Social Media and Mental Health: Understanding the Association between SNS Addiction and Depression in Students

Afsheen Lakho; Noor-ul- Ain; Kainat Memon; Aakash Lakhiar; Ume- Kalsoom; Fahad Jibran Siyal; Shahzad Ali Jiskani; Faiza Jokhio; Nadeem Lund; Waseem Abbas; Mir Hassan Khoso; Bakhtawar Shaikh

doi:10.70749/ijbr.v3i2.787

Authors

Afsheen Lakho Institute of Pharmacy, SMBBMU, Larkana.
Noor-ul-Ain Institute of Pharmacy, SMBBMU, Larkana.
Kainat Memon Institute of Pharmacy, SMBBMU, Larkana.
Aakash Lakhiar Institute of Pharmacy, SMBBMU, Larkana.
Ume-Kalsoom Institute of Pharmacy, SMBBMU, Larkana.
Fahad Jibran Siyal Department of Pharmacology, Chandka Medical College, SMBBMU, Larkana.
Shahzad Ali Jiskani Department of Pathology, Chandka Medical College @ SMBBMU, Larkana.
Faiza Jokhio Benazir College of Nursing, SMBBMU, Larkana.
Nadeem Lund Institute of Pharmacy, SMBBMU, Larkana.
Waseem Abbas Institute of Pharmacy, SMBBMU, Larkana.
Mir Hassan Khoso Department of Biochemistry, Chandka Medical College, SMBBMU, Larkana.
Bakhtawar Shaikh Institute of Pharmacy, SMBBMU, Larkana.

DOI:

https://doi.org/10.70749/ijbr.v3i2.787

Keywords:

Social Media Addiction, Depression, Digital Well-Being, Mental Health, Social Networking Sites

Abstract

Background: Social media usage has significantly increased among university students, leading to concerns regarding its psychological impact. Excessive engagement with social networking sites (SNS) has been associated with depression, social comparison, and sleep disturbances. However, limited research has explored these associations in developing regions like Pakistan. Objective: This study aims to examine the relationship between social media addiction and depression among university students in Larkana, Sindh, Pakistan. Materials and Methods: A cross-sectional study was conducted among 289 undergraduate and postgraduate students. Data were collected through a structured questionnaire incorporating the Bergen Social Media Addiction Scale (BSMAS) and the Patient Health Questionnaire-9 (PHQ-9) to assess social media addiction and depressive symptoms, respectively. Pearson’s correlation and multiple regression analyses were performed using SPSS v24.0 to evaluate association between SNS addiction and depression, controlling for demographic and lifestyle factors. A p-value of <0.05 was considered as statistically significant. Results: The findings revealed a significant positive correlation (p<0.001) between social media addiction and depression, with higher SNS addiction scores associated with greater depressive symptoms. Gender differences were observed, with female students reporting slightly higher levels of social media addition than males (p<0.05). Additionally, excessive SNS use was linked to sleep disruption, reduced academic performance, and increased psychological distress. Conclusion: This study provides empirical evidence supporting the association between social media addiction and depression among university students. The findings emphasize the need for digital literacy programs, psychosocial interventions, and institutional policies to regulate screen time and mitigate the negative effects of SNS addiction. Future research should adopt longitudinal and cross-sectional approaches to explore causality and underlying socio-economic factors influencing this relationship.

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References

Chodavadia P, Teo I, Poremski D, Fung DSS, Finkelstein EA. Prevalence and economic burden of depression and anxiety symptoms among Singaporean adults: results from a 2022 web panel. BMC Psychiatry. 2023;23:104. https://doi.org/10.1186/s12888-023-04581-7

Organization WH. Depressive disorder (depression) [Internet]. World Health Organization. 2023. Available from: https://www.who.int/news-room/fact-sheets/detail/depression

Bachmann S. Epidemiology of Suicide and the Psychiatric Perspective. Int J Env Res Public Heal. 2018;15(7):1425. https://doi.org/10.3390/ijerph15071425

