Predicting sexual dysfunction in terms of body image and sexual guilt among females with and without sexual dysfunction disorder

The present study aimed to predict group membership of female students with and without sexual dysfunction based on body image and sexual guilt. The research method was the correlational and predictive type. Statistical population includes all married female students of universities of Ahvaz in the 2016-17 academic years that among whom 270 students were selected based on inclusion and exclusion criteria using purposive-Convenience sampling method. The participants replied to Rosens' Female Sexual Function Index (FSFI), Littleton's Body-Image Concern Inventory (BICI), and Mosher's Feeling of Sexual Guilt Scale (MGI). the discriminant analysis method and SPSS-23 software were used to analyze data. Results indicated that the linear combination of research variables can differentiate between sexual dysfunction among students. Also, discriminant analysis (stepwise method) showed that body image is the best variable for distinguishing Sexual dysfunction disorder. Results of the study showed that body image and sexual guilt are significant predictive factors of sexual dysfunction in female