Internet addiction in Chinese adolescents in Hong Kong : assessment, profiles, and psychosocial correlates

Daniel T. L. SHEK; Vera M. Y. TANG; C. Y. LO

doi:10.1100/tsw.2008.104

Internet addiction in Chinese adolescents in Hong Kong : assessment, profiles, and psychosocial correlates

Daniel T. L. SHEK, Vera M. Y. TANG, C. Y. LO

Research output: Journal Publications › Journal Article (refereed) › peer-review

68 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	776-787
Number of pages	12
Journal	The Scientific World Journal
Volume	8
DOIs	https://doi.org/10.1100/tsw.2008.104
Publication status	Published - 7 Aug 2008
Externally published	Yes

Bibliographical note

The Youngster Internet Addiction Prevention and Counseling Service undertaken by the Jockey Club Wah Ming Lutheran Integrated Service Centre, Hong Kong Lutheran Social Service, LC-HKS was funded by the Community Chest of Hong Kong. Preparation for this paper was financially supported by the Wofoo Foundation Limited.

Keywords

Internet addiction measurements
Chinese adolescents
Internet use and activities

Access to Document

10.1100/tsw.2008.104

http://www.hindawi.com/journals/tswj/2008/491310/abs/

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title = "Internet addiction in Chinese adolescents in Hong Kong : assessment, profiles, and psychosocial correlates",

abstract = "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.",

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note = "The Youngster Internet Addiction Prevention and Counseling Service undertaken by the Jockey Club Wah Ming Lutheran Integrated Service Centre, Hong Kong Lutheran Social Service, LC-HKS was funded by the Community Chest of Hong Kong. Preparation for this paper was financially supported by the Wofoo Foundation Limited.",

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AU - LO, C. Y.

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AB - 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.

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