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Journal Article

Citation

Park S, Hong KE, Park EJ, Ha KS, Yoo HJ. Aust. N. Zeal. J. Psychiatry 2013; 47(2): 153-159.

Affiliation

1Division of Child and Adolescent Psychiatry, Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea.

Comment In:

Aust N Z J Psychiatry 2013;47(2):185-6.

Copyright

(Copyright © 2013, Royal Australian and New Zealand College of Psychiatrists, Publisher SAGE Publishing)

DOI

10.1177/0004867412463613

PMID

23047959

Abstract

OBJECTIVE: This study used a sample of Korean adolescents to evaluate: (a) associations between problematic internet use and depression, bipolar disorder symptoms and suicidal ideation; and (b) whether mood disorders mediate the relationship between problematic internet use and suicidal ideation. METHOD: A total of 795 middle and high school students were recruited (538 girls; mean age, 13.87 ± 1.51 years). The Internet Addiction Proneness Scale for Youth-Short Form (KS-scale) was used to evaluate the presence and severity of problematic internet use. The frequencies of depression, suicidal ideation and probable bipolar disorder were compared between adolescents with and without internet addiction. The associations between the severity of problematic internet use and the severity of depressive symptoms, bipolar symptoms and suicidal ideation were also analyzed. RESULTS: Seventy-five adolescents (9.4%) met the criteria for problematic internet use. The presence of problematic internet use was significantly associated with suicidal ideation (OR = 5.82, 95% CI = 3.30-10.26, p < 0.001) as well as depression (OR = 5.00, 95% CI = 2.88-8.66, p < 0.001). There was a marginally significant association between problematic internet use and probable bipolar disorder (OR = 3.05, 95% CI = 0.96-9.69, p = 0.059). In the path model, problematic internet use significantly predicted depressive symptoms (β = 0.296, 95% CI = 0.214-0.367, p = 0.005), which predicted suicidal ideation (β = 0.699, 95% CI = 0.631-0.751, p = 0.009). Problematic internet use also predicted suicidal ideation directly (β = 0.115, 95% CI = 0.052-0.193, p = 0.006). Conversely, depressive symptoms (β = 0.119, 95% CI = -0.005-0.219, p = 0.040) and suicidal ideation (β = 0.215, 95% CI = 0.089-0.346, p = 0.005) predicted problematic internet use. CONCLUSIONS: There is a complex transactional relationship between problematic internet use, depressive symptoms, bipolar symptoms and suicidal ideation, so these conditions must be assessed together during the evaluation of adolescents. Prospective studies are warranted to elucidate the causal relationships between problematic internet use, mood symptoms and suicidal ideation.


Language: en

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