Social Media Addiction, Fear of Missing Out, and Psychological Distress Among Indian College Students
Author(s):Ravi Prakash Sharma
Affiliation: Department of Psychology, Banaras Hindu University, Varanasi, Uttar Pradesh, India
Page No: 64-68
Volume issue & Publishing Year: Volume 3, Issue 3, 2026/03/13
Journal: International Journal of Advanced Engineering Application (IJAEA)
ISSN NO: 3048-6807
DOI: https://doi.org/10.5281/zenodo.19353004
Abstract:
The relationship between social media use and youth mental health has become one of the most urgently debated questions in contemporary public health and psychology. Concerns that have animated academic discourse since early correlational studies linking smartphone use to adolescent depression and anxiety have acquired new political urgency as Australia enacted age-based social media restrictions in 2025, UK parliamentary committees called for similar measures, and India’s National Commission for Protection of Child Rights flagged excessive social media use as a primary risk factor for adolescent mental health deterioration. Yet the pathway from social media exposure to psychological distress is neither simple nor uniform: heavy use does not uniformly produce distress, and the mechanisms through which social media features — algorithmic engagement maximisation, infinite scroll, notification frequency, social comparison affordances — convert use into addictive behaviour that then drives mental health consequences remain incompletely specified in the Indian young adult context.
This study examines the antecedent-to-consequence chain through a gender-moderated structural equation model applied to survey data from college students across twelve institutions in Tamil Nadu, Andhra Pradesh, and Maharashtra. The Social Media Addiction Scale – Short Version (SAS-SV) operationalises addictive social media use as the key mediating construct between platform use characteristics (daily screen time, fear of missing out, social comparison orientation, notification frequency) and psychological distress outcomes measured by the Depression Anxiety Stress Scale-21 (DASS-21). This dual-scale combination allows the study to distinguish between volume of use — a morally neutral behavioural indicator — and addictive use characterised by loss of control, preoccupation, and functional impairment, which theory and prior evidence indicate is the proximal driver of mental health harm.
The study’s Indian institutional context adds geographic specificity to a literature dominated by Western samples where social media platform distribution, cultural norms around social comparison, and generational expectations of digital connectivity differ substantially from the Tamil Nadu and Andhra Pradesh college environment in which Instagram’s Reels format and WhatsApp group pressure dynamics operate within frameworks of collectivist family obligation and academic achievement anxiety that have no direct analogue in the populations from which most published SAS-SV and DASS-21 validation studies are drawn.
Keywords: social media addiction, DASS-21, SAS-SV, mental health, depression, anxiety, FOMO, social comparison, Instagram, college students, India, SEM, gender moderation, Tamil Nadu, psychological distress, screen time
Reference:
- [1] Anderson, M., & Jiang, J. (2018). Teens, social media & technology 2018. Pew Research Center.
- [2] Andreassen, C. S., Pallesen, S., & Griffiths, M. D. (2017). The relationship between addictive use of social media, narcissism, and self-esteem. Addictive Behaviors, 64, 287-293.
- [3] Australian eSafety Commissioner. (2024). Online Safety for Young People: Policy Framework 2024. Australian Government.
- [4] Bányai, F., Zsila, Á., Király, O., et al. (2017). Problematic social media use: Results from a large-scale nationally representative adolescent sample. PLOS ONE, 12(1), e0169839.
- [5] Beyari, H. (2023). The relationship between social media and the increase in mental health problems. International Journal of Environmental Research and Public Health, 20(3), 2383.
- [6] Chae, J. (2018). Reexamining the relationship between social media and happiness: The effects of various social media platforms on reconceptualized happiness. Telematics and Informatics, 35(6), 1656-1664.
- [7] Festinger, L. (1954). A theory of social comparison processes. Human Relations, 7(2), 117-140.
- [8] India MoHFW. (2023). National Mental Health Survey India 2023. Ministry of Health and Family Welfare.
- [9] Keles, B., McCrae, N., & Grealish, A. (2020). A systematic review: The influence of social media on depression, anxiety and psychological distress in adolescents. International Journal of Adolescence and Youth, 25(1), 79-93.
- [10] Kwon, M., Lee, J. Y., Won, W. Y., et al. (2013). Development and validation of a smartphone addiction scale (SAS). PLOS ONE, 8(2), e56936.
- [11] Lovibond, S. H., & Lovibond, P. F. (1995). Manual for the Depression Anxiety Stress Scales (2nd ed.). Psychology Foundation of Australia.
- [12] NCPCR. (2023). Report on Impact of Social Media on Children and Adolescents in India. National Commission for Protection of Child Rights.
- [13] Przybylski, A. K., Murayama, K., DeHaan, C. R., & Gladwell, V. (2013). Motivational, emotional, and behavioral correlates of fear of missing out. Computers in Human Behavior, 29(4), 1841-1848.
- [14] Ramakrishna, J., Bhavani, R., & Sundaram, K. (2021). Validation of DASS-21 in Indian university students. Indian Journal of Psychological Medicine, 43(4), 312-318.
- [15] Rosen, L. D., Whaling, K., Carrier, L. M., et al. (2013). The media and technology usage and attitudes scale: An empirical investigation. Computers in Human Behavior, 29(6), 2501-2511.
- [16] Sharma, P., & Kumari, S. (2024). Social media use and mental health among Indian college students: A systematic review. Asian Journal of Psychiatry, 91, 103815.
- [17] Sherry, J. (2004). Flow and media enjoyment. Communication Theory, 14(4), 328-347.
- [18] Statista. (2025). Social media users in India 2025. Statista Research Department.
- [19] Vannucci, A., Flannery, K. M., & Ohannessian, C. M. (2017). Social media use and anxiety in emerging adults. Journal of Affective Disorders, 207, 163-166.
- [20] WHO. (2022). World Mental Health Report: Transforming Mental Health for All. World Health Organization.
- [21] Zuboff, S. (2019). The Age of Surveillance Capitalism. PublicAffairs.