جستجوی مقالات مرتبط با کلیدواژه « اعتیاد به شبکه های اجتماعی » در نشریات گروه « روانشناسی »

Social networking is virtual areas where individuals can create their virtual profiles and make friends with common interests. With the integration of social media into individuals’ everyday lives, it has the potential to affect many parts of human behavior. The purpose of the present study was to investigate mediating role of perceived social support in the relationship between social competences with virtual social networks addiction in students. This was descriptive-correlation research. The statistical population was female students in Karaj in year 2023. A sample of 400 students were selected with convenience method. Data collection tools include the social networking addiction scale of Griffiths, social competence questionnaire of Gómez-Ortiz, et al. and social support scale of Zimet, et al. Data were analyzed using Pearson correlation and structural equations modeling. The results showed significant direct effect of social competence and social support on virtual social networks addiction. Also, the results showed that perceived social support had a mediating role in relationship between social competences with virtual social networks addiction. Based on the results of this research, it is suggested that the relationship between these variables should be taken into consideration in interventions to social networks addiction.

Today, young people suffer from mental health problems due to the pressures and challenges that are likely to occur during their student days, so it is very important to recognize mental health problems and the factors that affect them.This study was conducted with the aim of investigating the moderating role of mindfulness in the relationship between addiction to social networks and social-emotional health in students.
 
The method of the present research was correlation of structural equation modeling. The statistical population of this research was all undergraduate students of Al-Zahra University in 1402-1401 and the sample size of the research was estimated at 302 people. The data of the research was collected using questionnaires for addiction to social networks by Ahmadi, Poladi and Bahraini (2015), social-emotional health by Furlong, Shishim and Dowdy (2017) and Freiburg mindfulness short form by Walach, Buchheld, Buttenmüller, Kleinknecht, & Schmidt (2006).
 
The results showed that there was a significant relationship between addiction to social networks and social-emotional health (β=-0.62, P=0.001), also between mindfulness and addiction to social networks (β=-0.85, P=0.001) and on the other hand, between A significant relationship was also observed between mindfulness and emotional-social health (β=0.3, P=0.001). The results also showed that there was a significant relationship between addiction to social networks and social-emotional health considering the moderating role of mindfulness.  
 
The research indicates that mindfulness plays a critical role in decreasing behavioral addictions, such as those related to social networks, while also improving social-emotional well-being. This highlights the potential for mindfulness to be a key component in preventive programs aimed at enhancing mental health in society.

The aim of the present study was to investigate the relationship between corona anxiety and social media addiction, depression and death anxiety in students of Shahid Chamran University of Ahvaz. the current research was of applied type and in terms of method it was a descriptive-correlational study. the statistical population of this research consisted of all male and female undergraduate students of shahid chamran university of ahvaz who were studying in 2021-2022, and among them, 240 people were selected through cluster sampling. they responded to the questionnaires about Corona anxiety by Ailpour et al. (2018), social media addiction by Khaje Ahmadi et al. (2015), depression of students by Kawaja and Bryden (2006) and Templer's death anxiety (1970). Data was analyzed by Pearson correlation test and multiple regression using SPSS version 26 software. the findings showed that social media addiction (r = 0.541), depression (r = 0.473) and death anxiety (r = 0.310) have a significant relationship with corona anxiety. also, the results of multiple regression showed that the variables of social media addiction and depression have the ability to predict Corona anxiety by 37% and 24%, respectively, but death anxiety was not able to predict Corona anxiety. the results of the findings showed that social media addiction and depression have the ability to predict the Corona anxiety, so it seems that in the conditions of the Corona epidemic, it is possible to reduce the anxiety of Corona by reducing the social media addiction and intervening to improve depression.

In the present paper, the modeling of academic procrastination based on Covid-19 anxiety with the social networks-addiction as the mediating role in high school students was studied.

This paper is a descriptive, correlational study that was carried out in the statistical population of high school students in Someh-sara city in academic year 2021-22. 300 students participated in this study through convenience sampling method and answered the following questionnaires: Corona Anxiety Scale (CDAS), Cellphone-based Social Network Addiction Questionnaire (AMQBSN) and Solomon and Roth Bloom Academic Procrastination Questionnaire (PASS). Data analysis was performed using SPSS and Amos statistical software through path analysis.

