Associations of risk factors of e-cigarette and cigarette use and susceptibility to use among baseline PATH study youth participants (2013–2014)

Michael D. Sawdey, Hannah R. Day, Blair Coleman, Lisa D. Gardner, Sarah E. Johnson, Jean Limpert, Hoda T. Hammad, Maciej L. Goniewicz, David Abrams, Cassandra A. Stanton, Jennifer L. Pearson, Annette R. Kaufman, Heather L. Kimmel, Cristine D. Delnevo, Wilson M. Compton, Maansi Bansal-Travers, Raymond Niaura, Andrew Hyland, Bridget K. Ambrose

Research output: Contribution to journalArticle

Abstract

Introduction: Improved understanding of the distribution of traditional risk factors of cigarette smoking among youth who have ever used or are susceptible to e-cigarettes and cigarettes will inform future longitudinal studies examining transitions in use. Methods: Multiple logistic regression analysis was conducted using data from youth (ages 12–17 years) who had ever heard of e-cigarettes at baseline of the PATH Study (n = 12,460) to compare the distribution of risk factors for cigarette smoking among seven mutually exclusive groups based on ever cigarette/e-cigarette use and susceptibility status. Results: Compared to committed never users, youth susceptible to e-cigarettes, cigarettes, or both had increasing odds of risk factors for cigarette smoking, with those susceptible to both products at highest risk, followed by cigarettes and e-cigarettes. Compared to e-cigarette only users, dual users had higher odds of nearly all risk factors (aOR range = 1.6–6.8) and cigarette only smokers had higher odds of other (non-e-cigarette) tobacco use (aOR range = 1.5–2.3), marijuana use (aOR = 1.9, 95%CI = 1.4–2.5), a high GAIN substance use score (aOR = 1.9, 95%CI = 1.1–3.4), low academic achievement (aOR range = 1.6–3.4), and exposure to smoking (aOR range = 1.8–2.1). No differences were observed for externalizing factors (depression, anxiety, etc.), sensation seeking, or household use of non-cigarette tobacco. Conclusions: Among ever cigarette and e-cigarette users, dual users had higher odds of reporting traditional risk factors for smoking, followed by single product cigarette smokers and e-cigarette users. Understanding how e-cigarette and cigarette users differ may inform youth tobacco use prevention efforts and advise future studies assessing probability of progression of cigarette and e-cigarette use.

Original languageEnglish (US)
JournalAddictive Behaviors
DOIs
StateAccepted/In press - Jan 1 2018

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Tobacco Products
Smoking
Tobacco
Tobacco Use
Cannabis

Keywords

  • Cigarettes
  • E-cigarettes
  • Risk factors of tobacco use
  • Susceptibility

ASJC Scopus subject areas

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

Cite this

Associations of risk factors of e-cigarette and cigarette use and susceptibility to use among baseline PATH study youth participants (2013–2014). / Sawdey, Michael D.; Day, Hannah R.; Coleman, Blair; Gardner, Lisa D.; Johnson, Sarah E.; Limpert, Jean; Hammad, Hoda T.; Goniewicz, Maciej L.; Abrams, David; Stanton, Cassandra A.; Pearson, Jennifer L.; Kaufman, Annette R.; Kimmel, Heather L.; Delnevo, Cristine D.; Compton, Wilson M.; Bansal-Travers, Maansi; Niaura, Raymond; Hyland, Andrew; Ambrose, Bridget K.

In: Addictive Behaviors, 01.01.2018.

