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Smartphone Addiction in Japanese College Students: Usefulness of the Japanese Version of the Smartphone Addiction Scale as a Screening Tool for a New Form of Internet Addiction

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ObjectiveaaSmartphone use is pervasive among youth in Japan, as with many other countries, and is associated with spending time online and on social media anywhere at any time. This study aimed to test a Japanese version of the Smartphone Addiction Scale-Short Version (SAS-SV) among Japanese college students. MethodsaaThe subjects of this study were 602 college students in Japan. The study questionnaire consisted of questions about demographics (age, gender etc.), possession of a smartphone, internet use [length of internet use on weekdays and weekend, favorite social networking service (SNS) etc.], Young’s Internet Addiction Test (IAT), and the Smartphone Addiction Scale-Short Version (SAS-SV) translated into Japanese. ResultsaaThere was a total of 573 respondents (180 male, 393 female) who completed the questionnaire (mean 19.3±1.3 years). LINE was the most popular social media platform (52.0%) followed by Twitter (36.3%). The overall Internet Addiction Test (IAT) score was 45.3±13.2, with 4.5% classified as having severe addiction (IAT ≥70). The mean SAS-SV scores were 24.4±10.0 for males and 26.8±9.9 for females. Based on proposed cutoff scores, 22.8% of males and 28.0% of females screened positive for smartphone addiction. The total scores of the SAS-SV and the IAT was correlated significantly. ConclusionaaAs the number of smartphone users becomes higher, problems related to smartphone use also become more serious. Our results suggest that the Japanese version of SAS-SV may assist in early detection of problematic use of smartphones.

Abstract

ObjectiveaaSmartphone use is pervasive among youth in Japan, as with many other countries, and is associated with spending time online and on social media anywhere at any time. This study aimed to test a Japanese version of the Smartphone Addiction Scale-Short Version (SAS-SV) among Japanese college students. MethodsaaThe subjects of this study were 602 college students in Japan. The study questionnaire consisted of questions about demographics (age, gender etc.), possession of a smartphone, internet use [length of internet use on weekdays and weekend, favorite social networking service (SNS) etc.], Young’s Internet Addiction Test (IAT), and the Smartphone Addiction Scale-Short Version (SAS-SV) translated into Japanese. ResultsaaThere was a total of 573 respondents (180 male, 393 female) who completed the questionnaire (mean 19.3±1.3 years). LINE was the most popular social media platform (52.0%) followed by Twitter (36.3%). The overall Internet Addiction Test (IAT) score was 45.3±13.2, with 4.5% classified as having severe addiction (IAT ≥70). The mean SAS-SV scores were 24.4±10.0 for males and 26.8±9.9 for females. Based on proposed cutoff scores, 22.8% of males and 28.0% of females screened positive for smartphone addiction. The total scores of the SAS-SV and the IAT was correlated significantly. ConclusionaaAs the number of smartphone users becomes higher, problems related to smartphone use also become more serious. Our results suggest that the Japanese version of SAS-SV may assist in early detection of problematic use of smartphones.

참고문헌 (39)

