Meta-analysis of the relationship between social media addiction and psychological well-being among university students: A comprehensive review

Begzod K. Khodjaev 1 * , Rasuljon K. Atamuratov 2, Muslima K. Bozorova 3, Murodulla K. Ismailov 4, Sarvinoz M. Norboyeva 3, Nasiba Z. Sayimbetova 5
More Detail
1 Department of Pedagogy, National Pedagogical University of Uzbekistan, Tashkent, UZBEKISTAN
2 Department of Computational Linguistics and Digital Technologies, Alisher Navo’i Tashkent State University of Uzbek Language and Literature, Tashkent, UZBEKISTAN
3 Department of Pedagogy and Social Work, Termez State University, Termez, UZBEKISTAN
4 Department of Pedagogy, Termez State Pedagogical Institute, Termez, UZBEKISTAN
5 Department of Building and Structure Construction, Karakalpak State University, Nukus, UZBEKISTAN
* Corresponding Author
Online Journal of Communication and Media Technologies, Volume 16, Issue 3, Article No: e202642. https://doi.org/10.30935/ojcmt/18954
OPEN ACCESS   60 Views   53 Downloads   Published online: 13 Jul 2026
Download Full Text (PDF)

ABSTRACT

This meta-analysis synthesizes correlational research on the relationship between social media addiction and psychological well-being among university students. A random effects model, using 62 independent studies (total N = 17,800) covering publications from 2017-2026, identified through systematic searches in the Web of Science, Scopus, and ProQuest databases, yielded an overall combined effect size of r = -0.41 (95% confidence interval [-0.47, -0.35]), indicating a moderate negative association. High heterogeneity (I² = 87.4%) demonstrated the feasibility of systematic moderator analyses examining six variables. Therefore, scale of measurement, cultural context, type of social media platform, presence and type of mediating variables, publication type, and publication year were tested as moderators. Mediating variables particularly sleep quality, self-regulation, and critical thinking significantly strengthened the negative association. Cultural context also emerged as a significant moderator. Studies conducted in a Middle Eastern context yielded the largest effect sizes. Publication year showed a significant trend, with effect sizes steadily increasing over time. Publication bias assessments via funnel plot review, Egger test, and trimming and stuffing procedure showed no significant bias. The findings have practical implications for university consulting services and policymakers tasked with developing targeted digital well-being interventions.

CITATION

Khodjaev, B. K., Atamuratov, R. K., Bozorova, M. K., Ismailov, M. K., Norboyeva, S. M., & Sayimbetova, N. Z. (2026). Meta-analysis of the relationship between social media addiction and psychological well-being among university students: A comprehensive review. Online Journal of Communication and Media Technologies, 16(3), e202642. https://doi.org/10.30935/ojcmt/18954

REFERENCES

  • *Abiddine, F. Z. E., Aljaberi, M. A., Alduais, A., Lin, C.-Y., Vally, Z., & D. Griffiths, M. (2025). The psychometric properties of the Arabic Bergen social media addiction scale. International Journal of Mental Health and Addiction, 23(5), 3395-3415. https://doi.org/10.1007/s11469-024-01297-x
  • *Alnjadat, R., Hmaidi, M. M., Samha, T. E., Kilani, M. M., & Hasswan, A. M. (2019). Gender variations in social media usage and academic performance among the students of University of Sharjah. Journal of Taibah University Medical Sciences, 14(4), 390-394. https://doi.org/10.1016/j.jtumed.2019.05.002
