Literature DB >> 24313733

Internet abusers associate with a depressive state but not a depressive trait.

Andrew Chih Wei Huang1, Huai-En Chen, Ying-Chou Wang, Le-Min Wang.   

Abstract

AIM: The present study investigated three issues: (i) whether Internet abusers display a depressive state without a depressive trait; (ii) which symptoms are shared between Internet abuse and depression; and (iii) which personality characteristics were shown in Internet abusers.
METHODS: Ninety-nine male and 58 female participants aged 18-24 years were screened with the Chen Internet Addiction Scale. After screening, subjects were separated into the high- (n = 73) and low-risk (n = 84) Internet abuser groups. Participants were respectively administered the Chinese version of the Beck Depression Inventory-II to assess a depressive state and the Minnesota Multiphasic Personality Inventory-2 to assess a depressive trait.
RESULTS: The present results showed that high-risk Internet abusers exhibited a stronger depressive state than low-risk Internet abusers in the Beck Depression Inventory-II. However, high-risk Internet abusers didnot show a depressive trait in the Minnesota Multiphasic Personality Inventory-2 compared to low-risk Internet abusers. Therefore, high-risk Internet abuse participants exhibited a depressive state without a depressive trait.
CONCLUSIONS: In a comparison of the symptoms of depression and Internet abuse, it was found that high-risk Internet abuse participants shared some common behavioral mechanisms with depression, including the psychiatric symptoms of loss of interest, aggressive behavior, depressive mood, and guilty feelings. High-risk Internet abuse participants may be more susceptible to a temporal depressive state but not a permanent depressive trait. The present findings have clinical implications for the prevention and treatment of Internet abuse.
© 2013 The Authors. Psychiatry and Clinical Neurosciences © 2013 Japanese Society of Psychiatry and Neurology.

Entities:  

Keywords:  Internet abuse; depressive state; depressive trait

Mesh:

Year:  2013        PMID: 24313733     DOI: 10.1111/pcn.12124

Source DB:  PubMed          Journal:  Psychiatry Clin Neurosci        ISSN: 1323-1316            Impact factor:   5.188


  3 in total

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Authors:  Lawrence T Lam
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Authors:  Nada A AlYousefi; Mohammed O AlRukban; Abdullah M AlMana; Talal H AlTukhaim; Basel A AlMeflh; Yazeed O AlMutairi; Omar S AlMogheer
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3.  Problematic internet use and psychiatric co-morbidity in a population of Japanese adult psychiatric patients.

Authors:  Hille T de Vries; Takashi Nakamae; Kenji Fukui; Damiaan Denys; Jin Narumoto
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  3 in total

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