Volume 23, Issue 2 (9-2025)
RBS 2025, 23(2): 360-370 |
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Jamshidi S, Asghari Ebrahimabad M J, Rasoolzadeh Tabatabaei S K. Epidemiology of Symptoms of Social Media Addiction Disorder and Related Demographic Factors in Students of Mashhad. RBS 2025; 23 (2) :360-370
URL: http://rbs.mui.ac.ir/article-1-1983-en.html
URL: http://rbs.mui.ac.ir/article-1-1983-en.html
1- PhD Student of Psychology, Faculty of Educational Sciences and Psychology, Ferdowsi University of Mashhad, Mashhad, Iran.
2- Associate Professor of Psychology, Department of Psychology, Faculty of Educational Sciences and Psychology, Ferdowsi University of Mashhad, Mashhad, Iran. ,mjasghari@um.ac.ir
3- Associate Professor of Psychology, Department of Psychology, Faculty of Educational Sciences and Psychology, Ferdowsi University of Mashhad, Mashhad, Iran.
2- Associate Professor of Psychology, Department of Psychology, Faculty of Educational Sciences and Psychology, Ferdowsi University of Mashhad, Mashhad, Iran. ,
3- Associate Professor of Psychology, Department of Psychology, Faculty of Educational Sciences and Psychology, Ferdowsi University of Mashhad, Mashhad, Iran.
Abstract: (226 Views)
Aim and Background: Considering the importance of mental health and the high prevalence of social media use in the country, the purpose of this study was to estimate the prevalence of social media addiction disorder symptoms and related demographic factors among students in Mashhad in 1403.
Methods and Materials: The present research design was cross-sectional with descriptive and correlational purposes, and data were collected through a survey method. The statistical population of the study consisted of students studying at universities in Mashhad. In this study, 1549 students were selected through voluntary sampling. The Social Media Disorder Scale by Van Den Eijnden et al. (2016) was used to collect data. The collected data were analyzed using descriptive statistics, chi-square test, and SPSS software version 26.
Findings: The results of this study showed that about 33.2% of students in Mashhad have symptoms of social media addiction disorder at a clinical level. The average number of hours spent using social media throughout the day among the student population was 4.12 hours. The most used social media by students were Telegram (35.2%), Instagram (26.7%), Eitaa (15.6%), Rubika (9.4%), YouTube (9%), and others. The most important motivations for students in using social media were entertainment (24.6%), social communication (23.9%), scientific and educational (18.9%), stress reduction and negative thoughts (14.1%), time wasting and aimlessness (9.3%), earning money (4.6%), and other factors (6.4%). The chi-square test showed that there was no significant relationship between social media addiction and gender, marital and occupational status, educational level, and type of university (p<0.005).
Conclusions: The above results indicate the importance of health and treatment planning for the student group as an at-risk group, and the need to pay attention to the psychological state and appropriate psychotherapy interventions is an urgent need for students.
Methods and Materials: The present research design was cross-sectional with descriptive and correlational purposes, and data were collected through a survey method. The statistical population of the study consisted of students studying at universities in Mashhad. In this study, 1549 students were selected through voluntary sampling. The Social Media Disorder Scale by Van Den Eijnden et al. (2016) was used to collect data. The collected data were analyzed using descriptive statistics, chi-square test, and SPSS software version 26.
Findings: The results of this study showed that about 33.2% of students in Mashhad have symptoms of social media addiction disorder at a clinical level. The average number of hours spent using social media throughout the day among the student population was 4.12 hours. The most used social media by students were Telegram (35.2%), Instagram (26.7%), Eitaa (15.6%), Rubika (9.4%), YouTube (9%), and others. The most important motivations for students in using social media were entertainment (24.6%), social communication (23.9%), scientific and educational (18.9%), stress reduction and negative thoughts (14.1%), time wasting and aimlessness (9.3%), earning money (4.6%), and other factors (6.4%). The chi-square test showed that there was no significant relationship between social media addiction and gender, marital and occupational status, educational level, and type of university (p<0.005).
Conclusions: The above results indicate the importance of health and treatment planning for the student group as an at-risk group, and the need to pay attention to the psychological state and appropriate psychotherapy interventions is an urgent need for students.
Type of Study: Research |
Subject:
Special
Received: 2025/07/30 | Accepted: 2025/10/22 | Published: 2025/09/1
Received: 2025/07/30 | Accepted: 2025/10/22 | Published: 2025/09/1
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