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Predictors of E-Cigarette Initiation: Findings From the Youth and Young Adult Panel Study

OBJECTIVES: Although previous studies have identified reasons why youth try e-cigarettes, longitudinal research is needed to identify predictors of e-cigarette initiation. This study assesses predictors of e-cigarette initiation among youth and young adults in the 2018-2019 Youth and Young Adult Pan...

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Autores principales: Jayakumar, Navitha, O’Connor, Shawn, Diemert, Lori, Schwartz, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7780163/
https://www.ncbi.nlm.nih.gov/pubmed/33447117
http://dx.doi.org/10.1177/1179173X20977486
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author Jayakumar, Navitha
O’Connor, Shawn
Diemert, Lori
Schwartz, Robert
author_facet Jayakumar, Navitha
O’Connor, Shawn
Diemert, Lori
Schwartz, Robert
author_sort Jayakumar, Navitha
collection PubMed
description OBJECTIVES: Although previous studies have identified reasons why youth try e-cigarettes, longitudinal research is needed to identify predictors of e-cigarette initiation. This study assesses predictors of e-cigarette initiation among youth and young adults in the 2018-2019 Youth and Young Adult Panel Study. METHODS: This study examined the proportion of Canadian participants aged 16 to 25 (n = 137) reporting never use of e-cigarettes at baseline in 2018. Individuals were categorized as not initiated and initiated at 12-month follow-up. We examined demographic characteristics, substance use, health status, social influences and perception by initiation category. Adjusted odds ratios (AORs) were calculated using logistic regression models and multivariable logistic regression model. RESULTS: Among the 137 never e-cigarette users at baseline, 59% remained never users while 41% initiated use of e-cigarettes during the 12-month follow-up. The results of multivariable logistic regression analysis showed that regularly seeing anyone use e-cigarettes (AOR: 4.11; 95% CI: 1.04, 16.31) and seeing anyone use e-cigarettes very often or always at baseline (AOR: 4.54; 95% CI: 1.21, 17.01) is associated with initiating e-cigarette use among youth and young adults. CONCLUSION: The results revealed social influences to be the most important predictors of initiation among youth and young adults. Interventions to prevent youth and young adults from initiating e-cigarette use should expand from only focusing on peer use to reducing use in public space such as parks and recreational facilities.
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spelling pubmed-77801632021-01-13 Predictors of E-Cigarette Initiation: Findings From the Youth and Young Adult Panel Study Jayakumar, Navitha O’Connor, Shawn Diemert, Lori Schwartz, Robert Tob Use Insights Original Research OBJECTIVES: Although previous studies have identified reasons why youth try e-cigarettes, longitudinal research is needed to identify predictors of e-cigarette initiation. This study assesses predictors of e-cigarette initiation among youth and young adults in the 2018-2019 Youth and Young Adult Panel Study. METHODS: This study examined the proportion of Canadian participants aged 16 to 25 (n = 137) reporting never use of e-cigarettes at baseline in 2018. Individuals were categorized as not initiated and initiated at 12-month follow-up. We examined demographic characteristics, substance use, health status, social influences and perception by initiation category. Adjusted odds ratios (AORs) were calculated using logistic regression models and multivariable logistic regression model. RESULTS: Among the 137 never e-cigarette users at baseline, 59% remained never users while 41% initiated use of e-cigarettes during the 12-month follow-up. The results of multivariable logistic regression analysis showed that regularly seeing anyone use e-cigarettes (AOR: 4.11; 95% CI: 1.04, 16.31) and seeing anyone use e-cigarettes very often or always at baseline (AOR: 4.54; 95% CI: 1.21, 17.01) is associated with initiating e-cigarette use among youth and young adults. CONCLUSION: The results revealed social influences to be the most important predictors of initiation among youth and young adults. Interventions to prevent youth and young adults from initiating e-cigarette use should expand from only focusing on peer use to reducing use in public space such as parks and recreational facilities. SAGE Publications 2020-12-28 /pmc/articles/PMC7780163/ /pubmed/33447117 http://dx.doi.org/10.1177/1179173X20977486 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research
Jayakumar, Navitha
O’Connor, Shawn
Diemert, Lori
Schwartz, Robert
Predictors of E-Cigarette Initiation: Findings From the Youth and Young Adult Panel Study
title Predictors of E-Cigarette Initiation: Findings From the Youth and Young Adult Panel Study
title_full Predictors of E-Cigarette Initiation: Findings From the Youth and Young Adult Panel Study
title_fullStr Predictors of E-Cigarette Initiation: Findings From the Youth and Young Adult Panel Study
title_full_unstemmed Predictors of E-Cigarette Initiation: Findings From the Youth and Young Adult Panel Study
title_short Predictors of E-Cigarette Initiation: Findings From the Youth and Young Adult Panel Study
title_sort predictors of e-cigarette initiation: findings from the youth and young adult panel study
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7780163/
https://www.ncbi.nlm.nih.gov/pubmed/33447117
http://dx.doi.org/10.1177/1179173X20977486
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