The Prevalence and Determinants of Internet Addiction in Medical Students at a Government Medical College in Uttar Pradesh, India
Downloads
Published
DOI:
https://doi.org/10.55229/ijbs.v27i1.10Keywords:
Internet Addiction, Cross Sectional study, Young's Scale, Medical studentsDimensions Badge
Issue
Section
License
Copyright (c) 2024 Tarun Pal, Nidhi Agastya
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
-
Attribution — You must give appropriate credit, provide a link to the license, andindicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
-
NonCommercial — You may not use the material for commercial purposes.
-
NoDerivatives — If you remix, transform, or build upon the material, you may not distribute the modified material.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Introduction: The issue of Internet addiction is rampant amongst medical students as they are vulnerable due to personal, social and academic pressure. It is plausible to foresee a future where this seemingly harmless pastime leads to dire consequences on the mental as well as physical well-being of students.Abstract
Objectives: This study aims to find out the prevalence of internet addiction among undergraduate students. The study also aims to figure out various determinants and factors that are associated with addiction, such as gender differences, the professional year of the medical student and the main purpose of internet use.
Methods: A study was conducted at LLRM Medical College, Meerut, and it included 354 students selected by simple random sampling. They filled out a questionnaire with the first part regarding socio-demographic details and the second part of it is Young’s internet addiction test. According to the score, the students were categorized into normal users (<30), mild addiction (30–50), moderate addiction (50–80) and severe addiction (80–100).
Results and discussion: Out of 354 students, 31.63% are mildly addicted, 33.05% are moderately addicted and 3.96% are severely addicted. The remaining 31.35% comprises the normal users. Therefore, a total of 68.64% of students are addicted. The factors associated with a higher risk of addiction are found to be male gender, using social media and first year of college.
Conclusion: The increasing prevalence of internet addiction should prove eye-opening for medical students to make better use of their free time by doing productive activities. They must keep an active check regarding their daily screen time.
How to Cite
Downloads
(1)Keelery S. Statista:Demographics &Use, Internet usage in India –statistics &facts. 2021. [[Last Accessed on 2021 Aug 02]]. Availabler from:https://www.statista.com/topics/2157/internet-usage-in-india/#topicHeade. (2) Palanichamy, T., Sharma, M. K., Chandra, P. S., & Kandavel, T. (2023). Development and validation of an instrument for the assessment of internet use in the Indian context. Industrial psychiatry journal, 32(1), 120–129. https://doi.org/10.4103/ipj.ipj_14_21 (3) Meerkerk, G. J., Van Den Eijnden, R. J., Vermulst, A. A., & Garretsen, H. F. (2009). The Compulsive Internet Use Scale (CIUS): Some psychometric properties. CyberPsychology & Behavior 12(1), 1-6. doi:10.1089/cpb.2008.0181 (4) Yuan, K., Qui, W, Liu, Y & Tian, J. (2011). Internet addiction: Neuroimaging findings. Communicative & Integrative Biology, 4(6), 37-639 (5) Kaess, M., Durkee, T., Brunner, R., Carli, V., Parzer, P., Wasserman, C.,et al Pathological Internet use among adolescents: psychopathology and self-destructive behaviours. Eur Child Adolesc Psychiatry. Doi: 10.1007/s00787-014-0562-7 (6) Zochil ML. A literature review of internet addiction with a focus on university students: Published in Janzssa - Journal of the Australian and New Zealand Student Services Association [Internet]. ANZSSA; 2015 [cited 2023 Aug 11]. Available from: https://janzssa.scholasticahq.com/article/73118-a-literature-review-of-internet-addiction-with-a-focus-on-university-students/stats (7) Block J. J. (2008). Issues for DSM-V: Internet addiction. American Journal of Psychiatry, 165(3), 306- 307. doi: 10.1176/appi.aip.2007.07101556 (8) Hinsch, C., & Sheldon, K. M. (2013). The impact of frequent social Internet consumption: Increased procrastination and lower life satisfaction. Journal of Consumer Behaviour, 12(6), 496-505. doi:10.1002/cb.1453 (9) Nath K, Naskar S, Victor R. A cross-sectional study on the prevalence, risk factors, and ill effects of internet addiction among medical students in Northeastern India. The primary care companion for CNS disorders. 