  • Alshalawi, A. S. (2022). The influence of social media networks on learning performance and students’ perceptions of their use in education: A literature review. Contemporary Educational Technology, 14(4), Article ep378. https://doi.org/10.30935/cedtech/12164
  • Andreassen, C. S., Torsheim, T., Brunborg, G. S., & Pallesen, S. (2012). Development of a Facebook addiction scale. Psychological Reports, 110(2), 501-517. https://doi.org/10.2466/02.09.18.PR0.110.2.501-517
  • *Ansari, S., Iqbal, N., Asif, R., Hashim, M., Farooqi, S. R., & Alimoradi, Z. (2024). Social media use and well-being: A systematic review and meta-analysis. Cyberpsychology, Behavior, and Social Networking, 27(10), 704-719. https://doi.org/10.1089/cyber.2024.0001
  • Arnett, J. J. (2000). Emerging adulthood: A theory of development from the late teens through the twenties. American Psychologist, 55(5), 469-480. https://doi.org/10.1037/0003-066X.55.5.469
  • *Aslan, I., & Çınar, O. (2023). Predictors and prevalence of stress, anxiety, depression, and PTSD among university students during the second wave of the COVID-19 pandemic in Turkey. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.1087528
  • *Aslan, I., & Polat, H. (2024). Investigating social media addiction and impact of social media addiction, loneliness, depression, life satisfaction and problem-solving skills on academic self-efficacy and academic success among university students. Frontiers in Public Health, 12. https://doi.org/10.3389/fpubh.2024.1359691
  • Bektas, F., Çogaltay, N., Karadag, E., & Ay, Y. (2015). School culture and academic achievement of students: A meta-analysis study. Anthropologist, 21(3), 482-488. https://doi.org/10.1080/09720073.2015.11891837
  • *Boniel-Nissim, M., & Alt, D. (2022). Problematic social media use and intensive social media use among academic students during the COVID-19 pandemic: Associations with social support and life satisfaction. Frontiers in Education, 7. https://doi.org/10.3389/feduc.2022.876774
  • *Bonsaksen, T., Ruffolo, M., Price, D., Leung, J., Thygesen, H., Lamph, G., Kabelenga, I., & Geirdal, A. Ø. (2023). Associations between social media use and loneliness in a cross-national population: Do motives for social media use matter? Health Psychology and Behavioral Medicine, 11(1), Article 2158089. https://doi.org/10.1080/21642850.2022.2158089
  • Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2009). Introduction to meta-analysis. Wiley. https://doi.org/10.1002/9780470743386
  • *Cai, F., Wang, Y., & Jin, S. (2026). The impact of social media addiction on college students’ mental health through social support and resilience. Scientific Reports, 16(1), Article 5087. https://doi.org/10.1038/s41598-026-35779-w
  • *Che, X., Lu, Z., & Jin, Y. (2025). Social media addiction as the central mediating variable to explore the mechanism between physical exercise and sleep quality. Scientific Reports, 15(1), Article 26800. https://doi.org/10.1038/s41598-025-11225-1
  • Cochran, W. G. (1954). The combination of estimates from different experiments. Biometrics, 10(1), 101-129. https://doi.org/10.2307/3001666
  • Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum.
  • Cooper, H., Hedges, L. V., & Valentine, J. C. (Eds.). (2019). The handbook of research synthesis and meta-analysis. Russell Sage Foundation. https://doi.org/10.7758/9781610448864
  • Coşkun, A., Özer, B., & Duran, A. A. (2024). Examining the effect of the social media on value gain. Anatolian Turkish Journal of Education, 6(3), 334-350.
