Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/6271
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dc.contributorDepartment of Applied Social Sciences-
dc.creatorShek, DTL-
dc.creatorYu, L-
dc.date.accessioned2014-12-11T08:25:09Z-
dc.date.available2014-12-11T08:25:09Z-
dc.identifier.issn2356-6140-
dc.identifier.urihttp://hdl.handle.net/10397/6271-
dc.language.isoenen_US
dc.publisherHindawi Publishing Corporationen_US
dc.rightsCopyright © 2012 Daniel T. L. Shek and Lu Yu. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en_US
dc.subjectAdolescenten_US
dc.subjectChilden_US
dc.subjectInterneten_US
dc.subjectBehavioren_US
dc.subjectSocioeconomic factorsen_US
dc.titleInternet addiction phenomenon in early adolescents in Hong Kongen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage1-
dc.identifier.epage9-
dc.identifier.volume2012-
dc.identifier.doi10.1100/2012/104304-
dcterms.abstractThe present study investigated the prevalence and demographic correlates of Internet addiction in Hong Kong adolescents as well as the change in related behavior at two time points over a one-year interval. Two waves of data were collected from a large sample of students (Wave 1: 3,328 students, age = 1 2 . 5 9 ± 0 . 7 4 years; Wave 2: 3,580 students, age = 1 3 . 5 0 ± 0 . 7 5 years) at 28 secondary schools in Hong Kong. Comparable to findings at Wave 1 (26.4%), 26.7% of the participants met the criterion of Internet addiction at Wave 2 as measured by Young’s 10-item Internet Addiction Test. The behavioral pattern of Internet addiction was basically stable over time. While the predictive effects of demographic variables including age, gender, family economic status, and immigration status were not significant, Internet addictive behaviors at Wave 1 significantly predicted similar behaviors at Wave 2. Students who met the criterion of Internet addiction at Wave 1 were 7.55 times more likely than other students to be classified as Internet addicts at Wave 2. These results suggest that early detection and intervention for Internet addiction should be carried out.-
dcterms.accessRightsopen access-
dcterms.bibliographicCitationThe scientific world journal, 2012, v. 2012, 104304, p. 1-9-
dcterms.isPartOfThe scientific world journal-
dcterms.issued2012-
dc.identifier.isiWOS:000307471100001-
dc.identifier.scopus2-s2.0-84863742955-
dc.identifier.pmid22778694-
dc.identifier.eissn1537-744X-
dc.description.oaVersion of Record-
dc.identifier.FolderNumbera0636-n128-
dc.description.pubStatusPublished-
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