Abstract

Background: The purpose of this research was to investigate the relationship between emotion regulation, resilience, spiritual well-being and relapse prevention in people aged 25 to 50 with substance use disorder in Azarshahr city. Methodology: The current research, in terms of purpose, is practical and correlational research type and was carried out with a survey method. The statistical population of the study consisted of all men and women suffering from substance abuse disorder who were admitted to drug addiction treatment camps in Azarshahr city in 2022. A statistical sample of 200 people was selected completely randomly. The criteria for entering the research were having an age range of 20 to 50 years and a history of hospitalization more than once for drug addiction. The exit criteria were having psychological disorders or undergoing other psychological treatments. The obtained data were analyzed in spss software. Research tools included resilience scale, emotion regulation questionnaire, spiritual well-being, relapse prediction scale (RPS). Results: The value of the correlation coefficient between resilience, emotional regulation and spiritual well-being with substance abuse recurrence was -0.416, -0.433, -0.232, respectively. There was an inverse and significant relationship at the 5% level between resilience, emotion regulation and spiritual well-being with relapse of drug use in people. However, there was a direct and significant relationship between the variables of resilience with the regulation of sensation seeking and spiritual well-being, and also between the regulation of sensation seeking and spiritual well-being at the 5% level. The results of the regression analysis showed that the model was significant and had a coefficient of determination of 0.479. The results of the regression analysis showed that resilience with a beta coefficient equal to -1.321, emotion regulation with a coefficient equal to -1.245, and spiritual well-being with a coefficient equal to -0.918 had the ability to predict the recurrence of substance abuse in drug addicts.

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