Darko Roviš

Patterns of internet use and mental health of high school students in Istria County Croatia: cross-sectional study.

Aim To examine associations between different forms of internet use and a number of psychological variables related to mental health in adolescents. Methods A cross-sectional survey was carried out on a representative sample of students (N = 1539) from all high schools in the region of Istria in Croatia (14-19 years). The associations between four factors of internet use and nine mental health indicators were analyzed using canonical correlation analysis. Results The four canonical functions suggested a significant association between different types of internet use and specific indicators of mental health (P < 0.001). Problematic internet use, more typical among boys, was associated with general aggressive behavior and substance abuse (P < 0.001). Experiences of harassment, more typical among girls, were associated with health complaints, symptoms of depression, loneliness, and fear of negative evaluation (P < 0.001). Using the internet for communication and entertainment was associated with better relationships with peers (P < 0.001), while use of the internet for academic purposes was associated with conscientiousness (P < 0.001). Conclusion The results suggest that different patterns of internet use are significantly associated with specific sets of positive and negative mental health indicators. The data support the assumption that internet use can have both positive and adverse effects on the mental health of youth.

Increased Risk-Taking Behaviour and Brain-Derived Neurotrophic Factor Val66Met Polymorphism Correlates to Decreased Serum Brain-Derived Neurotrophic Factor Level in Heroin Users

Background: This study has examined the relationships and interactions between serum brain-derived neurotrophic factor (BDNF) levels, BDNF Val66Met polymorphism and self-reported risk-taking behaviour in individuals with a history of heroin use undergoing outpatient treatment in comparison to healthy individuals. Methods: We enrolled 167 heroin users and 86 healthy subjects and examined serum BDNF levels, Val66Met polymorphism, and personal characteristics using Connor Davidson Resilience Scale, Risk-taking (RT) propensity questionnaire, and Personality Assessment Inventory. Results: Heroin users had significantly higher serum BDNF levels than controls. In addition, serum BDNF levels were significantly higher in Val/Val carriers than in Met/Val or Met/Met in all recruited subjects. Furthermore, a stepwise multiple regression analysis of serum BDNF levels as a dependent variable with related factors showed that in heroin users, Alcohol Use Disorder Identification Test score, anxiety and RT score were found as independent contributors to serum BDNF levels. When performing gene-environment interaction it was additionally found that heroin users with self-reported high risk-taking behaviour had significantly lower levels of serum BDNF among heroin users with the Met allele. Conclusions: These results indicate that genetic variant Met66 decreased the serum BDNF levels in combination with self-reported risk-taking propensity among heroin users. If results of future work confirm the influence of this combined effect between neurotrophic genotype and risk-taking behaviour, 66Met carriers might require higher levels of intervention to overcome their drug use pattern and risky behaviour.