  1. Information and Communications Bureau, "Information and Information Communications Technology", Japan Ministry of Internal Affairs and Communications, ~ (2017)
  2. de Vries HT, "Problematic internet use and psychiatric co-morbidity in a population of Japanese adult psychiatric patients", BMC Psychiatry, 18, pp.9~ (2018)
  3. Tateno M, "Internet addiction and self-evaluated attention-deficit hyperactivity disorder traits among Japanese college students", Psychiatry Clin Neurosci, 70, pp.567~572 (2016)
  4. Vondrackova P, "Prevention of Internet addiction : A systematic review", J Behav Addict, 5, pp.568~579 (2016)
  5. Cerniglia L, "Internet Addiction in adolescence : Neurobiological, psychosocial and clinical issues", Neurosci Biobehav Rev, 76, pp.174~184 (2017)
  6. Kawabe K, "Internet addiction : Prevalence and relation with mental states in adolescents", Psychiatry Clin Neurosci, 70, pp.405~412 (2016)
  7. So R, "The prevalence of internet addiction among a Japanese adolescent psychiatric clinic sample with autism spectrum disorder and", or attentiondeficit hyperactivity disorder : a cross-sectional study, 2017, pp.47, 2217~2224
  8. Ho RC, "The association between internet addiction and psychiatric co-morbidity : a metaanalysis", BMC Psychiatry, 14, pp.183~ (2014)
  9. Wang BQ, "The association between attention deficit", hyperactivity disorder and internet addiction : a systematic review and meta-analysis, 2017, pp.17, 260~
  10. Jurgensen M, "Psychosexual development in adolescents and adults with disorders of sex development-results from the German clinical evaluation study", J Sex Med, 10, pp.2703~2714 (2013)
  11. Kato TA, "Can Pokemon GO rescue shut-ins (hikikomori) from their isolated world?", Psychiatry Clin Neurosci, 71, pp.75~76 (2017)
  12. Tateno M, "New game software(Pokemon Go)may help youth with severe social withdrawal, hikikomori", Psychiatry Res, 246, pp.848~849 (2016)
  13. Elhai JD, "Problematic smartphone use : a conceptual overview and systematic review of relations with anxiety and depression psychopathology", J Affect Disord, 207, pp.251~259 (2017)
  14. Kwon M, "Development and validation of a smartphone addiction scale (SAS)", PLoS One, 8, pp.e56936~ (2013)
  15. Lin YH, "Development and validation of the Smartphone Addiction Inventory (SPAI)", PLoS One, 9, pp.e98312~ (2014)
  16. Matar Boumosleh J, "Depression, anxiety, and smartphone addiction in university students-A cross sectional study", PLoS One, 12, pp.e0182239~ (2017)
  17. Aker S, "Psychosocial Factors Affecting Smartphone Addiction in University Students", J Addict Nurs, 28, pp.215~219 (2017)
  18. Chen B, "Gender differences in factors associated with smartphone addiction : a cross-sectional study among medical college students", BMC Psychiatry, 17, pp.341~ (2017)
  19. Khoury JM, "Assessment of the accuracy of a new tool for the screening of smartphone addiction", PLoS One, 12, pp.e0176924~ (2017)
  20. Davey S, "Assessment of smartphone addiction in Indian adolescents : a mixed method study by systematic-review and meta-analysis approach", Int J Prev Med, 5, pp.1500~1511 (2014)
  21. Haug S, "Smartphone use and smartphone addiction among young people in Switzerland", J Behav Addict, 4, pp.299~307 (2015)
  22. Lopez-Fernandez O, "Short version of the smartphone addiction scale adapted to Spanish and French : towards a cross-cultural research in problematic mobile phone use", Addict Behav, 64, pp.275~280 (2017)
  23. Ching SM, "Validation of a Malay Version of the smartphone addiction scale among medical students in Malaysia", PLoS One, 10, pp.e0139337~ (2015)
  24. Lin YH, "Development of short-form and screening cutoff point of the Smartphone Addiction Inventory (SPAISF)", Int J Methods Psychiatr Res, 26 (2017)
  25. Kwon M, "The smartphone addiction scale : development and validation of a short version for adolescents", PLoS One, 8, pp.e83558~ (2013)
  26. Kim D, "Development of Korean smartphone addiction proneness scale for youth", PLoS One, 9, pp.e97920~ (2014)
  27. Young KS, "Caught in the Net: How to Recognize the Signs of Internet Addiction- and a Winning Strategy for Recovery" (1998), Wiley
  28. Aboujaoude E, "Problematic Internet use : an overview", World Psychiatry, 9, pp.85~90 (2010)
  29. Tateno M, "Prevalence rate of internet addiction among Japanese college students : two cross-sectional studies and reconsideration of cut-off points of young’s internet addiction test in Japan", Psychiatry Clin Neurosci, 72, pp.723~730 (2018)
  30. Mak KK, "Cross-cultural adaptation and psychometric properties of the Korean Scale for Internet Addiction(K-Scale)in Japanese high school students", Psychiatry Res, 249, pp.343~348 (2017)
  31. A survey on the internet use environment, "LINE", LINE Inc, ~ (2017)
  32. Jorgenson AG, "Internet addiction and other behavioral addictions", Child Adolesc Psychiatr Clin N Am, 25, pp.509~520 (2016)
  33. Lewis P, "'Our Minds can be Hijacked': the Tech Insiders who Fear a Smartphone Dystopia", The Guardian, Guardian Media Group, ~ (2017)
  34. Ryan T, "The uses and abuses of Facebook : a review of Facebook addiction", J Behav Addict, 3, pp.133~148 (2014)
  35. Brailovskaia J, "Facebook Addiction Disorder(FAD)among German students-A longitudinal approach", PLoS One, 12, pp.e0189719~ (2017)
  36. Casale S, "Why narcissists are at risk for developing Facebook addiction : the need to be admired and the need to belong", Addict Behav, 76, pp.312~318 (2018)
  37. Andreassen CS, "Development of a Facebook addiction scale", Psychol Rep, 110, pp.501~517 (2012)
  38. Lin YH, "Proposed diagnostic criteria for smartphone addiction", PLoS One, 11, pp.e0163010~ (2016)
  39. Lin YH, "Incorporation of Mobile Application(App)measures into the diagnosis of smartphone addiction", J Clin Psychiatry, 78, pp.866~872 (2017)

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