Volume 9, Issue 4 (Oct-Dec 2020)
JCHR 2020, 9(4): 215-221 |
Back to browse issues page
1- 1. Department of Community & Preventive Medicine ,Shahid Sadoughi University of Medical Sciences, Yazd, Iran
2- 2. General Practitioner ,Shahid Sadoughi University of Medical Sciences, Yazd, Iran
2- 2. General Practitioner ,Shahid Sadoughi University of Medical Sciences, Yazd, Iran
Abstract: (2097 Views)
Introduction: The Internet is one of the most advanced human achievements that encompasses a wide and unbroken network of multiple links. The vast Internet usage and appetite has led to the emergence of a phenomenon called Internet addiction in recent years; As Internet usage has multiplied in recent decades and its users have grown exponentially, the Internet has become a necessity for life. Considering the increase in the rate of Internet addiction, we tried to investigate the rate of internet addiction among medical students of Shahid Sadoughi University of Medical Sciences in Yazd in 1395.
Materials & Methods: This analytic-cross-sectional study was performed on 350 students of Shahid Sadoughi University of Medical Sciences in Yazd. The sampling was random sampling. The data collection tool was a demographic questionnaire and Yang's Internet addiction inventory. The questionnaire contains 20 questions, according to which the person is placed in one of four classes: normal, mild, moderate and severe. After collecting the data, the data were entered into SPSS 16 software and analyzed using Chi-square and independent t tests.
Results: The results of the study showed that out of 350, 183 (52.3%) were female and 167 (47.7%) were male. According to Internet addiction, students were 65% normal, 33.3% border lip And 1.7% were addicted to the Internet. The results also showed that there was a significant statistical relationship between the prevalence of internet addiction among students and sex, smoking and registration in cyberspace, and there was no significant statistical relationship between the prevalence of internet addiction and marital status, place of residence and birth place.
Conclusion:. Given the importance of the field of medicine and its connection with the lives of people, Internet addiction is at all possible thoughtful among medical students and should be taken by adopting programs such as holding workshops on the advantages and disadvantages of using the Internet and its subsequent consequences, Increased student awareness of the dangers of internet addiction.
Materials & Methods: This analytic-cross-sectional study was performed on 350 students of Shahid Sadoughi University of Medical Sciences in Yazd. The sampling was random sampling. The data collection tool was a demographic questionnaire and Yang's Internet addiction inventory. The questionnaire contains 20 questions, according to which the person is placed in one of four classes: normal, mild, moderate and severe. After collecting the data, the data were entered into SPSS 16 software and analyzed using Chi-square and independent t tests.
Results: The results of the study showed that out of 350, 183 (52.3%) were female and 167 (47.7%) were male. According to Internet addiction, students were 65% normal, 33.3% border lip And 1.7% were addicted to the Internet. The results also showed that there was a significant statistical relationship between the prevalence of internet addiction among students and sex, smoking and registration in cyberspace, and there was no significant statistical relationship between the prevalence of internet addiction and marital status, place of residence and birth place.
Conclusion:. Given the importance of the field of medicine and its connection with the lives of people, Internet addiction is at all possible thoughtful among medical students and should be taken by adopting programs such as holding workshops on the advantages and disadvantages of using the Internet and its subsequent consequences, Increased student awareness of the dangers of internet addiction.
Review: Research |
Subject:
General
Received: 2020/06/8 | Accepted: 2020/12/20 | Published: 2020/12/26
Received: 2020/06/8 | Accepted: 2020/12/20 | Published: 2020/12/26
References
1. Aboujaoude E, Koran LM, Gamel N, et al. Potential Markers for Problematic Internet Use: A Telephone Survey of 2,513 Adults. CNS Spectrums 2006; 11(10): 750-5. [DOI:10.1017/S1092852900014875]
