Objective: Comorbidity of substance use disorders and other psychiatric disorders is common. However, data on the prevalence of substance use disorders in general psychiatric outpatient population is rather scarce.

Method: In order to investigate the prevalence of substance use disorders among the patients who admitted to the general psychiatric outpatient unit and followed with any psychiatric diagnosis, 734 consecutive adult patients were included in this study. Michigan Alcoholism Screening Test–AD was administered to these patients. Substance screening form and SCID-I dependence module were administered to 47 patients (6.4%) who had a MAST-AD score above 4. Later, SCID-II and the rest of SCID-I were administered to 33 patients (4.5%) who met any diagnostic criteria on this module.

Results: From these 734 patients, 33 (4.5%) had alcohol or substance use disorder: Five patients (0.7%) had alcohol dependence, 26 patients (3.5%) had alcohol abuse and 3 patients  (0.4%) had multiple substance dependence. There were 9 patients (1.2%) with cannabis abuse, 4 patients (0.5%) with ecstasy abuse, 1 patient (0.1%) with heroin abuse, 1 patient with (0.1%) biperiden abuse and 9 patients (1.2%) with benzodiazepin abuse. From this 33 patients, 7 (1.0%) patients were diagnosed with borderline personality disorder, 2 (0.3%) with antisocial personality disorder, 1 patient (0.1%) with paranoid personality disorder, 1 patient (0.1%) with narcissistic personality disorder, 2 patients (0.3%) with avoidant personality disorder, 1 patient (0.1%) with schizoid personality disorder and 1 patient (0.1%) with dependent personality disorder. With SCID-I, we found 5 (0.7%) major depressive disorder, 3 (0.4%) bipolar I, 1  (0.1%) distimic disorder, 2 (0.3%) paranoid schizophrenia, 1 (0.1%) delusional disorder, 3 (0.4%) generalized anxiety disorder, 3 (0.4%) panic disorder, 1 (0.1%) panic disorder with agoraphobia, 1 (0.1%) anxiety disorder not otherwise specified, 1 (0.1%) social phobia and 1  (0.1%) post-traumatic stress disorder.

Conclusion: These results suggest that substance use disorders are not prevalent among general psychiatric outpatients. Substance use disorders should be carefully assessed in patients with diagnoses of mood disorders, anxiety disorders or personality disorders.

problem in terms of mental health of the individuals and society. Substance use disorder has been evaluted as a disease by the World Health Organization (DSÖ) from 1951. In terms of alcohol consumption Turkey 4.7% of all deaths in men with prevention of alcohol consumption is predicted of 3.1% of all deaths in women could be prevented. When we analyzed the alcohol consumption in Turkey it’s thought that 4.7% of male deaths, and 3.1% of female deaths could be prevented through prevention of alcohol consumption. Risky alcohol use can be defined as the consumption of alcohol at the risk of harm in physical, mental or social areas. Participants of this study are the students at Üsküdar University in the 2018-2019 academic year. The Alcohol Use Disorders Identification Test was used to determine the alcohol use levels of the participants and to determine the risky alcohol use. According to the results of this study, the rate of individuals who have risky alcohol use is 6.3%. Risky alcohol use has become an important public health problem in terms of mental health of individuals and society.

The cigarette is an addictive substance being used worldwide and one of the largest risk factors for health. Due to the different substances in the cigarette, smoking can cause different diseases from skin problems to cancer. It`s the biggest cause of preventable illness and deaths in almost every country in the world. In the most developed contries many studies are done against smoking. In the last few years studies on smoking are done in our country too. One of the important examples we gave to the while world is a prohibition of smoking in public places. Tobacco free public places means that all indoor workplaces and indoor public places should be completely smokefree. Cigarette smoking is very common among college students. Many studies are made to prevent this establishing campus-wide tobacco/smoke-free environments. The main aim of this study is to evaluate the perspective of Üsküdar University students on smokeless campus policy. 414 students participated in the study. The study was based on 3 different test which were provided to all participants; Sociodemographic form, Smokeless Places Assessment Form and Fagerstrom Test for Nicotine Dependence. The analysis has shown that non smokers give more support to Smokeless Campus policy than the smokers. It was determined that the level of addiction did not cause statistically significant differences. Keywords:

Aim: This study aimed to compare the attachment styles of smokers and nonsmokers.

Methods:  2800 individuals who participated in the study were given sociodemographic form and  “Experiences in Close Relationships Scale”.

Results: Younger ages, male sex, low educational levels found to be related to smoking status. However smoking status or the number of daily smoked cigarettes not found to be related to attachment style.

Conclusion: According to the results of the study, attachment styles were not significantly different according to smoking status. The results of this study suggest that the other comorbid psychopathologies might be a more important risk factor than attachment style in smoking.