  • *Cui, J., Wang, Y., Liu, D., & Yang, H. (2023). Depression and stress are associated with latent profiles of problematic social media use among college students. Frontiers in Psychiatry, 14. https://doi.org/10.3389/fpsyt.2023.1306152
  • *Cunningham, S., Hudson, C. C., & Harkness, K. (2021). Social media and depression symptoms: A meta-analysis. Research on Child and Adolescent Psychopathology, 49(2), 241-253. https://doi.org/10.1007/s10802-020-00715-7
  • DerSimonian, R., & Laird, N. (1986). Meta-analysis in clinical trials. Controlled Clinical Trials, 7(3), 177-188. https://doi.org/10.1016/0197-2456(86)90046-2
  • *Duc, T. M. (2026). Excessive social media use and its impact on psychological well-being and academic performance of Vietnamese university students. International Journal of Adolescence and Youth, 31(1), Article 2608766. https://doi.org/10.1080/02673843.2025.2608766
  • Duval, S., & Tweedie, R. (2000). Trim and fill: A simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis. Biometrics, 56(2), 455-463. https://doi.org/10.1111/j.0006-341X.2000.00455.x
  • Egger, M., Davey Smith, G., Schneider, M., & Minder, C. (1997). Bias in meta-analysis detected by a simple, graphical test. British Medical Journal, 315(7109), 629-634. https://doi.org/10.1136/bmj.315.7109.629
  • *Feng, T., Wang, B., Mi, M., Ren, L., Wu, L., Wang, H., Liu, X., & Wang, X. (2025). The relationships between mental health and social media addiction, and between academic burnout and social media addiction among Chinese college students: A network analysis. Heliyon, 11(3), Article e41869. https://doi.org/10.1016/j.heliyon.2025.e41869
  • Fisher, R. A. (1921). On the “probable error” of a coefficient of correlation deduced from a small sample. Metron, 1, 3-32.
  • *Foroughi, B., Griffiths, M. D., Iranmanesh, M., & Salamzadeh, Y. (2022). Associations between instagram addiction, academic performance, social anxiety, depression, and life satisfaction among university students. International Journal of Mental Health and Addiction, 20(4), 2221-2242. https://doi.org/10.1007/s11469-021-00510-5
  • *Gong, R., Zhang, Y., Long, R., Zhu, R., Li, S., Liu, X., Wang, S., & Cai, Y. (2021). The impact of social network site addiction on depression in Chinese medical students: A serial multiple mediator model involving loneliness and unmet interpersonal needs. International Journal of Environmental Research and Public Health, 18(16), Article 8614. https://doi.org/10.3390/ijerph18168614
  • 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
  • *Hawi, N. S., & Samaha, M. (2017). The relations among social media addiction, self-esteem, and life satisfaction in university students. Social Science Computer Review, 35(5), 576-586. https://doi.org/10.1177/0894439316660340
  • Hedges, L. V., & Olkin, I. (1985). Statistical methods for meta-analysis. Academic Press.
  • Higgins, J. P. T., Thompson, S. G., Deeks, J. J., & Altman, D. G. (2003). Measuring inconsistency in meta-analyses. British Medical Journal, 327(7414), 557-560. https://doi.org/10.1136/bmj.327.7414.557
  • *Huang, C. (2022). A meta-analysis of the problematic social media use and mental health. International Journal of Social Psychiatry, 68(1), 12-33. https://doi.org/10.1177/0020764020978434
  • Huang, Y., Xu, L., Mei, Y., Wei, Z., Wen, H., & Liu, D. (2020). Problematic Internet use and the risk of suicide ideation in Chinese adolescents: A cross-sectional analysis. Psychiatry Research, 290, Article 112963. https://doi.org/10.1016/j.psychres.2020.112963
  • *Jameel, A., Guo, W., Hussain, A., Kanwel, S., & Sahito, N. (2025). Exploring the mediating role of insomnia on the nexus between social media addiction and mental health among university students. Scientific Reports, 15(1), Article 17872. https://doi.org/10.1038/s41598-025-03163-9