Mofatteh M. Risk factors associated with stress, anxiety, and depression among university undergraduate students. AIMS Public Heal. 2020;8(1):36–65. https://doi.org/10.3934/publichealth.2021004

Deng Y, Cherian J, Khan NUN, Kumari K, Sial MS, Comite U, et al. Family and Academic Stress and Their Impact on Students’ Depression Level and Academic Performance. Front Psychiatry. 2022;13:869337. https://doi.org/10.3389/fpsyt.2022.869337

Magier MJ, Law M, Pennisi S, Martini T, Duncan MJ, Chattha H, et al. Final-year university students’ mental health and access to support as they prepared to graduate. Cogent Ment Heal. 2023;2(1):1–38. https://doi.org/10.1080/28324765.2023.2252918

Sharabati A-AA, Al-Haddad S, Al-Khasawneh M, Nababteh N, Mohammad M, Ghoush QA. The Impact of TikTok User Satisfaction on Continuous Intention to Use the Application. J Open Innov Technol Mark Complex. 2022;8(3):125. https://doi.org/10.3390/joitmc8030125

Zubair U, Khan MK, Albashari M. Link between excessive social media use and psychiatric disorders. Ann Med Surg. 2023;85(4):875–878. https://doi.org/10.1097/ms9.0000000000000112

Tsilosani A, Chan K, Steffens A, Bolton TB, Kowalczyk WJ. Problematic social media use is associated with depression and similar to behavioral addictions: Physiological and behavioral evidence. Addic Behav. 2023;145:107781. https://doi.org/10.1016/j.addbeh.2023.107781

Andreassen CS, Billieux J, Griffiths MD, Kuss DJ, Demetrovics Z, Mazzoni E, et al. The relationship between addictive use of social media and video games and symptoms of psychiatric disorders: A large-scale cross-sectional study. Psychol Addict Behav. 2016;30(2):252–62. https://doi.org/10.1037/adb0000160

Powdthavee N. Social Comparison Theory. In: Encyclopedia of Quality of Life and Well-Being Research. 2014. https://doi.org/10.1007/978-94-007-0753-5_2740

Albikawi ZF. Anxiety, Depression, Self-Esteem, Internet Addiction and Predictors of Cyberbullying and Cybervictimization among Female Nursing University Students: A Cross Sectional Study. Int J Env Res Public Heal. 2023;20(5):4293. https://doi.org/10.3390/ijerph20054293

Dennehy R, Meaney S, Cronin M, Arensman E. The psychosocial impacts of cybervictimisation and barriers to seeking social support: Young people’s perspectives. Child Youth Serv Rev. 2020;111:104872. https://doi.org/10.1016/j.childyouth.2020.104872

Kato T. Examination of the Coping Flexibility Hypothesis Using the Coping Flexibility Scale-Revised. Front Psychol. 2020;11:561731. https://doi.org/10.3389/fpsyg.2020.561731

Pirdehghan A, Khezmeh E, Panahi S. Social Media Use and Sleep Disturbance among Adolescents: A Cross-Sectional Study. Iran J Psychiatry. 2021;16(2):137–145. https://doi.org/10.18502/ijps.v16i2.5814

Kolhar M, Kazi RNA, Alameen A. Effect of social media use on learning, social interactions, and sleep duration among university students. Saudi J Biol Sci. 2021;28(4):2216–2222. https://doi.org/10.1016/j.sjbs.2021.01.010

Pellegrino A, Stasi A, Bhatiasevi V. Research trends in social media addiction and problematic social media use: A bibliometric analysis. Front Psychiatry. 2022;13:1017506. https://doi.org/10.3389/fpsyt.2022.1017506

Ali AM, Hendawy AO, Almarwani AM, Alzahrani N, Ibrahim N, Alkhamees AA, et al. The Six-Item Version of the Internet Addiction Test: Its Development, Psychometric Properties, and Measurement Invariance among Women with Eating Disorders and Healthy School and University Students. Int J Env Res Public Heal. 2021;18(23):12341. https://doi.org/10.3390/ijerph182312341

