• Users Online: 125
  • Home
  • Print this page
  • Email this page
Home Current issue Archives Ahead of print Search Subscribe Instructions Submit article About us Editorial board Contacts Login 
Year : 2022  |  Volume : 43  |  Issue : 3  |  Page : 149-154

Psychiatric symptoms associated with internet addiction among Suez Canal University students

Department of Psychiatry & Neurology, Faculty of Medicine, Suez Canal University, Ismailia, Egypt

Correspondence Address:
PhD Haydy Hassan
Department of Psychiatric and Neurological Diseases, Faculty of Medicine, Suez Canal University, Ismailia City
Login to access the Email id

Source of Support: None, Conflict of Interest: None

DOI: 10.4103/ejpsy.ejpsy_50_21

Rights and Permissions

Objective Until now, there are debates on existence and classification of internet addiction and if it is an independent mental disorder or a symptom of other mental disorders. Therefore, in the current study, we tried to assess the association of psychiatric symptoms with internet addiction among Suez Canal University students to enhance understanding of psychiatric symptoms as risk factors for internet addiction. Thus, preventive and treatment measures could be taken. Patients and methods One-hundred students were assessed in a cross-sectional case–control study using clinical interview and internet-addiction test for internet addiction and Mini International Neuropsychiatric Interview Scale for psychiatric symptoms. Results Our results revealed that depression, social phobia, obsessions, obsessive–compulsive disorder (OCD), bulimia nervosa, and psychosis are significantly associated with internet addiction. However, logistic-regression analysis revealed that depression, social phobia, obsessions, and OCD are the only predictors of internet addiction with the presence of obsessions as the most powerful predictor. Conclusion Students who have obsessions, OCD, social phobia, and depression could be more vulnerable to internet addiction. Thus, treatment and preventive approaches targeting those symptoms or disorders are important for clinicians to know because they could be helpful in reduction of the big problem of internet addiction.

Print this article     Email this article
 Next article
 Previous article
 Table of Contents

 Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
 Citation Manager
 Access Statistics
 Reader Comments
 Email Alert *
 Add to My List *
 * Requires registration (Free)

 Article Access Statistics
    PDF Downloaded59    
    Comments [Add]    

Recommend this journal