  • *Jasso-Medrano, J. L., & López-Rosales, F. (2018). Measuring the relationship between social media use and addictive behavior and depression and suicide ideation among university students. Computers in Human Behavior, 87, 183-191. https://doi.org/10.1016/j.chb.2018.05.003
  • Jiang, C., Chai, D. & Wang, Z.. (2026). Competitive school climate, academic anxiety, school alienation and problematic Internet use among students from grade 1 to 12: Evidence from 9 countries. Child Indicators Research, 19, 141-158. https://doi.org/10.1007/s12187-025-10298-8
  • *Jing, Z., Yang, W., Lei, Z., Junmei, W., Hui, L., & Tianmin, Z. (2025). Correlations between social media addiction and anxiety, depression, FoMO, loneliness and self-esteem among students: A systematic review and meta-analysis. PLoS ONE, 20(9), Article e0329466. https://doi.org/10.1371/journal.pone.0329466
  • *Karimi, F., & Jiang, N. (2019). A reference-based source extraction algorithm to extract movement related cortical potentials for Brain-computer interface applications. In Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics (pp. 3603-3607). IEEE. https://doi.org/10.1109/SMC.2019.8914606
  • *Kasmani, M. F. (2021). Twitter usage and the impact on young people’s wellbeing. In Breaking the barriers, inspiring tomorrow (pp. 263-270). European Proceedings. https://doi.org/10.15405/epsbs.2021.06.02.35
  • *Kim, J., Jung, S., & Choi, H. (2023). Antecedents influencing SNS addiction and exhaustion (fatigue syndrome): Focusing on six countries. Behaviour & Information Technology, 42(15), 2601-2625. https://doi.org/10.1080/0144929X.2022.2136531
  • 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
  • Kwan, I., Dickson, K., Richardson, M., MacDowall, W., Burchett, H., Stansfield, C., Brunton, G., Sutcliffe, K., & Thomas, J. (2020). Cyberbullying and children and young people’s mental health: A systematic map of systematic reviews. Cyberpsychology, Behavior, and Social Networking, 23(2), 72-82. https://doi.org/10.1089/cyber.2019.0370
  • Landis, J. R., & Koch, G. G. (1977). The measurement of observer agreement for categorical data. Biometrics, 33(1), 159-174. https://doi.org/10.2307/2529310
  • *Lin, C.-Y., Broström, A., Nilsen, P., Griffiths, M. D., & Pakpour, A. H. (2017). Psychometric validation of the Persian Bergen social media addiction scale using classic test theory and Rasch models. Journal of Behavioral Addictions, 6(4), 620-629. https://doi.org/10.1556/2006.6.2017.071
  • Lipsey, M. W., & Wilson, D. B. (2001). Practical meta-analysis. SAGE.
  • *Liu, C. (2023). The unique role of smartphone addiction and related factors among university students: A model based on cross-sectional and cross-lagged network analyses. BMC Psychiatry, 23(1), Article 883. https://doi.org/10.1186/s12888-023-05384-6
  • *Lozano-Blasco, R., Latorre Cosculluela, C., & Quílez Robres, A. (2020). Social network addiction and its impact on anxiety level among university students. Sustainability, 12(13), 5397. https://doi.org/10.3390/su12135397
  • *Lozano-Blasco, R., Robres, A. Q., & Sánchez, A. S. (2022). Internet addiction in young adults: A meta-analysis and systematic review. Computers in Human Behavior, 130, Article 107201. https://doi.org/10.1016/j.chb.2022.107201
  • *Madhusudanan, V., Guerrini, L., Murthy, B. S. N., Dao, N.-N., & Cho, S. (2025). Exploring the dynamics of social media addiction and depression models with discrete and distributed delays. IEEE Access, 13, 55682-55700. https://doi.org/10.1109/ACCESS.2025.3555306
