Mayda, Atilla SenihYılmaz, MuammerBolu, FilizDağlı, Sinemis ÇetinGerçek, Gökçe ÇağdaşTeker, NurettinÖnder, Alper Doğan2020-04-302020-04-3020151309-3878https://hdl.handle.net/20.500.12684/3394Yilmaz, Muammer/0000-0002-8728-7635WOS: 000363103000002Objective: To determine the relationship between internet addiction and depression in students at a student hostel. Methods: The data of this descriptive study was collected with questionnaires applied to 698 of 1000 university students by face to face interview. Data was collected with Beck Depression Inventory and with the interview form that includes 15 questions about sociodemographic characteristics and 7 questions they were prepared using Goldberg's diagnostic criteria. Results: Among the participants 397 (56,9%) were diagnosed as Internet addicts. 61,4% of men and 51,6 %of women were internet addicts and the difference was significant (x(2)=6.90, p=0.009). Internet addiction was higher in the group over and at the age 19, then the group under 19 years (x(2)=5.07, p=0,024). 194 (80,5%) of 241 students they have 18 points and higher by Beck Depression Inventory were in the internet addicts group. Although 203 (44.4%) of 457 students they have 17 points and lower were prone to depression. BDI points were higher by the students they had chronic illness and they were to fail. Conclusion: According to BDI, internet addiction is most common by students they are prone to depression. The tendency to depression can be a cause or a consequent of internet addiction. Depression is not only associated with internet addiction. It can be related with chronic illness, losing relatives in the past year, satisfaction by faculty, school failure, and parents to be alive and together. Thus it must be researched if these are independent related with depression.trinfo:eu-repo/semantics/closedAccessInternetAddictionDepressionBeck Depression InventoryArticle71614N/A