Journal of School of Public Health and

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Background and objectives: Relapse after treatment is a common problem among drug addicts in addiction control and prevention programs. About 80% of the addicts relapse into drug abuse within 6 months after treatment. The purpose of this study was to determine factors associated with drug abuse relapse in patients consulting two selected addiction treatment centers in Tehran. 

Material and Methods: In this case-control study, 160 relapsed patients were compared with 160 abstentious patients. A researcher-developed questionnaire was used to collect data. Chi-square test, odds ratio (OR) and logistic regression were performed for data analysis.

Results: The findings showed that factors increasing rate of relapse were smoking after relapse (OR=7.14, CI=3.855-13.244), substance-related cues (OR=6.76, CI= 3.915-11.678), interaction with addict peers (OR=6.38, CI=3.921-10398), malaise (OR=3.93, CI=2.446-6.305), and family conflict (OR=2.04, CI=1.227-3.385). Opium- and dross-addicts were found to be less likely to have a relapse than crack- or pot- users (OR= 0.208, CI-0.128- 0.336). 

Conclusion: The findings of this study reveal that relapse into drug abuse is significantly associated with personal, social, psychological and medical variables. It is recommended to 

integrate family counseling and therapeutic approaches, constant monitoring, and health care in treatment plans in order to reduce the adverse effects of factors such as family conflicts, peer pressure and drug-related cues in patients' likelihood of relapse.   

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Background and Aim: MS is a chronic and destructive inflammatory disease with a not contradiction continuing of life but can influenced the quality of life of patients. The purpose of this study is to determine the quality of life in MS and its related factors. Materials and Methods: This cross-sectional study was performed on 172 patients admitted to the MS Society of Iran (Tehran) and convenience samplings were obtained for 10 months. Tools for data collection were MSQOL-54 and MS patients were also interviewed. Data using descriptive and Analytical tests such as multiple regression were analyzed. Results: The mean age of patients was 34/8 ± 9/6 years. Analysis of 14 sub-domains of quality of life questionnaire showed that the highest average score in the domain of quality of life was social functioning (71/7 ± 21) and the least was role limitations due to physical problems (44/2 ± 39/4). Results of multivariate regression models shown that between age has an significant inverse relationship to domain of physical combined and only variable significant on the combined domain of psychological – psychiatric, Area residential Variable was (p.value 0/001). Conclusions: The study shows that demographic variables medical and economic factors influence the quality of life of patients with multiple sclerosis. Identify the factors related to the quality of life of these patients can be helpful in predicting quality of life. The variables influence on the quality of life for MS patients must be targeted in designing effective intervention programs to improve their quality of life.