Social Psychology Research

Abstract The purpose of the present research was to predict voting behaviors based on mental health, social wellbeing and psychological self-efficacy of Tehran citizens in presidential elections . It was a descriptive-correlation research and incuded 400 Tehran citizens higher than 20 years old who at least once participated in elections. The participents were selected by multistage cluster sampling and they all completed Kinz social wellbeing questionnaire (1998), SCL 25 mental health, Sherer and Madox self efficacy (GSE) and Shahram nia, Milani. Karami Rad and Jamil . voting behaviors (2015). Data were
well analyzed by SPSS 20 software and step by step regression analysis test. The results showed that all three regression model are significant in predicting voting behaviors. So, psychological self efficacy, socia l wellbeing and mental health are all considered as the most powerful predicting factors of voting behaviors in Tehran citizens in presidential ellection and also psychological self efficacy, social wellbeing and mental health predict voting behaviors in positive direction (p < 0.01). According to the results, we may expect people to have proper voting behaviors when they experience proper mental health and social health in the society and beside it is necessary in social political training of the society.

Abstract Introduction: The corona disease epidemic and quarantine have had different effects on the social and psychological aspects of individuals. The aim of this research was to study the relationship between the anxiety and the social cohesion that caused by Coronavirus with mental health in Teheran.
Method: For this purpose, a sample of 618 men and women adults evaluated by GHQ-12 Inventory, Corona Disease Anxiety Scale (Alipour, 2020), and social cohesion (based on wellbeing questionnaire of Keys and Shapiro, 2004) through online recall and via social network. To analyze the data, Pearson correlation coefficient and regression analysis was used. Results: The results showed anxiety and social cohesion that caused by Coronavirus had meaningful statistical correlation with mental health. Also mental health could be predicted positively by social cohesion, negatively by anxiety.
Conclusion: These results indicated the positive and negative psychological and social effects of quarantine, and had practical implications in the development of crisis interventions at the time of the Corona disease outbreak.

Abstract Introduction: The relationship between spirituality and social support with mental health and death anxiety in the elderly needs further study. Therefore, the purpose of this study was to determine the relationship between spirituality and social support with mental health and death anxiety in the elderly.
Methods: In this study which was carried out with a correlation method, 350 elders living in Tehran completed questionnaires. Goldberg General Health Questionnaire (GHQ), Templar Death Anxiety Scale, Parsian and Doning Spirituality Questionnaire, and Philip Social Support Questionnaire were used as measuring tools. Data was analyzed using Pearson correlational analysis and multiple regression analysis.
Finding: The relationship between mental health and death anxiety with spirituality and social support was significant. Spirituality was able to significantly predict mental health (β = -0/406, >P 0/0001) and death anxiety (β = -0/233, >P 0/0001). Also, social support could predict mental health (β = -0/349, >P 0/0001) and death anxiety (β = -0/286, >P 0/0001)
Conclusion: These findings reveal the importance of spirituality and social support as preventative factors related to mental health problems and the anxiety of elderly death.

Abstract The purpose of this study was to analyze the state of corruption on the basis of mental health and mediating the role of psychological well-being. The research method was descriptive-correlational modeling of structural equations. The statistical population consisted of all employees of Ardebil University of Mohaghegh who were selected by using stratified random sampling method in proportion to the size of each class. 280 subjects were selected as the statistical sample. Three general health questionnaires, a corruption inventory questionnaire and a psychological well-being questionnaire were used to collect the data. To analyze the data, correlation matrix and structural equation modeling (path analysis) were used. The findings of the research showed that there was a significant and positive relationship between mental health and administrative corruption (-0.54) and the psychological well-being (0.49). The relationship between psychological well-being and administrative corruption (-0.39) was negative and significant. Also, the relationship between mental health and administrative corruption with the role of mediation of psychological well-being (-52 / 0) was reversed and significant. Based on the findings of this research, the mental health of the organization's staff can be effective both in reducing administrative corruption and psychological well-being of employees.

Abstract Introduction: The purpose of this study was to investigate the role of virtual social networks in predicting academic procrastination, loneliness and mental health in students. Method: The statistical population consisted of all high school students of Qom that 334 people were selected by simple random sampling method. To gathering data, researcher made questionnaire of virtual social networks using, Sevari educational procrastination questionnaire, loneliness questionnaire (UCLA) and general health questionnaire were used. Regression analysis and Pearson correlation coefficient was performed for data analysis. Results: The results showed that the use of virtual social networks can predict academic procrastination, loneliness and mental health in students. Also academic procrastination, loneliness and mental health have a significant positive relationship with using time of virtual social network. Conclusion: Virtual social networks could be make some lives and psychological problems because of engaging its users.