ABSTRACT VIEW
Abstract NUM 1569

PREDICTING ADOLESCENTS’ DIGITAL WELL-BEING: THE ROLE OF SOCIAL MEDIA ADDICTION AND FAMILY LIFE QUALITY IN THE SULTANATE OF OMAN
S. Al-Dhafri, H. Alsaidi, S. Alhadabi, N. Alrajhi, M. Al-Rahbi
Sultan Qaboos University (OMAN)
The study aimed to explore the prediction of adolescents’ digital well-being using their levels of social media addiction. The study employed a mediational model to examine the mediating role of family and social life quality in the relationship between social media addiction and digital psychological well-being. The study adopted a descriptive approach, with a sample consisting of (1,277) university and school students—university students (N=777) in their first year at Sultan Qaboos University and school students in grades 9-10 (N=500). Participants responded to scales measuring social media addiction, family and social life quality, and digital psychological well-being. The results demonstrated the possibility of developing a model illustrating the pathway of relationships between social media addiction, family and social life quality, and digital psychological well-being for both university students (Chi-Square = 1.570, df = 2, p = 0.456, RMSEA = 0.000, GFI = 0.999, AGFI = 0.994, CFI = 1.000) and school students (Chi-Square = 0.739, df = 1, p = 0.390, RMSEA = 0.000, GFI = 0.999, AGFI = 0.991, CFI = 1.000). Family and social life quality mediated the relationship between social media addiction and digital psychological well-being, explaining 10% of the variance in digital psychological well-being among university students and 34% of the variance among school students in grades 9-10 in the Sultanate of Oman.

Acknowledgement:
This presentation was made possible by OSRA RESEARCH GRANT # OSRA6-G-202307-00194 from the Doha International Family Institute (a member of Qatar Foundation). The findings achieved herein are solely the responsibility of the author.

Keywords: Social media addiction, well-being, social life quality.

Event: ICERI2025
Session: Student Wellbeing (2)
Session time: Tuesday, 11th of November from 17:15 to 18:30
Session type: ORAL