University at Buffalo, School of Nursing, 3435 Main St. University at Buffalo, Buffalo, NY, 14214-8013, United States.
Clinical and Research Institute on Addictions, Department of Psychology, 1021 Main Street, Buffalo, NY 14203-1016, United States.
Addict Behav. 2020 Apr;103:106213. doi: 10.1016/j.addbeh.2019.106213. Epub 2019 Dec 9.
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.
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.
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.
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.
随着电子烟(e-cigarette)在青少年中的使用越来越普遍,越来越多的证据表明电子烟的使用与其他物质的使用有关。电子烟使用是否存在一个可预测其他物质使用的阈值水平尚不清楚。本研究考察了一段时间内电子烟使用的模式,并确定青少年早期电子烟使用的不同模式是否与青少年后期的酒精和大麻使用同时发生和具有前瞻性关联。
801 名青少年(基线招募时年龄为 13-15 岁)在两年内完成了五次在线调查。潜在类别增长分析用于对电子烟、酒精(醉酒)和大麻使用的不同发展轨迹进行建模。逻辑回归用于测试电子烟使用轨迹模式与酒精和大麻使用轨迹之间的关联。
确定了三种电子烟使用的发展轨迹:1)高且增加,2)低且增加,3)从不。与从未使用过电子烟的青少年相比,其他两组青少年更有可能醉酒,并且更有可能处于中度和增加的大麻使用组。
高水平和低水平的电子烟使用模式都与其他物质(酒精和大麻使用)的使用随时间增加有关。研究结果强调了需要对青少年进行早期干预和预防电子烟使用。