Determine the contribution of the quality of life components and happiness in predicting resilience of addicted people quitting substance abuse

 The purpose of this study was to determine the contribution of the quality of life components and happiness in predicting resilience of people quitting drug in the year of 2017-18.

In this descriptive-correlational study, a sample of 100 people (50 married men and 50 single men) were selected through a randomized cluster sampling method in addiction treatment centers. Data were collected by the quality of life questionnaire, the Oxford Happiness Inventory (OHI), and Conner and Davidson Resiliency Questionnaire (CD-RISC). The data were analyzed using SPSS 23 software, including statistical methods such as descriptive and inferential statistics.

The results showed that factors such as psychological quality and happiness had a positive significant correlation with resilience at a 5% level and the positivity of these coefficients actually indicated that with increasing these factors, the amount of resilience increases. Moreover, the results of linear regression showed that quality of life and happiness were able to predict 0.31 of variance of resilience of people quitting drug scores.

Therefore, regarding to the important role of quality of life and happiness increasing the resiliency of people quitting drug, concerning these variables as goals can be effective in predicting and increasing the resilience of addicted people quitting substance abuse and prevent to relapse.