Erciyes Üniversitesi öğrencilerinde İnternet bağımlılığı ve depresyon düzeyleri

Amaç: Bu araştırma, üniversite öğrencilerinde İnternet bağımlılığı ve depresif belirti düzeylerini, çeşitli sosyodemografik faktörlerin bu düzeylere etkisini ve İnternet bağımlılığı ile depresif belirti düzeyleri arasındaki ilişkiyi incelemek amacıyla yapılmıştır.Yöntem: Araştırma, Erciyes Üniversitesi'ne bağlı Tıp, Mühendislik ve İktisadi ve İdari Bilimler Fakültelerinde, 2015 yılında yapıldı. Toplam 1288 öğrenci araştırma kapsamına alındı. Araştırma verileri, 27 sorudan oluşan sosyo-demografik anket formu, İnternet Bağımlılık Ölçeği (İBÖ) ve Beck Depresyon Ölçeği (BDÖ) yardımıyla toplandı. Öğrenciler, araştırmacılar tarafından sınıflarında ziyaret edilerek araştırma hakkında bilgilendirildi. Anketler ve ölçekler, araştırmacıların gözetimi altında öğrenciler tarafından doldurulduktan sonra toplanmıştır.Bulgular: Araştırma grubunda, ortalama BDÖ puanı 12.1±9.1, ortalama İBÖ puanı 27.7±14.7 bulunmuştur. Öğrencilerin %26.4'ünde depresif belirti, %0.2'sinde İnternet bağımlılığı, %7.5'inde ise sınırlı İnternet bağımlılığı belirtileri belirlenmiştir. İBÖ puanları erkeklerde, BDÖ puanları ise kadınlarda daha yüksek bulunmuştur. İBÖ ve BDÖ puanları arasında pozitif yönde ilişki bulunmuştur (r=0.325, p

Internet Addiction and Depression Levels in Erciyes University Students

Objective: The study was carried out to determine Internet addiction and depression levels among university students, the effects of some socio-demographic factors on these levels, and association between Internet addiction and depressive symptom levels. Method: This descriptive study was performed in Schools of Medicine, Engineering, and Economics and Administrative Sciences Erciyes University in 2015. A total of 1288 students were included in the study. Data were collected via socio-demographic questionnaire of 27 questions, Internet Addiction Scale (IAS), and Beck Depression Inventory (BDI). The students were visited in their classrooms and informed about the study by the researchers. The questionnaires and scales were collected after being filled in by the students, under the supervision of the researchers.Results: Mean IAS and BDI scores were calculated as 12.1±9.1 and 27.7±14.7, respectively. Depressive symptoms were found in 26.4% of the students whereas, Internet addiction in 0.2% and limited symptoms of Internet addiction in 7.5%. Mean IAS score was found higher among men, whereas mean BDI score was higher among women. A significant correlation was found between IAS and BDI scores (r=0.325, p

