Internet Addiction Phenomenon in Early Adolescents in Hong Kong

The 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...

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Main Authors: Daniel T. L. Shek, Lu Yu
Format: Article
Language:English
Published: Hindawi Limited 2012-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1100/2012/104304
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spelling doaj-fc796b733b9f492a9dcb6d46abe1cfb02020-11-24T21:24:18ZengHindawi LimitedThe Scientific World Journal1537-744X2012-01-01201210.1100/2012/104304104304Internet Addiction Phenomenon in Early Adolescents in Hong KongDaniel T. L. Shek0Lu Yu1Department of Applied Social Sciences, The Hong Kong Polytechnic University, Hong KongDepartment of Applied Social Sciences, The Hong Kong Polytechnic University, Hong KongThe 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 =12.59±0.74 years; Wave 2: 3,580 students, age =13.50±0.75 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.http://dx.doi.org/10.1100/2012/104304
collection DOAJ
language English
format Article
sources DOAJ
author Daniel T. L. Shek
Lu Yu
spellingShingle Daniel T. L. Shek
Lu Yu
Internet Addiction Phenomenon in Early Adolescents in Hong Kong
The Scientific World Journal
author_facet Daniel T. L. Shek
Lu Yu
author_sort Daniel T. L. Shek
title Internet Addiction Phenomenon in Early Adolescents in Hong Kong
title_short Internet Addiction Phenomenon in Early Adolescents in Hong Kong
title_full Internet Addiction Phenomenon in Early Adolescents in Hong Kong
title_fullStr Internet Addiction Phenomenon in Early Adolescents in Hong Kong
title_full_unstemmed Internet Addiction Phenomenon in Early Adolescents in Hong Kong
title_sort internet addiction phenomenon in early adolescents in hong kong
publisher Hindawi Limited
series The Scientific World Journal
issn 1537-744X
publishDate 2012-01-01
description The 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 =12.59±0.74 years; Wave 2: 3,580 students, age =13.50±0.75 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.
url http://dx.doi.org/10.1100/2012/104304
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