Predictiveat the Risk of Mental DisordersPattern on the Based Religious Beliefs, Social Support, Coping Strategies and Record of Mental Disorders

        This study aimed to design a predictive model to identification of protective and risk factors in college student at the risk of mental disorders. This research was designed according to the correlation analysis, and the sample society (560 students) was selected from 4564 students of ShahidBeheshti University using Stratified Random Sampling Method. The collected data was based on the General Health Factors Goldberg, Social Support Bakhshipoor, Piravi and Abediian, Coping Strategies Endler and Parker, the Suicide Risk Scale of Northwest Behavioral Health Research Center, and Mentor Research Institute Scale. The data was then analyzed using logistic regression.The results showed that religious beliefs, social support, and problem-focused coping strategies effectively decrease and emotion-focused coping strategies and record of mental disorders effectively increase the risk of mental disorder. The benefit of having a more-developed religious belief can decrease the odds the risk of mental disorder to than 0/34 sized (-0/66), social support to than 0/64 sized (-0/36) and problem-focused coping strategies to than 0/77 sized (-0/23), While having a record of mental disorder and emotion-focused coping strategies can respectively increase the odds the risk of mental disorder to 4.35 and 1.95. By designing a predictive model, we can reinforce the protective factors and control the risk factors in order to use them for primary preventive models.