Literature DB >> 31758190

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

Krysten W Bold1, Eugenia Buta2, Patricia Simon1, Grace Kong1, Meghan Morean3, Deepa Camenga4, Suchitra Krishnan-Sarin1.   

Abstract

INTRODUCTION: Most tobacco use is initiated during adolescence and susceptibility is an important predictor of initiation. Research is needed to understand susceptibility across tobacco products among youth to inform prevention efforts. AIMS AND METHODS: We surveyed 2945 students from four Southeastern Connecticut high schools in 2017. We assessed susceptibility to future use of seven different tobacco products (ie, cigarettes, e-cigarettes, hookah, cigars, cigarillos, blunts, and smokeless tobacco) among youth who had never used a tobacco product. Susceptibility was coded as any response other than "definitely not" to three items assessing (1) curiosity, (2) willingness to experiment with the product in the future, and (3) willingness to try if offered by a friend. Latent class analysis was used to identify patterns of susceptibility across multiple tobacco products and sociodemographic predictors of these classes.
RESULTS: Among n = 1246 youth who had never tried a tobacco product, 51.2% (n = 638) were susceptible to at least one product and 29.1% (n = 363) were susceptible to two or more products (average among susceptible youth: M = 2.4 products, SD = 1.7, range 1-7). Latent class analysis identified three classes: youth who were: (1) susceptible to all products (5.6%), (2) susceptible to e-cigarettes, hookah, and blunts (23.6%), and (3) mostly non-susceptible to all products (70.8%). In a multivariable model, demographic variables and peer tobacco use predicted class membership.
CONCLUSIONS: We observed high rates of susceptibility to non-traditional tobacco products among youth, and many youth were susceptible to more than one product. Targeting susceptibility across multiple tobacco products may be important for reducing youth tobacco use. IMPLICATIONS: Patterns of polytobacco use susceptibility were identified among youth who had never previously used tobacco products. Many youth were susceptible to more than one product and we observed three distinct classes of susceptibility among youth: those who were mostly non-susceptible, those who were susceptible to alternative or non-traditional tobacco products (e-cigarettes, hookah, and blunts), and those who were susceptible to all tobacco products. These findings suggest the importance of addressing susceptibility across multiple tobacco products.
© The Author(s) 2019. 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.

Entities:  

Year:  2020        PMID: 31758190      PMCID: PMC7593365          DOI: 10.1093/ntr/ntz216

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


  22 in total

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3.  Predictors of Smokeless Tobacco Susceptibility, Initiation, and Progression Over Time Among Adolescents in a Rural Cohort.

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Journal:  Subst Use Misuse       Date:  2019-01-29       Impact factor: 2.164

4.  Social Norms, Perceptions and Dual/Poly Tobacco Use among Texas Youth.

Authors:  Maria Cooper; MeLisa R Creamer; Christina Ly; Brittani Crook; Melissa B Harrell; Cheryl L Perry
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5.  Risk Profiles of Youth Single, Dual, and Poly Tobacco Users.

Authors:  Maliha Ali; Tiffany R Gray; Diane J Martinez; Laurel E Curry; Kimberly A Horn
Journal:  Nicotine Tob Res       Date:  2016-02-19       Impact factor: 4.244

6.  Assessing and Predicting Susceptibility to Waterpipe Tobacco Use Among College Students.

Authors:  Isaac M Lipkus; Beth A Reboussin; Mark Wolfson; Erin L Sutfin
Journal:  Nicotine Tob Res       Date:  2014-12-26       Impact factor: 4.244

7.  New methods shed light on age of onset as a risk factor for nicotine dependence.

Authors:  Stephanie T Lanza; Sara A Vasilenko
Journal:  Addict Behav       Date:  2015-06-11       Impact factor: 3.913

8.  Early smoking onset and risk for subsequent nicotine dependence: a monozygotic co-twin control study.

Authors:  Kenneth S Kendler; John Myers; M Imad Damaj; Xianging Chen
Journal:  Am J Psychiatry       Date:  2013-04       Impact factor: 18.112

9.  Alcohol, marijuana, and tobacco use trajectories from age 12 to 24 years: demographic correlates and young adult substance use problems.

Authors:  Sarah E Nelson; Mark J Van Ryzin; Thomas J Dishion
Journal:  Dev Psychopathol       Date:  2014-07-14

10.  Multiple tobacco product use among US adolescents and young adults.

Authors:  Samir Soneji; James Sargent; Susanne Tanski
Journal:  Tob Control       Date:  2014-10-31       Impact factor: 7.552

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2.  Neighbourhood tobacco retail access and tobacco use susceptibility in young adolescents in urban India.

Authors:  Ritesh Mistry; Michael J Kleinsasser; Namrata Puntambekar; Prakash C Gupta; William J McCarthy; Trivellore Raghunathan; Keyuri Adhikari; Sameer Narake; Hsing-Fang Hsieh; Maruti Desai; Shervin Assari; Joseph Alberts; Mangesh S Pednekar
Journal:  Tob Control       Date:  2021-11-25       Impact factor: 6.953

3.  Latent class trajectories: U.S. adolescents' nicotine use and its association with nicotine dependence.

Authors:  Carol J Boyd; Philip Veliz; Rebecca Evans-Polce; Andria B Eisman; Sean Esteban McCabe
Journal:  Addict Behav Rep       Date:  2020-09-09

4.  Age of Onset of Susceptibility to Different Tobacco Products Among Non-Susceptible US Young Adults: Findings from the Population Assessment of Tobacco and Health Study Waves 2-4 (2014-2017).

Authors:  Adriana Pérez; Meagan A Bluestein; Arnold E Kuk; Baojiang Chen; Kymberle L Sterling; Melissa B Harrell
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  4 in total

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