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Prevalence and Psychiatric Comorbidities of Internet Addiction in a Nationwide Sample of Korean Adults

Overview of attention for article published in Psychiatry Investigation, November 2017
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Title
Prevalence and Psychiatric Comorbidities of Internet Addiction in a Nationwide Sample of Korean Adults
Published in
Psychiatry Investigation, November 2017
DOI 10.4306/pi.2017.14.6.879
Pubmed ID
Authors

Subin Park, Hong Jin Jeon, Jae Nam Bae, Su Jeong Seong, Jin Pyo Hong

Abstract

The goal of the study was to examine the prevalence and psychiatric comorbidities of Internet addiction in a nationwide sample of Korean adults. Among a total of 6,022 participants involved in Korean Epidemiological Catchment Area study in 2011, 3,723 Internet users were assessed for their Internet addiction using Young's 8-item Diagnostic Questionnaire. The results showed that of the 3,723 Internet users, 39 (1.0%) had Internet addiction. Addicted Internet users were younger, more likely to be males and unemployed compared to non-addicted Internet users. Internet addiction was associated with alcohol and nicotine use disorders, depressive disorders, and anxiety disorder after controlling for age, gender, and occupational status. Internet addiction was associated with suicidal plans even after controlling for psychiatric disorders and socio-demographic factors. This study showed that Internet addiction is highly associated with variety of different psychiatric disorders and suicidal plans. Therefore, clinicians should carefully evaluate them when treating addicted Internet users.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 85 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 14%
Other 10 12%
Researcher 9 11%
Student > Bachelor 7 8%
Student > Ph. D. Student 6 7%
Other 10 12%
Unknown 31 36%
Readers by discipline Count As %
Medicine and Dentistry 20 24%
Psychology 11 13%
Nursing and Health Professions 5 6%
Computer Science 3 4%
Social Sciences 3 4%
Other 8 9%
Unknown 35 41%