Identifying behavioural characteristics of tobacco product and e-cigarette use clusters: A repeat cross-sectional analysis

Adam G. Cole, Ashok Chaurasia, Ryan David Kennedy, Scott T. Leatherdale

Research output: Contribution to journalArticle

Abstract

Background: Youth may use a variety of tobacco products and e-cigarettes. However, there is a lack of evidence for the combinations of tobacco products and e-cigarettes commonly used by youth in Canada and whether youth from different usage classes share similar characteristics. Methods: A cohort of 9th grade students from Ontario, Canada was identified at baseline (2013–14) of the COMPASS study (n = 4651). Classes of youth that currently use similar combinations of tobacco products and e-cigarettes were identified at baseline, one (FY1) and two years later (FY2) using latent class analysis. Multinomial logistic regression models identified demographic and behavioural characteristics (e.g., environmental influences, substance use behaviours, etc.) of youth in current tobacco and e-cigarette use classes relative to youth in non-current use classes. Results: At baseline, a three-class model was identified as best, while a four-class model was identified at FY1 and FY2. A non-current use group and an all-product use group were identified every year. Students that reported having friends that smoked cigarettes, binge drinking, and using marijuana were more likely to be classified into a current use class. Conclusions: Tobacco cigarettes were more likely to be used with other products than on their own. An all-product use group was identified across all three survey waves and the prevalence of this group increased over time. Given that many youth in this study used more than one tobacco product or e-cigarette and commonly reported binge drinking and using marijuana, prevention and cessation activities should address the use of multiple products.

LanguageEnglish (US)
Pages77-84
Number of pages8
JournalAddictive Behaviors
Volume90
DOIs
StatePublished - Mar 1 2019

Fingerprint

Tobacco Products
Cross-Sectional Studies
Binge Drinking
Tobacco
Cannabis
Canada
Logistic Models
Students
Ontario
Logistics
Demography

Keywords

  • Adolescence
  • Electronic cigarette
  • Latent class analysis
  • Tobacco use

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • Clinical Psychology
  • Toxicology
  • Psychiatry and Mental health

Cite this

Identifying behavioural characteristics of tobacco product and e-cigarette use clusters : A repeat cross-sectional analysis. / Cole, Adam G.; Chaurasia, Ashok; Kennedy, Ryan David; Leatherdale, Scott T.

In: Addictive Behaviors, Vol. 90, 01.03.2019, p. 77-84.

Research output: Contribution to journalArticle

@article{799cf3eb4b974374a04674ef06a0d7cb,
title = "Identifying behavioural characteristics of tobacco product and e-cigarette use clusters: A repeat cross-sectional analysis",
abstract = "Background: Youth may use a variety of tobacco products and e-cigarettes. However, there is a lack of evidence for the combinations of tobacco products and e-cigarettes commonly used by youth in Canada and whether youth from different usage classes share similar characteristics. Methods: A cohort of 9th grade students from Ontario, Canada was identified at baseline (2013–14) of the COMPASS study (n = 4651). Classes of youth that currently use similar combinations of tobacco products and e-cigarettes were identified at baseline, one (FY1) and two years later (FY2) using latent class analysis. Multinomial logistic regression models identified demographic and behavioural characteristics (e.g., environmental influences, substance use behaviours, etc.) of youth in current tobacco and e-cigarette use classes relative to youth in non-current use classes. Results: At baseline, a three-class model was identified as best, while a four-class model was identified at FY1 and FY2. A non-current use group and an all-product use group were identified every year. Students that reported having friends that smoked cigarettes, binge drinking, and using marijuana were more likely to be classified into a current use class. Conclusions: Tobacco cigarettes were more likely to be used with other products than on their own. An all-product use group was identified across all three survey waves and the prevalence of this group increased over time. Given that many youth in this study used more than one tobacco product or e-cigarette and commonly reported binge drinking and using marijuana, prevention and cessation activities should address the use of multiple products.",
keywords = "Adolescence, Electronic cigarette, Latent class analysis, Tobacco use",
author = "Cole, {Adam G.} and Ashok Chaurasia and Kennedy, {Ryan David} and Leatherdale, {Scott T.}",
year = "2019",
month = "3",
day = "1",
doi = "10.1016/j.addbeh.2018.10.026",
language = "English (US)",
volume = "90",
pages = "77--84",
journal = "Addictive Behaviors",
issn = "0306-4603",
publisher = "Elsevier Limited",

