Internet Addiction and Estimation Procedure, Among Computer and Medical Professional Students: A Cross Sectional Study Odisha, India
International Journal of Biomedical Materials Research
Volume 4, Issue 1, August 2016, Pages: 1-5
Received: Apr. 11, 2016; Accepted: May 6, 2016; Published: Aug. 17, 2016
Views 3208      Downloads 157
Authors
Bulu Mahanty, Department of Community Medicine, Hi-tech Medical College & Hospital, Bhubaneswar, Odisha, India
Gopabandhu Mishra, P. G. Department of Statistics, Utkal University Vanivihar, Bhubaneswar, Odisha, India
Article Tools
Follow on us
Abstract
This paper is about the Estimation of internet addiction of MCA Students & Medical Students of Hi-tech medical college & hospital at Utkal University, Bhubaneswar, Odisha. It has transformed academic landscape Research over the last decade has identified Internet addiction as a new and often unrecognized clinical disorder that impact a user’s ability to control online use to the extent that it can cause relational, occupational, and social problems. A total of 100 study participants were selected. Probability sampling technique of cluster sample of two cluster &a cross-sectional study of the students of Master in computer Application 50 Students & Hi-tech medical college & hospital 50 students were scored using a questionnaire to determine the number of hours they spend on the use of internet and also the purpose for which they use internet & its risk factors, estimation of future trends. From the result most of them are internet addicted 69.61% are mild addiction but most of MCA students are severe (75 out of 100 scores) addicted but most of Medical Students are mild addicted (63 out of 100 scores). Higher the score range the greater the level of internet addiction, risk factors are higher. Further it was observe through the advance statistical analysis pair t test for impact of internet addiction & Estimation procedure apply by linear Regression analysis for predict the future internet addiction show that a significant among MCA & Medical Students for internet addiction & are having high risk factors for health, family, friends, psychological, angry etc. have positive impact. The study showed that more than 70% of students are mild addiction out of which MCA students are severe risk than the medical students. For 47% of the students reason for surfing is nonacademic work i.e. personal out of which 9% are others like Porn & Online Purchasing, Online movies, etc. Thus it is essential to orient the students on using internet for their studies for better career and life.
Keywords
Internet Addiction, Risk Factor, Paired t Test, Linear Regression, SPSS 22.0
To cite this article
Bulu Mahanty, Gopabandhu Mishra, Internet Addiction and Estimation Procedure, Among Computer and Medical Professional Students: A Cross Sectional Study Odisha, India, International Journal of Biomedical Materials Research. Vol. 4, No. 1, 2016, pp. 1-5. doi: 10.11648/j.ijbmr.20160401.11
Copyright
Copyright © 2016 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
References
[1]
Moreno MA, Jelenchick LA, Christakis DA (2013). "Problematic internet use among older adolescents: A conceptual framework". Computers and Human Behavior 29: 1879–1887.
[2]
Lauren Jelenchick. “The problematic & Risky Internet Use Screening Scale (PRIUSS) for Adolescents and Young Adults; Intial Scale Development and Refinement” (PDF). Retrieved 14 March 2014.
[3]
https://en.wikipedia.org/wiki/Internet_addiction_disorder.
[4]
Young, K. (1999). The research and controversy surrounding internet aye, Prof. Dr. Gerharaddiction. CyberPsychology and Behavior, 2, 381–383. Springer Int J Ment Health Addict (2006) 51.
[5]
Young, K. (1999b). Internet addiction: Symptoms, evaluation and treatment. In L. Vande Creek & T. Jackson (Eds.), Innovations in clinical practice: A source book, 17 (pp. 19–31). Sarasota, Florida: Professional Resource Press.
[6]
Rewati Limd F, J. J. (1998). Internet addiction on campus: The vulnerability ofotwengel (2015). Use of Internet Among Undergraduate Students From Mumbai, India, ISSN: 2230-7109 (Online) | ISSN: 2230-9543 (Print), IJECT Vol. 6, Issue 2, April - June 2015.
[7]
Kandell college students. Cyber Psychology and Behavior. 1 (1), 11–17.
[8]
Malviya, Amit, Dixit, Sanjay, Shukla, Harish, Mishra, Ankita, Jain, Abhineet and Tripathi, Amrita (2014). a study to evaluate internet addiction disorder among students of a medical college and associated hospital of central india, National Journal of Community Medicine, 5 (1), 93-95.
[9]
Morahan-Martin J, Schumacher P. Incidence and correlates of pathological Internet use among college students. Comput Human Behav 2000; 16: 13-29
[10]
Lam LT, Peng ZW, Mai JC, Jing J. Factors associated with Internet addiction among adolescents. Cyberpsychol Behav 2009; 12: 551-5.
[11]
Warren, A., Brunner, D., Mair P., Barnet, L.,"Technology in Teaching and Learning: An Introductory Guide. London: Kogan Page, 1998
[12]
Laurillard, D., "Learning through collaborative computer simulation", British Journal of Educational Technology, 23 (3), pp. 164-171, 1992
[13]
Ciglaric, M., Vidmar, T., "The use of Internet technologies for teaching purposes", European Journal of Engineering Education, 23 (4), pp. 497-503, 1998.
[14]
Charp, S., "The millennium classroom", T. H. E. Journal, 27 (10), pp. 10-12, 2000.
ADDRESS
Science Publishing Group
1 Rockefeller Plaza,
10th and 11th Floors,
New York, NY 10020
U.S.A.
Tel: (001)347-983-5186