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    Investigation of the relationship between smartphone addiction and overweight on university students
    (2019) Coban, Deniz Adnan
    Aim: Smartphone addiction and overweight are among the most important public health problems that are increasing day by day. However, to the best of our knowledge, there is no study investigating the relationship between these two health problems. The aim of this study was to investigate the relationship between smartphone addiction and overweight among university students.Material and Methods: The sample of this cross-sectional study consisted of 325 volunteers, 185 female and 140 male students. After the Smartphone Addiction Scale-Short Form (SAS-SF) and sociodemographic data form were applied to the volunteers, their height and weight were measured with the same device. Body Mass Index (BMI) was calculated and the sample was divided into normal weight (24.5 kg/m2 ≤ BMI ≤ 24.9 kg/m2) and overweight (BMI ≥ 25 kg/ m2).Results: The mean age of the volunteers included in the study was 22.38 ± 3.15 years and 56.9% (n = 185) of them were females. SAS-SF scores of the participants were found to be statistically different between normal and overweight groups (t=-2.524, p=0.012). According to the logistic regression analysis model used to determine the predictors of being overweight, being a smartphone addict increases the risk of being overweight twice. Conclusion: The study suggests that there is a relationship between smartphone use and being overweight. The results of our study are important since it is the first study that shows that smartphone addiction increases the risk of being overweight. In order to explain the relationship between these two important health problems, studies including other reasons of being overweight are needed.
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    The predictors of occupational disability in obsessive-compulsive disorder in a large clinical sample
    (2019) Coban, Deniz Adnan; Tan, Oguz
    Aim: Obsessive-compulsive disorder (OCD) is a common mental disorder leading to severe loss of functioning. We aimed to investigate socio-demographic and clinical factors affecting occupational disability in OCD. Material and Methods: It is a cross sectional study with individuals recruited from an outpatient psychiatry clinic. A total of 393 patients were given the Yale-Brown Obsessive Compulsive Scale (Y-BOCS), Hamilton Depression Rating Scale-17 Item (HAM-D), Beck Anxiety Inventory, Barratt Impulseness Scale-11 and Wender Utah Rating Scale. Occupational disability was defined as the inability to work over the past month due to pychopathology associated with OCD. Housewives, students and retired people were excluded. Results: The rates of occupational disability were 52.9% in the whole sample, 44.3% in men and 60% in women. Higher Y-BOCS scores, higher HAM-D scores, being single, female gender, younger age at first treatment, less school years and previous suicide attempt were associated with a higher risk of occupational disability. The BAI scores, previous hospitalization, age at onset, smoking, childhood ADHD and past or present tic disorder did not statistically affect occupational status. Conclusions: OCD is associated with serious occupational disability causing inability to work in more than half of patients. The severity of OCD and depressive symptoms, marital status, gender, education level, age at first treatment and history of suicide attempt predict occupational disability. Keywords: Occupational disability; disability; functioning; obsessive-compulsive disorder; impulsivity; Attention Deficit and Hyperactivity Disorder (ADHD).
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    A study on the symptom profile of depressive disorder in elderly Turkish patients: A factor analysis study
    (2019) Coban, Deniz Adnan
    Aim: Depressive disorder manifests itself differently in elderly patients due to the symptom profile. We conducted this study on a population of elderly major depressive disorder patients in Turkey with the aim of determining the sociodemographic characteristics, distribution, and associations of their symptoms.Material and Method: A retrospective study of 137 patients hospitalized during the last ten years in the Geropsychiatric Clinic of the Department of Psychiatry, Cerrahpaşa School of Medicine, Istanbul University. The patients were diagnosed according to the DSM IV criteria.Results: Majority (51.8%) of the patients were female, most of which were married (65%). The most common symptoms in elderly patients in order of frequency were distress 112 (81.8%) anxiety 97 (70.8%), and insomnia 96 (70.1%). The least frequently observed symptoms were disorientation 5 (3.6%), nihilistic delusions 5 (3.6%), and increased appetite 2 (2.2%). The symptoms clustered in accordance with the DSM IV system.Conclusion: It was concluded that the sociodemographic characteristics and weighted distribution of symptoms in Turkish geriatric depression patients were closely in parallel with the existing literature. However, results indicate a need to repeat this study in order to explore the same in a general Turkish population.Keywords: Elderly; depression; sign; symptom; factor analysis.