Psychiatry Investig.  2018 Apr;15(4):361-369. 10.30773/pi.2017.09.27.2.

Development and Validation Study of the Internet Overuse Screening Questionnaire

  • 1Department of Psychiatry, Depression Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
  • 2Department of Psychiatry, Seoul Medical Center, Seoul, Republic of Korea.
  • 3Department of Clinical Psychology, National Center for Mental Health, Seoul, Republic of Korea.
  • 4Department of Research Planning, Mental Health Research Institute, National Center for Mental Health, Seoul, Republic of Korea.
  • 5Department of Child Welfare, Kosin University, Busan, Republic of Korea.
  • 6Depression Clinical and Research Program, Massachusetts General Hospital, Harvard Medical School, Boston, USA.
  • 7Department of Health Sciences & Technology, Department of Medical Device Management & Research, and Department of Clinical Research Design & Evaluation, Samsung Advanced Institute for Health Sciences & Technology (SAIHST), Sungkyunkwan University, Seoul, Republic of Korea.


OBJECTIVE: Concerns over behavioral and emotional problems caused by excessive internet usage have been developed. This study intended to develop and a standardize questionnaire that can efficiently identify at-risk internet users through their internet usage habits.
Participants (n=158) were recruited at six I-will-centers located in Seoul, South Korea. From the initial 36 questionnaire item pool, 28 preliminary items were selected through expert evaluation and panel discussions. The construct validity, internal consistency, and concurrent validity were examined. We also conducted Receiver Operating Curve (ROC) analysis to assess diagnostic ability of the Internet Overuse Screening-Questionnaire (IOS-Q).
The exploratory factor analysis yielded a five factor structure. Four factors with 17 items remained after items that had unclear factor loading were removed. The Cronbach’s alpha for the IOS-Q total score was 0.91, and test-retest reliability was 0.72. The correlation between Young’s internet addiction scale and K-scale supported concurrent validity. ROC analysis showed that the IOS-Q has superior diagnostic ability with the Area Under the Curve of 0.87. At the cut-off point of 25.5, the sensitivity was 0.93 and specificity was 0.86.
Overall, this study supports the use of IOS-Q for internet addiction research and for screening high-risk individuals.


Problematic internet use; Behavioral addiction; Screening; Scale validation; Cut-off
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