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Background:Emotional conditions governing the family and patients’ perceived social support play important roles in the treatment or relapse process of the chronic disease.Objectives:The current study aimed to investigate the role of family expressed emotion and perceived social support in prediction of addiction relapse.Patients and Methods:The descriptive-correlation method was used in the current study. The study population consisted of the individuals referred to the addiction treatment centers in Ardabil from October 2013 to January 2014. The subjects (n = 80) were randomly selected using cluster sampling method. To collect data, expressed emotion test by Cole and Kazaryan, and Multidimensional Scale of Perceived Social Support (MSPSS) were used, and the obtained data was analyzed using the Pearson's correlation coefficient and multiple regression analyses.Results:Results showed a positive relationship between family expressed emotions and the frequency of relapse (r = 0.26, P = 0.011) and a significant negative relationship between perceived social support and the frequency of relapse (r = -0.34, P = 0.001). Multiple regression analysis also showed that perceived social support from family and the family expressed emotions significantly explained 12% of the total variance of relapse frequency.Conclusions:These results have implications for addicted people, their families and professionals working in addiction centers to use the emotional potential of families especially their expressed emotions and the perceived social support of addicts to increase the success rate of addiction treatment.

This research aimed to predict suicidality and addiction (substance, alcohol, cigarette, psychoactive drugs) among university students based on Adverse Childhood Experiences (ACEs) and exposure to the suicide of family members and or friends. Methods: The research method was cross-sectional. The statistical community included all students of the University of Mohaghegh Ardabili, Ardabil City, Iran, in 2018. A sample of 500 people was selected through convenience sampling method. The obtained data were analyzed by descriptive statistics indices, the Pearson correlation, and regression analysis in SPSS V. 23. The study measures included depressive symptom-suicidality subscale, adverse childhood experiences, substance, alcohol, cigarette, psychoactive drugs abuse, and exposure to suicidal behavior. Results: The findings show a significant correlation between ACEs and suicide, substance, alcohol, cigarette, psychoactive drugs abuse. In addition, there was a significant correlation between the person's suicide and exposure to the suicide of a friend and or a family member. Exposure to friends' suicide had a significant correlation with substance, alcohol, cigarette, and psychoactive drugs abuses, but there was no significant correlation between exposure to family members' suicide and addictions. Moreover, in the predicting variables, findings showed that ACEs can predict both suicide (r=0.322) and addictions; cigarette smoking (r=0.244), alcohol consumption (r=0.216), substance abuse (r=0.180) and street drugs (r=0.172). However, exposure to friends' and family members' suicide did not have this predicting power. Conclusion: Adverse childhood experiences play an important part in suicidality and addiction, and we should prevent these experiences by working on the family.

Introduction: One of the most important components of the life of students is the need for progress.Aim: This study aimed to study the role of self-regulation and alienation in predicting students' motivation was. Method:This study was correlational The study population included all high school boys and girls schools Pars Abad city administration were studying in the academic year comprised 2017. One hundred and Twenty students were selected from this population through multistage random cluster sampling and they were asked to respond to Questionnaires of self-regulation, alienation academic and achievement motivation. Data were analyzed using Pearson's correlation and multivariate regression tests.Results: Results showed that Achievement motivation total score of alienation, components of the sense of meaninglessness and disability, isolation negative relationship with selfregulation has a significant positive relationship. Regression analysis also showed that Regression analysis also showed that 48 percent of the variance in student achievement motivation by elements of alienation and self-determination. Conclusion:The study shows that self-regulation and alienation educational ability to predict achievement motivation as significant. Accordingly, predicting the motivation for student progress through variables such as self-alienation and self-regulation, indicates the need to pay attention to deep and sustained personality structures in future interventions and researches.

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