  • *Marttila, E., Koivula, A., & Räsänen, P. (2021). Does excessive social media use decrease subjective well-being? A longitudinal analysis of the relationship between problematic use, loneliness and life satisfaction. Telematics and Informatics, 59, Article 101556. https://doi.org/10.1016/j.tele.2020.101556
  • *Mitropoulou, E. M., Karagianni, M., & Thomadakis, C. (2022). Social media addiction, self-compassion, and psychological well-being: A structural equation model. Alpha Psychiatry, 23(6), Article 298. https://doi.org/10.5152/alphapsychiatry.2022.22957
  • *Monacis, L., De Palo, V., Griffiths, M. D., & Sinatra, M. (2017). Social networking addiction, attachment style, and validation of the Italian version of the Bergen social media addiction scale. Journal of Behavioral Addictions, 6(2), 178-186. https://doi.org/10.1556/2006.6.2017.023
  • Nannim, F. A., Njoku, Z. C., Onuoha, J. C., Orji, E. I., & Njoku, O. C. (2023). Undergraduate students’ use of social media in school: A need for regulatory policies in Nigerian universities. Pedagogical Research, 8(1), Article em0140. https://doi.org/10.29333/pr/12566
  • *Nazari, A., Hosseinnia, M., Torkian, S., & Garmaroudi, G. (2023). Social media and mental health in students: A cross-sectional study during the COVID-19 pandemic. BMC Psychiatry, 23(1), Article 458. https://doi.org/10.1186/s12888-023-04859-w
  • *Nikolinakou, A., Phua, J., & Kwon, E. S. (2024). What drives addiction on social media sites? The relationships between psychological well-being states, social media addiction, brand addiction and impulse buying on social media. Computers in Human Behavior, 153, Article 108086. https://doi.org/10.1016/j.chb.2023.108086
  • *Ostic, D., Qalati, S. A., Barbosa, B., Shah, S. M. M., Galvan Vela, E., Herzallah, A. M., & Liu, F. (2021). Effects of social media use on psychological well-being: A mediated model. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.678766
  • Öztürk, C., & Ay, Y. (2015). The effect of leadership on organizational citizenship. In E. Karadağ (Ed.), Leadership and organizational outcomes: Meta-analysis of empirical studies (pp. 97-109). Springer. https://doi.org/10.1007/978-3-319-14908-0_6
  • *Patel, G. S. (2021). Social media addiction and mental health of college students. Towards Excellence, 13(4), 592-599. https://doi.org/10.37867/TE310456
  • *Pellegrino, A., Stasi, A., & Bhatiasevi, V. (2022). Research trends in social media addiction and problematic social media use: A bibliometric analysis. Frontiers in Psychiatry, 13. https://doi.org/10.3389/fpsyt.2022.1017506
  • *Peng, P., & Liao, Y. (2023). Six addiction components of problematic social media use in relation to depression, anxiety, and stress symptoms: A latent profile analysis and network analysis. BMC Psychiatry, 23(1), Article 321. https://doi.org/10.1186/s12888-023-04837-2
  • *Pirdehghan, A., Khezmeh, E., & Panahi, S. (2021). Social media use and sleep disturbance among adolescents: A cross-sectional study. Iranian Journal of Psychiatry. https://doi.org/10.18502/ijps.v16i2.5814
  • *Ramdani, F. Z., Lahlou, L., Merzouki, M., Doufik, J., El Oumary, O., Akebour, K., Hamri, S., Mouhadi, K., Boujraf, S., Rahioui, H., & Rammouz, I. (2024). Internet addiction, social phobia, substance abuse, and depression in the university setting: A cross-sectional study in the southern region of Morocco. Frontiers in Psychology, 15. https://doi.org/10.3389/fpsyg.2024.1398989
  • Rosenthal, R. (1979). The file drawer problem and tolerance for null results. Psychological Bulletin, 86(3), 638-641. https://doi.org/10.1037/0033-2909.86.3.638
  • Saiphoo, A. N., Halevi, L. D., & Vahedi, Z. (2020). Social networking site use and self-esteem: A meta-analytic review. Personality and Individual Differences, 153, Article 109639. https://doi.org/10.1016/j.paid.2019.109639
