Prediction Obsessive-Compulsive Symptoms Based on Anxiety Sensitivity and Social Problem Solving

The purpose of this study was to predict obsessive-compulsive symptoms based on anxiety sensitivity and social problem solving. This study is descriptive and correlational. The statistical population of this study was all women referring to medical centers of Rasht in 2018 from which 167 patients were selected through convenience sampling. Data were collected using the Maudsley Obsessive-Compulsive Inventory (MOCI), Anxiety Sensitivity (ASR-R) and Social Problem-Solving Questionnaire (SPSI). Data were analyzed using Pearson correlation coefficient and multiple regression analysis. The results showed that anxiety sensitivity and social problem solving had a significant relationship with obsessive-compulsive symptoms (P<0.01). Anxiety sensitivity (ß=0.47), positive orientation (ß=-0.25), negative orientation (ß=0.33), avoidance problem solving (ß=0.36), impulsive problem solving (ß=0.69), and logical problem solving (ß=-0.47) significantly predicted obsessive-compulsive symptom (P<0.01). The results indicate that the more anxiety levels decrease and social problem-solving increases, the greater the degree of obsessive-compulsive symptoms in patients. Therefore, therapists need to pay more attention to the social and anxiety dimensions of patients with obsessive-compulsive disorder.