The Effect of Social Media Addiction on Depression Level in University Students
Abstract views: 14 / PDF downloads: 13
DOI:
https://doi.org/10.5281/zenodo.14236089Keywords:
Depression, Social media, Internet, Student, AddictionAbstract
Objective: This study was conducted to determine the effect of social media addiction on the level of depression in university students
Method: A cross-sectional design was used to this study. The research was conducted between February and August 2020 with 824 university students. Data were collected by an information form, the Social Media Addiction Scale - Student Form and Beck Depression Scale in the study.
Results: It was determined that the students got 87.2±21.98 points from Social Media Addiction Scale and their addiction level was moderate, and they got 17.5±8.87 points from Beck Depression Scale and they were moderately depressed. It was determined that social media addiction is an important variable predicting the level of depression (R2: 35.5, p<0.001).
Conclusion: It has been determined that as students' social media addictions increase, their depression levels increase.
References
AlBarashdi, H. S. (2020). Social Networking (SNS) Addiction among University Students: A Literature Review and Research Directions. Journal of Education, Society and Behavioural Science, 33(1), 11-23. https://doi.org/10.9734/jesbs/2020/v33i130191
American Psychiatric Association, D. S., & American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders: DSM-5.
Balcı, Ş., & Baloğlu, E. (2018). Sosyal Medya Bağımlılığı ile Depresyon Arasındaki İlişki:" Üniversite Gençliği Üzerine Bir Saha Araştırması" [The Relationship between Social Media Addiction and Depression: “A Survey among University Youth”]. Galatasaray Üniversitesi İletişim Dergisi, 29, 209-233.
Beck, A.T., Ward, C.H., Mendelson, M., Mock, J., Erbaugh, J. (1961). An inventory for measuring depression. Arch Gen Psychiatry 4, 561–71. https://doi.org/10.1001/archpsyc.1961.01710120031004
Digital in 2021, https://recrodigital.com/dijital-2021-raporunda-turkiye-ve-dunyada-internet-ve-sosyal-medya-kullanimi-karsilastirmasi-ocak-2021/ [accessed 1 January 2022].
Dikmen, M. (2021). COVID-19 Pandemisinde Üniversite Öğrencilerinin Depresyon Düzeylerinin Sosyal Medya Bağımlılığı Üzerindeki Rolünün İncelenmesi: Bir Yapısal Eşitlik Modeli [Relationship Between University Students' Depression Levels and Social Media Addiction in the COVID-19 Outbreak: A Structural Equation Model], Journal of Dependence, 22(1): 20-30. https://doi.org/10.51982/bagimli.790750
Fu, J., Xu, P., Zhao, L., Yu, G. (2017). Impaired Orienting in Youth with Internet Addiction: Evidence from the Attention Network Task (ANT). Psychiatry Research, 264, 54-57. https://doi.org/10.1016/j.psychres.2017.11.071
Glazzard, J., & Stones, S. (2019). Social media and young people’s mental health. In Selected Topics in Child and Adolescent Mental Health. IntechOpen, 7-20. https://doi.org/org/http://dx.doi.10.5772/intechopen.88569substance
Griffiths, M. (2000). Internet addiction-time to be taken seriously?. Addiction research, 8(5), 413-418. https://doi.org/10.3109/16066350009005587
Griffiths, M. (2005). A ‘components’ model of addiction within a biopsychosocial framework. Journal of Substance use, 10(4), 191-197. https://doi.org/10.1080/14659890500114359
Haand, R., & Shuwang, Z. (2020). The relationship between social media addiction and depression: a quantitative study among university students in Khost, Afghanistan. International Journal of Adolescence and Youth, 25(1), 780-786. https://doi.org/10.1080/02673843.2020.1741407
Hou, Y., Xiong, D., Jiang, T., Song, L., & Wang, Q. (2019). Social media addiction: Its impact, mediation, and intervention. Cyberpsychology, 13(1). https://doi.org/10.5817/CP2019-1-4
Hisli N. (1989). Beck Depresyon Envanteri’nin Üniversite Öğrencileri için Geçerliği, Güvenirliği. Psikoloji Dergisi. 6(23), 3-13.