  • *Shannon, H., Bush, K., Shvetz, C., Paquin, V., Morency, J., Hellemans, K., & Guimond, S. (2024). Longitudinal problematic social media use in students and its association with negative mental health outcomes. Psychology Research and Behavior Management, 17, 1551-1560. https://doi.org/10.2147/PRBM.S450217
  • *Shannon, H., Bush, K., Villeneuve, P. J., Hellemans, K. G., & 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
  • *Shanshal, S. A., Al-Qazaz, H. Kh., Saadallah, D. A., Mohammed, S. Y., Saber, Q. A. Y., Ali, M. M., & Mahmmod, W. N. (2024). Social media addiction and depression and their predictors among university students. International Journal of Adolescent Medicine and Health, 36(2), 123-132. https://doi.org/10.1515/ijamh-2022-0111
  • Shashayeva, G. K., Igenovna, A. A., Tassilova, N. A., Beisenova, S. B., Nogayeva, A. K., Song, Y., & Kosshygulova, A. S. (2026). The role of social media use motivations in university students’ adoption of AI-supported learning tools: The mediating effect of perceived usefulness. Online Journal of Communication and Media Technologies, 16(2), Article e202633. https://doi.org/10.30935/ojcmt/18592
  • Simsek, A., Elciyar, K., & Kizilhan, T. (2019). A comparative study on social media addiction of high school and university students. Contemporary Educational Technology, 10(2), 106-119. https://doi.org/10.30935/cet.554452
  • Statista. (2024). Number of social media users worldwide from 2017 to 2030. Statista. https://www.statista.com/statistics/278414/number-of-worldwide-social-network-users/
  • *Stănculescu, E. (2023). The Bergen social media addiction scale validity in a Romanian sample using item response theory and network analysis. International Journal of Mental Health and Addiction, 21(4), 2475-2492. https://doi.org/10.1007/s11469-021-00732-7
  • *Sujarwoto, Saputri, R. A. M., & Yumarni, T. (2023). Social media addiction and mental health among university students during the COVID-19 pandemic in Indonesia. International Journal of Mental Health and Addiction, 21(1), 96-110. https://doi.org/10.1007/s11469-021-00582-3
  • *Sümen, A., & Evgin, D. (2021). Social media addiction in high school students: A cross-sectional study examining its relationship with sleep quality and psychological problems. Child Indicators Research, 14(6), 2265-2283. https://doi.org/10.1007/s12187-021-09838-9
  • *Swar, B., & Hameed, T. (2017). Fear of missing out, social media engagement, smartphone addiction and distraction: Moderating role of self-help mobile apps-based interventions in the youth. In Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (pp. 139-146). https://doi.org/10.5220/0006166501390146
  • Taoufiq, Y., Naciri, A., Laghizi, J., Warghad, A., & Jebbour, M. (2026). Social media use and academic performance among nursing students in Morocco: A cross-sectional study. Pedagogical Research, 11(1), Article em0258. https://doi.org/10.29333/pr/18124
  • *Thomas, J., Verlinden, M., Al Beyahi, F., Al Bassam, B., & Aljedawi, Y. (2022). Socio-demographic and attitudinal correlates of problematic social media use: Analysis of Ithra’s 30-nation digital wellbeing survey. Frontiers in Psychiatry, 13. https://doi.org/10.3389/fpsyt.2022.850297
  • *Thygesen, H., Bonsaksen, T., Schoultz, M., Ruffolo, M., Leung, J., Price, D., & Geirdal, A. Ø. (2022). Social media use and its associations with mental health 9 months after the COVID-19 outbreak: A cross-national study. Frontiers in Public Health, 9. https://doi.org/10.3389/fpubh.2021.752004
  • *Torun, G., Akgenç, F., & Can Öz, Y. (2026). The mediating effect of cyber victimization and cyberbullying on the relationship between social media addiction and emotional and psychological well-being in adolescents. BMC Psychology, 14, Article 355. https://doi.org/10.1186/s40359-026-04148-7
