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Urbanization and Internet addiction in a nationally representative sample of adult community residents in Japan: A cross-sectional, multilevel study

  • Naonori Yasuma
  • , Kazuhiro Watanabe
  • , Daisuke Nishi
  • , Hanako Ishikawa
  • , Hisateru Tachimori
  • , Tadashi Takeshima
  • , Maki Umeda
  • , Laura Sampson
  • , Sandro Galea
  • , Norito Kawakami
  • The University of Tokyo
  • National Center of Neurology and Psychiatry Kodaira
  • National Center for Global Health and Medicine
  • Kawasaki City Center for Mental Health and Welfare
  • University of Hyogo
  • Boston University

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

This study examines the relationship between urbanization and Internet addiction (IA) and association with other psychopathology and social support, in a nationally representative sample in Japan. Data from the World Mental Health Japan Second Survey were used. There were 2450 survey respondents, with an average response rate of 43.4%. Respondents’ living areas were divided into three groups on the basis of urbanization (operationalized as city size). IA was measured using the Compulsive Internet Use Scale (CIUS). Three variables — psychological distress, past-12-month mental disorder, and social support — were measured using established instruments. A multilevel model was conducted to clarify the association between urbanization and IA (continuous scores and prevalence), before and after adjusting for possible individual-level and area-level variables and demographic variables. CIUS scores were significantly higher in large cities than in small municipalities before adjusting for psychological distress, social support, and past-12-month mental disorder. After adjustment, these associations attenuated substantially: urbanization was no longer significantly associated with odds of mild/severe IA, while the relationship held for continuous CIUS scores. Thus, residence in large cities is associated with higher odds of IA in Japan; psychological distress, social support, and past-12-month mental disorder partly explain this association.

Original languageEnglish
Pages (from-to)699-705
Number of pages7
JournalPsychiatry Research
Volume273
DOIs
StatePublished - Mar 2019

Keywords

  • Hierarchical model
  • Large cities
  • Prevalence
  • Psychological distress
  • Social support

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