Karadağ, E., Tosuntaş, Ş. B., Erzen, E., Duru, P., Bostan, N., Şahin, B. M., Çulha, I., & Babadağ, B. (2015). Determinants of phubbing, which is the sum of many virtual addictions: A structural equation model. Journal of Behavioral Addictions, 4(2), 60–74. https://doi.org/10.1556/2006.4.2015.005
Kircaburun, K. (2016). Self-Esteem, Daily Internet Use and Social Media Addiction as Predictors of Depression among Turkish Adolescents. Journal of Education and Practice, 7(24), 64-72.
Kircaburun, K., & Griffiths, M. D. (2018). Instagram addiction and the Big Five of personality: The mediating role of self-liking, Journal of Behavioral Addictions, 7(1), 158-170. https://doi.org/10.1556/2006.7.2018.15
Küçükvardar, M., & Tıngöy, Ö. (2018). Teknoloji bağımlılığının semptomlar temelinde incelenmesi. İletişim ve Bilişim Teknolojileri, 9(35), 111-123. https://doi.org/10.5824/1309-1581.2018.5.008.x
Lai, C. M., Mak, K. K., Watanabe, H., Jeong, J., Kim, D., Bahar, N., ... & Cheng, C. (2015). The mediating role of Internet addiction in depression, social anxiety, and psychosocial well-being among adolescents in six Asian countries: a structural equation modelling approach. Public health, 129(9), 1224-1236. https://doi.org/10.1016/j.puhe.2015.07.031
Lin, L. Y., Sidani, J. E., Shensa, A., Radovic, A., Miller, E., Colditz, J. B., Hoffman, B. L., Giles, L. M., & Primack, B. A. (2016). Association between social media use and depression among U.S. young adults. Depression and anxiety, 33(4), 323–331. https://doi.org/10.1002/da.22466
Maalouf, F. T., Atwi, M., & Brent, D. A. (2011). Treatment-resistant depression in adolescents: review and updates on clinical management. Depression and anxiety, 28(11), 946–954. https://doi.org/10.1002/da.20884.
Pantic, I., Damjanovic, A., Todorovic, J., Topalovic, D., Bojovic-Jovic, D., Ristic, S., & Pantic, S. (2012). Association between online social networking and depression in high school students: behavioral physiology viewpoint. Psychiatria Danubina, 24(1), 90-93.
Stankovska, G., Angelkovska, S. and Grncarovska, S. P. (2016). Social Networks Use, Loneliness and Academic Performance among University Students. Education Provision to Every One: Comparing Perspectives from Around the World BCES Conference Books, 14 (1), 255-261 https://files.eric.ed.gov/fulltext/ED568119.pdf [accessed 1 December 2021].
Şahin, C. (2018). Social media addiction scale - student form: The reliability and validity study. The Turkish Online Journal of Educational Technology,17(1), 169-182.
Şeker, V. T. (2018). Sosyal medya bağımlılığı ile depresyon ve anksiyete arasındaki ilişki [The relationship between social media dependence anddepression and anxiety]. Master's thesis, Social Sciences Institute. Istanbul.
Truschel J. (2013). Depression Definition and DSM-5 Diagnostic Criteria. https://www.psycom.net/depression-definition-dsm-5-diagnostic-criteria/ [accessed 1 December 2021].
Tsai, C. C., & Lin, S. S. (2003). Internet addiction of adolescents in Taiwan: An interview study. CyberPsychology & Behavior, 6(6), 649-652. https://doi.org/10.1089/109493103322725432
Turkish Statistical Institute. (2021). https://data.tuik.gov.tr/Kategori/GetKategori?p=Bilim,-Teknoloji-ve-Bilgi-Toplumu-102 [accessed 1 January 2022].
Wang, P., Wang, X., Wu, Y., Xie, X., Wang, X., Zhao, F., Ouyang, M., & Lei, L. (2018). Social networking sites addiction and adolescent depression: A moderated mediation model of rumination and self-esteem. Personality and Individual Differences, 127, 162-167. https://doi.org/10.1016/j.paid.2018.02.008
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 GEVHER NESIBE JOURNAL OF MEDICAL AND HEALTH SCIENCES
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.