Literature DB >> 32335030

Predictors of JUUL, other electronic nicotine delivery systems, and combustible tobacco initiation among Texas youth.

Kathleen R Case1, Udoka C Obinwa2, Stephanie L Clendennen3, Cheryl L Perry4, Melissa B Harrell5.   

Abstract

The objectives of this study were to 1) examine longitudinal predictors of JUUL and other tobacco product initiation, 2) compare these predictors across product type, and 3) describe cross-sectional characteristics of JUUL initiators, among a cohort of Texas adolescents. Analyses were also stratified to examine whether predictors of initiation differed by susceptibility to tobacco use at baseline. This study utilized data from Waves 7 and 8 (Fall 2017 and Spring 2018) of the Texas Adolescent Tobacco and Marketing Surveillance System (n = 2272). Chi-square tests and multinomial logistic regressions were conducted to examine differences in predictors of initiation. Among those who initiated at Wave 8 (n=107), 40.2% initiated JUUL, 43.9% initiated other ENDS, and 15.9% initiated other combustible tobacco. For the full sample, ever marijuana use predicted the initiation of all tobacco products (Relative Risk Ratios "RRRs" from 2.31-4.13) as compared to non-users. For non-susceptible youth, ever marijuana use significantly predicted the initiation of JUUL (RRR = 10.08, 95% CI = 2.11-48.17) and other ENDS use (RRR = 12.07, 95% CI = 2.97-49.04). Peer tobacco use predicted the initiation of JUUL (RRR = 3.06, 95% CI = 1.38-6.81) and other ENDS use (RRR = 5.36, 95% CI = 2.11-13.64) for the full sample, as well as those who were susceptible to tobacco use. For non-susceptible youth, peer tobacco use predicted the initiation of combustible tobacco use (RRR = 16.56, 95% CI = 1.56-175.84). Prominent reasons for JUUL use included curiosity, friend use, and less harmful that cigarettes. Results highlight the role of marijuana in the initiation of all tobacco products, even among low-risk youth; other predictors varied between product type. Interventions should address specific predictors to prevent youth from transitioning to tobacco use.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Adolescent; Electronic nicotine delivery systems; JUUL; Tobacco products

Mesh:

Year:  2020        PMID: 32335030      PMCID: PMC7717173          DOI: 10.1016/j.ypmed.2020.106097

Source DB:  PubMed          Journal:  Prev Med        ISSN: 0091-7435            Impact factor:   4.018


  7 in total

1.  ENDS Device Type and Initiation of Combustible Tobacco Products Among Adolescents.

Authors:  Aslesha Sumbe; Stephanie L Clendennen; Samuel C Opara; Christian D Jackson; Baojiang Chen; Anna V Wilkinson; Melissa B Harrell
Journal:  Nicotine Tob Res       Date:  2021-02-16       Impact factor: 4.244

2.  Use frequency and symptoms of nicotine dependence among adolescent E-cigarette users: Comparison of JUUL and Non-JUUL users.

Authors:  Dale S Mantey; Kathleen R Case; Onyinye Omega-Njemnobi; Andrew E Springer; Steven H Kelder
Journal:  Drug Alcohol Depend       Date:  2021-09-24       Impact factor: 4.492

3.  Comparing Risk Factors for Past 30-day E-cigarette and Combustible Tobacco Use: A Longitudinal Analysis of the Texas Adolescent Tobacco and Marketing Surveillance Study (2014-2017).

Authors:  Udoka Obinwa; Stephanie L Clendennen; Shazia Rangwalam; Aslesha Sumbe; Kathleen R Case; Melissa B Harrell
Journal:  Tex Public Health J       Date:  2021

4.  Electronic Cigarette Terminology: Where Does One Generation End and the Next Begin?

Authors:  Jenny E Ozga; Nicholas J Felicione; Ashley Douglas; Margaret Childers; Melissa D Blank
Journal:  Nicotine Tob Res       Date:  2022-02-14       Impact factor: 5.825

5.  Risk of respiratory, gastrointestinal, and constitutional health symptoms: A cross-sectional study of Texas adolescent and young adult nicotine and marijuana vapers.

Authors:  Kathleen R Case; Stephanie L Clendennen; Joel Tsevat; Melissa B Harrell
Journal:  Prev Med       Date:  2022-04-20       Impact factor: 4.637

6.  Predictors of pod-type e-cigarette device use among Canadian youth and young adults.

Authors:  Safa Ahmad; Tianru Wang; Robert Schwartz; Susan J Bondy
Journal:  Health Promot Chronic Dis Prev Can       Date:  2022-01       Impact factor: 2.725

Review 7.  An International Systematic Review of Prevalence, Risk, and Protective Factors Associated with Young People's E-Cigarette Use.

Authors:  Jinyung Kim; Serim Lee; JongSerl Chun
Journal:  Int J Environ Res Public Health       Date:  2022-09-14       Impact factor: 4.614

  7 in total

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