Pinquart M, Sörensen S. Helping caregivers of persons with dementia: which interventions work and how large are their effects? Int Psychogeriatr. 2006;18(4):577–95. https://doi.org/10.1017/s1041610206003462

Kroenke K, Spitzer RL, Williams JBW. The PHQ-9. J Gen Intern Med. 2001;16(9):606–613. https://doi.org/10.1046/j.1525-1497.2001.016009606.x

Rosenthal SR, Tobin AP. Self-esteem only goes so far: the moderating effect of social media screen time on self-esteem and depressive symptoms. Behav Inf Technol. 2022;42(15):2688–2695. https://doi.org/10.1080/0144929x.2022.2139759

Mink DB, Szymanski DM. TikTok use and body dissatisfaction: Examining direct, indirect, and moderated relations. Body Image. 2022;43:205–16. https://doi.org/10.1016/j.bodyim.2022.09.006

Carraturo F, Perna T Di, Giannicola V, Nacchia MA, Pepe M, Muzii B, et al. Envy, Social Comparison, and Depression on Social Networking Sites: A Systematic Review. Eur J Investig Heal Psychol Educ. 2023;13(2):364–76. https://doi.org/10.3390/ejihpe13020027

Wang T, Shao R, Hao L. Effects of Different Nocturnal Lighting Stimuli on Melatonin, Sleep and Cognitive Performance of Workers in Confined Spaces. Buildings. 2023;13(8):2112. https://doi.org/10.3390/buildings13082112

Nishioka T, Hasunuma H, Okuda M, Taniguchi N, Fujino T, Shimomura H, et al. Effects of Screen Viewing Time on Sleep Duration and Bedtime in Children Aged 1 and 3 Years: Japan Environment and Children’s Study. Int J Env Res Public Heal. 2022;19(7):3914. https://doi.org/10.3390/ijerph19073914

Tandon A, Kaur P, Dhir A, Mäntymäki M. Sleepless due to social media? Investigating problematic sleep due to social media and social media sleep hygiene. Comput Human Behav. 2020;113:106487. https://doi.org/10.1016/j.chb.2020.106487

Lee M, Lee H-H. Social media photo activity, internalization, appearance comparison, and body satisfaction: The moderating role of photo-editing behavior. Comput Human Behav. 2021;114:106579. https://doi.org/10.1016/j.chb.2020.106579

Portingale J, Girardin S, Liu S, Fuller-Tyszkiewicz M, Krug I. Daily Bi-directional effects of women’s social media-based appearance comparisons, body satisfaction, and disordered eating urges. J Eat Disord.2024;12:129. https://doi.org/10.1186/s40337-024-01096-8

Yang J, Shen Q, Tong X, Mukhopadhaya P. The impact of digital literacy in enhancing individuals’ health in China. BMC Public Health. 2025;25:364. https://doi.org/10.1186/s12889-025-21454-8

Sen K, Prybutok G, Prybutok I. The use of digital technology for social wellbeing reduces social isolation in older adults: A systematic review. SSM-Population Heal. 2022;17:101020. https://doi.org/10.1016/j.ssmph.2021.101020

Nakao M, Shirotsuki K, Nagisa Sugaya. Cognitive–behavioral therapy for management of mental health and stress-related disorders: Recent advances in techniques and technologies. Biopsychosoc Med. 2021;15:16. https://doi.org/10.1186/s13030-021-00219-w

Society CP, Force DHT, Ottawa O. Digital media: Promoting healthy screen use in school-aged children and adolescents. Paediatr Child Heal. 2019;24(6):402–408. https://doi.org/10.1093/pch/pxz095

Ho SNJ, Brown T. The Relationship Between Children’s Screen Time and the Time They Spend Engaging in Play: An Exploratory Study. J Occup Ther Sch Early Interv. 2024;17(4):903–922. https://doi.org/10.1080/19411243.2024.2333276