درخت حوزه‌های تخصصی

Purpose: One of the concerns of citizens and officials of organizations and institutions is social vitality development. Therefore, the present study was conducted to propose a model for social vitality development using meta-synthesis approach. Methodology: This study was applied in terms of objective and qualitative in terms of research method. The field of research was all articles on social vitality during 1990-2022, 39 of which were selected based on inclusion criteria by purposive sampling. The data were collected by taking notes from the articles and analyzed by content analysis based on the seven-step meta-synthesis approach of Sandelowski and Barroso (2007). Findings: The results showed that 19 components and 3 dimensions were identified for a model for social vitality development. The dimensions include urban development and urban planning (6 components of compliance with the principles of urbanization and good urban governance, urban furniture design and beautification of the neighborhood, urban services and preservation of the urban environment, calming of roads and smoothing of traffic, design and construction of parks and gardens, and construction of smart parking lots), social and cultural affairs (7 components of public and morning sports, development of sports centers, development of culture and art houses, citizen health services, development of game and entertainment centers, implementation of citizenship education programs and skill training and entrepreneurship) and relations and citizenship rights (6 components of strengthening family relations, neighborhood rights, strengthening the network of friends, local cohesion and identity, resilience and the narrative of the sense of experiencing vitality in the company of friends). Finally, according to the identified components and dimensions, a model was designed for social vitality development. Conclusion: The designed model for social vitality development based on meta-synthesis approach can have many practical implications for citizens and officials of urban and governmental organizations and institutions. Accordingly, they can design and implement solutions for social vitality development

Purpose: The aim of this study was to investigate the role of cognitive emotion regulation in predicting high-risk behaviors mediated by the well-being of 14-17 year old girls in Saravan city. Methodology: This research was descriptive and correlational and was conducted by structural equation modeling based on the partial least squares approach. The statistical population included all 14 to 17 year old male students in Saravan in the academic year 2019-20, and 400 of them were selected by random sampling. The collection tools included questionnaires of prevalence of high-risk behaviors Zadeh محمدi (2008), cognitive emotion regulation of Garnefski et al. (2002). The collected data were analyzed using Pearson correlation coefficient in SPSS software and structural equation model by Lisrel software. Findings: Findings from Pearson correlation coefficient showed that there is a significant positive and negative correlation between the total score of high-risk behaviors with emotion regulation and school well-being at 99% confidence level, respectively, and the structural equation model shows the indirect effect of high-risk behaviors with emotion regulation with School welfare mediation was significant with a coefficient of 0.78, so it can be said that high-risk behaviors with emotion regulation have a significant relationship with school welfare mediation. Conclusion: According to the research results, the hypothesis that the level of high-risk behaviors in female adolescent students can be predicted based on emotional behaviors and mediation of school well-being was confirmed

Cyberactivism, as civic engagement, is enabled by social media, and has attracted many users to participate in leading social change. To shed more light on the relationship between cyberactivism and real-world (social) activism, within a quantitative approach, employing correlational research design, and a group comparison research design, the current research examined two linear regression models for the relationships among online sharing, homophily, attitudinal influenceability, and behavioral influenceability, and also, among behavioral influenceability, cyberactivism and social activism, and then examined the effects of sociodemographic characteristics of Iranian Instagram users on these variables in a 393-participant sample. The alternative hypotheses about the relationships among the variables in these two models, were retained. The results also showed that age, gender, and occupational status had effects on almost all variables. This study contributes to the existing literature by introducing attitudinal and behavioral influenceability as important factors influencing cyberactivism and social activism. It encourages governments to take full advantage of online activities and cyberactivism to promote social participation and real-world activism, especially among youth and females, to transcend society, and better solve societal and global problems with the collective wisdom.