, health implications, and downstream effects.

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4.  Using Latent Class Analysis to Examine Susceptibility to Various Tobacco Products Among Adolescents.

Authors:  Krysten W Bold; Eugenia Buta; Patricia Simon; Grace Kong; Meghan Morean; Deepa Camenga; Suchitra Krishnan-Sarin
Journal:  Nicotine Tob Res       Date:  2020-10-29       Impact factor: 4.244

5.  A Middle School Program to Prevent E-Cigarette Use: A Pilot Study of "CATCH My Breath".

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6.  Engagement With Online Tobacco Marketing and Associations With Tobacco Product Use Among U.S. Youth.

Authors:  Samir Soneji; John P Pierce; Kelvin Choi; David B Portnoy; Katherine A Margolis; Cassandra A Stanton; Rhonda J Moore; Maansi Bansal-Travers; Charles Carusi; Andrew Hyland; James Sargent
Journal:  J Adolesc Health       Date:  2017-03-28       Impact factor: 5.012

7.  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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Journal:  Prev Med       Date:  2019-02-16       Impact factor: 4.018

8.  Short-term E-cigarette toxicity effects on brain cognitive memory functions and inflammatory responses in mice.

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9.  A videogame intervention for tobacco product use prevention in adolescents.

Authors:  Mary Ann Pentz; Kimberly D Hieftje; Tyra M Pendergrass; Stephanie A Brito; Mengyu Liu; Trisha Arora; Hilary A Tindle; Suchitra Krishnan-Sarin; Lynn E Fiellin
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10.  Adolescent Tobacco Uptake and Other Substance Use: A Latent Class Analysis.

Authors:  Joanne Delk; Felicia R Carey; Kathleen R Case; MeLisa R Creamer; Anna V Wilkinson; Cheryl L Perry; Melissa B Harrell
Journal:  Am J Health Behav       Date:  2019-01-01
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