Document Detail


Internet addiction in Chinese adolescents in Hong Kong: assessment, profiles, and psychosocial correlates.
MedLine Citation:
PMID:  18690381     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Internet addiction behavior was examined in 6,121 Chinese primary and secondary school students in Hong Kong based on the assessment frameworks of Ivan Goldberg and Kimberly Young. Results showed that scales derived from both frameworks (CIA-Goldberg Scale and CIA-Young Scale) were internally consistent and evidence supporting their validity was found. Descriptive statistical analyses revealed that roughly one-fifth of the respondents could be classified as Internet addicted based on either scale. Further analyses showed that Internet-addicted and -nonaddicted respondents differed in their Internet use and related behavior. Logistic regression analyses showed that engagement in certain on-line activities (such as playing on-line games and downloading software) and replacement of pastimes activities (such as watching TV and going out with friends) with Internet activities predicted a higher probability of Internet addiction.
Authors:
Daniel T L Shek; Vera M Y Tang; C Y Lo
Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2008-08-07
Journal Detail:
Title:  TheScientificWorldJournal     Volume:  8     ISSN:  1537-744X     ISO Abbreviation:  ScientificWorldJournal     Publication Date:  2008  
Date Detail:
Created Date:  2008-08-11     Completed Date:  2008-10-10     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101131163     Medline TA:  ScientificWorldJournal     Country:  England    
Other Details:
Languages:  eng     Pagination:  776-87     Citation Subset:  IM    
Affiliation:
Centre for Quality of Life, Hong Kong Institute of Asia-Pacific Studies, The Chinese University of Hong Kong. danielshek@cuhk.edu.hk
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MeSH Terms
Descriptor/Qualifier:
Adolescent
Behavior, Addictive*
Child
Female
Hong Kong
Humans
Internet*
Logistic Models
Male
Psychology*
Psychometrics
Questionnaires

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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