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Personal characteristics related to the risk of adolescent internet addiction: a survey in Shanghai, China

BACKGROUND: Paralleling the rapid growth in computers and internet connections, adolescent internet addiction (AIA) is becoming an increasingly serious problem, especially in developing countries. This study aims to explore the prevalence of AIA and associated symptoms in a large population-based sa...

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Autores principales: Xu, Jian, Shen, Li-xiao, Yan, Chong-huai, Hu, Howard, Yang, Fang, Wang, Lu, Kotha, Sudha Rani, Zhang, Li-na, Liao, Xiang-peng, Zhang, Jun, Ouyang, Feng-xiu, Zhang, Jin-song, Shen, Xiao-ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3563549/
https://www.ncbi.nlm.nih.gov/pubmed/23259906
http://dx.doi.org/10.1186/1471-2458-12-1106
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author Xu, Jian
Shen, Li-xiao
Yan, Chong-huai
Hu, Howard
Yang, Fang
Wang, Lu
Kotha, Sudha Rani
Zhang, Li-na
Liao, Xiang-peng
Zhang, Jun
Ouyang, Feng-xiu
Zhang, Jin-song
Shen, Xiao-ming
author_facet Xu, Jian
Shen, Li-xiao
Yan, Chong-huai
Hu, Howard
Yang, Fang
Wang, Lu
Kotha, Sudha Rani
Zhang, Li-na
Liao, Xiang-peng
Zhang, Jun
Ouyang, Feng-xiu
Zhang, Jin-song
Shen, Xiao-ming
author_sort Xu, Jian
collection PubMed
description BACKGROUND: Paralleling the rapid growth in computers and internet connections, adolescent internet addiction (AIA) is becoming an increasingly serious problem, especially in developing countries. This study aims to explore the prevalence of AIA and associated symptoms in a large population-based sample in Shanghai and identify potential predictors related to personal characteristics. METHODS: In 2007, 5,122 adolescents were randomly chosen from 16 high schools of different school types (junior, senior key, senior ordinary and senior vocational) in Shanghai with stratified-random sampling. Each student completed a self-administered and anonymous questionnaire that included DRM 52 Scale of Internet-use. The DRM 52 Scale was adapted for use in Shanghai from Young’s Internet Addiction Scale and contained 7 subscales related to psychological symptoms of AIA. Multiple linear regression and logistic regression were both used to analyze the data. RESULTS: Of the 5,122 students, 449 (8.8%) were identified as internet addicts. Although adolescents who had bad (vs. good) academic achievement had lower levels of internet-use (p < 0.0001), they were more likely to develop AIA (odds ratio 4.79, 95% CI: 2.51-9.73, p < 0.0001) and have psychological symptoms in 6 of the 7 subscales (not in Time-consuming subscale). The likelihood of AIA was higher among those adolescents who were male, senior high school students, or had monthly spending >100 RMB (all p-values <0.05). Adolescents tended to develop AIA and show symptoms in all subscales when they spent more hours online weekly (however, more internet addicts overused internet on weekends than on weekdays, p < 0.0001) or when they used the internet mainly for playing games or real-time chatting. CONCLUSIONS: This study provides evidence that adolescent personal factors play key roles in inducing AIA. Adolescents having aforementioned personal characteristics and online behaviors are at high-risk of developing AIA that may compound different psychological symptoms associated with AIA. Spending excessive time online is not in itself a defining symptom of AIA. More attention is needed on adolescent excessive weekend internet-use in prevention of potential internet addicts.
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spelling pubmed-35635492013-02-08 Personal characteristics related to the risk of adolescent internet addiction: a survey in Shanghai, China Xu, Jian Shen, Li-xiao Yan, Chong-huai Hu, Howard Yang, Fang Wang, Lu Kotha, Sudha Rani Zhang, Li-na Liao, Xiang-peng Zhang, Jun Ouyang, Feng-xiu Zhang, Jin-song Shen, Xiao-ming BMC Public Health Research Article BACKGROUND: Paralleling the rapid growth in computers and internet connections, adolescent internet addiction (AIA) is becoming an increasingly serious problem, especially in developing countries. This study aims to explore the prevalence of AIA and associated symptoms in a large population-based sample in Shanghai and identify potential predictors related to personal characteristics. METHODS: In 2007, 5,122 adolescents were randomly chosen from 16 high schools of different school types (junior, senior key, senior ordinary and senior vocational) in Shanghai with stratified-random sampling. Each student completed a self-administered and anonymous questionnaire that included DRM 52 Scale of Internet-use. The DRM 52 Scale was adapted for use in Shanghai from Young’s Internet Addiction Scale and contained 7 subscales related to psychological symptoms of AIA. Multiple linear regression and logistic regression were both used to analyze the data. RESULTS: Of the 5,122 students, 449 (8.8%) were identified as internet addicts. Although adolescents who had bad (vs. good) academic achievement had lower levels of internet-use (p < 0.0001), they were more likely to develop AIA (odds ratio 4.79, 95% CI: 2.51-9.73, p < 0.0001) and have psychological symptoms in 6 of the 7 subscales (not in Time-consuming subscale). The likelihood of AIA was higher among those adolescents who were male, senior high school students, or had monthly spending >100 RMB (all p-values <0.05). Adolescents tended to develop AIA and show symptoms in all subscales when they spent more hours online weekly (however, more internet addicts overused internet on weekends than on weekdays, p < 0.0001) or when they used the internet mainly for playing games or real-time chatting. CONCLUSIONS: This study provides evidence that adolescent personal factors play key roles in inducing AIA. Adolescents having aforementioned personal characteristics and online behaviors are at high-risk of developing AIA that may compound different psychological symptoms associated with AIA. Spending excessive time online is not in itself a defining symptom of AIA. More attention is needed on adolescent excessive weekend internet-use in prevention of potential internet addicts. BioMed Central 2012-12-22 /pmc/articles/PMC3563549/ /pubmed/23259906 http://dx.doi.org/10.1186/1471-2458-12-1106 Text en Copyright ©2012 Xu et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Xu, Jian
Shen, Li-xiao
Yan, Chong-huai
Hu, Howard
Yang, Fang
Wang, Lu
Kotha, Sudha Rani
Zhang, Li-na
Liao, Xiang-peng
Zhang, Jun
Ouyang, Feng-xiu
Zhang, Jin-song
Shen, Xiao-ming
Personal characteristics related to the risk of adolescent internet addiction: a survey in Shanghai, China
title Personal characteristics related to the risk of adolescent internet addiction: a survey in Shanghai, China
title_full Personal characteristics related to the risk of adolescent internet addiction: a survey in Shanghai, China
title_fullStr Personal characteristics related to the risk of adolescent internet addiction: a survey in Shanghai, China
title_full_unstemmed Personal characteristics related to the risk of adolescent internet addiction: a survey in Shanghai, China
title_short Personal characteristics related to the risk of adolescent internet addiction: a survey in Shanghai, China
title_sort personal characteristics related to the risk of adolescent internet addiction: a survey in shanghai, china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3563549/
https://www.ncbi.nlm.nih.gov/pubmed/23259906
http://dx.doi.org/10.1186/1471-2458-12-1106
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