Objective: The aim of this study is to examine the effect of the fear of missing out on the nomophobia, and to determine whether differences between these variables and demographic features.

Method: In accordance with this purpose, the students who were studying at the Department of Health Management in 2017-2018 autumn semester at universities in Istanbul were included in this study and data of  273 respondent were evaluated. Personal information form and FoMO and Nomophobia scales were used for data collection. Descriptive statistics, t-test, correlation and regression analyses were used in the data analysis.

Results: According to the analysis outcomes, the levels of nomophobia and FoMO of the students are above average. The results of the study demonstrate that there is a significant relation at a moderate level and positive direct relationship between nomophobia and fear of missing out, as well as the fear of missing out explains 30% of nomophobia. Also, the results show that there are statistically significant differences between students’ levels of nomophobia and fear of missing out, and their demographic features. Moreover, these differences are stem from students who control his smartphone at least 33 times a day, carry a continuous charger, control his smartphone as soon as waking up, connect to the social media via the smartphone.

Conclusion: It has been concluded that for future healthcare manager candidates, the fear of missing out on social networks is a predictor of nomophobia, also known as the fear of being deprived of the smartphone.

Objective: To identify the prevalence of violence in alcohol and drug abusers and a control group; to determine the relationship between violent behavior and impulsivity, anger, aggression, traumatic childhood experiences and indicate whether prevalence of violence differs between periods of deprivation, soberness and while under the influence of alcohol/drugs.

Method: 49 alcohol abusers and 31 drug abusers aged 15-65 years were compared among themselves and also with 62 healthy controls; using a questionnaire including questions related with sociodemographic characteristics of violence, the Buss-Perry Aggression Scale, Barratt Impulsivity Scale, the State-Trait Anger Scale, the Childhood Trauma Questionnaire, Hamilton Depression Scale, the State-Trait Anxiety Inventory.

Results: The prevalence of psychological violence was 85%, physical violence 54%, sexual violence 6% and economic violence 10%. Significant differences were found in most of the variables among the groups, which were thought to be related to violent behavior.

Conclusion: In addition to medical treatment for addiction, psychotherapeutic interventions focusing on personality traits in areas such as anger control and impulsivity should be adopted. The fact that violence decreases in sober periods indicates that violence is rather a result of the nature of the substance.

Objective: Social networks have become indispensable of our lives with the spread of the internet. The increase of time spent on social networks led to appear a new consept of fear of missing out. The purpose of this research was to determine predictors for Fear of Missing Out (FoMO) among university students.

Method: The sample of the research was 400 Kırklareli university students who were determined by random sampling method. The data was collected using personal information form, Life Satisfaction Scale, BAPI Internet Form, FoMO Scale, Rosenberg Self-Esteem Scale, Five Factor Personality Scale and Adult ADHD Self-Report Scale. SPSS Statistical Software package was used in the analysis of the data.

Results: As a result of research, Fear of Missing Out was found to be higher among students who also find lessons boring and check social media hourly especially in during the course who have low self-esteemand in the first grade. Inaddition, it was determined that internet addiction,neurotic features, attention deficit and hyperactivity have positively associated with FoMO.

Conclusion:Internet addiction, impulsivity and neurotic features are determined as influential factors in the emergence of FoMO.

Long-term alcohol use causes varying degrees of deficit in various cognitive functions including learning, memory, visuospatial functions and abstraction. Studies using dif­ferent techniques indicate that the neocortex, particularly the frontal lobe; limbic system and cerebellum are the bra­in regions most vulnerable to the toxic effects of alcohol.

The aim of this study is to assess the memory function in individuals with a history of alcohol dependency who meet the criteria for at least early partial remission and to compare it with healthy controls. The study also aims to investigate the association of memory function with duration of abstinence.

Twenty-four patients and 24 age, sex and education matched healthy controls were included in the study. Patients with Axis-I comorbidity, chronic neurological disease, dementia, chronic disease, Wernicke encephalopathy, Korsakoff syndrome and history of head trauma were excluded. The memory function of alcohol dependent individuals and healthy controls was assessed with Wechsler Memory Scale (WMS) and Rey Auditory- Verbal Learning Test (AVLT).

The memory subscales that show significant difference between the dependent and control groups are immediate memory span, total scores of learning trials and learning false score in AVLT and forward digit span, backward digit span, visual reproduction and memory quotient in WMS. Statistically significant difference was found in the long term recall score and long term false recognition score between the early and sustained full remission subgroups.

As a result of this study, dependent subjects are found to show more deficit in attention and memory functions compared to healthy controls. These findings are consistent with the literature on this subject.