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GHQ28 IAT. SPSS (Post Hoc) leylikhodadost@yahoo.com

Tee Hardie. Ivan Goldberg (On Line) Internet addiction

GamesHowell GHQ28 IAT GHQ28 d= SPSS IAT

Xie Chung Xiuqin

Ourzak 1 Shayegh S, Azad H, Bahrami H. The relationship between internet addiction and personality traits in adolescents in Tehran The Journal of Fundamentals of Mental Health. 11 (42): 14958. [Persian] 2 Movahed H, Iravani H. A model for internet use bye graduate students of slekected Agricultural Faculties in Iran. Iranian J Agric Sci. 27. [Persian] 3 Alavi S, Eslami M, Maracy M, Najafi M, Jannatifard F, Rezapour H. Psychometric properties of young internet addiction test. J Behaviour Sci. 89. [Persian] 4 NikbakhtNasrabadi A, ParsaYekta Z, Seif H, Rasoolzadeh N. Professionalization experiences of newly employed nurses in clinical settings in Iran. Hayat The Journal of Faculty of Nursing & Midwifery. 11 (34): 518. [Persian]

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Abstract Original Article I nternet addict ion stat us and its relation w ith students general health at Gonabad Medical University N. Bahri 1, L. SadeghMoghadam 2, L. Khodadost 3, J. Mohammadzade 4, E. Banafsheh 5 Background and Aim: Nowadays a large population in the world use internet. Unfortunately, despite many advantages and its positive changes in communication, Internet is condemned to have dangerous side effects, like Internet addiction that can be the most destructive one. The aim of this study is to survey the status of Internet addiction among Gonabad Medical University students and its relationship with their mental health. Materials and Methods: This crosssectional study was conducted at Gonabad Medical University in 2010. 400 students from different courses were selected by using stratified random sampling. After filling out informed consent forms, three other forms including individual questionnaire, IAT and GHQ28 were given to the subjects to fill out. After controlling Data for accuracy, Data analysis was performed by SPSS software version 16 and frequency distribution, mean, one way ANOVA and Post Hoc test. Results: The results showed that 9.5% of the subjects were addicted to Internet, 21.5 percent were at risk. The Mean and standard deviation of general health score of the samples were 25.84±11.97. One way ANOVA test showed that general health scores at different levels of Internet addiction was significant (0.0001). Scores of physical impairment (0.0001), depressive disorder (0.002) and anxiety disorder (0.001) dimensions at different levels of Internet addiction showed a significant difference, but there were not significant difference in social functioning dimension. Conclusion: Results have revealed there is a reverse significant relation between internet addiction and general health; in other words internet addicted subjects had more inappropriate general health. Key Words: Internet, Behavior Addictive, Health Students Modern Care, Scientific Quarterly of Birj 166173 Received: November 10, 2011 Last Revised: January 27, 2012 Accepted: February 7, 2012 1 MSc of Midwifery Education, Department of Midwifery, Faculty of Nursing & Midwifery, Gonabad University of Medical Sciences, Gonabad, Iran 2 MSc of Psychological Health Nursing, Department of Nursing, Faculty of Nursing & Midwifery, Gonabad University of Medical Sciences, Gonabad, Iran 3 Corresponding Author, Student of Midwifery, Gonabad Students Research Committee, Gonabad University of Medical Sciences, Gonabad, Iran leylikhodadost@yahoo.com 4 BS in Nursing, Gonabad Students Research Committee, Gonabad University of Medical Sciences, Gonabad, Iran 5 MSc of Midwifery Education, Department of Midwifery, Faculty of Nursing & Midwifery, Gonabad University of Medical Sciences, Gonabad, Iran