Title

Mental health issues linked selfie addiction among South Indian college students

Authors

M. Baskaran^1,*, Riya Jacob², R. Jeyadeepa³, G. Raghuthaman⁴ & A. Jayasudha⁵

Affiliation

¹Department of Mental Health Nursing, PSG College of Nursing, Coimbatore & The Tamil Nadu Dr. M.G.R. Medical University, Chennai, India; ²Department of Psychiatric Nursing, Rajalakshmi College of Nursing, Chennai, India; ³Department of Medical Surgical Nursing, PSG College of Nursing, Coimbatore, India; ⁴Department of Psychiatry, Institute of Medical Sciences and Research, Coimbatore, India; ⁵Department of Obstetrics and Gynecological Nursing, Apollo College of Nursing Hyderabad; *Corresponding author

Email

Baskaran M - E - mail: baskirathi@gmail.com, baskaranm@psgnursing.ac.in
Riya Jacob - E - mail: riya96jacob@gmail.com
Jeyadeepa R - E - mail: jeyadeepa@psgnursing.ac.in
Raghuthaman G - E - mail: raghuthaman_gopal@yahoo.co.in
Jayasudha A - E -mail: madhavanjayasudha98@gmail.com

Article Type

Research Article

Date

Received January 1, 2025; Revised January 31, 2025; Accepted January 31, 2025, Published January 31, 2025

Abstract

Selfie addiction is a behaviour involving excessive selfie taking and sharing to obtain validation and acceptance on social media and it has been understudied. We used a simple random sampling method to recruit 165 students who were assessed for selfie addiction behaviour using Selfitis Behaviour Scale (SBS) before and after undertaking lecture series about selfie addiction. Data shows a significant reduction (t=12.119, p=0.0001) in mean SBS scores post-test (38.35±10.69) when compared to pre-test (57.20±18.44). Female gender was significantly associated with intensity of selfie addiction behaviour pre-test (p=0.0001), number of selfies clicked per day (p=0.0001) and where the selfies are posted (p=0.007). Thus, acute selfie addiction behaviour was manifested by most students which reduced significantly with teaching strategies.

Keywords

Mental health, pathway, selfie addiction, selfies, behaviour

Citation

Baskaran et al. Bioinformation 21(1): 1-5 (2025)

Edited by

P Kangueane

ISSN

0973-2063

Publisher

Biomedical Informatics

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.