Measurement of Factors Influencing the Relapse of Addiction: A Factor Analysis

Abstract

Background: Addiction is a primary, chronic disease of brain reward, motivation, memory and the related circuitry. Objectives: The purpose of the study was the measurement of effective components in addiction relapse, in Rasht city of Guilan province, Iran. Patients and Methods: This study was done in 2014 that has been performed by using the factor analysis method. In the qualitative stage the process owners were 45 experts, and in the factor analysis stage they were 1850 people who were under treatment at addiction treatment centers. The data collection tool was a Researcher-Made Questionnaire whose content validity was determined through expert panel, and its construct validity was determined through exploratory factor analysis by principal component analysis method with varimax rotation using SPSS16 software. Results: In exploratory component analysis, 4 main components were identified; Individual factors with 6 variables, 25.72% variance, and 17.81 eigenvalue as the most important factor, and Economic factors with 5 variables and 7.64% variance as the less important factor, clarified the Addiction Relapse changes; however, in the fitted model which is the most completely saturated model, 4 factors of Individual factors with s = 0.48, family factors with s = 0.23, occupational factors with s = 0.2, economic factors with s = 0.12 had the highest predictive power in the order of importance. Conclusions: According to the findings, individual, familial, social, cultural, and economic factors were the most important in relation to the addiction relapse.