Impact of Social Media on Mental Health and Well-Being across Different Cultures and Age Groups in Nepal

Authors

  • Bilhana Chaha

DOI:

https://doi.org/10.47604/ijp.2359
Abstract views: 31
PDF downloads: 39

Keywords:

Social Media, Mental Health, Well-Being Different Cultures, Age Groups

Abstract

Purpose: The aim of the study was to investigate impact of social media on mental health and well-being across different cultures and age groups

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:  Social media's impact on mental health and well-being varies across cultures and age groups. While it can foster social connection, information sharing, and creativity, it also contributes to negative outcomes such as social comparison, cyberbullying, and sleep disruption. Cultural norms influence how individuals engage with social media, and age-related factors shape susceptibility to its effects, highlighting the need for nuanced approaches to promoting digital well-being.

Unique Contribution to Theory, Practice and Policy: Social comparison theory, cultural learning theory & uses and gratifications theory may be used to anchor future studies on impact of social media on mental health and well-being across different cultures and age groups. Develop culturally sensitive interventions and digital literacy programs that equip individuals with the skills to navigate social media platforms in ways that promote mental well-being. Advocate for evidence-based policies that protect vulnerable populations from the harmful effects of social media while promoting digital inclusion and empowerment.

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References

Alam, M. A., Majumder, M. A. A., & Karmoker, P. C. (2018). Pattern of psychiatric morbidity and health seeking behavior of patients in a tertiary level hospital. Bangladesh Journal of Psychiatry, 28(1), 5-10.

Faelens, L., Hoorelbeke, K., Kircaburun, K., & Aysan, F. (2020). Instagram use and mental well-being: The mediating role of self-esteem and sleep quality. Current Psychology, 39(6), 1997-2005. DOI: 10.1007/s12144-018-9843-9

Fekadu, A., Medhin, G., Selamu, M., Hailemariam, M., Alem, A., Giorgis, T. W., ... & Hanlon, C. (2016). Population level mental distress in rural Ethiopia. BMC Psychiatry, 16(1), 1-10. DOI: 10.1186/s12888-016-0988-2

Festinger, L. (1954). A theory of social comparison processes. Human Relations, 7(2), 117-140.

Gao, J., Zheng, P., Jia, Y., Chen, H., Mao, Y., Chen, S., ... & Dai, J. (2021). Mental health problems and social media exposure during COVID-19 outbreak. PLoS One, 16(4), e0246875. DOI: 10.1371/journal.pone.0246875

Gureje, O., Lasebikan, V. O., Kola, L., & Makanjuola, V. A. (2006). Lifetime and 12-month prevalence of mental disorders in the Nigerian Survey of Mental Health and Well-Being. The British Journal of Psychiatry, 188(5), 465-471. DOI: 10.1192/bjp.bp.104.007802

Gururaj, G., Varghese, M., Benegal, V., Rao, G. N., Pathak, K., Singh, L. K., ... & Kokane, A. (2016). National Mental Health Survey of India, 2015-16: Summary. Bengaluru, India: National Institute of Mental Health and Neuro Sciences.

Habtamu, K., Minaye, A., Zeleke, W., Girmay, M., Mesfin, M., Fekadu, A., & Hanlon, C. (2017). Prevalence and associated factors of mental distress among final-year undergraduate students at University of Gondar, Northwest Ethiopia, 2017: A cross-sectional study. Psychiatry Journal, 2018. DOI: 10.1155/2018/8609601

Jörns-Presentati A., Napp A-K., Dessauvagie AS., Stein DJ., Jonker D., Breet E., Charles W., Swart RL., Lahti M., Suliman S. (2021) The prevalence of mental health problems in sub-Saharan adolescents: A systematic review. PLoS ONE, 16(5), e0251689. https://doi.org/10.1371/journal.pone.0251689

Katz, E., Blumler, J. G., & Gurevitch, M. (1973). Uses and gratifications research. Public Opinion Quarterly, 37(4), 509-523.

Kawachi, I., Subramanian, S. V., & Almeida-Filho, N. (2017). A glossary for health inequalities. Journal of Epidemiology & Community Health, 61(6), 438–445. DOI: 10.1136/jech.2004.029944

Kieling C., Baker-Henningham H., Belfer M., Conti G., Ertem I., Omigbodun O., Rohde L.A., Srinath S., Ulkuer N., Rahman A. (2017) Child and adolescent mental health worldwide: evidence for action. The Lancet, 378(9801), 1515-1525. https://doi.org/10.1016/S0140-6736(11)60827-1

Kircaburun, K., Griffiths, M. D., & Billieux, J. (2019). Trait emotional intelligence and problematic online behaviors among adolescents: The mediating role of mindfulness, rumination, and depression. Personality and Individual Differences, 139, 208-213. DOI: 10.1016/j.paid.2018.11.015

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. DOI: 10.1371/journal.pone.0069841

