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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| Format: | Online |
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The Scientific World Journal
2012
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3385635/ |
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pubmed-3385635 |
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pubmed-33856352012-07-09 Internet Addiction Phenomenon in Early Adolescents in Hong Kong Shek, Daniel T. L. Yu, Lu Research Article 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. The Scientific World Journal 2012-06-18 /pmc/articles/PMC3385635/ /pubmed/22778694 http://dx.doi.org/10.1100/2012/104304 Text en Copyright © 2012 D. T. L. Shek and L. Yu. https://creativecommons.org/licenses/by/3.0/ 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. |
| repository_type |
Open Access Journal |
| institution_category |
Foreign Institution |
| institution |
US National Center for Biotechnology Information |
| building |
NCBI PubMed |
| collection |
Online Access |
| language |
English |
| format |
Online |
| author |
Shek, Daniel T. L. Yu, Lu |
| spellingShingle |
Shek, Daniel T. L. Yu, Lu Internet Addiction Phenomenon in Early Adolescents in Hong Kong |
| author_facet |
Shek, Daniel T. L. Yu, Lu |
| author_sort |
Shek, Daniel T. L. |
| 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 |
| 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. |
| publisher |
The Scientific World Journal |
| publishDate |
2012 |
| url |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3385635/ |
| _version_ |
1611539929545834496 |