}

TY - JOUR

T1 - Identifying behavioural characteristics of tobacco product and e-cigarette use clusters

T2 - Addictive Behaviors

AU - Cole, Adam G.

AU - Chaurasia, Ashok

AU - Kennedy, Ryan David

AU - Leatherdale, Scott T.

PY - 2019/3/1

Y1 - 2019/3/1

N2 - Background: Youth may use a variety of tobacco products and e-cigarettes. However, there is a lack of evidence for the combinations of tobacco products and e-cigarettes commonly used by youth in Canada and whether youth from different usage classes share similar characteristics. Methods: A cohort of 9th grade students from Ontario, Canada was identified at baseline (2013–14) of the COMPASS study (n = 4651). Classes of youth that currently use similar combinations of tobacco products and e-cigarettes were identified at baseline, one (FY1) and two years later (FY2) using latent class analysis. Multinomial logistic regression models identified demographic and behavioural characteristics (e.g., environmental influences, substance use behaviours, etc.) of youth in current tobacco and e-cigarette use classes relative to youth in non-current use classes. Results: At baseline, a three-class model was identified as best, while a four-class model was identified at FY1 and FY2. A non-current use group and an all-product use group were identified every year. Students that reported having friends that smoked cigarettes, binge drinking, and using marijuana were more likely to be classified into a current use class. Conclusions: Tobacco cigarettes were more likely to be used with other products than on their own. An all-product use group was identified across all three survey waves and the prevalence of this group increased over time. Given that many youth in this study used more than one tobacco product or e-cigarette and commonly reported binge drinking and using marijuana, prevention and cessation activities should address the use of multiple products.

AB - Background: Youth may use a variety of tobacco products and e-cigarettes. However, there is a lack of evidence for the combinations of tobacco products and e-cigarettes commonly used by youth in Canada and whether youth from different usage classes share similar characteristics. Methods: A cohort of 9th grade students from Ontario, Canada was identified at baseline (2013–14) of the COMPASS study (n = 4651). Classes of youth that currently use similar combinations of tobacco products and e-cigarettes were identified at baseline, one (FY1) and two years later (FY2) using latent class analysis. Multinomial logistic regression models identified demographic and behavioural characteristics (e.g., environmental influences, substance use behaviours, etc.) of youth in current tobacco and e-cigarette use classes relative to youth in non-current use classes. Results: At baseline, a three-class model was identified as best, while a four-class model was identified at FY1 and FY2. A non-current use group and an all-product use group were identified every year. Students that reported having friends that smoked cigarettes, binge drinking, and using marijuana were more likely to be classified into a current use class. Conclusions: Tobacco cigarettes were more likely to be used with other products than on their own. An all-product use group was identified across all three survey waves and the prevalence of this group increased over time. Given that many youth in this study used more than one tobacco product or e-cigarette and commonly reported binge drinking and using marijuana, prevention and cessation activities should address the use of multiple products.

KW - Adolescence

KW - Electronic cigarette

KW - Latent class analysis

KW - Tobacco use

UR - http://www.scopus.com/inward/record.url?scp=85055273717&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85055273717&partnerID=8YFLogxK

U2 - 10.1016/j.addbeh.2018.10.026

DO - 10.1016/j.addbeh.2018.10.026

M3 - Article

VL - 90

SP - 77

EP - 84

JO - Addictive Behaviors

JF - Addictive Behaviors

SN - 0306-4603

ER -