Journal of Pedagogical Sociology and Psychology
Predictors of problematic social media use among university students: The roles of escapism, social connectedness, and psychological resilience
Şule Betül Tosuntaş 1 *
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1 Faculty of Education, Department of Educational Sciences, Bursa Uludağ University, Bursa, Türkiye
* Corresponding Author
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Journal of Pedagogical Sociology and Psychology, 2026 - Volume 8 Issue 3, Article No: e47451
https://doi.org/10.33902/JPSP.202647451

Article Type: Research Article

Published Online: 26 Oct 2026

Views: 9 | Downloads: 3

ABSTRACT
This study aimed to identify the psychological and behavioral predictors of problematic social media use (PSMU) among university students, focusing on escapism, social connectedness, online disinhibition, perceived social support, and psychological resilience. A cross-sectional design was used. Data were collected online from 515 university students aged 18–30 years (74.8% female; mean age 21.0±2.4 years). PSMU was assessed with the Bergen Social Media Addiction Scale (BSMAS), with risk status defined by the established cut-off score of ≥19. Escapism, social connectedness, perceived social support, psychological resilience, online disinhibition (benign and toxic), and daily social media use were examined as predictors in binary logistic regression (risk status) and linear regression (continuous score) models, adjusting for age and gender; discriminative ability was evaluated using ROC analysis. In total, 40.2% of participants were classified as being at risk for PSMU. Both models explained substantial variance (Nagelkerke R²=0.30, AUC=0.78; linear R²=0.33). Escapism was the strongest predictor in both models (OR=1.75, 95% CI [1.39–2.21]; B=2.13; both p<0.001), followed by daily use duration and low social connectedness. Psychological resilience was a significant protective factor (OR=0.79; B=−0.72). Benign online disinhibition predicted PSMU risk status but not the continuous score; toxic disinhibition, perceived social support, age, and gender were not significant. Among university students, PSMU risk is most strongly associated with escapism-motivated use, whereas psychological resilience plays a protective role. Prevention and intervention efforts in higher education settings should prioritize reducing escapism-driven use and strengthening psychological resilience to support students' mental health and academic functioning.
KEYWORDS
Problematic social media use; Escapism; Psychological resilience; Social connectedness; University students
In-text citation: (Tosuntaş, 2026)
Reference: Tosuntaş, Ş. B. (2026). Predictors of problematic social media use among university students: The roles of escapism, social connectedness, and psychological resilience. Journal of Pedagogical Sociology and Psychology, 8(3), e47451. https://doi.org/10.33902/JPSP.202647451
In-text citation: (1), (2), (3), etc.
Reference: Tosuntaş ŞB. Predictors of problematic social media use among university students: The roles of escapism, social connectedness, and psychological resilience. Journal of Pedagogical Sociology and Psychology. 2026;8(3), e47451. https://doi.org/10.33902/JPSP.202647451
In-text citation: (1), (2), (3), etc.
Reference: Tosuntaş ŞB. Predictors of problematic social media use among university students: The roles of escapism, social connectedness, and psychological resilience. Journal of Pedagogical Sociology and Psychology. 2026;8(3):e47451. https://doi.org/10.33902/JPSP.202647451
In-text citation: (Tosuntaş, 2026)
