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

Tan Lei 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

Tan Lei Shek, Vera M Y Tang, C. Y. Lo

Research output: Journal article publication › Journal article › Academic research › peer-review

87 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	TheScientificWorldJournal
Volume	8
DOIs	https://doi.org/10.1100/tsw.2008.104
Publication status	Published - 7 Aug 2008
Externally published	Yes

Keywords

Chinese adolescents
Internet addiction measurements
Internet use and activities

ASJC Scopus subject areas

Biochemistry, Genetics and Molecular Biology(all)
Environmental Science(all)
Medicine(all)

More information

10.1100/tsw.2008.104

Cite this

@article{84db7f80ab6f408da7a90a9c8abece81,

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.",

keywords = "Chinese adolescents, Internet addiction measurements, Internet use and activities",

author = "Shek, {Tan Lei} and Tang, {Vera M Y} and Lo, {C. Y.}",

year = "2008",

month = aug,

day = "7",

doi = "10.1100/tsw.2008.104",

language = "English",

volume = "8",

pages = "776--787",

journal = "The Scientific World Journal",

issn = "2356-6140",

publisher = "Hindawi Limited",

}

TY - JOUR

T1 - Internet addiction in Chinese adolescents in Hong Kong: Assessment, profiles, and psychosocial correlates

AU - Shek, Tan Lei

AU - Tang, Vera M Y

AU - Lo, C. Y.

PY - 2008/8/7

Y1 - 2008/8/7

N2 - 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.

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.

KW - Chinese adolescents

KW - Internet addiction measurements

KW - Internet use and activities

UR - http://www.scopus.com/inward/record.url?scp=50449089644&partnerID=8YFLogxK

U2 - 10.1100/tsw.2008.104

DO - 10.1100/tsw.2008.104

M3 - Journal article

C2 - 18690381

SN - 2356-6140

VL - 8

SP - 776

EP - 787

JO - The Scientific World Journal

JF - The Scientific World Journal

ER -

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

Abstract

Keywords

ASJC Scopus subject areas

More information

Other files and links

Fingerprint

Cite this