TY - JOUR
T1 - Bidirectional associations between e-cigarette use and alcohol use across adolescence
AU - Lozano, Alyssa
AU - Liu, Feifei
AU - Lee, Tae Kyoung
AU - Prado, Guillermo
AU - Schwartz, Seth J.
AU - Leventhal, Adam M.
AU - Kelleghan, Annemarie R.
AU - Unger, Jennifer B.
AU - Barrington-Trimis, Jessica L.
N1 - Funding Information:
Research reported in this publication was supported by grant numbers K01DA042950 and R01DA033296 from the National Institute for Drug Abuse at NIH, grant R01CA229617 from the National Cancer Institute, grant U54CA180905 from the National Cancer Institute and Food and Drug Administration Center for Tobacco Products, and grant 27-IR-0034 from the Tobacco Related Disease Research Program (TRDRP). The funder had no role in the design and conduct of the study; collection, management, analysis, or interpretation of the data; preparation, review, or approval of the manuscript; or decision to submit the manuscript for publication.
Funding Information:
Research reported in this publication was supported by grant numbers K01DA042950 and R01DA033296 from the National Institute for Drug Abuse at NIH, grant R01CA229617 from the National Cancer Institute , grant U54CA180905 from the National Cancer Institute and Food and Drug Administration Center for Tobacco Products , and grant 27-IR-0034 from the Tobacco Related Disease Research Program (TRDRP) .
Publisher Copyright:
© 2021 Elsevier B.V.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/3/1
Y1 - 2021/3/1
N2 - Introduction: Evidence on prospective bidirectional associations between e-cigarette and alcohol use among adolescents can inform prevention and policy but is largely absent from the literature. Methods: Data were drawn from a prospective cohort of students attending 10 Los Angeles high schools (N = 3396; baseline mean age = 14.1, SD = 0.4). Students completed surveys every 6-months from 2013 to 2017; 8 total waves. Analyses were restricted to (a) individuals who were never users of alcohol (N = 2394) or (b) individuals who were never users of e-cigarettes (N = 2704) at baseline. Repeated-measures, generalized linear mixed models were used to estimate the adjusted odds of past 6-month alcohol and e-cigarette initiation, in separate models. Results: Among alcohol never-users at baseline, 15.7 % (N = 375) initiated alcohol use over the study period. Compared to never-users of e-cigarettes, those who reported use of e-cigarettes had 3.5 times the odds of subsequently initiating alcohol use in the following wave (OR = 3.54; 95 % CI: 2.81, 4.47). Stronger associations were observed for males (OR = 4.94; 95 % CI: 3.78, 6.45) than for females (OR = 3.21; 95 % CI: 2.33, 4.41; pinteraction = 0.04). Among e-cigarette never-users at baseline, 26.3 % (N = 709) initiated e-cigarette use over the study period. Compared to never-users of alcohol, those who reported use of alcohol had 3.2 times the odds of subsequently initiating e-cigarette use in the following wave (OR = 3.23; 95 % CI: 2.68, 3.89). This association did not differ by gender. Conclusions: E-cigarette and alcohol use can be markers to identify youth at risk for future alcohol and e-cigarette use, respectively. Research examining mechanisms underlying these associations is needed to infer causality.
AB - Introduction: Evidence on prospective bidirectional associations between e-cigarette and alcohol use among adolescents can inform prevention and policy but is largely absent from the literature. Methods: Data were drawn from a prospective cohort of students attending 10 Los Angeles high schools (N = 3396; baseline mean age = 14.1, SD = 0.4). Students completed surveys every 6-months from 2013 to 2017; 8 total waves. Analyses were restricted to (a) individuals who were never users of alcohol (N = 2394) or (b) individuals who were never users of e-cigarettes (N = 2704) at baseline. Repeated-measures, generalized linear mixed models were used to estimate the adjusted odds of past 6-month alcohol and e-cigarette initiation, in separate models. Results: Among alcohol never-users at baseline, 15.7 % (N = 375) initiated alcohol use over the study period. Compared to never-users of e-cigarettes, those who reported use of e-cigarettes had 3.5 times the odds of subsequently initiating alcohol use in the following wave (OR = 3.54; 95 % CI: 2.81, 4.47). Stronger associations were observed for males (OR = 4.94; 95 % CI: 3.78, 6.45) than for females (OR = 3.21; 95 % CI: 2.33, 4.41; pinteraction = 0.04). Among e-cigarette never-users at baseline, 26.3 % (N = 709) initiated e-cigarette use over the study period. Compared to never-users of alcohol, those who reported use of alcohol had 3.2 times the odds of subsequently initiating e-cigarette use in the following wave (OR = 3.23; 95 % CI: 2.68, 3.89). This association did not differ by gender. Conclusions: E-cigarette and alcohol use can be markers to identify youth at risk for future alcohol and e-cigarette use, respectively. Research examining mechanisms underlying these associations is needed to infer causality.
KW - Adolescence
KW - Alcohol
KW - Longitudinal analysis
KW - Tobacco
KW - e-Cigarettes
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U2 - 10.1016/j.drugalcdep.2020.108496
DO - 10.1016/j.drugalcdep.2020.108496
M3 - Article
C2 - 33461153
AN - SCOPUS:85099319655
VL - 220
JO - Drug and Alcohol Dependence
JF - Drug and Alcohol Dependence
SN - 0376-8716
M1 - 108496
ER -
