Eunhee Park1, Jennifer A Livingston2, Weijun Wang3, Misol Kwon4, Rina D Eiden5, Yu-Ping Chang6. 1. University at Buffalo, School of Nursing, 3435 Main St. University at Buffalo, Buffalo, NY, 14214-8013, United States. Electronic address: eunheepa@buffalo.edu. 2. University at Buffalo, School of Nursing, 3435 Main St. University at Buffalo, Buffalo, NY, 14214-8013, United States. Electronic address: jal7@buffalo.edu. 3. Clinical and Research Institute on Addictions, Department of Psychology, 1021 Main Street, Buffalo, NY 14203-1016, United States. Electronic address: weijunwa@buffalo.edu. 4. University at Buffalo, School of Nursing, 3435 Main St. University at Buffalo, Buffalo, NY, 14214-8013, United States. Electronic address: misolkwo@buffalo.edu. 5. Pennsylvania State University, Department of Psychology & Consortium for Combatting Substance Abuse, Pennsylvania State University, 140 Moore Building, University Park, PA 16801, United States. Electronic address: rina.eiden@psu.edu. 6. University at Buffalo, School of Nursing, 3435 Main St. University at Buffalo, Buffalo, NY, 14214-8013, United States. Electronic address: yc73@buffalo.edu.
Abstract
INTRODUCTION: As electronic cigarette (e-cigarette) use has become more prevalent among adolescents, there is a growing body of evidence linking e-cigarette use to the initiation of other substances. Whether there is a threshold level of e-cigarette use that is predictive of other substance use is unknown. The current study examines patterns of e-cigarette use over time and determines whether different patterns of early adolescent e-cigarette use are concurrently and prospectively associated with alcohol and marijuana use in late adolescence. METHOD: Eight hundred and one adolescents (13-15 years old at baseline recruitment) completed five on-line surveys over a two-year period. Latent class growth analysis was used to model different developmental courses of e-cigarette, alcohol (drinking to intoxication), and marijuana use. Logistic regression was used to test the association between e-cigarette use trajectory patterns and alcohol and marijuana use trajectories. RESULTS: Three developmental courses of e-cigarette use were identified: 1) high and increasing, 2) low and increasing, and 3) never. Compared to adolescents who had never used e-cigarettes, those in the other two groups were more likely to have been intoxicated and to be in the moderate and increasing marijuana use group. CONCLUSION: Both high and low levels of e-cigarette use patterns are associated with increasing use of other substances (alcohol and marijuana use) over time. Findings highlight the need for early intervention and prevention of e-cigarette use among adolescents.
INTRODUCTION: As electronic cigarette (e-cigarette) use has become more prevalent among adolescents, there is a growing body of evidence linking e-cigarette use to the initiation of other substances. Whether there is a threshold level of e-cigarette use that is predictive of other substance use is unknown. The current study examines patterns of e-cigarette use over time and determines whether different patterns of early adolescent e-cigarette use are concurrently and prospectively associated with alcohol and marijuana use in late adolescence. METHOD: Eight hundred and one adolescents (13-15 years old at baseline recruitment) completed five on-line surveys over a two-year period. Latent class growth analysis was used to model different developmental courses of e-cigarette, alcohol (drinking to intoxication), and marijuana use. Logistic regression was used to test the association between e-cigarette use trajectory patterns and alcohol and marijuana use trajectories. RESULTS: Three developmental courses of e-cigarette use were identified: 1) high and increasing, 2) low and increasing, and 3) never. Compared to adolescents who had never used e-cigarettes, those in the other two groups were more likely to have been intoxicated and to be in the moderate and increasing marijuana use group. CONCLUSION: Both high and low levels of e-cigarette use patterns are associated with increasing use of other substances (alcohol and marijuana use) over time. Findings highlight the need for early intervention and prevention of e-cigarette use among adolescents.
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