2. Claffy KC, Braun H, Polyzos G.Internet Traffic Flow Profiling." San Diego Supercomputer Center.1994.
3. Yellowlees PM, Marks S. Problematic Internet Use or Internet Addiction?. Computers in Human Behavior. 2007; 23(3): 1447-53. [DOI:10.1016/j.chb.2005.05.004]
4. Stefanescu C, Chele G, Chirita R, et al. The Relationship Between Development Identity and Internet Addiction. European Psychiatry. 2007; 22: S200. [DOI:10.1016/j.eurpsy.2007.01.664]
5. Tsai HF, Cheng SH, Yeh TL, et al. The Risk Factors of Internet Addiction-A Survey of University Freshmen. Psychiatry Research. 2009; 167(3): 294-9. [DOI:10.1016/j.psychres.2008.01.015]
6. Young KS, Yue XD, Ying L. Prevalence Estimates and Etiologic Models of Internet Addiction. Internet Addiction: A Handbook and Guide to Evaluation and Treatment. 2011:3-17. [DOI:10.1002/9781118013991.ch1]
7. Kardefelt-Winther D. A Conceptual and Methodological Critique of Internet Addiction Research: Towards A Model of Compensatory Internet Use. Computers in Human Behavior. 2014; 31: 351-4. [DOI:10.1016/j.chb.2013.10.059]
8. Kraut R, Patterson M, Lundmark V, et al. Internet Paradox: A Social Technology That Reduces Social Involvement and Psychological Well-Being?. American Psychologist. 1998; 53(9): 1017. [DOI:10.1037/0003-066X.53.9.1017]
9. Hajehmougahi N, Alasvand M. The Studying of Predictor Personality Variables of Internet Addiction. Jundishapur Scientific Medical Journal. 2010;9(4):359-66. [Persian]
10. King DL, Delfabbro PH, Griffiths MD, et al. Assessing Clinical Trials of Internet Addiction Treatment: A Systematic Review and CONSORT Evaluation. Clinical Psychology Review. 2011; 31(7): 1110-6. [DOI:10.1016/j.cpr.2011.06.009]
11. Nastizai N. The Relationship Between General Health and Internet Addiction. Zahedan Journal of Research in Medical Sciences. 2009; 11(1): 57-63. [Persian]
12. Kuss DJ, Griffiths MD, Binder JF. Internet Addiction in Students: Prevalence and Risk Factors. Computers in Human Behavior. 2013; 29(3): 959-66. [DOI:10.1016/j.chb.2012.12.024]
13. Kuss DJ, Van Rooij AJ, Shorter GW, et al. Internet Addiction in Adolescents: Prevalence and Risk Factors. Computers in Human Behavior. 2013; 29(5): 1987-96. [DOI:10.1016/j.chb.2013.04.002]
14. Wang W.Internet dependency and psychosocial maturity among college students.International Journal of Human-Computer Studies. 2001; 55:919-938. [DOI:10.1006/ijhc.2001.0510]
15. Moayedfar S, Habibpoor-Gatabi K, Ganji A. Study of Internet Addiction among Adolescents and Young Adultsaged 15-25 in Tehran. Rasane Journal. 2007; 1(4): 3-4. [Persian]
16. Navabakhsh M HnF, Zadesham pour V. Effects of the Internet and the mobile identity of youth 15-29 years of Mazandaran province. J sociol. 2010;1(1):145-70. [Persian]
17. Gonzalez NA. Internet Addiction Disorder and Its Relation to Impulse Control 2002.
18. Danaei Moghaddam D, Khosravi F, Afshar E. The Effect of Internet Addiction on The Amount of Time Spent on Reading by Post-Graduate Students. National Studies on Librarianship and Information Organization. 2013; 24(3): 26-37. [Persian]
19. Solhi M, Farhandi H, Armoon B. Internet Addiction among B. Sc. Students in Health Faculty, Tehran University of Medical Sciences. Razi Journal of Medical Sciences. 2013; 20(106): 40-7. [Persian]
20. Pirzadeh A. The Relation between General Health and Internet Addiction in Medical Students, Isfahan, Iran. Health System Research. 2012; 8(1): 52-58. [Persian]
21. Khatib Zanjani N, Agahharis M. The Prevalence of Internet Addiction smong The Students of Payam Noor University, Semnan Province. Interdisciplinary Journal of Virtual Learning in Medical Sciences. 2014; 5(2):1-7. [Persian]
22. Vahabi A,Vahabi B,Rajabi N. An Evaluation of Internet Addiction and Its Related Factors among The Students of Kurdistan University of Medical Science in 2015. Journal of Medical Education Development. 2014; 8(19): 99-111. .[Persian]
23. Lanthier RP, Windham RC. Internet Use and College Adjustment: The Moderating Role of Gender. Computers in Human Behavior. 2004; 20(5): 591-606. [DOI:10.1016/j.chb.2003.11.003]
24. Sepehrian F, Jokar L. Surveying internet addiction prevalence rate among Orumiyeh Universities' students and its predicting factors. Traning & Learning Researches. 2011; 1(45): 51- 60. [Persian]
25. Schoenfeld D, Yan ZH. Prevalence and correlates of internet addiction in undergraduate students : Assessing with Two Major Measures. International Journal of Cyber Behavior, Psychology & Learning. 2012; 2(2): 19. [DOI:10.4018/ijcbpl.2012040102]
26. Jafary Nodoushan MA, Alipour Nodoushan KH, Mirizadeh M, Et Al. The Survey of Relationship General Health Status between Internet Addiction in Qom University of Medical Sciences Student in 2010-2011. Qom University of Medical Sciences Journal. 2012; 6(3): 86-90. [Persian]
27. Amidi Mazaheri M, Rahmati Najarkolaei F. Cell Phone and Internet Addiction among Students in Isfahan University of Medical Sciences (Iran). Journal of Health Policy and Sustainable Health. 2014; 1(3): 101-105. [DOI:10.5812/scimetr.18760]
28. Salehi M, Norozi Khalili M, Hojjat SK, et al. Prevalence of internet addiction and associated factors among medical students from Mashhad, Iran in 2013. Iran Red Crescent of Medical Journal. 2014; 16(5):e17256. [DOI:10.5812/ircmj.17256]
29. Canan F, Ataoglu A, Ozcetin A, et al. The Association between Internet Addiction and Dissociation among Turkish College Students. Comprehensive Psychiatry. 2012; 53(5): 422-426. [DOI:10.1016/j.comppsych.2011.08.006]
30. Jelenchick LA, Becker T, Moreno MA. Assessing the psychometric properties of the internet addiction test (IAT) in US college students. Psychiatry research. 2012; 196(2-3): 296- 301. [DOI:10.1016/j.psychres.2011.09.007]
31. Mohammady Z, Khatony A, Hydary M, et al. Internet Dependency in Students of Kermanshah University of Medical Sciences. Iranian Journal of Medical Education. 2014; 13(12):1019- 1030. [Persian]
32. Soleimani sefat E, Sa'adati H, Azimian S, et al. Psychometric Properties of Persian Version of Young-Rygh Avoidance Inventory. Iranian Journal of Psychiatry and Clinical Psychology. 2017; 23 (2) :232-243. [Persian] [DOI:10.29252/nirp.ijpcp.23.2.232]
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution 4.0 International License. |