Bootstrap results showed that the direct effects of Corona anxiety on procrastination (β = -0.10), Corona anxiety on addiction (β=0.16), addiction on procrastination (β=-0.66) were significant and meaningful. The results also showed that the indirect effect of Corona anxiety on procrastination mediated by addiction (β=0.10) is significant and has a minor mediating role (P <0.05).

The results also indicate that the proposed model has a good fit. Therefore, it can be concluded from the present study that Covid-19 anxiety is directly related to academic procrastination through the mediation of social media addiction

Social networks play a very important role in people's relationships with each other, and one of the interpersonal components affecting the start of an addiction to social networks is the family and its function. Therefore, the present research was conducted aiming at investigating the role of family functioning in social network addiction by mediating basic psychological needs in students.
 
This study was a descriptive correlation research. The statistical population was composed of the high school students of Urmia in the academic year 2021-2022. From this population, a sample of 380 students was drawn. The selection was conducted through Morgan's table and cluster random sampling method. To collect data, Turel and Serenko’s (2012) social network addiction, Epstein and colleagues’ family functioning (2003), and Desi and Ryan basic psychological needs questionnaires (2000) were used. The data were analyzed using Pearson's correlation and structural equation analysis.
 
The results showed that family functioning has a direct and significant effect on addiction to social networks and a direct and significant effect on basic psychological needs. Also, basic psychological needs have an inverse and significant effect on addiction to social networks. Furthermore, family functioning has an indirect and significant effect on addiction to social networks through the mediation of basic psychological needs (05/0>P).
 
The increase in family functioning (a high score indicates poor functioning) has reduced the basic psychological needs of students, which in turn increases addiction to social networks.

Using the Internet and social networks is an integral part of our lives, however, excessive use of them has many psychological and social consequences. This study was conducted with the aim of a structural model of attachment styles, dark triad personality, and sensitivity to rejection with social media addiction mediated by communication skills in students.
 
The research method is descriptive-correlational modeling of structural equations. The statistical population of this study consists of all high school students in Nurabad (Delfan) in the academic year 1400, from which a sample of 400 high school students; was selected by cluster sampling method. They completed the online version of the Attachment Style Questionnaire (Hazen and Shiver 1987), Dark Triad Personality Questionnaire (Jones and Paulus 2014), Social Network Addiction Questionnaire (Tutgun-Ünal and Deniz 2015), and Korkut’s (1996) Communication Skills Questionnaire. They also responded to the Sensitivity to Rejection Scale (Dooney and Feldman 1996).
 
The results of structural equation modeling showed that attachment styles, dark personality triads, and rejection sensitivity account for 32% of the variance of communication skills. Also, social media addiction explains 41% of the variance of attachment styles, dark triad personality, Sensitivity to rejection, and communication skills.
 
Overall, the findings suggest that weakening rejection sensitivity, and enhancing Communication skills can be considered in future studies as contributors to social networking sites addiction for prevention or intervention studies.

The main purpose of this study was to provide a causal model of cognitive flexibility on addiction to social network with the mediating role of self-efficacy, psychological well-being and cognitive empathy.

descriptive correlational method was used in this study. The statistical population were all second year high school students of Shiraz city in the academic year of 1399-1400, they were included 68,152. The sample size was 382 which selected according to Cochran's formula. The sampling method used was a multi-stage cluster sampling. Data collection instruments included cognitive flexibility questionnaires by Dennis and Vanderwaal (2010), cognitive empathy by Jolliffe and Farrington (2006), psychological well-being by Rief (1989), general self-efficacy by Sherer et al. (1982) and addiction to social networks by Ahmadi et al (1395).

The path analysis method was used to analyze the data. Research findings indicated that cognitive flexibility has a direct effect on self-efficacy, psychological well-being, and cognitive empathy. Also, self-efficacy, psychological well-being and cognitive empathy have a direct effect on addiction to social networks. Generally, it can be said that self-efficacy, psychological well-being, and cognitive empathy has a mediating role in the relationship between cognitive flexibility and addiction to social networks.

