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BACKGROUND: Cyberbullying, has concerned professionals due to increased use of media over time and as predicted, this type of bullying is fairly common among adolescents. We aimed to define the prevalence of cyberbullying and cyber victimization, examine relationships between problematic smartphone (SP) use (PSU), psychiatric symptoms and emotion regulation difficulties in a clinical adolescent sample. Also, we aimed to predict risk factors of being an E-Victim and E-Bully. METHODS: One hundred and fifty adolescents have recruited the study. Demographic Information Form, Problematic Mobile Phone Usage Scale, Brief Symptom Inventory, Difficulties in Emotion Regulation Scale, E-Victimization-E-Bullying Scale were filled out by adolescents. RESULTS: Our results indicated that the prevalence of cybervictimization and cyberbullying were 62.6% and 53.3%, respectively. BEVEB (Both E-Victim and E-Bully) group adolescents were older than NVB (Non-Victim/Bully) groups. Access internet via own SP, PSU, problems in strategies and impulse control and were significantly higher and "lack of awareness" scores were significantly lower in BEVEB group than others. In addition, when compared with OEV (only E-Victims) group, BEVEB group had also higher hostility scores. Logistic regression analysis revealed that high scores of "lack of awareness" and higher E-bullying scores increase the risk of being an E-Victim; and higher scores of hostility and E-victimization and lower scores of "lack of awareness" (in other words being more aware of feelings) increase the risk of being an E-bully. CONCLUSIONS: According to analyses, contrary to our expectations, PSU was important but not an independent predictor of being an E-Victim/E-Bully. Our results also demonstrated an interesting finding: lack of awareness is a risk factor for being an E-victim. We interpreted this result as could not be aware of feelings increase the victimization risk. On the other hand, E-Bullies have higher hostility and victimization while having lower "lack of awareness" scores. It could be speculated that, re-victimization and being aware of hostility feelings could increase the cyberbullying among adolescents. In addition being an E-Bully could be a consequence of being an E-victim and increasing hostility and awareness over time. These results should be reexamined in larger clinical samples.

Objective: This study investigated the effects of sluggish cognitive tempo (SCT), other psychiatric symptoms, age, dose, and pretreatment ADHD severity on methylphenidate (MPH) treatment response among ADHD children in both home and school. In addition, the predictors of the MPH-SCT treatment response were examined. Methods: One hundred eighty-five (6–12 years old) ADHD children who were treated with MPH included in the study. Results: MPH improved SCT total and SCT-Daydreaming scores both at home and school while improved SCT-Sluggish scores in only school. Higher pretreatment Daydreaming score predicted lower treatment response for inattention ( B = .301, p = .002), and higher Daydreaming-Sluggish scores predicted lower treatment response for total ADHD symptoms at school ( B = .456, p = .006; B = .888, p = .04, respectively). Also higher oppositional defiant disorder symptoms have negative effects on MPH treatment response in ADHD. Older age positively affected the MPH-SCT treatment response in paternal and teacher ratings. Conclusion: SCT symptoms have negative effects on MPH treatment response at school.

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