TY - JOUR
T1 - Online tobacco marketing and subsequent tobacco use
AU - Soneji, Samir
AU - Yang, Jaewon
AU - Knutzen, Kristin E.
AU - Moran, Meghan Bridgid
AU - Tan, Andy S.L.
AU - Sargent, James
AU - Choi, Kelvin
N1 - Funding Information:
FunDInG: Funded by the National Institutes of Health (NIH).
Funding Information:
aNorris Cotton Cancer Center, Dartmouth-Hitchcock Medical Center and bThe Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine, Dartmouth College, Lebanon, New Hampshire; cWarren Alpert Medical School, Brown University, Providence, Rhode Island; dDepartment of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland; eDivision of Population Sciences, Dana-Farber Cancer Institute, Boston, Massachusetts; fDepartment of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts; and gDivision of Intramural Research, National Institute on Minority Health and Health Disparities, Bethesda, Maryland
Funding Information:
FInancIaL DIscLOsuRe: Dr Moran is supported by the National Institute on Drug Abuse and the US Food and Drug Administration (FDA) Center for Tobacco Products. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health or the FDA. Dr Tan’s effort is supported by the National Cancer Institute and FDA Center for Tobacco Products (R03 CA212544). Dr Choi is supported by the Division of Intramural Research, the National Institute on Minority Health and Health Disparities.
Publisher Copyright:
© 2018 by the American Academy of Pediatrics. All rights reserved.
PY - 2018/2
Y1 - 2018/2
N2 - BACKGROUND: Nearly 2.9 million US adolescents engaged with online tobacco marketing in 2013 to 2014. We assess whether engagement is a risk factor for tobacco use initiation, increased frequency of use, progression to poly-product use, and cessation. METHODS: We analyzed data from 11 996 adolescents sampled in the nationally representative, longitudinal Population Assessment for Tobacco and Health study. At baseline (2013-2014), we ascertained respondents' engagement with online tobacco marketing. At follow-up (2014-2015), we determined if respondents had initiated tobacco use, increased frequency of use, progressed to poly-product use, or quit. Accounting for known risk factors, we fit a multivariable logistic regression model among never-users who engaged at baseline to predict initiation at follow-up. We fit similar models to predict increased frequency of use, progression to poly-product use, and cessation. RESULTS: Compared with adolescents who did not engage, those who engaged reported higher incidences of initiation (19.5% vs 11.9%), increased frequency of use (10.3% vs 4.4%), and progression to poly-product use (5.8% vs 2.4%), and lower incidence of cessation at follow-up (16.1% vs 21.5%). Accounting for other risk factors, engagement was positively associated with initiation (adjusted odds ratio [aOR] = 1.26; 95% confidence interval [CI]: 1.01-1.57), increased frequency of use (aOR = 1.58; 95% CI: 1.24-2.00), progression to poly-product use (aOR = 1.70; 95% CI: 1.20-2.43), and negatively associated with cessation (aOR = 0.71; 95% CI: 0.50-1.00). CONCLUSIONS: Engagement with online tobacco marketing represents a risk factor for adolescent tobacco use. FDA marketing regulation and cooperation of social-networking sites could limit engagement.
AB - BACKGROUND: Nearly 2.9 million US adolescents engaged with online tobacco marketing in 2013 to 2014. We assess whether engagement is a risk factor for tobacco use initiation, increased frequency of use, progression to poly-product use, and cessation. METHODS: We analyzed data from 11 996 adolescents sampled in the nationally representative, longitudinal Population Assessment for Tobacco and Health study. At baseline (2013-2014), we ascertained respondents' engagement with online tobacco marketing. At follow-up (2014-2015), we determined if respondents had initiated tobacco use, increased frequency of use, progressed to poly-product use, or quit. Accounting for known risk factors, we fit a multivariable logistic regression model among never-users who engaged at baseline to predict initiation at follow-up. We fit similar models to predict increased frequency of use, progression to poly-product use, and cessation. RESULTS: Compared with adolescents who did not engage, those who engaged reported higher incidences of initiation (19.5% vs 11.9%), increased frequency of use (10.3% vs 4.4%), and progression to poly-product use (5.8% vs 2.4%), and lower incidence of cessation at follow-up (16.1% vs 21.5%). Accounting for other risk factors, engagement was positively associated with initiation (adjusted odds ratio [aOR] = 1.26; 95% confidence interval [CI]: 1.01-1.57), increased frequency of use (aOR = 1.58; 95% CI: 1.24-2.00), progression to poly-product use (aOR = 1.70; 95% CI: 1.20-2.43), and negatively associated with cessation (aOR = 0.71; 95% CI: 0.50-1.00). CONCLUSIONS: Engagement with online tobacco marketing represents a risk factor for adolescent tobacco use. FDA marketing regulation and cooperation of social-networking sites could limit engagement.
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U2 - 10.1542/peds.2017-2927
DO - 10.1542/peds.2017-2927
M3 - Article
C2 - 29295893
AN - SCOPUS:85041479724
SN - 0031-4005
VL - 141
JO - Pediatrics
JF - Pediatrics
IS - 2
M1 - e20172927
ER -