Predicting Risk-Taking Behaviors Based on the Role of Perceived Social Support Components, Emotional Expression and Brain- Behavioral Systems in Addicts
Author(s) -
Esmaeil Sadri Damirchi,
Pezhman Honarmand Ghojebegloo,
Seyed Mohammad Basir Amir,
behzad gholizade
Publication year - 2019
Publication title -
quarterly of horizon of medical sciences
Language(s) - English
Resource type - Journals
eISSN - 2252-0805
pISSN - 1735-1855
DOI - 10.32598/hms.25.4.282
Subject(s) - psychology , social support , correlation , clinical psychology , regression analysis , addiction , population , pearson product moment correlation coefficient , scale (ratio) , substance use , developmental psychology , medicine , psychiatry , social psychology , environmental health , statistics , physics , geometry , mathematics , quantum mechanics , machine learning , computer science
Aims The prevalence of risk-taking behaviors is a severe health threat. According to rapid social changes, it has recently been considered by health organizations, law enforcement, and social policymakers. The present study aimed to predict risk-taking behaviors based on the role of perceived social support components, emotional expression, and brain-behavioral systems in substance-dependent patients. Methods & Materials This was a descriptive correlational study. The statistical population of the study included all substance-dependent patients referring to substance dependence treatment centers in Ardabil City, Iran, in 2018. In total, 113 substance-dependent patients were selected by convenience sampling method. The study instruments included Rajaee and shafieechr('39')s Risk-Taking Behaviors Questionnaire, Zimetchr('39')s Multiple Scale of Perceived Social Support (MSPSS), King, and Emmonschr('39')s Emotional Expressiveness Questionnaire (EEQ), and Carver and Whitechr('39')s Brain-Behavioral Systems Questionnaire (BIS/BAS). The obtained data were analyzed using Pearson correlation coefficient and simultaneous-entry multiple regression analysis in SPSS. Findings The achieved results suggested a significant negative correlation between perceived social support from family, friends, and others, with the risk-taking behaviors of substance-dependent patients (P<0.01). There was a significant positive correlation between negative emotional expression and the risk-taking behaviors of substance-dependent patients among emotional expressiveness components (P<0.01). Moreover, among the components of brain-behavioral systems, there was a significant positive correlation between behavioral activation system and risk-taking behaviors (P<0.01). Additionally, the regression analysis results revealed that approximately 49% of the total variance of risk-taking behaviors of patients with substance dependence was predicted based on perceived social support components, emotional expression, and brain-behavioral systems (P<0.001). Conclusion In general, perceived social support from family and friends, negative emotional expression, and behavioral activation system can predict risk-taking behaviors in substance-dependent patients.
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