Müberra Kulu,Filiz Özsoy
2020, 4(1), s:35-39
The association of alcohol /substance use disorder and attention deficit hyperactivity disorder (ADHD) is a frequently reported condition. The comorbidity of these two diseases both compromises treatment compliance and increases mortality and morbidity rates. The medical treatments used in ADHD treatment are also very limited due to their potential for abuse. In this case report, the regression of attention deficit symptoms and improvement in the neuropsychometric tests due to atomoxetine treatment in opiate use disorder patient will be presented.
Mustafa Akan,Altunışık Toplu Sibel,Birgül Cumurcu Hatice
2020, 4(1), s:28-34
Birgul Kekliltepe,Işıl Gogcegoz
2020, 4(1), s:21-27
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:
Deniz Eryılmaz,Işıl Gogcegoz,Gul Eryılmaz
2020, 4(1), s:16-20
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.
Habib Erensoy,Tonguç Demir Berkol,Yasin Hasan Balcıoğlu,Hasan Mervan Aytaç
2020, 4(1), s:5-15
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.
Mini - Review
2019, 3(2), s:49-82
2019, 3(1), s:31-41
Technological development and diversification of products offered to the consumer and make them attractive cause some problems. The main reason for these problems is the inability to control the product life. Uncontrolled use of technology leads to many behavioral addictions. Technology addiction, which is accepted as a sub-dimension in behavioral addiction, is a prominent problem in this process. It has been found that people’s increasing dependence on technology changes individuals identity and, moreover, their consumption preferences. In adolescence, more dominant individuals can express themselves while expressing materialist attitude. Therefore, it is thought that the way individuals express themselves in the community is indexed to the goods they consume. For example, the element that is the main determinant of many personal oriented preference perceptions, such as the preferred phone brand and the features of the computer, is focused on what the individual consumes or adopts. In this article, the reason of the intense demand of individuals for the need created for media and communication tools and technological products is explained. In addition, technology dependence is examined from a sociological point of view in this context in which ostentatious consumption manifests itself today.
Sever Yıldırım,Türker Tekin Ergüzel,Gökben Hızlı Sayar
2019, 3(1), s:25-30
Nowadays most of the young generation use internet intensively. These individuals are constantly online thanks to their smart phones. Since internet has a usage area that is so wide and smart phones give their users very easy access to it, many people feel desire to use smart phones. Smart phones come in many different price ranges and they are accessible for every consumer type. Many advertisements are being made to spread internet usage and make it a regular thing of everyday life. Also, smart phone companies produce more affordable phones. Smart phones make possible many useful tasks on internet for their users, such as; banking transactions, grocery shopping, watching movies and reading newspapers. Smart phones make everyday life easier and they make computer tasks without the need of using a computer; which also saves time. Purpose of this review is to overview the current situation about smart phone addiction and discuss the causes and results of this addiction.
Haydar Hoşgör,Derya Gündüz Hoşgör
2019, 3(1), s:16-24
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.
Beyza Yaz,Hüseyin Ünübol,Gökben Hızlı Sayar
2019, 3(1), s:11-15
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.