Impact of Social Media Usage on Adolescent Well-Being in China

Authors

  • Wang Liu Shanghai Jiao Tong University

DOI:

https://doi.org/10.47672/ajp.1943

Keywords:

Social Media, Adolescent, Well-Being

Abstract

Purpose: The aim of the study was to assess the impact of social media usage on adolescent well-being in China.

Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.

Findings: The study suggests a complex relationship with both positive and negative effects. On one hand, social media can enhance social connections, provide platforms for self-expression, and facilitate information-sharing. However, excessive use and exposure to unrealistic standards can lead to feelings of inadequacy, anxiety, and depression among adolescents. Cyberbullying, sleep disturbances, and reduced physical activity are also associated with heavy social media usage. Furthermore, the constant need for validation through likes and comments can negatively impact self-esteem and self-worth. It's essential for parents, educators, and policymakers to promote healthy social media habits and provide support systems to mitigate potential adverse effects on adolescent well-being.

Implications to Theory, Practice and Policy: Social comparison theory, self-determination theory and cognitive dissonance may be used to anchor future studies on assessing the impact of social media usage on adolescent well-being in China. Design evidence-based interventions aimed at promoting positive social media experiences and mitigating negative outcomes among adolescents. Advocate for the development and implementation of policies and guidelines that promote responsible social media use and protect adolescent users from harmful content and online threats.

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References

Al-Hadithi, T. S., Mahmood, A. S., & Al-Diwan, J. K. (2015). The mental health consequences of the Iraqi conflict and its refugee toll on Syria. Journal of Psychiatry, 18(5), 1-8. https://doi.org/10.4172/Psychiatry.1000232

American Psychological Association. (2016). Stress in America: The impact of discrimination. https://www.apa.org/news/press/releases/stress/2015/impact-of-discrimination.pdf

Arai, H., Ouchi, Y., Yokode, M., & Ito, H. (2014). Toward the realization of a better aged society: messages from gerontology and geriatrics. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences, 69(Suppl_1), S4-S9. https://doi.org/10.1093/gerona/glu073

Benjet, C., Borges, G., Medina-Mora, M. E., Zambrano, J., Cruz, C., & Mndez, E. (2015). Descriptive epidemiology of chronic childhood adversity in Mexican adolescents. Journal of Adolescent Health, 56(6), 635-640. https://doi.org/10.1016/j.jadohealth.2015.01.018

El Chammay, R., Alameddine, A., Naal, H., & Khoury, S. (2019). Mental health in Lebanon. Intervention, 17(1), 3-12. https://doi.org/10.4103/INTV.INTV_45_19

Fardouly, J., Diedrichs, P. C., Vartanian, L. R., & Halliwell, E. (2015). Social comparisons on social media: The impact of Facebook on young women's body image concerns and mood. Body Image, 13, 38-45. https://doi.org/10.1016/j.bodyim.2014.12.002

Fardouly, J., Diedrichs, P. C., Vartanian, L. R., & Halliwell, E. (2015). Social comparisons on social media: The impact of Facebook on young women's body image concerns and mood. Body image, 13, 38-45.

Hampton, K. N., Rainie, L., Lu, W., Shin, I., & Purcell, K. (2016). Social media and the cost of caring. Pew Research Center.

Hollenbaugh, E. E., & Ferris, A. L. (2018). Facebook self-disclosure: Examining the role of traits, social cohesion, and motives. Computers in Human Behavior, 88, 430-439.

Hunt, M. G., Marx, R., Lipson, C., & Young, J. (2018). No more FOMO: Limiting social media decreases loneliness and depression. Journal of Social and Clinical Psychology, 37(10), 751-768. https://doi.org/10.1521/jscp.2018.37.10.751

Kohrt, B. A., Asher, L., Bhardwaj, A., Fazel, M., Jordans, M. J., & Mutamba, B. B. (2018). The role of communities in mental health care in low-and middle-income countries: A meta-review of components and competencies. International Journal of Environmental Research and Public Health, 15(6), 1279. https://doi.org/10.3390/ijerph15061279

Kross, E., Verduyn, P., Demiralp, E., Park, J., Lee, D. S., Lin, N., ... & Ybarra, O. (2013). Facebook use predicts declines in subjective well-being in young adults. PloS one, 8(8), e69841.

