Social media addiction, anxiety and depression: a comparative generational study on their interrelationship
DOI:
https://doi.org/10.65598/rps.5979Keywords:
Social media addiction, Anxiety, Depression, Generational differences, Mental healthAbstract
Introduction: Social media addiction has been linked to mental health issues such as anxiety and depression in adolescents and young adults. This study aims to analyze the relationship between compulsive social media use, anxiety and depression, and age group, in order to identify statistically significant age-based profiles of vulnerability. Methodology: A cross-sectional observational study was conducted on a sample distributed across four generations (Generation Z, Y, X, and Baby Boomers). Validated self-report instruments were used to assess compulsive social media use, anxiety and depression. Data analysis included descriptive statistics and association tests (including Pearson's chi-square) to examine generational differences. Results: Significant differences were observed between generations. Generations Z and Y exhibited higher levels of social media addiction, anxiety, and depression. In contrast, generation X and Baby Boomers had lower levels. Discussion: The greater vulnerability of younger generations can be explained by a combination of technological and contextual factors, as well as greater digital exposure. The lower impact on older generations suggests the influence of protective factors accumulated throughout life. Conclusions: This study confirms the existence of significant generational differences in the relationship between social media addiction, anxiety and depression. This highlights the need for preventive, clinical and research approaches that recognize these differences.
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References
American Psychiatric Association (2013). Diagnostic and statistical manual of mental disorders. American Psychiatric Publishing.
American Psychiatric Association (2022). Diagnostic and statistical manual of mental disorders. American Psychiatric Publishing.
Andreassen, C. S. y Pallesen, S. (2014). Social network site addiction - an overview. Current pharmaceutical design, 20(25), 4053–4061. https://doi.org/10.2174/13816128113199990616
Andreassen, C. S. (2015). Online social network site addiction: A comprehensive review. Current Addiction Reports, 2(2), 175–184. https://doi.org/10.1007/s40429-015-0056-9
Bandelow, B. y Michaelis, S. (2015). Epidemiology of anxiety disorders in the 21st century. Dialogues in clinical neuroscience, 17(3), 327–335. https://doi.org/10.31887/DCNS.2015.17.3/bbandelow
Barry, C.T., Sidoti, C.L., Briggs, S.M., Reiter, S.R. y Lindsey, R.A. (2017). Adolescent social media use and mental health from adolescent and parent perspectives. Journal of Adolescence, 61, 1–11. https://doi.org/10.1016/j.adolescencia.2017.08.005
Blomfield, C.J. y Barber, B.L. (2014). Social networking site use: Linked to adolescents' social self-concept, self-esteem, and depressed mood. Australian Journal of Psychology, 66, 56–64. https://doi.org/10.1111/ajpy.12034
Huang, C. (2022). A meta-analysis of the problematic social media use and mental health. Computers in Human Behavior, 129, 107148. https://doi.org/10.1016/j.chb.2021.107148
Kroenke, K., Spitzer, R. L. y Williams, J. B. (2001). The PHQ‐9: validity of a brief depression severity measure. Journal of general internal medicine, 16(9), 606-613. https://doi.org/10.1046/j.1525-1497.2001.016009606.x
Kuss, D. J. y Griffiths, M. D. (2017). Social networking sites and addiction: Ten lessons learned. International Journal of Environmental Research and Public Health, 14(3), 311. https://doi.org/10.3390/ijerph14030311
Lin, L. Y., Sidani, J. E., Shensa, A., Radovic, A., Miller, E., Colditz, J. B., Hoffman, B. L., Giles, L. M. y 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
Ma, C. M. (2018). A latent profile analysis of internet use and its association with psychological well-being outcomes among Hong Kong Chinese early adolescents. Applied Research in Quality of Life, 13(3), 727-743. https://doi.org/10.1007/s11482-017-9555-2
Meerkerk, G. J., Van Den Eijnden, R. J., Vermulst, A. A. y Garretsen, H. F. (2009). The compulsive internet use scale (CIUS): some psychometric properties. Cyberpsychology y behavior, 12(1), 1-6. https://doi.org/10.1089/cpb.2008.0181
Organización Mundial de la Salud (2023). Trastornos mentales. https://www.who.int
Spitzer, R. L., Kroenke, K., Williams, J. B. y Löwe, B. (2006). A brief measure for assessing generalized anxiety disorder: the GAD-7. Archives of internal medicine, 166(10), 1092-1097. https://doi.org/10.1001/archinte.166.10.1092
Twenge, J. M., Joiner, T. E., Rogers, M. L. y Martin, G. N. (2017). Increases in Depressive Symptoms, Suicide-Related Outcomes, and Suicide Rates Among U.S. Adolescents After 2010 and Links to Increased New Media Screen Time. Clinical Psychological Science, 6(1), 3-17. https://doi.org/10.1177/2167702617723376
Twenge, J. M. (2023). Generations: the real differences between Gen Z, Millennials, Gen X, Boomers, and Silents—and what they mean for America's future. Simon and Schuster.
Vannucci, A., Flannery, K. M. y Ohannessian, C. M. (2017). Social media use and anxiety in emerging adults. Journal of affective disorders, 207, 163–166. https://doi.org/10.1016/j.jad.2016.08.040
Wang, P., Wang, X., Wu, Y., Xie, X., Wang, X., Zhao, F., Ouyang, M. y 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
Woods, H.C. y Scott, H. (2016). Sleepyteens: Social media use in adolescence is associated with poor sleep quality, anxiety, depression and low self-esteem. Journal of Adolescence, 51, 41–49. https://doi.org/10.1016/j.adolescencia.2016.05.008
Zhou, Q. (2023). Using chi‑square categorical testing to analyse the survey data and find people’s attitude towards inequalities. Journal of Education, Humanities and Social Sciences, 24, 330–339. https://doi.org/10.54097/5rjf5w02
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