scholarly journals Predicting Risk-Taking Behaviors Based on the Role of Perceived Social Support Components, Emotional Expression and Brain- Behavioral Systems in Addicts

2019 ◽  
Vol 25 (4) ◽  
pp. 282-297
Author(s):  
Esmaeil Sadri Damirchi ◽  
◽  
Pezhman Honarmand Ghojebegloo ◽  
Seyed Mohammad Basir Amir ◽  
Behzad Gholizade ◽  
...  

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.

Crisis ◽  
2020 ◽  
Vol 41 (2) ◽  
pp. 82-88 ◽  
Author(s):  
Bob Lew ◽  
Ksenia Chistopolskaya ◽  
Yanzheng Liu ◽  
Mansor Abu Talib ◽  
Olga Mitina ◽  
...  

Abstract. Background: According to the strain theory of suicide, strains, resulting from conflicting and competing pressures in an individual's life, are hypothesized to precede suicide. But social support is an important factor that can mitigate strains and lessen their input in suicidal behavior. Aims: This study was designed to assess the moderating role of social support in the relation between strain and suicidality. Methods: A sample of 1,051 employees were recruited in Beijing, the capital of China, through an online survey. Moderation analysis was performed using SPSS PROCESS Macro. Social support was measured with the Multidimensional Scale of Perceived Social Support, and strains were assessed with the Psychological Strains Scale. Results: Psychological strains are a good predictor of suicidality, and social support, a basic need for each human being, moderates and decreases the effects of psychological strains on suicidality. Limitations: The cross-sectional survey limited the extent to which conclusions about causal relationships can be drawn. Furthermore, the results may not be generalized to the whole of China because of its diversity. Conclusion: Social support has a tendency to mitigate the effects of psychological strains on suicidality.


2005 ◽  
Vol 14 (2) ◽  
pp. 124-138 ◽  
Author(s):  
Joseph H. Beitchman ◽  
Edward M. Adlaf ◽  
Leslie Atkinson ◽  
Lori Douglas ◽  
Joseph H. Beitchman ◽  
...  

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