Alyssa Lozano1, Feifei Liu2, Tae Kyoung Lee1, Guillermo Prado3, Seth J Schwartz4, Adam M Leventhal2, Annemarie R Kelleghan5, Jennifer B Unger2, Jessica L Barrington-Trimis6. 1. Department of Public Health Sciences, University of Miami Miller School of Medicine, 1120 NW 14th Street, Miami, FL, 33136, USA. 2. Department of Preventive Medicine, Keck School of Medicine, University of Southern California, 2001 N. Soto Street, Los Angeles, CA, 90089, USA. 3. School of Nursing and Health Studies, University of Miami, Coral Gables, FL, 33143, USA. 4. Department of Public Health Sciences, University of Miami Miller School of Medicine, 1120 NW 14th Street, Miami, FL, 33136, USA; Departments of Kinesiology, Health Education, and Counseling Psychology, College of Education, University of Texas at Austin, 1912 Speedway, Stop D5000, Austin, TX, 78712, USA. 5. Department of Preventive Medicine, Keck School of Medicine, University of Southern California, 2001 N. Soto Street, Los Angeles, CA, 90089, USA; Department of Psychology, University of Southern California, 3620 S. McClintock Ave. SGM 501, Los Angeles, CA, 90089, USA. 6. Department of Preventive Medicine, Keck School of Medicine, University of Southern California, 2001 N. Soto Street, Los Angeles, CA, 90089, USA. Electronic address: jtrimis@usc.edu.
Abstract
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.
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.
Authors: Craig R Colder; Jennifer P Read; William F Wieczorek; Rina D Eiden; Liliana J Lengua; Larry W Hawk; Elisa M Trucco; Hector I Lopez-Vergara Journal: J Early Adolesc Date: 2015-10-21
Authors: Meghan E Morean; Grace Kong; Dana A Cavallo; Deepa R Camenga; Suchitra Krishnan-Sarin Journal: Drug Alcohol Depend Date: 2016-08-24 Impact factor: 4.492
Authors: Samir Soneji; Jessica L Barrington-Trimis; Thomas A Wills; Adam M Leventhal; Jennifer B Unger; Laura A Gibson; JaeWon Yang; Brian A Primack; Judy A Andrews; Richard A Miech; Tory R Spindle; Danielle M Dick; Thomas Eissenberg; Robert C Hornik; Rui Dang; James D Sargent Journal: JAMA Pediatr Date: 2017-08-01 Impact factor: 16.193