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Internet Addiction and Sleeping Quality among College Students in West Turkey

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Author Affiliations

  • 1Medical Faculty Public Health Department, Eskisehir Osmangazi University, Turkey
  • 2Medical Faculty Public Health Department, İzmir Katip Celebi University, Turkey
  • 3Medical Faculty Public Health Department, Eskisehir Osmangazi University, Turkey
  • 4Medical Faculty Public Health Department, Eskisehir Osmangazi University, Turkey
  • 5Medical Faculty Public Health Department, Eskisehir Osmangazi University, Turkey
  • 6Medical Faculty Public Health Department, Eskisehir Osmangazi University, Turkey
  • 7Medical Faculty Public Health Department, Eskisehir Osmangazi University, Turkey
  • 8Medical Faculty Public Health Department, Eskisehir Osmangazi University, Turkey

Res. J.Educational Sci., Volume 4, Issue (7), Pages 1-8, August,1 (2016)

Abstract

The aim of this study was to determine internet addiction level, it’s related some factors and sleeping quality. This cross-sectional study was made among 508 students. A questionnaire form was filled by students under observed. Determination of internet addiction was used by Young Internet Addiction Scale (IAS). Determination of sleeping quality was used by Pittsburgh Sleeping Quality Index (PSQI). In statistical analyses, Mann-Whitney U test, Kruskal-Wallis test and Spearman Correlation Analysis were used. p<0.05 values were accepted as significance. The average score was 30.00±15.99 (min: 0; max: 89) from IAS. The high level of internet addiction was higher in male, high family income, A type character, over-weight/obese, his/ her mother with have a job, have computer at home, have computer own, have internet communication at computer/phone/ home out, first using computer age in 6 years old, everyday using internet user than the others (for each one; p<0.05). There are positive correlation between the scores of IAS and the scores of PSQI. Internet addiction is an important problem in the college students in this study group. This study, positive correlation was found between Internet addiction and poor quality of sleep.

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