2016 Mar 31;18(2):27389. (10) Sharma A, Sahu R, Kasar PK, Sharma R. Internet addiction among professional courses students: A study from Central India. Int J Med Sci Public Health 2014;3:1069-1073 (11) Chaudhari B, Menon P, Saldanha D, Tewari A, Bhattacharya L. Internet addiction and its determinants among medical students. Industrial psychiatry journal. 2015 Jul;24(2):158 (12) Kandell JJ. Internet addiction on campus: The vulnerability of college students. Cyberpsychology & behavior. 1998;1(1):11-7. (13) International Classification of Diseases, Eleventh Revision (ICD-11), World Health Organization (WHO) 2019/2021 https://icd.who.int/browse11. (14) Wartberg L, Kriston L, Zieglmeier M, Lincoln T, Kammerl R. A longitudinal study on psychosocial causes and consequences of internet gaming disorder in adolescence. Psychol Med. (2019) 49:287–94 (15) Luo, Tao et al. “Diagnostic Contribution of the DSM-5 Criteria for Internet Gaming Disorder.” Frontiers in psychiatry vol. 12 777397. 5 Jan. 2022, doi:10.3389/fpsyt.2021.777397 (16) Yadav S, Arora S, Chaudhary S, Garg R. Prevalence and Predictors of Internet Addiction among North India Health Science Students. Journal of Pharmaceutical Negative Results. 2022 Oct 5:116-21. (17) Tahir MJ, Malik NI, Ullah I, Khan HR, Perveen S, Ramalho R,et al. Internet addiction and sleep quality among medical students during the COVID-19 pandemic: A multinational cross-sectional survey. PloS one. 2021 Nov 5;16(11):e0259594. (18) Krishnamurthy S, Chetlapalli S. Internet addiction: prevalence and risk factors: a cross-sectional study among college students in Bengaluru, the Silicon Valley of India. Indian J Public Health. 2015;59(2):115-121 (19) Haque M, Rahman NA, Majumder MA, Haque SZ, Kamal ZM, Islam Z,et al. Internet use and addiction among medical students of Universiti Sultan Zainal Abidin, Malaysia. Psychology research and behavior management. 2016 Nov 14:297-307 (20) Chathoth V, Kodavanji B, Arunkumar N, Pai S. Internet behaviour pattern in undergraduate medical students in Mangalore. J Clin Diagn Res. 2014;8(11):JC05-JC07. (21) Asokan AG, Varghese VA, Rajeev A. Internet addiction among medical students and its impact on academic performance: an Indian study. J Med Sci Clin Res. 2019;7(3):670-6. (22) A. V. P. C. G. Duraimurugan .M, Abirami. V, Elizabeth Reji, “Internet Addiction And Associated Factors: A Study Among College Students In South India”, ijmhs, vol. 5, no. 3, pp. (23) Khan MA, Shabbir F, Rajput TA. Effect of gender and physical activity on internet addiction in medical students. Pakistan journal of medical sciences. 2017 Jan;33(1):191. (24) Griffiths MD. Does internet and computer “addiction”exist? some case study evidence, Cyberpsychol Behav 2000;3:211-8. (25) Goel D, Subramanyam A, Kamath R. A study on the prevalence of Internet addiction and its association with psychopathology in Indian adolescents. Indian J Psychiatry.
References
Most read articles by the same author(s)
- Swati Singh, Tarun Pal, Gyanendra Kumar, Prevalence of Homeless Mentally Ill Patient along with their Clinical Presentation at Government Setup in Western Uttar Pradesh State of India , Indian Journal of Behavioural Sciences: Vol. 25 No. 01 (2022): Indian Journal of behavioural Sciences
- Seema Jain, RC Gupta, Sanjeev Kumar, Kraty Singh, Ravi Bandhu, Tarun Pal, Compassion Fatigue Amongst Resident Doctors of a Medical College , Indian Journal of Behavioural Sciences: Vol. 27 No. 01 (2024): Indian Journal of Behavioural Sciences
- Swati Singh, Tarun Pal, Gyanendra Kumar, Neetu Singh, A Comparative Study of Mental Health Impact Among the Patients of COVID -19 During First and Second Waves of Pandemic , Indian Journal of Behavioural Sciences: Vol. 24 No. 01 (2021): Indian Journal of Behavioral Sciences