Cargando…

Predictors of E-cigarette and Cigarette Use Trajectory Classes from Early Adolescence to Emerging Adulthood Across Four Years (2013–2017) of the PATH Study

INTRODUCTION: This study examines predictors of trajectories of cigarette and e-cigarette use among a cohort of US adolescents transitioning into young adulthood. Comparing trajectories of each tobacco product is important to determine if different intervention targets are needed to prevent progress...

Descripción completa

Detalles Bibliográficos
Autores principales: Stanton, Cassandra A, Tang, Zhiqun, Sharma, Eva, Seaman, Elizabeth, Gardner, Lisa D, Silveira, Marushka L, Hatsukami, Dorothy, Day, Hannah R, Cummings, K Michael, Goniewicz, Maciej L, Limpert, Jean, Everard, Colm, Bansal-Travers, Maansi, Ambrose, Bridget, Kimmel, Heather L, Borek, Nicolette, Compton, Wilson M, Hyland, Andrew J, Pearson, Jennifer L
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9910140/
https://www.ncbi.nlm.nih.gov/pubmed/35554569
http://dx.doi.org/10.1093/ntr/ntac119
_version_ 1784884724980776960
author Stanton, Cassandra A
Tang, Zhiqun
Sharma, Eva
Seaman, Elizabeth
Gardner, Lisa D
Silveira, Marushka L
Hatsukami, Dorothy
Day, Hannah R
Cummings, K Michael
Goniewicz, Maciej L
Limpert, Jean
Everard, Colm
Bansal-Travers, Maansi
Ambrose, Bridget
Kimmel, Heather L
Borek, Nicolette
Compton, Wilson M
Hyland, Andrew J
Pearson, Jennifer L
author_facet Stanton, Cassandra A
Tang, Zhiqun
Sharma, Eva
Seaman, Elizabeth
Gardner, Lisa D
Silveira, Marushka L
Hatsukami, Dorothy
Day, Hannah R
Cummings, K Michael
Goniewicz, Maciej L
Limpert, Jean
Everard, Colm
Bansal-Travers, Maansi
Ambrose, Bridget
Kimmel, Heather L
Borek, Nicolette
Compton, Wilson M
Hyland, Andrew J
Pearson, Jennifer L
author_sort Stanton, Cassandra A
collection PubMed
description INTRODUCTION: This study examines predictors of trajectories of cigarette and e-cigarette use among a cohort of US adolescents transitioning into young adulthood. Comparing trajectories of each tobacco product is important to determine if different intervention targets are needed to prevent progression to daily use. METHODS: Latent trajectory class analyses identified cigarette and e-cigarette use (never, ever excluding past 12-month, past 12-month (excluding past 30-day (P30D)), P30D 1–5 days, P30D 6+ days) trajectory classes, separately, among US youth (12–17; N = 10,086) using the first 4 waves (2013–2017) of data from the nationally representative PATH Study. Weighted descriptive analyses described the class characteristics. Weighted multinomial logistic regression analyses examined demographic, psychosocial, and behavioral predictors of class membership. RESULTS: Younger adolescents 12–15 years had lower tobacco use compared to 16–17 year olds and less stable classes. In the 16–17 year group, there were five unique trajectories of cigarette smoking, including a Persistent High Frequency class. Four e-cigarette use trajectories were identified; but not a persistent use class. Shared predictors of class membership for cigarettes and e-cigarettes included mental health problems, other tobacco use, marijuana use, and poorer academic achievement. Male sex and household tobacco use were unique e-cigarette trajectory class predictors. CONCLUSIONS: There was no evidence that initiation with e-cigarettes as the first product tried was associated with cigarette progression (nor cigarettes as first product and e-cigarette progression). Interventions should focus on well-established risk factors such as mental health and other substance use to prevent progression of use for both tobacco products. IMPLICATIONS: Using nationally representative data and definitions of use that take into account frequency and recency of use, longitudinal 4-year trajectories of e-cigarette and cigarette use among US adolescents transitioning into young adulthood were identified. Results among 16–17-year olds revealed a class of persistent high frequency cigarette smoking that was not identified for e-cigarette use. Cigarette use progression was not associated with e-cigarettes as the first product tried. Risk factors for progression of use of both products included mental health and other substance use, which are important prevention targets for both tobacco products.