Lopes, C. S., Araya, R., Werneck, G. L., Chor, D., Faerstein, E., & The Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) Collaborative Group. (2016). Understanding the complex of factors associated with common mental disorders in women: A structural equation modeling approach. Social Psychiatry and Psychiatric Epidemiology, 51(12), 1735-1747. DOI: 10.1007/s00127-016-1303-3

Merikangas, K. R., He, J. P., Burstein, M., Swanson, S. A., Avenevoli, S., Cui, L., ... & Swendsen, J. (2010). Lifetime prevalence of mental disorders in U.S. adolescents: Results from the National Comorbidity Survey Replication–Adolescent Supplement (NCS-A). Journal of the American Academy of Child & Adolescent Psychiatry, 49(10), 980-989. DOI: 10.1016/j.jaac.2010.05.017

Ministry of Health, Labour and Welfare. (2018). Survey of Medical Institutions. Retrieved from https://www.mhlw.go.jp/english/database/db-hss/smi.html

Mutiso V.N., Musyimi C.W., Musau A.M., Tele A.K., Pike K.M., Rebello T.J., Thornicroft G.J., Ndetei D.M. (2018) Prevalence, comorbidity and predictors of anxiety disorders among adolescents in secondary schools in Kenya. BMC Psychiatry, 18(1), 33. https://doi.org/10.1186/s12888-018-1611-x

Nesi, J., Prinstein, M. J., & Telzer, E. H. (2018). Adolescents’ social media use and both serious and nonsuicidal self-injury: Longitudinal analysis with regression mixture models. Journal of Abnormal Child Psychology, 46(7), 1411-1423. DOI: 10.1007/s10802-018-0404-1

Odenwald, M., Hinkel, H., Schauer, E., Neuner, F., Schauer, M., Elbert, T., & Rockstroh, B. (2014). Use of khat and posttraumatic stress disorder as risk factors for psychotic symptoms: A study of Somali combatants. Social Science & Medicine, 41(1), 146-153. DOI: 10.1016/j.socscimed.2014.01.009

OECD (2022), Health at a Glance: OECD Indicators https://www.oecd-ilibrary.org/social-issues-migration-health/health-at-a-glance_19991312

Patel V., Saxena S., Lund C., Thornicroft G., Baingana F., Bolton P., Chisholm D., Collins P.Y., Cooper J.L., Eaton J., Herrman H., Herzallah M.M., Huang Y., Jordans M.J.D., Kleinman A., Medina-Mora M.E., Morgan E., Niaz U., Omigbodun O., Prince M., Rahman A., Saraceno B., Sarkar B.K., De Silva M., Singh I., Stein D.J., Sunkel C., UnÜtzer J. (2016) The Lancet Commission on global mental health and sustainable development. The Lancet, 388(10047), 1003-1058. https://doi.org/10.1016/S0140-6736(16)31698-6

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 US. American Journal of Preventive Medicine, 53(1), 1-8. DOI: 10.1016/j.amepre.2017.01.010

Rahman, M. E., Haque, M. A., Zahan, M. K., Islam, M. J., Islam, M. S., Ahmed, A., ... & Sikder, M. T. (2020). Prevalence and associated factors of depression among Bangladeshi homemakers: A cross-sectional study. PLoS One, 15(12), e0243698. DOI: 10.1371/journal.pone.0243698

Sarkar, M., Alam, M. S., & Das, J. (2019). Mental health services in Bangladesh: Experiences from CMCH. In C. P. Singh (Ed.), Mental health services in South Asia: Past, present and future (pp. 123-134). Springer. DOI: 10.1007/978-981-13-9297-7_10

Shakya, H. B., & Christakis, N. A. (2017). Association of Facebook use with compromised well-being: A longitudinal study. American Journal of Epidemiology, 185(3), 203-211. DOI: 10.1093/aje/kww189

Shakya, H. B., & Christakis, N. A. (2017). Association of Facebook use with compromised well-being: A longitudinal study. American Journal of Epidemiology, 185(3), 203-211. DOI: 10.1093/aje/kww189

Smith, A. L., Rosen, T. E., & Barlow, D. H. (2017). The psychological flexibility model: A foundation for integration of evidence-based psychosocial interventions. Journal of Abnormal Psychology, 126(3), 289–305. DOI: 10.1037/abn0000258

Turel, O., & Serenko, A. (2020). An examination of the differential effects of cultural values on users’ responsiveness to social media addiction. Information Systems Journal, 30(1), 33-56. DOI: 10.1111/isj.12236

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(2), 145-151. DOI: 10.1037/xge0000254

Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press.

Wang, J. L., Jackson, L. A., Gaskin, J., & Wang, H. Z. (2018). The effects of social networking site (SNS) use on college students’ friendship and well-being. Computers in Human Behavior, 82, 64-74. DOI: 10.1016/j.chb.2017.12.028

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Published

2024-02-27

How to Cite

Chaha, B. (2024). Impact of Social Media on Mental Health and Well-Being across Different Cultures and Age Groups in Nepal. International Journal of Psychology, 9(1), 22 – 33. https://doi.org/10.47604/ijp.2359

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