Objective: In this first study on the patients who applied to the Probation Ward in the Eastern Anatolian Region of Erzurum province, it is aimed to compare the sociodemographic data of the patients with the substance use characteristics and other legal crimes.

Method: Between December 2015 and February 2016, 132 patients who applied for the first time to the Erzurum DS polyclinic were included in the study. The sociodemographic data form prepared by the researchers participating in the research was applied.

Results: All of the 132 cases involved in the study were men. While 49.2% of the patients had multiple substance use, cannabis was found to be the highest substance alone at 45.4% level. We found that smoking and alcohol use started earlier than substance use and that alcohol and cigarette use were high. Considering the impact of multiple substance use on the sociodemographic data, a significant difference was found between early substance use age, substance abuse existence in the past month, the first cigarette smoking age, self-harm behavior presence, the existence of additional criminal cases and the existence of previous psychiatric treatment history. There was a significant positive correlation between the age of first substance use and the age, the age of first cigarette use and the age of first alcohol use. Finally, when the groups with and without prison stories are compared in terms of self-harm behavior, a significant difference was found.

Conclusion: Reviewing the sociodemographic data of individuals with probation application will guide clinicians in defining the group in which more preventive measures will be taken for substance use.

Aim: The purpose of this study is to compare the university students having diagnosed as internet addicted and internet non-addicted in terms of the theory of mind.

Methods: The study group consisted 50 undergraduate students at Üsküdar University. 25 students diagnosed an internet addicted composed the study group. 25 students who have same sex with the study group subjects, however do not have any internet addiction, composed the study group.

Results: The average age of the students is 22.74±1.45. Data was collected by using sociodemographic data form, Internet Addiction Scale and the Dokuz Eylül Theory of Mind Scale. The study group found to have statistically significantly lower scores in theory of Mind Scale, when compared to the control group.

Conclusion: This result suggests that internet addiction may affect the students’ social interaction, emotional and cognitive processing.

Objective: Considering the increasing use of the internet among university students, medical faculty students are thought to be particularly sensitive because of the time they spend on the internet and because of intensive practical and theoretical course schedules. In this study, we aimed to examine the prevalence of internet addiction and also relationship between internet addiction and excessive daytime sleepiness and quality of life. among the medicine faculty students. We aimed to examine the prevalence of internet addiction and also relationship between internet addiction and excessive daytime sleepiness and quality of life among medical faculty students.

Method: This study was carried out among the students of Erzurum Atatürk University Medical Faculty. In this cross-sectional study, sociodemographic data form created by researchers, Young Internet Addiction Scale, SF-36 and Epworth Sleepiness Scale were applied after the signing of the voluntary affirmation document to the medical faculty students.

Results: A total of 274 medical faculty students from various classes were included in the study. 61,32% of the students were found to have internet addiction. 53.28% of them were at mild level, 8,04% of them were at moderate level. There was a positive correlation between internet addiction scale total score and epworth sleepiness scale total score. There was negative correlation between internet addiction and each subscale of SF 36.

Conclusion: This study is the first study to evaluate internet addiction, excessive daytime sleepiness and quality of life among medical faculty students. In our study group internet addiction was determined as one of the reasons for excessive daytime sleepiness. That’s why we must focus on the treatment of internet addiction which is a serious problem in social context in recent years.

Objective: The objective of this study was to adapt the “Bergen Facebook Addiction Scale (BFAS)” developed by Adreassen et al (1) into Turkish, and to evaluate the reliability and validity of the Turkish version of the Bergen Facebook Addiction among university students.
Method: The study was conducted in 2015 at Uskudar University and Yeditepe University (Istanbul-Turkey) with a total of 300 students from different majors and age groups. The draft scale was finalized after being translated and corrected by experts in the relevant fields. To determine the validity of the scale; factor analysis was performed and the results revealed that, of the 6 items reflecting the six core elements. It was detected that all items were distinctive with respect to relationship of each item with its related factor. Reliability level was determined by test – retest and internal consistency analysis. In addition, to test the criterion dependence validity of the scale, the correlation between the data gathered from Bergen Facebook Addiction Scale was analyzed respectively with data collected from the Smartphone Addiction Scale, Facebook Use Variance and Facebook Addiction Self-evaluation.
Results: The internal consistency coefficient was calculated using the Cronbach’s Alpha formula and gave a result of crα= .89. The 3-week test-retest validity Cronbach’s alpha was .76 for the six-item Bergen Facebook Addiction Scale. The factor analysis and testretest results confirmed the reliability and validity of the 6-item scale.
Conclusion: Bergen Facebook Addiction Scale is able to measure reliably, and the scale is a valid and reliable tool to be employed in a clinical environment to predict addiction levels of individuals regarding Facebook use in the Turkish society as well.

Aim: It is aimed to determine the association between the indications of acute agitation call, applied treatment, applied restraint and seclusion with the
sociodemographical and clinical characteristics of psychopathology.
Method: Among inpatients in a private psychiatry hospital, medical records of whom has a form filled for acute agitation between June 2013-April 2014 examined
retrospectively, 137 medical records enrolled. Acute intervation form and brief psychiatric rating scale points that had been filled in the same day were determined.
Results: In the duration of the study acute agitation call applied for 16.4% of inpatients, 1.9% were restrained, 8% were secluded and 9.4% were given acute medication.
While the applied physical restraint and seclusion rates did not differ during the day, drug applications were found in higher rates during daytime hours (p<0.05). According to the hours of application, the duration of physical restraints were constant throughout the day while the duration of seclusions were longer in the night hours (p<0.05). The most common causes of acute agitation were aggression, threat of violence and treatment rejection. There was no difference approaches to acute agitation in terms of the diagnosis. The majority of selected drug treatments for acute agitation were intramuscular injections. No association was found between scale scores and the duration of any application.
Conclusion: Lower rates of restraints in our study could be associated with that the sample of this study was chosen from a private psychiatry hospital. There is need
for further training among treatment team and studies in this area to shed light on the development of approaches.