Reference: Tosuntaş, Şule Betül. "Predictors of problematic social media use among university students: The roles of escapism, social connectedness, and psychological resilience". Journal of Pedagogical Sociology and Psychology 2026 8 no. 3 (2026): e47451. https://doi.org/10.33902/JPSP.202647451
In-text citation: (Tosuntaş, 2026)
Reference: Tosuntaş, Ş. B. (2026). Predictors of problematic social media use among university students: The roles of escapism, social connectedness, and psychological resilience. Journal of Pedagogical Sociology and Psychology, 8(3), e47451. https://doi.org/10.33902/JPSP.202647451
In-text citation: (Tosuntaş, 2026)
Reference: Tosuntaş, Şule Betül "Predictors of problematic social media use among university students: The roles of escapism, social connectedness, and psychological resilience". Journal of Pedagogical Sociology and Psychology, vol. 8, no. 3, 2026, e47451. https://doi.org/10.33902/JPSP.202647451
REFERENCES
  • Aldao, A., Nolen-Hoeksema, S., & Schweizer, S. (2010). Emotion-regulation strategies across psychopathology: A meta-analytic review. Clinical Psychology Review, 30(2), 217–237. https://doi.org/10.1016/j.cpr.2009.11.004
  • Andreassen, C. S., Billieux, J., Griffiths, M. D., Kuss, D. J., Demetrovics, Z., Mazzoni, E., & Pallesen, S. (2016). The relationship between addictive use of social media and video games and symptoms of psychiatric disorders: A large-scale cross-sectional study. Psychology of Addictive Behaviors, 30(2), 252–262. https://doi.org/10.1037/adb0000160
  • Bányai, F., Zsila, Á., Király, O., Maraz, A., Elekes, Z., Griffiths, M. D., Andreassen, C. S., & Demetrovics, Z. (2017). Problematic social media use: Results from a large-scale nationally representative adolescent sample. PLOS ONE, 12(1), Article e0169839. https://doi.org/10.1371/journal.pone.0169839
  • Bilgin, O., & Taş, İ. (2018). Effects of perceived social support and psychological resilience on social media addiction among university students. Universal Journal of Educational Research, 6(4), 751–758. https://doi.org/10.13189/ujer.2018.060418
  • Bonanno, G. A. (2004). Loss, trauma, and human resilience: Have we underestimated the human capacity to thrive after extremely aversive events? American Psychologist, 59(1), 20–28. https://doi.org/10.1037/0003-066X.59.1.20
  • Caplan, S. E. (2010). Theory and measurement of generalized problematic Internet use: A two-step approach. Computers in Human Behavior, 26(5), 1089–1097. https://doi.org/10.1016/j.chb.2010.03.012
  • Cheng, C., Lau, Y.-C., Chan, L., & Luk, J. W. (2021). Prevalence of social media addiction across 32 nations: Meta-analysis with subgroup analysis of classification schemes and cultural values. Addictive Behaviors, 117, Article 106845. https://doi.org/10.1016/j.addbeh.2021.106845
  • Çiçek, İ., Ünsal, F., & Korkmaz, Z. (2026). Loneliness and problematic social media use among university students: Exploring the mediating roles of meaning in life and resilience. Psychology, Health & Medicine, 31(6), 1471–1485. https://doi.org/10.1080/13548506.2025.2581894
  • Doğan, T. (2015). Kısa Psikolojik Sağlamlık Ölçeği’nin Türkçe uyarlaması: Geçerlik ve güvenirlik çalışması [Adaptation of the Brief Resilience Scale into Turkish: A validity and reliability study]. The Journal of Happiness & Well-Being, 3(1), 93–102.
  • Duru, E. (2007). Sosyal Bağlılık Ölçeği’nin Türk kültürüne uyarlanması [Adaptation of the Social Connectedness Scale to Turkish culture]. Eurasian Journal of Educational Research, 26, 85–94.
  • Eker, D., Arkar, H., & Yaldız, H. (2001). Çok Boyutlu Algılanan Sosyal Destek Ölçeği’nin gözden geçirilmiş formunun faktör yapısı, geçerlik ve güvenirliği [Factorial structure, validity, and reliability of the revised form of the Multidimensional Scale of Perceived Social Support]. Türk Psikiyatri Dergisi, 12(1), 17–25.