Research output: Contribution to journalArticle

Sawdey, MD, Day, HR, Coleman, B, Gardner, LD, Johnson, SE, Limpert, J, Hammad, HT, Goniewicz, ML, Abrams, D, Stanton, CA, Pearson, JL, Kaufman, AR, Kimmel, HL, Delnevo, CD, Compton, WM, Bansal-Travers, M, Niaura, R, Hyland, A & Ambrose, BK 2018, 'Associations of risk factors of e-cigarette and cigarette use and susceptibility to use among baseline PATH study youth participants (2013–2014)', Addictive Behaviors. https://doi.org/10.1016/j.addbeh.2018.11.027
Sawdey, Michael D. ; Day, Hannah R. ; Coleman, Blair ; Gardner, Lisa D. ; Johnson, Sarah E. ; Limpert, Jean ; Hammad, Hoda T. ; Goniewicz, Maciej L. ; Abrams, David ; Stanton, Cassandra A. ; Pearson, Jennifer L. ; Kaufman, Annette R. ; Kimmel, Heather L. ; Delnevo, Cristine D. ; Compton, Wilson M. ; Bansal-Travers, Maansi ; Niaura, Raymond ; Hyland, Andrew ; Ambrose, Bridget K. / Associations of risk factors of e-cigarette and cigarette use and susceptibility to use among baseline PATH study youth participants (2013–2014). In: Addictive Behaviors. 2018.
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abstract = "Introduction: Improved understanding of the distribution of traditional risk factors of cigarette smoking among youth who have ever used or are susceptible to e-cigarettes and cigarettes will inform future longitudinal studies examining transitions in use. Methods: Multiple logistic regression analysis was conducted using data from youth (ages 12–17 years) who had ever heard of e-cigarettes at baseline of the PATH Study (n = 12,460) to compare the distribution of risk factors for cigarette smoking among seven mutually exclusive groups based on ever cigarette/e-cigarette use and susceptibility status. Results: Compared to committed never users, youth susceptible to e-cigarettes, cigarettes, or both had increasing odds of risk factors for cigarette smoking, with those susceptible to both products at highest risk, followed by cigarettes and e-cigarettes. Compared to e-cigarette only users, dual users had higher odds of nearly all risk factors (aOR range = 1.6–6.8) and cigarette only smokers had higher odds of other (non-e-cigarette) tobacco use (aOR range = 1.5–2.3), marijuana use (aOR = 1.9, 95{\%}CI = 1.4–2.5), a high GAIN substance use score (aOR = 1.9, 95{\%}CI = 1.1–3.4), low academic achievement (aOR range = 1.6–3.4), and exposure to smoking (aOR range = 1.8–2.1). No differences were observed for externalizing factors (depression, anxiety, etc.), sensation seeking, or household use of non-cigarette tobacco. Conclusions: Among ever cigarette and e-cigarette users, dual users had higher odds of reporting traditional risk factors for smoking, followed by single product cigarette smokers and e-cigarette users. Understanding how e-cigarette and cigarette users differ may inform youth tobacco use prevention efforts and advise future studies assessing probability of progression of cigarette and e-cigarette use.",
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AU - Day, Hannah R.

AU - Coleman, Blair

AU - Gardner, Lisa D.

AU - Johnson, Sarah E.

AU - Limpert, Jean

AU - Hammad, Hoda T.

AU - Goniewicz, Maciej L.

AU - Abrams, David

AU - Stanton, Cassandra A.

AU - Pearson, Jennifer L.

AU - Kaufman, Annette R.

AU - Kimmel, Heather L.

AU - Delnevo, Cristine D.

AU - Compton, Wilson M.

AU - Bansal-Travers, Maansi

AU - Niaura, Raymond

AU - Hyland, Andrew

AU - Ambrose, Bridget K.

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N2 - Introduction: Improved understanding of the distribution of traditional risk factors of cigarette smoking among youth who have ever used or are susceptible to e-cigarettes and cigarettes will inform future longitudinal studies examining transitions in use. Methods: Multiple logistic regression analysis was conducted using data from youth (ages 12–17 years) who had ever heard of e-cigarettes at baseline of the PATH Study (n = 12,460) to compare the distribution of risk factors for cigarette smoking among seven mutually exclusive groups based on ever cigarette/e-cigarette use and susceptibility status. Results: Compared to committed never users, youth susceptible to e-cigarettes, cigarettes, or both had increasing odds of risk factors for cigarette smoking, with those susceptible to both products at highest risk, followed by cigarettes and e-cigarettes. Compared to e-cigarette only users, dual users had higher odds of nearly all risk factors (aOR range = 1.6–6.8) and cigarette only smokers had higher odds of other (non-e-cigarette) tobacco use (aOR range = 1.5–2.3), marijuana use (aOR = 1.9, 95%CI = 1.4–2.5), a high GAIN substance use score (aOR = 1.9, 95%CI = 1.1–3.4), low academic achievement (aOR range = 1.6–3.4), and exposure to smoking (aOR range = 1.8–2.1). No differences were observed for externalizing factors (depression, anxiety, etc.), sensation seeking, or household use of non-cigarette tobacco. Conclusions: Among ever cigarette and e-cigarette users, dual users had higher odds of reporting traditional risk factors for smoking, followed by single product cigarette smokers and e-cigarette users. Understanding how e-cigarette and cigarette users differ may inform youth tobacco use prevention efforts and advise future studies assessing probability of progression of cigarette and e-cigarette use.

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KW - Risk factors of tobacco use

KW - Susceptibility

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