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  • 1. Young KS. Internet addiction: a new clinical phenomenon and its consequences. Am Behav Sci 2004; 48:402-415. [CrossRef]
  • 2. Panayides P, Walker MJ. Evaluation of the psychometric properties of the Internet addiction test (IAT) in a sample of Cypriot high school students: the rasch measurement perspective. Eur J Psychol 2012; 8:327-351. [CrossRef]
  • 3. Nichols LA, Nicki R. Development of a psychometrically sound Internet addiction scale: a preliminary step. Psychol Addict Behav 2004; 18:381-384. [CrossRef]
  • 4. Gunuc S, Kayri M. The profile of Internet addiction in Turkey and development of Internet addiction scale: study of validity and reliability. Hacettepe University Journal of Education 2010; 39:220-232. (Turkish)
  • 5. 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 2013; 55:140-143. [CrossRef]
  • 6. Dalbudak E, Evren C, Aldemir S, Coskun KS, Ugurlu H, Yildirim FG. Relationship of Internet addiction severity with depression, anxiety, and alexithymia, temperament and character in university students. Cyberpsychol Behav Soc Netw 2013; 16:272-278. [CrossRef]
  • 7. Mayda AS, Yilmaz M, Bolu F, Dagli SC, Gercek GC, Teker N, Tiryaki S, Toygar G, Turkarslan M, Uslu AM, Usturali E, Yamansavci E, Yardimci N, Onder AD. Internet addiction and Beck Depression Inventory in the university students at a student hostel. Konuralp Medical Journal 2015; 7:6-14. (Turkish)
  • 8. Block JJ. Issues for DSM-V: Internet addiction. Am J Psychiatry 2008; 165:306-307. [CrossRef]
  • 9. King DL, Delfabbro PH. The cognitive psychology of Internet gaming disorder. Clin Psychol Review 2014; 34: 298-308. [CrossRef]
  • 10. Weinstein A, Lejoyeux M. Internet addiction or excessive Internet use. Am J Drug Alcohol Abuse 2010; 36:277-283. [CrossRef]
  • 11. Carli V, Durkee T, Wasserman D, Hadlaczky G, Despalins R, Kramarz E, Wasserman C, Sarchiapone M, Hoven CW, Brunner R, Kaess M. The association between pathological Internet use and comorbid psychopathology: a systematic review. Psychopathology 2013; 46:1-13. [CrossRef]
  • 12. Gunay O, Akpinar F, Poyrazoglu S, Aslaner H. Prevalence of depression among Turkish University Students and related factors. Turkish Journal of Public Health 2011; 9:133-143.
  • 13. Young KS. Internet addiction: the emergence of a new clinical disorder. Cyberpsychol Behav 1998; 1:237-244. [CrossRef]
  • 14. Bayraktar F. The role of the Internet use on the development of adolescents. Unpublished master’s thesis, Ege University Institute of Social Sciences, Izmir, 2001. (Turkish)
  • 15. Beck AT, Ward CH, Mendelson M, Mock J, Erbaugh J. An inventory for measuring depression. Arch Gen Psychiatry 1961; 4:561-571. [CrossRef]
  • 16. Hisli-Sahin N. A study on validity of Beck Depression Inventory. Turkish Journal of Psychology 1988; 6:118-126. (Turkish)
  • 17. Gezer B, Sevim Y. The effects of Internet use of high schools teachers on their vocational development (Elazig province sample). Journal of East Anatolian Region Studies 2006; 5:79-84. (Turkish)
  • 18. Ceyhan AA. Predictors of problematic Internet use on Turkish university students. Cyberpsychol Behav 2008; 11:363-366. [CrossRef]
  • 19. Kir I, Sulak S. Determining Internet addiction level of faculty of education students. Electronic Journal of Social Sciences 2014; 13:150-167. [CrossRef] (Turkish)
  • 20. Ni X, Yan H, Chen S, Liu Z. Factors influencing Internet addiciton in a sample of freshmen university students in China. Cyberpsychol Behav 2009; 12:327-330. [CrossRef]
  • 21. Tel M, Koksalan B. Internet, a new leisure activity nowadays: lecturer sample. Electronic Journal of Social Sciences 2009; 8:262-272. (Turkish)
  • 22. Yen JY, Ko CH, Yen CF, Chen SH, Chung WL, Chen CC. Psychiatric symptoms in adolescents with Internet addiction: comparison with substance use. Psychiatry Clin Neurosci 2008; 62:9-16. [CrossRef]
  • 23. Bolukbas K, Yildiz MC. Use of Internet and inequality of woman-man. Dumlupinar University Journal of Social Sciences 2005; 12:103-112. (Turkish)
  • 24. Balta-Cakir O, Horzum MB. The factors that affect Internet addiction of students in a web based learning environment. Ankara University Journal of Faculty of Educational Sciences 2008; 41:187-205. (Turkish)
  • 25. Fidancioglu H, Beydag KD, Ozer F, Kizilkaya M. University school for health sciences students’ opinions about Internet using. Science and Art Journal of Maltepe University Nursery 2009; 2:3-9. (Turkish)
  • 26. Kelleci M, Guler N, Sezer H, Golbasi Z. Relationships gender and psychiatric symptoms with duration of Internet use among high school students. TAF Preventive Medicine Bulletin 2009; 8:223- 230. (Turkish)
  • 27. Younes F, Halawi G, Jabbour H, El Osta N, Karam L, Hajj A, Rabbaa-Khabbaz L. Internet addiction and relationships with insomnia, anxiety, depression, stress and self-esteem in university students: a cross-sectional designed study. PLoS ONE 2016; 11:e0161126. [CrossRef]
  • 28. Usta E, Bozdogan AE, Yildirim K. Evaluating elementary preservice teachers’ attitudes toward Internet use. Journal of Ahi Evran University Kirsehir School of Education 2007; 8:209-222. (Turkish)
  • 29. Lam LT, Peng Z, Mai J, Jing J. The association between Internet addiction and self-injurious behaviour among adolescents, Inj Prev 2009; 15:403-408. [CrossRef]
  • 30. Jackson LA, von Eye A, Biocca FA, Barbatsis G, Fitzgerald HE, Zhao Y. Personality, cognitive style, demographic characteristics and Internet use-findings from the HomeNetToo project. Swiss J Psychol 2003; 62:79-90. [CrossRef]
  • 31. Boonvisudhi T, Kuladee S. Association between Internet addiction and depression in Thai medical students at faculty of medicine, Ramathibodi Hospital. PLoS ONE 2017; 12:e0174209. [CrossRef]
  • 32. Orsal O, Orsal O, Unsal A, Ozalp SS. Evaluation of Internet addiction and depression among university students. Procedia Soc Behav Sci 2013; 82:445-454. [CrossRef]
  • 33. Yen JY, Ko CH, Yen CF, Wu HY, Yang MJ. The comorbid psychiatric symptoms of Internet addiction: attention deficit and hyperactivity disorder (ADHD), depression, social phobia, and hostility. J Adolesc Health 2007; 41:93-98. [CrossRef]
  • 34. Khoshakhlagh H, Faramarzi S. The relationship of emotional intelligence and mental disorders with Internet addiction in Internet users univerity students. Addict Health 2012; 4:133-141.
  • 35. Thatcher A, Goolam S. Development and psychometric properties of the problematic Internet use questionnaire. S Afr J Psychol 2005; 35:793-804. [CrossRef]
  • 36. Ceyhan AA. Predictors of Adolescents’ Problematic Internet Use Levels. Turk J Child Adolesc Ment Health 2011; 18:85-94. (Turkish)
  • 37. Buyuksahin Cevik G, Yildiz MA. The roles of perceived social support, coping, and loneliness in predicting Internet addiction in adolescents. Journal of Educatiion and Practice 2017; 8: 64-73.
Düşünen Adam - Psikiyatri ve Nörolojik Bilimler Dergisi-Cover
  • ISSN: 1018-8681
  • Yayın Aralığı: Yılda 4 Sayı
  • Başlangıç: 1984
  • Yayıncı: Kare Yayıncılık