Boccio Cashen M, Leal Wanda E, Jackson Dylan B
Department of Criminology & Criminal Justice, The University of Texas at San Antonio, USA.
Department of Criminal Justice and Criminology, Sam Houston State University, USA.
Drug Alcohol Depend. 2022 Jun 1;235:109446. doi: 10.1016/j.drugalcdep.2022.109446. Epub 2022 Apr 8.
Emerging research suggests that adolescent patterns of socializing have shifted in recent years towards more virtual socializing and less traditional in-person socializing. At present, limited research has explored how this shift in socializing may influence outcomes traditionally linked with in-person socializing among adolescents (i.e., substance use).
This paper addresses this gap in the literature by utilizing logistic regression techniques to examine the relationship between virtual socializing and an emerging form adolescent substance use (i.e., vaping) using data from the 2018 Monitoring the Future (MTF) cohort.
Our findings reveal that time spent socializing in the virtual sphere is significantly associated with a greater likelihood of vaping nicotine, marijuana, and flavor. In addition, our findings reveal that while the relationship between virtual socializing and vaping is attenuated by unstructured socializing (i.e., unsupervised socializing or "hanging out") in person to some degree, time spent socializing virtually is still a significant predictor of adolescent vaping activity even after taking time spent socializing in person into account.
In conclusion, our findings indicate that virtual socializing is an important predictor of adolescent vaping activity. The implications of these findings for policy are discussed.
新出现的研究表明,近年来青少年的社交模式已转向更多的虚拟社交,而传统的面对面社交则减少。目前,有限的研究探讨了这种社交方式的转变如何影响传统上与青少年面对面社交相关的结果(即物质使用)。
本文通过运用逻辑回归技术,利用2018年未来监测(MTF)队列的数据,研究虚拟社交与一种新出现的青少年物质使用形式(即电子烟使用)之间的关系,以填补文献中的这一空白。
我们的研究结果显示,在虚拟领域花费的社交时间与吸食尼古丁、大麻和调味电子烟的可能性显著相关。此外,我们的研究结果表明,虽然虚拟社交与电子烟使用之间的关系在一定程度上因面对面的无组织社交(即无监督社交或“闲逛”)而减弱,但即使在考虑了面对面社交时间之后,在虚拟环境中花费的社交时间仍然是青少年电子烟使用活动的一个重要预测因素。
总之,我们的研究结果表明虚拟社交是青少年电子烟使用活动的一个重要预测因素。讨论了这些发现对政策的影响。