All the variables mentioned in this study explained only 0.07 of the variables in addiction to social network and the research model has a relatively goodness of fit regarding the data.Keywords: cognitive flexibility, addiction to social networks, self-efficacy, psychological well-being, cognitive empathy

Social networks are a source of distraction in personal, educational and professional work. The aim of this study was to construct a structural model of type D personality with social media addiction as a mediating role of emotional self-awareness in adolescents. The research method is descriptive-correlational modeling of structural equations. The statistical population of this study consists of all high school students in Nurabad (Delfan) in the academic year 1400. The sample consisted of 384 high school students in Nurabad (Delfan) who were selected by convenience sampling method and used the type D personality Denollet (1998), Emotion Awareness Questionnaire Lahaye (2011), Social Media Addiction Scale Tutgun-Ünal, & Deniz (2015) responded online. Structural equation modeling and AMOS edition 24 and SPSS 26 were used to evaluate the proposed model. The results of Pearson correlation coefficient showed that there was a negative relationship between personality type D and emotional self-awareness (P≥0.001). There is also a positive relationship between personality type D and social media addiction (P≥0.001). The proposed model had the necessary fit with the data. Structural equation modeling showed that 25% of the variance of emotional self-awareness and 32% of the variance of social media addiction is explained by type D personality and emotional self-awareness. Although the personality type of individuals and the level of awareness of emotions in addiction to related networks, but it should be borne in mind that the proper use of these networks can be a useful resource in the process of primary education of students

The aim of the current research is to investigate the structural relationships of mental health based on virtual network dependence mediated by parental supervision style in high school students. According to the purpose, application and method of this research, the correlation is of structural equation modeling type. The statistical population of the research included the secondary school students in the city of Langrood in the academic year 2020-2021. The number of samples was assigned based on Klein’s rule of 220 people using the available sampling method. After data collection, 173 questionnaires, including 79 girls and 94 boys, were analyzed. The research instruments included Mental Health Questionnaires (GHQ), Addiction to Social Networks (SNA), and parents’ Supervisory Style (SKSS). The structural equation modeling method and Smart pls3 software were used for data analysis. The results showed that social network dependency was negatively and significantly related to mental health and parents’ supervision style. The research results indicate a positive significant relationship between parents’ supervision style and mental health. Moreover, parents’ supervision style may play a mediating role in the relationship between virtual network addiction and mental health. Therefore, social network addiction may increase the risk of depression and anxiety in teenagers. This problem has implications for teen mental health. Lack of adequate parental control leads to problems such as isolation, moral decline, aggression, and anxiety in teenagers.

The research aimed to study the mediating role of perceived social support in the relation between adult attachment styles and social media addiction of Instagram users The statistical population of the study consisted of adult Instagram users in Tehran. The sample comprised 50 adults aged 18-60 who completed the measures adult attachment styles scale. perceived social support inquiry and social media addiction scale. The result from structural equation modeling (via Smart PLS) demonstrated that only the association between secure attachment style and social media addiction was mediated by perceived social support  .on the other hand ambivalent and avoidant attachment styles were not found to be associated indirectly with social media addition by the mediation of perceived social support. but the direct association between avoidant and ambivalent styles has been found. The Finding of this study suggests that ambivalent and avoidant attachment can be risk factors for social media addiction. on the other hand secure attachment style may not be necessarily a protective factor and mediating role of perceived social support was only found between secure attachment and social media addiction. The present study represents a step toward a better understanding of the psychological mechanisms and theoretical foundation for future studies on social media addiction.

This study aimed to investigate the mediating role of body image anxiety in the relationship between attitudes toward cosmetic surgery and social media addiction in adolescents. The design of the study was descriptive-correlational by path analysis. To achieve the objectives of the research, among all adolescents aged 14 to 18 years old in Tabriz schools in 1400, a sample of 357 people was selected by the available sampling method. Data were collected using SMD Social Network Addiction Questionnaire (Ejenden et al., 2016), ACSS Attitude Towards Cosmetic Surgery (Henderson and Henderson, 2005), and BICI Body Image Concern (Littleton et al., 2005). To analyze the data, the path analysis method was used, which showed a relatively good fit for the hypothetical research model. Findings showed the direct effect of social media addiction (β = 0.13) and body image anxiety (41 / Β = 0) on the attitude towards cosmetic surgery and also the indirect effect of social media addiction on the attitude towards cosmetic surgery through the mediating variable of body image concern (β = 0.26) It is positive and significant (p <0.05). Considering that the indirect effect of social media addiction on attitudes toward cosmetic surgery through the mediating variable of body image concern is greater than the direct effect of social media addiction on attitudes toward cosmetic surgery; Therefore, it can be concluded that body image concerns can mediate the relationship between attitudes toward cosmetic surgery and social media addiction.