  • Gao, W., Liu, Z., & Li, J. (2017). How does social presence influence SNS addiction? A belongingness theory perspective. Computers in Human Behavior, 77, 347–355. https://doi.org/10.1016/j.chb.2017.09.002
  • Gelman, A., & Stern, H. (2006). The difference between “significant” and “not significant” is not itself statistically significant. The American Statistician, 60(4), 328–331. https://doi.org/10.1198/000313006X152649
  • Griffiths, M. D. (2005). A “components” model of addiction within a biopsychosocial framework. Journal of Substance Use, 10(4), 191–197. https://doi.org/10.1080/14659890500114359
  • Hays, R. D., & DiMatteo, M. R. (1987). A short-form measure of loneliness. Journal of Personality Assessment, 51(1), 69–81. https://doi.org/10.1207/s15327752jpa5101_6
  • Kardefelt-Winther, D. (2014). A conceptual and methodological critique of internet addiction research: Towards a model of compensatory internet use. Computers in Human Behavior, 31, 351–354. https://doi.org/10.1016/j.chb.2013.10.059
  • Kircaburun, K., & Griffiths, M. D. (2019). Problematic Instagram use: The role of perceived feeling of presence and escapism. International Journal of Mental Health and Addiction, 17(4), 909–921. https://doi.org/10.1007/s11469-018-9895-7
  • Kurek, A., Jose, P. E., & Stuart, J. (2019). “I did it for the LULZ”: How the dark personality predicts online disinhibition and aggressive online behavior in adolescence. Computers in Human Behavior, 98, 31–40. https://doi.org/10.1016/j.chb.2019.03.027
  • Kuss, D. J., & Griffiths, M. D. (2017). Social networking sites and addiction: Ten lessons learned. International Journal of Environmental Research and Public Health, 14(3), Article 311. https://doi.org/10.3390/ijerph14030311
  • Lee, R. M., & Robbins, S. B. (1995). Measuring belongingness: The Social Connectedness and Social Assurance scales. Journal of Counseling Psychology, 42(2), 232–241. https://doi.org/10.1037/0022-0167.42.2.232
  • Nowland, R., Necka, E. A., & Cacioppo, J. T. (2018). Loneliness and social internet use: Pathways to reconnection in a digital world? Perspectives on Psychological Science, 13(1), 70–87. https://doi.org/10.1177/1745691617713052
  • Shannon, H., Bush, K., Villeneuve, P. J., Hellemans, K. G. C., & Guimond, S. (2022). Problematic social media use in adolescents and young adults: Systematic review and meta-analysis. JMIR Mental Health, 9(4), Article e33450. https://doi.org/10.2196/33450
  • Smith, B. W., Dalen, J., Wiggins, K., Tooley, E., Christopher, P., & Bernard, J. (2008). The brief resilience scale: Assessing the ability to bounce back. International Journal of Behavioral Medicine, 15(3), 194–200. https://doi.org/10.1080/10705500802222972
  • Suler, J. (2004). The online disinhibition effect. CyberPsychology & Behavior, 7(3), 321–326. https://doi.org/10.1089/1094931041291295
  • Tosuntaş, Ş. B., & Griffiths, M. D. (2026). Psychometric evaluation of the Turkish Online Disinhibition Scale [Manuscript submitted for publication]. Faculty of Education, Bursa Uludağ University.
  • Tosuntaş, Ş. B., Karadağ, E., Emirtekin, E., Kircaburun, K., & Griffiths, M. D. (2024). Sofalizing and its relationship with social media addiction and psychosocial factors: A new phenomenon among emerging adults. The Social Science Journal, 61(2), 378–390. https://doi.org/10.1080/03623319.2020.1809900
  • Udris, R. (2014). Cyberbullying among high school students in Japan: Development and validation of the Online Disinhibition Scale. Computers in Human Behavior, 41, 253–261. https://doi.org/10.1016/j.chb.2014.09.036
  • Udris, R. (2016). Cyberdeviance among adolescents: Analyzing the online–offline overlap and predictors of deviant behavior [Doctoral dissertation, Osaka University]. Osaka University Knowledge Archive. https://doi.org/10.18910/56042
  • Yang, H., Quek, F. Y. X., Yap, S. X. H., Tng, G. Y. Q., & Ng, G. R. (2026). A stress-induced digital escapism framework for understanding the link between stress and problematic social media use. Behavioral Sciences, 16(6), Article 853. https://doi.org/10.3390/bs16060853
  • Yildirim Demirdöğen, E., Akinci, M. A., Bozkurt, A., Bayraktutan, B., Turan, B., Aydoğdu, S., Ucuz, İ., Abanoz, E., Yitik Tonkaz, G., Çakir, A., & Ferahkaya, H. (2024). Social media addiction, escapism and coping strategies are associated with the problematic internet use of adolescents in Türkiye: A multi-center study. Frontiers in Psychiatry, 15, Article 1355759. https://doi.org/10.3389/fpsyt.2024.1355759
  • Yıldız, M. A., & Duy, B. (2014). Adaptation of the short-form of the UCLA Loneliness Scale (ULS-8) to Turkish for the adolescents. Düşünen Adam: The Journal of Psychiatry and Neurological Sciences, 27(3), 194–203. https://doi.org/10.5350/DAJPN2014270302
  • Zimet, G. D., Dahlem, N. W., Zimet, S. G., & Farley, G. K. (1988). The multidimensional scale of perceived social support. Journal of Personality Assessment, 52(1), 30–41. https://doi.org/10.1207/s15327752jpa5201_2
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