Volume 12, Issue 16 (5-2022)
JNIP 2022, 12(16): 1-12 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Rezazadeh Asgari S. Predicting Return to Drug Use based on Initial Maladaptive Schemas and Lifestyle in Methadone Maintenance Patients. JNIP 2022; 12 (16) :1-12
URL: http://jnip.ir/article-1-948-en.html
URL: http://jnip.ir/article-1-948-en.html
Master of Clinical Psychology, Islamic Azad University, Arak Branch, Arak, Iran
Abstract: (419 Views)
The present study aimed to predict the return to drug use based on the initial maladaptive schemas and lifestyle in patients undergoing Methadone maintenance treatment. The method of this research was descriptive correlation type. The statistical population of this research was all addicts undergoing maintenance treatment with Methadone who were referred to treatment and addiction treatment centers in Qom City in 2017. The sample size of this study was 250 drug addicts who were selected through multi-stage cluster sampling among drug addicts referring to Methadone withdrawal centers.The short-form Young schema questionnaire, the Health Promoting lifestyle questionnaire ,and the Return to addiction questionnaire were used to collect data. Also,the data of this research with Pearson and Regression test for each of the variables show that about 30 % of the changes in returning to addiction canbe explained by seven schemas. R2=30 and lifestyle could negatively explain 13 % of the return to addiction R2=13.
Keywords: Returning To Drug Use, Primary Maladaptive Schemas, Lifestyle, Addicts Under Methadone Maintenance Treatment
Type of Study: Research |
Subject:
Special
Received: 2023/06/20 | Revised: 2023/06/21 | Accepted: 2022/05/31 | Published: 2022/05/31
Received: 2023/06/20 | Revised: 2023/06/21 | Accepted: 2022/05/31 | Published: 2022/05/31
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