format Online
Article
Text
id pubmed-9910140
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-99101402023-02-09 Predictors of E-cigarette and Cigarette Use Trajectory Classes from Early Adolescence to Emerging Adulthood Across Four Years (2013–2017) of the PATH Study Stanton, Cassandra A Tang, Zhiqun Sharma, Eva Seaman, Elizabeth Gardner, Lisa D Silveira, Marushka L Hatsukami, Dorothy Day, Hannah R Cummings, K Michael Goniewicz, Maciej L Limpert, Jean Everard, Colm Bansal-Travers, Maansi Ambrose, Bridget Kimmel, Heather L Borek, Nicolette Compton, Wilson M Hyland, Andrew J Pearson, Jennifer L Nicotine Tob Res Original Investigations INTRODUCTION: This study examines predictors of trajectories of cigarette and e-cigarette use among a cohort of US adolescents transitioning into young adulthood. Comparing trajectories of each tobacco product is important to determine if different intervention targets are needed to prevent progression to daily use. METHODS: Latent trajectory class analyses identified cigarette and e-cigarette use (never, ever excluding past 12-month, past 12-month (excluding past 30-day (P30D)), P30D 1–5 days, P30D 6+ days) trajectory classes, separately, among US youth (12–17; N = 10,086) using the first 4 waves (2013–2017) of data from the nationally representative PATH Study. Weighted descriptive analyses described the class characteristics. Weighted multinomial logistic regression analyses examined demographic, psychosocial, and behavioral predictors of class membership. RESULTS: Younger adolescents 12–15 years had lower tobacco use compared to 16–17 year olds and less stable classes. In the 16–17 year group, there were five unique trajectories of cigarette smoking, including a Persistent High Frequency class. Four e-cigarette use trajectories were identified; but not a persistent use class. Shared predictors of class membership for cigarettes and e-cigarettes included mental health problems, other tobacco use, marijuana use, and poorer academic achievement. Male sex and household tobacco use were unique e-cigarette trajectory class predictors. CONCLUSIONS: There was no evidence that initiation with e-cigarettes as the first product tried was associated with cigarette progression (nor cigarettes as first product and e-cigarette progression). Interventions should focus on well-established risk factors such as mental health and other substance use to prevent progression of use for both tobacco products. IMPLICATIONS: Using nationally representative data and definitions of use that take into account frequency and recency of use, longitudinal 4-year trajectories of e-cigarette and cigarette use among US adolescents transitioning into young adulthood were identified. Results among 16–17-year olds revealed a class of persistent high frequency cigarette smoking that was not identified for e-cigarette use. Cigarette use progression was not associated with e-cigarettes as the first product tried. Risk factors for progression of use of both products included mental health and other substance use, which are important prevention targets for both tobacco products. Oxford University Press 2022-05-11 /pmc/articles/PMC9910140/ /pubmed/35554569 http://dx.doi.org/10.1093/ntr/ntac119 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Original Investigations
Stanton, Cassandra A
Tang, Zhiqun
Sharma, Eva
Seaman, Elizabeth
Gardner, Lisa D
Silveira, Marushka L
Hatsukami, Dorothy
Day, Hannah R
Cummings, K Michael
Goniewicz, Maciej L
Limpert, Jean
Everard, Colm
Bansal-Travers, Maansi
Ambrose, Bridget
Kimmel, Heather L
Borek, Nicolette
Compton, Wilson M
Hyland, Andrew J
Pearson, Jennifer L
Predictors of E-cigarette and Cigarette Use Trajectory Classes from Early Adolescence to Emerging Adulthood Across Four Years (2013–2017) of the PATH Study
title Predictors of E-cigarette and Cigarette Use Trajectory Classes from Early Adolescence to Emerging Adulthood Across Four Years (2013–2017) of the PATH Study
