While the prevalence of young people’s conventional cigarette use has decreased in many countries, the use of e-cigarettes has risen. To effectively counteract the growing popularity of e-cigarettes among young people internationally, researchers should know the exact prevalence as well as the protective and risk factors associated with vaping. Based on five eligibility criteria, 53 articles were chosen and analyzed by general characteristics, prevalence, sample characteristics, gender difference, protective factors, and risk factors. In this study, the international pooled prevalence of young people’s lifetime e-cigarette use was 15.3%, the current use was 7.7%, and dual use was 4.0%. While the highest lifetime, current, and dual prevalence were found in Sweden, Canada, and the United Kingdom, respectively, the lowest prevalence was found in Germany, followed by South Korea and Sweden. Some protective and risk factors include perceived cost and danger of vaping, parental monitoring, internal developmental assets, cigarette use, family and peer smoking, exposure to online advertisements, and the presence of nearby retail stores. Based on this review, researchers and practitioners can develop different intervention programs and strategies for young smokers.

This study comprehensively examined the effects of treatment interventions for Internet addiction among adolescents in South Korea through a meta-analysis. We analyzed 70 domestic master's theses and journal articles that reported on controlled studies and involved pre- and post-test analyses in the design. The dates of these publications fall between 2000 and 2015. The total effect size, calculated by random-effect analysis (g), revealed that interventions for the treatment of Internet addiction were effective (ES = 1.838). Meta-ANOVAs revealed differences between groups based on a theoretical model, intervention group size, and intervention duration. Integrative therapy produced larger effect sizes (ES = 2.794) compared to other treatment models such as cognitive behavioral therapy and reality therapy. Effect sizes for interventions, including nine to 12 people (ES = 2.178), were larger than those of interventions including more or fewer participants. Finally, treatment interventions that lasted 8 or more weeks revealed larger effect sizes (ES = 2.294) compared to shorter interventions. The study findings suggest directions for the development and effective operation of future Internet addiction interventions among Korean adolescents. Increasing the effectiveness of these interventions requires an integrative theoretical model, an intervention group size of nine to 12 participants, and a long-term intervention.

Background: Cyberbullying victimization and suicidal ideation are both ongoing deleterious social problems in South Korea. Using the social-ecological approach, this study examined the association between cyberbullying victimization and suicidal ideation as well as the buffering role of school connectedness in this relationship. Methods: A nationally representative sample of 7333 adolescents from the 2016 Korean Children and Youth Right Study participated in the study. Data were analyzed using descriptive statistics, Wald chi-square test, bivariate correlations, and multivariate logistic regression analyses. Results: Nearly 17.7% of adolescents were cyberbullied, and 28.4% had suicidal ideation in the past 12 months. Cyberbullying victims were at an increased risk of suicidal ideation. The results also found that parental abuse, family dysfunction, and perceived peer relationship stress were positively associated with suicidal ideation, while parental support for autonomy was negatively associated with suicidal ideation. Further, school connectedness moderated on the relationship between cyberbullying victimization and adolescent suicidal ideation. Conclusions: These findings suggest that various stakeholders should consider interventions and preventive programs that address school connectedness when working with adolescents who are victims of cyberbullying and exhibit suicidal behavior.

This study examines smoking behavior in a sample of 231 opioid‐dependent clients entering therapeutic community treatment, and investigates the relationship between smoking behavior and drug treatment outcomes. We applied regression analyses for selected Addiction Severity Index composites (alcohol, drug, medical, psychiatric), including factors for smoking (number of cigarettes per day, expired‐air carbon monoxide level, nicotine dependence), time (baseline, 6 and 12‐month), and smoking‐by‐time interaction. This study confirmed a high smoking prevalence (95%) among opioid users. Among participants interviewed at all time points (n = 206), 13% shifted from smoking to non‐smoking status at some time after admission. Participants who reported a greater number of cigarettes were more likely to report higher drug severity at any time point.