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. 2019 Jul 10;10:455.
doi: 10.3389/fpsyt.2019.00455. eCollection 2019.

Internet Addiction, Smartphone Addiction, and Hikikomori Trait in Japanese Young Adult: Social Isolation and Social Network

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Free PMC article

Internet Addiction, Smartphone Addiction, and Hikikomori Trait in Japanese Young Adult: Social Isolation and Social Network

Masaru Tateno et al. Front Psychiatry. .
Free PMC article

Abstract

Background: As the number of internet users increases, problems related to internet overuse are becoming more and more serious. Adolescents and youth may be particularly attracted to and preoccupied with various online activities. In this study, we investigated the relationship of internet addiction, smartphone addiction, and the risk of hikikomori, severe social withdrawal, in Japanese young adult. Methods: The subjects were 478 college/university students in Japan. They were requested to complete the study questionnaire, which consisted of questions about demographics, internet use, the Internet Addiction Test (IAT), the Smartphone Addiction Scale (SAS)-Short Version (SV), the 25-item Hikikomori Questionnaire (HQ-25), etc. We investigated the difference and correlation of the results between two groups based on the purpose of internet use or the total score of each self-rating scale, such as screened positive or negative for the risk of internet addiction, smartphone addiction, or hikikomori. Results: There was a trend that males favored gaming in their internet use while females used the internet mainly for social networking via smartphone, and the mean SAS-SV score was higher in females. Two-group comparisons between gamers and social media users, according to the main purpose of internet use, showed that gamers used the internet longer and had significantly higher mean IAT and HQ-25 scores. Regarding hikikomori trait, the subjects at high risk for hikikomori on HQ-25 had longer internet usage time and higher scores on both IAT and SAS-SV. Correlation analyses revealed that HQ-25 and IAT scores had a relatively strong relationship, although HQ-25 and SAS-SV had a moderately weak one. Discussion: Internet technology has changed our daily lives dramatically and altered the way we communicate as well. As social media applications are becoming more popular, users are connected more tightly to the internet and their time spent with others in the real world continues to decrease. Males often isolate themselves from the social community in order to engage in online gaming while females use the internet as to not be excluded from their communications online. Mental health providers should be aware of the seriousness of internet addictions and hikikomori.

Keywords: behavioral addiction; hikikomori; internet addiction; smartphone addiction; social withdrawal.

Figures

Figure 1
Figure 1
Correlation of Internet Addiction Test (IAT) (51) score and Smartphone Addiction Scale–Short Version (SAS-SV) (17) score. The correlation coefficient was 0.6931 (95% confidence interval, 0.6439 − 0.7366, p < 0.00001).
Figure 2
Figure 2
Correlation of SAS-SV (17) score and 25-item Hikikomori Questionnaire (HQ-25) (52). The correlation coefficient was 0.1636 (95% confidence interval, 0.0758 − 0.2488, p = 0.00029).
Figure 3
Figure 3
Correlation of IAT (51) score and HQ-25 (52). The correlation coefficient was 0.3905 (95% confidence interval, 0.3125 − 0.4633, p < 0.00001).

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References

    1. MIAC Information and Information Communications Technology. Available: http://www.soumu.go.jp/english/ (2017).
    1. Shaw M, Black DW. Internet addiction: definition, assessment, epidemiology and clinical management. CNS Drugs (2008) 22(5):353–65. 10.2165/00023210-200822050-00001 - DOI - PubMed
    1. Aboujaoude E. Problematic internet use: an overview. World Psychiatry (2010) 9(2):85–90. 10.1002/j.2051-5545.2010.tb00278.x - DOI - PMC - PubMed
    1. Kuss DJ, Griffiths MD, Karila L, Billieux J. Internet addiction: a systematic review of epidemiological research for the last decade. Curr Pharm Des (2014) 20(25):4026–52. 10.2174/13816128113199990617 - DOI - PubMed
    1. Young KS. The evolution of internet addiction. Addict Behav (2017) 64:229–30. 10.1016/j.addbeh.2015.05.016 - DOI - PubMed

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