title_full Predictors of E-cigarette and Cigarette Use Trajectory Classes from Early Adolescence to Emerging Adulthood Across Four Years (2013–2017) of the PATH Study
title_fullStr Predictors of E-cigarette and Cigarette Use Trajectory Classes from Early Adolescence to Emerging Adulthood Across Four Years (2013–2017) of the PATH Study
title_full_unstemmed Predictors of E-cigarette and Cigarette Use Trajectory Classes from Early Adolescence to Emerging Adulthood Across Four Years (2013–2017) of the PATH Study
title_short Predictors of E-cigarette and Cigarette Use Trajectory Classes from Early Adolescence to Emerging Adulthood Across Four Years (2013–2017) of the PATH Study
title_sort predictors of e-cigarette and cigarette use trajectory classes from early adolescence to emerging adulthood across four years (2013–2017) of the path study
topic Original Investigations
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9910140/
https://www.ncbi.nlm.nih.gov/pubmed/35554569
http://dx.doi.org/10.1093/ntr/ntac119
work_keys_str_mv AT stantoncassandraa predictorsofecigaretteandcigaretteusetrajectoryclassesfromearlyadolescencetoemergingadulthoodacrossfouryears20132017ofthepathstudy
AT tangzhiqun predictorsofecigaretteandcigaretteusetrajectoryclassesfromearlyadolescencetoemergingadulthoodacrossfouryears20132017ofthepathstudy
AT sharmaeva predictorsofecigaretteandcigaretteusetrajectoryclassesfromearlyadolescencetoemergingadulthoodacrossfouryears20132017ofthepathstudy
AT seamanelizabeth predictorsofecigaretteandcigaretteusetrajectoryclassesfromearlyadolescencetoemergingadulthoodacrossfouryears20132017ofthepathstudy
AT gardnerlisad predictorsofecigaretteandcigaretteusetrajectoryclassesfromearlyadolescencetoemergingadulthoodacrossfouryears20132017ofthepathstudy
AT silveiramarushkal predictorsofecigaretteandcigaretteusetrajectoryclassesfromearlyadolescencetoemergingadulthoodacrossfouryears20132017ofthepathstudy
AT hatsukamidorothy predictorsofecigaretteandcigaretteusetrajectoryclassesfromearlyadolescencetoemergingadulthoodacrossfouryears20132017ofthepathstudy
AT dayhannahr predictorsofecigaretteandcigaretteusetrajectoryclassesfromearlyadolescencetoemergingadulthoodacrossfouryears20132017ofthepathstudy
AT cummingskmichael predictorsofecigaretteandcigaretteusetrajectoryclassesfromearlyadolescencetoemergingadulthoodacrossfouryears20132017ofthepathstudy
AT goniewiczmaciejl predictorsofecigaretteandcigaretteusetrajectoryclassesfromearlyadolescencetoemergingadulthoodacrossfouryears20132017ofthepathstudy
AT limpertjean predictorsofecigaretteandcigaretteusetrajectoryclassesfromearlyadolescencetoemergingadulthoodacrossfouryears20132017ofthepathstudy
AT everardcolm predictorsofecigaretteandcigaretteusetrajectoryclassesfromearlyadolescencetoemergingadulthoodacrossfouryears20132017ofthepathstudy
AT bansaltraversmaansi predictorsofecigaretteandcigaretteusetrajectoryclassesfromearlyadolescencetoemergingadulthoodacrossfouryears20132017ofthepathstudy
AT ambrosebridget predictorsofecigaretteandcigaretteusetrajectoryclassesfromearlyadolescencetoemergingadulthoodacrossfouryears20132017ofthepathstudy
AT kimmelheatherl predictorsofecigaretteandcigaretteusetrajectoryclassesfromearlyadolescencetoemergingadulthoodacrossfouryears20132017ofthepathstudy
AT boreknicolette predictorsofecigaretteandcigaretteusetrajectoryclassesfromearlyadolescencetoemergingadulthoodacrossfouryears20132017ofthepathstudy
AT comptonwilsonm predictorsofecigaretteandcigaretteusetrajectoryclassesfromearlyadolescencetoemergingadulthoodacrossfouryears20132017ofthepathstudy
AT hylandandrewj predictorsofecigaretteandcigaretteusetrajectoryclassesfromearlyadolescencetoemergingadulthoodacrossfouryears20132017ofthepathstudy
AT pearsonjenniferl predictorsofecigaretteandcigaretteusetrajectoryclassesfromearlyadolescencetoemergingadulthoodacrossfouryears20132017ofthepathstudy