Browsing by Author "Yagci, I."
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Web of Science Psychiatry and Clinical Psychopharmacology(2024.01.01) Inaltekin, A.; Yagci, I.Background: Although an association has been newly reported between obsessive-compulsive disorder (OCD) and an increased risk of suicide, there are only a limited number of studies investigating suicide-related factors in OCD patients. The aim of this study is to evaluate the relationship between dysfunctional metacognitive activity, difficulty in emotion regulation, anxiety, depression, somatization symptom severity, and suicide probability in OCD patients by comparing them with a control group. Methods: Difficulties in Emotion Regulation Scale, Metacognition Scale, Suicide Probability Scale, and Patient Health Questionnaire Somatic, Anxiety, and Depression Symptom Scale were administered to 70 OCD patients and 70 healthy controls. The Dimensional Obsession Compulsion Scale was administered to assess OCD symptom dimensions among OCD patients. Results: Dysfunctional metacognition, difficulty in emotion regulation, probability of suicide, depression, anxiety, and somatization symptoms were significantly higher in OCD patients compared to the control group (P < .05). Suicide probability was found to be positively correlated with depression, difficulty in emotion regulation, impulsivity dimension, metacognition, cognitive confidence dimension, contamination, cleaning, and symmetry scores among OCD symptom dimensions (P < .05). Conclusion: Recognizing the factors that were found to be associated with suicide probability in individuals with OCD may be of great importance in identifying patients at higher suicide risk.Web of Science Social Media Addiction and Emotional Intelligence in Patients with Disorder(2024.01.01) Inaltekin, A.; Yagci, I.Background: The relationship between depression and severity of social media addiction is likely to be bidirectional. Nevertheless, current studies have addressed the depression score utilizing a scale in the general population instead of assessing this relationship in patients with major depressive disorder. Despite the fact that the negative relationship of social media addiction with emotional intelligence is acknowledged, the existence of this relationship in major depressive disorder has not been investigated yet. Hence, the objective of our study is to evaluate severity of social media addiction and emotional intelligence in major depressive disorder. Methods: This research was performed with 158 participants between the ages of 18 and 56 in Kars Harakani State Hospital Psychiatry Outpatient Clinic. Sociodemographic data form involving the age, gender, marital status, education level and employment status of the participants, Beck Depression Inventory, Bar-On Emotional Quotient Inventory, and Social Media Addiction Scale were implemented to the participants. Results: Creating the group to be none-less addicted and medium-highly addicted with regard to the social media addiction scale score, it was observed that the emotional intelligence of the medium-highly addicted group was significantly lower, and the depression score was higher (P P < .001). Furthermore, the severity of social media addiction had a positive relationship with the depression score and a negative relationship with the emotional intelligence score (r r = 0.353, P < .001; r = -0.376, P < .001). Conclusion: Emotional intelligence in major depressive disorder is associated with both depression level and severity of social media addiction. Interventions, i.e., emotional intelligence skill training, might be practical for the aforementioned patients.