The aim of the present study was to analyze the "Addiction to Mobile-Based Social Networks" questionnaire using the Rasch measurement model. The study population of secondary school students. the sample selected included 345 people with the available method of selection. The study instrument was a mobile-based social network addiction questionnaire developed by Khajeh Ahmadi et al. (2016). The methods used for the analysis were one-dimensional partial validity of the Rush family model. The software used was spss version 25, winsteps and jMetric version 4. The findings showed that 2 questions 17 and 21 were inappropriate at the selected sample level, but the other 21 questions in this questionnaire followed the one dimensional model and had the desired fit. The reliability of the instrument was also measured using PSI and compared with the common method of measuring this index in CTT, which is the alpha coefficient, which showed more favorable results.

This study aimed to investigate the role of family communication patterns and classroom psychosocial and social environment in addiction to mobile-based social networks. The current study had a statistical population including all male senior high school students in Zahedan. 244 students were selected by using a multistage sampling method. In order to collect data, Koerner and Fitzpatrick Family Communication Patterns Questionnaire, Fraser et al. Classroom Psychosocial Environment Inventory, and addiction to mobile-based social networks questionnaire were used. The results indicated that both dimensions of family communication patterns were significantly and negatively related to addiction to social networks and among the dimensions of classroom psychosocial environment, friction and competition had significant and positive relationships with addiction to social networks and cohesion and discipline had significant and negative relationships with it. The results of a stepwise regression analysis showed that conversation, friction, conformity, competition, and cohesion could explain a total of 49% of variances in addiction to social networks. Therefore, according to the findings of the present study, families can be suggested to adopt conversational strategies when interacting with their children and teachers are recommended to direct their classroom environments towards cohesion and constructive engagement.

The aim of this study was to predict of the role of self- regulation, self-presentation and dark triad personality in students addiction to Social Networking Sites. The research method was descriptive correlational research, The study population consisted of all students of Ardabil University of Medical Sciences (N= 3200). 234 students were sampled Multi-stage sampling method. Data was gathered using Schwarzer’s Self-Regulation Scale (1999), Ackerman’s Self-Presentation Questionnaire(1979), Jonason& Webster Dark Triad Personality Scale(2010) and Questionnaire of Online Network Social Sites(α=/787).. Multiple regression analysis showed the significant role of self-regulation and self-presentation in predict of SNS addiction. Therefore Self-regulation and self-presentation can predict addiction to Social Networking Sites. Anticipating thid psychological characteristics and by psychological interventions based on "self" or "self-regulation" we can prevent student's dependence to Social Networking Sites.

In recent years, Facebook has quickly become the most common communication tool. Many studies have shown that excessive use, especially addiction to Facebook can lead to devastating effects on individuals social and professional life.With respect to lack of studies in determination and introducing psychological factors of predicting addiction to Facebook, the present study aimed to examine the role of perceived loneliness and social anxiety in addiction to Facebook. This study was conducted with a correlational method. Using convenience sampling, 351 individuals (216 female and 135 male) were selected among users of Facebook in second part of 2014. They were evaluated by short form of the social and emotional loneliness scale for adults (SELSA-S), social anxiety and Bergen addiction to Facebook. Data were analyzed by Multiple Regression method (stepwise). Results showed that there was a meaningful relationship between perceived loneliness, social anxiety and addiction to Facebook. On the whole, physiological symptoms, social loneliness, avoidance and anxiety are the best predictors of addiction to Facebook. Consequently, it can be concluded that perceived loneliness and social anxiety can predict addiction to Facebook.