Predicting suicidal thoughts in depressed patients based on the sense of coherence, brain-behavioral systems, and attributional styles

Depression is characterized by many symptoms, including thoughts of death and suicide. The aim of this study was to determine the relationship between sense of coherence, brain-behavioral systems, and attributional styles in the prediction of suicidal thoughts of depressed patients. First, using availability sampling and Beck depression inventory, 100 depressed patients admitted to Razi psychiatric hospital in Tabriz were selected. Then Beck scale for suicide ideation, Antonovsky's sense of coherence questionnaire, Carver and White's brain-behavioral systems questionnaire, and Seligman's attributional style questionnaire were presented to them to collect information. Then data were analyzed by SPSS software, using Pearson correlation coefficient and multiple regression. The results of this study showed that sense of coherence explained 44%, brain-behavioral systems explained 28.9% and attributional styles explained 33.9% of the variance of suicidal thoughts in depressed patients. Therefore, it can be concluded that sense of coherence, brain-behavioral systems, and attributional styles are the variables affecting the suicidal thoughts of depressed patients.