Lund, C., De Silva, M., Plagerson, S., Cooper, S., Chisholm, D., Das, J., ... & Patel, V. (2010). Poverty and mental disorders: Breaking the cycle in low-income and middle-income countries. The Lancet, 376(9756), 983-994. https://doi.org/10.1016/S0140-6736(10)60785-2

Mack, J., Blanchet, K., & Strauss, R. (2016). Mental health in post-conflict and development contexts: Building policy and research agendas. Intervention, 14(2), 162-174. https://doi.org/10.1097/WTF.0000000000000098

Maulana, R., El-Mafaalani, A., Knafo-Noam, A., & Laudy, O. (2018). Mental health in Indonesia. In J. S. A. Kohlberg & R. J. Sternberg (Eds.), The Cambridge Handbook of Sociocultural Psychology (pp. 607-631). Cambridge University Press. https://doi.org/10.1017/9781316219216.025

OECD. (2020). Health at a glance 2019: OECD indicators. OECD Publishing. https://doi.org/10.1787/4dd50c09-en

Office for National Statistics. (2018). Measuring national well-being: Understanding inequalities in well-being 2018. https://www.ons.gov.uk/peoplepopulationandcommunity/wellbeing/articles/measuringnationalwellbeing/understandinginequalitiesinwellbeing2018

Padilla, J. L., Kristine, R. S., Leonardo, D. E., & Carlo, P. (2017). Mental health in the Philippines. International Journal of Mental Health, 46(2), 126-147. https://doi.org/10.1080/00207411.2017.1310788

Patel, V., Burns, J. K., Dhingra, M., Tarver, L., Bakolis, I., & Devakumar, D. (2015). Income inequality and depression: a systematic review and meta-analysis of the association and a scoping review of mechanisms. World Psychiatry, 14(2), 137-149. https://doi.org/10.1002/wps.20220

Patel, V., Saxena, S., Lund, C., Thornicroft, G., Baingana, F., Bolton, P., ... & Jacob, K. S. (2018). The Lancet Commission on global mental health and sustainable development. The Lancet, 392(10157), 1553-1598. https://doi.org/10.1016/S0140-6736(18)31612-X

Primack, B. A., Shensa, A., Sidani, J. E., Whaite, E. O., Lin, L. Y., Rosen, D., Colditz, J. B., Radovic, A., & Miller, E. (2017). Social media use and perceived social isolation among young adults in the U.S. American Journal of Preventive Medicine, 53(1), 1-8. https://doi.org/10.1016/j.amepre.2017.01.010

Primack, B. A., Shensa, A., Sidani, J. E., Whaite, E. O., Lin, L. Y., Rosen, D., ... & Miller, E. (2017). Social media use and perceived social isolation among young adults in the U.S. American Journal of Preventive Medicine, 53(1), 1-8.

Ralph, B. C. W., Thomson, D. R., Seli, P., Carriere, J. S. A., & Smilek, D. (2017). Media multitasking and behavioral measures of sustained attention. Attention, Perception, & Psychophysics, 79(5), 1568-1582.

Rosen, L. D., Whaling, K., Rab, S., Carrier, L. M., & Cheever, N. A. (2013). Is Facebook creating "iDisorders"? The link between clinical symptoms of psychiatric disorders and technology use, attitudes and anxiety. Computers in Human Behavior, 29(3), 1243-1254. https://doi.org/10.1016/j.chb.2012.11.012

Rubio-Stipec, M., Karus, D., Amsel, L., & Khoury, E. L. (2012). Cross-national epidemiology of DSM-IV major depressive episode. BMC Medicine, 10(1), 90. https://doi.org/10.1186/1741-7015-10-90

Twenge, J. M., & Campbell, W. K. (2018). Associations between screen time and lower psychological well-being among children and adolescents: Evidence from a population-based study. Preventive Medicine Reports, 12, 271-283.

Uhls, Y. T., Ellison, N. B., & Subrahmanyam, K. (2017). Benefits and costs of social media in adolescence. Pediatrics, 140(Supplement 2), S67-S70.

Vannucci, A., Flannery, K. M., & Ohannessian, C. M. (2019). Social media use and anxiety in emerging adults. Journal of Affective Disorders, 248, 130-135. https://doi.org/10.1016/j.jad.2019.01.029

Verduyn, P., Lee, D. S., Park, J., Shablack, H., Orvell, A., Bayer, J., ... & Kross, E. (2017). Passive Facebook usage undermines affective well-being: Experimental and longitudinal evidence. Journal of Experimental Psychology: General, 146(4), 494-505.

Vogel, E. A., Rose, J. P., Roberts, L. R., & Eckles, K. (2019). Social comparison, social media addiction, and social interaction: An examination of specific social media behaviors related to major depressive disorder in a millennial population. Journal of Applied Biobehavioral Research, 24(2), e12137.

World Health Organization. (2019). Mental health atlas 2017. https://apps.who.int/iris/bitstream/handle/10665/272735/9789241514019-eng.pdf

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Published

2024-04-17

How to Cite

Liu, W. (2024). Impact of Social Media Usage on Adolescent Well-Being in China. American Journal of Psychology, 6(1), 36–46. https://doi.org/10.47672/ajp.1943

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