Internet addiction of students at the vocational high school of healthcare

Yıl 2014, , 23 - 25, 27.02.2015

Cihan Önen , Aygül Tunçdemir Ali Özer

https://doi.org/10.17678/beujst.76811

Cited By: 3

Öz

The aim of this study is to survey the internet addiction level of the students of Adıyaman University Health Vocational High School and to define the factors that affects it. The scope of descriptive research consists of 371 students of Adiyaman University Vocational School of Health Services. After the necessary permission from the related institute, to collect information from 1 to 20 December 2013 data were collected through face to face interviews. As a means of data collection; personal questionnaire and Internet addiction scale was used. In terms of statistical analyzes, the "Mann-Whitney U" test and Kruskal-Wallis H test were used. In this study, the frequency of problematic Internet use was found as 3.5% (8 people). A statistically significant relationship between Internet addiction and participants' gender, smoking status, employment status, the internet connection tool and the purpose of using it has been identified. The frequency of the avaluated students’ internet addiction was understood to be low.

Anahtar Kelimeler

Internet, addiction, students, Mann-Whitney U test, Kruskal-Wallis H test

Kaynakça

• Arısoy Ö (2009). Internet addiction and its treatment. Curr Approaches in Psychiatr 1, 55-67.
• Ayas T, Horzum M B (2013). Internet addiction and internet parental style of primary school. TPCGJ 4, 46-57.
• Balcı Ş, Gülnar B (2009). İnternet addiction among university students and the profile of internet addicts. J Selcuk Comm 6, 5-22.
• Canan F (2010). The association between internet addiction, dissociation, and socio-demographic features among college students. Faculty of Medicine, Department of Psychiatry, Medical Specialty Thesis, Duzce University.
• Çevik G B, Çelikkaleli Ö (2010). Adolescent’ friends attachment and internet addiction according to gender, perception parents attitudes and parents educational levels. J Çukurova Univ Inst Soc Sci 19, 225-240.
• Khang H, Kim J K, Kim Y (2013). Self-traits and motivations as antecedents of digital media flow and addiction: The Internet, mobile phones, and video games. Comput Human Behav 29, 2416–2424.
• Kuss D J, Griffiths M D, Binder J F (2013). Internet addiction in students: Prevalence and risk factors. Comput Human Behav 29, 959-966.
• Li X, Li D, Newman J (2013). Parental behavioral and psychological control and problematic internet use among chinese adolescents: the mediating role of self-control. Cyberpsychol Behav Soc Netw 16, 442-447.
• Oğuz B, Zayim N, Özel D, Saka O (2008). Online cognition of medical students. Çanakkale Onsekiz Mart University, Akademik Bilişim, 447- 453 pp., 30 Jan-1 Feb, 2008, Çanakkale, Turkey.
• Öztürk Ö, Odabaşıoğlu G, Eraslan D, Genç Y, Kalyoncu Ö A (2007). Internet addiction: clinical aspects and treatment strategies. J Depend 8, 36-41.
• Stavropoulos V, Alexandraki K, Motti-Stefanidi F V (2013). Recognizing internet addiction: prevalence and relationship to academic achievement in adolescents enrolled in urban and rural greek high schools. J Adolescence 36, 565–576.
• Şenormancı Ö, Konkan R, Sungur M Z (2010). Internet addiction and its cognitive behavioral therapy. Anatolian Psychiatr J 11, 261-268.
• Tsai H F, Cheng S H, Yeh T L, et al (2009). The risk factors of Internet addiction—A survey of university freshmen. Psychiatr Res 167, 294–299.
• Üneri Ö Ş, Tanıdır C (2011). Evaluation of internet addiction in a group of high school students: a cross-sectional study. Düşünen Adam J Psychiatry Neurol Sci 24, 265-272.
• Watters C A, Keefer K V, Kloosterman P H, Summerfeldt L J, Parker J D (2013). Examining the structure of the internet addiction test in adolescents: A bifactor approach. Comput Human Behav 29, 2294–2302.
• Young K (1995). The Center for Internet Addiction. http://netaddiction.com/internet-addiction-test/(Accessed on: 2014 Apr 25).
• Yadav P, Banwari G, Parmar C, Maniar R (2013). Internet addiction and its correlates among high school students: A preliminary study from Ahmedabad, India. Asian J Psychiatr 6, 500–505.