Backgrounds and Aim: Alexithymia is an important psychological component that significantly associated with quality of lifestyle and on the other hand   explains the relationship between alexithymia and information processing styles so it can provide useful information. The aim of this study was to investigate information processing styles with alexithymia among women who were covered by the Committee of Imam Khomeini (RA) in Kermanshah.

Material and Methods: In this cross – correlation study  329 women by the charity of Imam Khomeini for sampling was conducted in Kermanshah, logical inventory data through questionnaires experience (ERI) and questionnaire alexithymia (AI) were collected, And then analyzed  by using Pearson correlation coefficient and multiple regression analysis at the same time using spss20 

Results: The results showed that the logical processing style has a negative correlation with alexithymia even though can predict it, but light processing experience had no significant correlation with alexithymia. In other words, those with high processing lower alexithymia level can be predicted.

Conclusion: Therefore recommending individual or group mentoring programs besides supporting and treatment activities by regarding to the information processing styles. 

Abstract                     
Background and Aim: In the recent years, the emotional problems are common issues within various societies. Correct understanding and skill in a regulation of emotional problems are highly efficient to reduce mental disorders and their predicting factors. The purpose of this study was to predict alexithymia based on parental health, self-differentiation and emotional, cognitive regulation among female high school students.                                                             
Material and Method: To conduct the study, 300 students were selected from different high schools in Sanandaj city. Data collected from alexithymia, parental health, self-differentiation and emotional, cognitive regulation questionnaires. Data analysis was performed using Pearson correlation and regression analysis with the aid of SPSS software. We obtained the correlation analysis to conduct this study, and the sampling method was random sampling (multistage cluster sampling).                                            
Results: The results inferred that predictive variables estimated only 12% of the variance of overall alexithymia score. There was an inverse and meaningful (significant) correlation between self-differentiation and alexithymia (P≤0.01).  However, openness scale in parental health and suppression (repression) scale in emotional regulation significantly predicted alexithymia (P≤0.01).
Conclusion: According to the results we concluded that independent variables could predict alexithymia, but self-differentiation is a prominent factor in predicting of alexithymia that has an inverse and significant correlation (relationship).