  • Tran, H. T. T., Nguyen, N. T., & Tang, T. T. (2023). Influences of subjective norms on teachers’ intention to use social media in working. Contemporary Educational Technology, 15(1), Article ep400. https://doi.org/10.30935/cedtech/12659
  • Twenge, J. M., & Campbell, W. K. (2019). Media use is linked to lower psychological well-being: Evidence from three datasets. Psychiatric Quarterly, 90(2), 311-331. https://doi.org/10.1007/s11126-019-09630-7
  • *Valkenburg, P. M., Meier, A., & Beyens, I. (2022). Social media use and its impact on adolescent mental health: An umbrella review of the evidence. Current Opinion in Psychology, 44, 58-68. https://doi.org/10.1016/j.copsyc.2021.08.017
  • *Varela, J. J., Pérez, J. C., Rodríguez-Rivas, M. E., Chuecas, M. J., & Romo, J. (2023). Wellbeing, social media addiction and coping strategies among Chilean adolescents during the pandemic. Frontiers in Psychiatry, 14. https://doi.org/10.3389/fpsyt.2023.1211431
  • *Wang, T. J., Kang, C. L., Tsai, J. L., Song, W. T., & Lien, A. S. Y. (2021). Social media (Facebook) improper use and the influence of sleeping quality in Taiwan’s university students. Science Progress, 104(2), https://doi.org/10.1177/00368504211011878
  • *Wang, Y., Sun, Y., & Li, T. (2025). The longitudinal relationship between loneliness and problematic social networking site use in college students: The mediating role of trait- and state-fear of missing out. Frontiers in Psychology, 16. https://doi.org/10.3389/fpsyg.2025.1477239
  • *Wong, H. Y., Mo, H. Y., Potenza, M. N., Chan, M. N. M., Lau, W. M., Chui, T. K., Pakpour, A. H., & Lin, C.-Y. (2020). Relationships between severity of Internet gaming disorder, severity of problematic social media use, sleep quality and psychological distress. International Journal of Environmental Research and Public Health, 17(6), Article 1879. https://doi.org/10.3390/ijerph17061879
  • *Ye, X.-L., Zhang, W., & Zhao, F.-F. (2023). Depression and Internet addiction among adolescents: A meta-analysis. Psychiatry Research, 326, Article 115311. https://doi.org/10.1016/j.psychres.2023.115311
  • *Yücens, B., & Üzer, A. (2018). The relationship between Internet addiction, social anxiety, impulsivity, self-esteem, and depression in a sample of Turkish undergraduate medical students. Psychiatry Research, 267, 313-318. https://doi.org/10.1016/j.psychres.2018.06.033
  • *Zacharias, B. S., Upendra, S., Kamble, M., & Sharma, S. R. (2026). Connecting virtually, living authentically: Understanding social media addiction’s influence on a sample of college students’ psychological well-being. American Journal of Health Education, 57(2), 86-92. https://doi.org/10.1080/19325037.2025.2572107
  • *Zhang, K., Li, P., Zhao, Y., Griffiths, M. D., Wang, J., & Zhang, M. X. (2023). Effect of social media addiction on executive functioning among young adults: The mediating roles of emotional disturbance and sleep quality. Psychology Research and Behavior Management, 16, 1911-1920. https://doi.org/10.2147/PRBM.S414625
  • *Zhu, X., Zheng, T., Ding, L., Zhang, X., Li, Z., & Jiang, H. (2023). Exploring associations between social media addiction, social media fatigue, fear of missing out and sleep quality among university students: A cross-section study. PLoS ONE, 18(10), Article e0292429. https://doi.org/10.1371/journal.pone.0292429
  • *Žmavc, M., Šorgo, A., Gabrovec, B., Crnkovič, N., Cesar, K., & Selak, Š. (2022). The protective role of resilience in the development of social media addiction in tertiary students and psychometric properties of the Slovenian Bergen social media addiction scale (BSMAS). International Journal of Environmental Research and Public Health, 19(20), Article 13178. https://doi.org/10.3390/ijerph192013178