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INTRODUCTION: The aim of this study was to combine the dimensional concept with the categorical system in major depressive disorder (MDD) to reduce the complexity of the diagnosis. Furthermore, it was aimed to match categorical and dimensional approaches in a clear and simple manner. METHOD: The study included a patient group of 131 consecutive outpatients diagnosed with MDD according to the DSM-IV diagnosis criteria, and a control group of 99 people that is matched with the patient group by gender, age and education level. All subjects completed the Beck Depression Inventory, the Beck Anxiety Inventory and the Toronto Alexithymia Scale (TAS). RESULTS: Cronbach's alpha values for the analysis of the internal consistency of the scale for the patients group, control group and the total participants were determined as .94-.97, .87-.92 and .93-.96, respectively. Nine factors were obtained from the results of exploratory factor analysis. According to the Scree-plot, it was decided that the two-factor structure represents best. Although depression and anxiety are two distinct dimensions, the relationship between them was found to be significantly significant. This was valid for both patient and control groups. When the relationship between the DSM-IV diagnosis criteria and all variables (depression and its sub-dimensions, anxiety and its sub-dimensions and the number of symptoms) was evaluated, the number of symptoms was found to be significantly related with all of the criteria. CONCLUSION: The number of symptoms and the severity of illness are found to be important in the clinical manifestation of MDD. The relationship of the severity of the illness with sleep and appetite seems weaker. While loss of interest was mainly predicting the disorder, weight changes, psychomotor changes, difficulty in concentration, fatigue, and worthlessness were determined not to be predictors of the manifestations. According to dimensional approach, somatic anxiety and deterioration in performance predict the presence of the disorder. According to categorical and dimensional approaches, some of the DSM-IV criteria (#2, #1, #9, #4, number of symptoms, severity of symptoms, somatic anxiety, performance deterioration) are seen to contribute to the matchability between the approaches.
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OBJECTIVE: Impaired social functioning is a characteristic feature of schizophrenia. The aim of this study was to determine the factors that predict social functioning in schizophrenia. METHOD: The study included 100 patients that met DSM-IV diagnostic criteria for schizophrenia. All the patients were evaluated using the Scale for the Assessment of Negative Symptoms, Scale for the Assessment of Positive Symptoms, Calgary Depression Scale for Schizophrenia, Facial Emotion Identification Test, Facial Emotion Discrimination Test, Digit Span Test, Rey's Auditory Verbal Learning Test, Trail Making Test, and Social Functioning Scale. Marital status, living arrangements, and working status of the patients were also recorded. Pearson's correlation analysis and multiple stepwise regression analysis were used to determine the relationships between the research variables and social functioning. Categorical variables were compared with the independent samples t test. RESULTS: Negative symptoms, level of education, and facial emotion identification were significant predictors of social functioning total score. Negative symptoms were the most important predictor of almost all domains of social functioning. Age and duration of illness were not associated with social functioning. There were no gender differences in terms of social functioning. Married patients had higher social functioning scores. Employed patients had lower negative symptom scores and higher social functioning scores. CONCLUSION: Negative symptoms were the most important predictors of social functioning in our study.