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Sociodemographic differences in single, dual, and poly tobacco use among Appalachian youth

INTRODUCTION: Patterns of youth tobacco use, including use of multiple products, have likely shifted as e-cigarettes have grown in popularity. However, there is limited understanding of dual and poly tobacco use and the associated disparities, especially among Appalachian youth. METHODS: We analyzed...

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Autores principales: Mattingly, Delvon T., Hart, Joy L., Wood, Lindsey A., Walker, Kandi L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: European Publishing on behalf of the European Network for Smoking and Tobacco Prevention (ENSP) 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7549506/
https://www.ncbi.nlm.nih.gov/pubmed/33083678
http://dx.doi.org/10.18332/tpc/124782
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author Mattingly, Delvon T.
Hart, Joy L.
Wood, Lindsey A.
Walker, Kandi L.
author_facet Mattingly, Delvon T.
Hart, Joy L.
Wood, Lindsey A.
Walker, Kandi L.
author_sort Mattingly, Delvon T.
collection PubMed
description INTRODUCTION: Patterns of youth tobacco use, including use of multiple products, have likely shifted as e-cigarettes have grown in popularity. However, there is limited understanding of dual and poly tobacco use and the associated disparities, especially among Appalachian youth. METHODS: We analyzed Youth Appalachian Tobacco Study data (n=1116) to estimate prevalence of current (past-30 day) cigarette, e-cigarette, and smokeless tobacco use by gender, race/ethnicity, age, school type, state, smartphone use, and number of household tobacco users. We created a pattern of tobacco use variable (i.e. never, former, single, dual, poly) based on all possible combinations of the included products. Using multivariable multinomial logistic regression (outcome reference: never use), we evaluated associations between sociodemographic characteristics and patterns of tobacco use. RESULTS: Former (16.2%) was the most common tobacco use group, followed by single (10.8%), dual (4.5%), and poly (2.4%) use. Dual and poly use were more prevalent among males, Whites/Caucasians, older participants, and participants living in households with tobacco users. Kentucky residents (vs New York) had higher odds of dual use (OR=5.15; 95% CI: 1.72–15.44), and youth who used smartphones for ≥20hours/week (vs <20 hours/week) had greater odds of poly use (OR=3.02; 95% CI: 1.34–6.80). CONCLUSIONS: Differences in single, dual, and poly tobacco use were evidenced by sociodemographic characteristics. Additional inquiry should further examine these disparities so that tobacco prevention interventions can be appropriately tailored.
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spelling pubmed-75495062020-10-19 Sociodemographic differences in single, dual, and poly tobacco use among Appalachian youth Mattingly, Delvon T. Hart, Joy L. Wood, Lindsey A. Walker, Kandi L. Tob Prev Cessat Research Paper INTRODUCTION: Patterns of youth tobacco use, including use of multiple products, have likely shifted as e-cigarettes have grown in popularity. However, there is limited understanding of dual and poly tobacco use and the associated disparities, especially among Appalachian youth. METHODS: We analyzed Youth Appalachian Tobacco Study data (n=1116) to estimate prevalence of current (past-30 day) cigarette, e-cigarette, and smokeless tobacco use by gender, race/ethnicity, age, school type, state, smartphone use, and number of household tobacco users. We created a pattern of tobacco use variable (i.e. never, former, single, dual, poly) based on all possible combinations of the included products. Using multivariable multinomial logistic regression (outcome reference: never use), we evaluated associations between sociodemographic characteristics and patterns of tobacco use. RESULTS: Former (16.2%) was the most common tobacco use group, followed by single (10.8%), dual (4.5%), and poly (2.4%) use. Dual and poly use were more prevalent among males, Whites/Caucasians, older participants, and participants living in households with tobacco users. Kentucky residents (vs New York) had higher odds of dual use (OR=5.15; 95% CI: 1.72–15.44), and youth who used smartphones for ≥20hours/week (vs <20 hours/week) had greater odds of poly use (OR=3.02; 95% CI: 1.34–6.80). CONCLUSIONS: Differences in single, dual, and poly tobacco use were evidenced by sociodemographic characteristics. Additional inquiry should further examine these disparities so that tobacco prevention interventions can be appropriately tailored. European Publishing on behalf of the European Network for Smoking and Tobacco Prevention (ENSP) 2020-07-28 /pmc/articles/PMC7549506/ /pubmed/33083678 http://dx.doi.org/10.18332/tpc/124782 Text en © 2020 Mattingly D. T http://creativecommons.org/licenses/by-nc/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution NonCommercial 4.0 International License.
spellingShingle Research Paper
Mattingly, Delvon T.
Hart, Joy L.
Wood, Lindsey A.
Walker, Kandi L.
Sociodemographic differences in single, dual, and poly tobacco use among Appalachian youth
title Sociodemographic differences in single, dual, and poly tobacco use among Appalachian youth
title_full Sociodemographic differences in single, dual, and poly tobacco use among Appalachian youth
title_fullStr Sociodemographic differences in single, dual, and poly tobacco use among Appalachian youth
title_full_unstemmed Sociodemographic differences in single, dual, and poly tobacco use among Appalachian youth
title_short Sociodemographic differences in single, dual, and poly tobacco use among Appalachian youth
title_sort sociodemographic differences in single, dual, and poly tobacco use among appalachian youth
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7549506/
https://www.ncbi.nlm.nih.gov/pubmed/33083678
http://dx.doi.org/10.18332/tpc/124782
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