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The Nonlinear Association Between Internet Using Time for Non-Educational Purposes and Adolescent Health

OBJECTIVES: This study was performed to consider the association between Internet using time for non-educational purposes and adolescent health, and to examine how health status differs between Internet users and non-users. METHODS: We analyzed 2009 data from the Korea Adolescent Risk Behavior Web-B...

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Autor principal: Kim, Jong Yeon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society for Preventive Medicine 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3278603/
https://www.ncbi.nlm.nih.gov/pubmed/22389757
http://dx.doi.org/10.3961/jpmph.2012.45.1.37
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author Kim, Jong Yeon
author_facet Kim, Jong Yeon
author_sort Kim, Jong Yeon
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description OBJECTIVES: This study was performed to consider the association between Internet using time for non-educational purposes and adolescent health, and to examine how health status differs between Internet users and non-users. METHODS: We analyzed 2009 data from the Korea Adolescent Risk Behavior Web-Based Survey, conducted on a nationally representative sample of students in grades 7 to 12. A total of 75 066 adolescents were categorized into four groups according to their Internet using time excluding using for educational purposes: non-Internet users (NIUs), occasional Internet users (OIUs) (<1 h/d), moderate Internet users (MIUs) (≥1 and <2 h/d), and heavy Internet users (HIUs) (≥2 h/d). Health factors included eight health risk behavior indices, four mental health indices and six physical health indices. RESULTS: The distribution of Internet use was as follows: NIUs 17.4%, OIUs 68.1%, MIUs 12.7%, and HIUs 1.7%. In multivariate analysis, using OIUs as a reference, U- or J-shaped associations were observed for five health risk behavior indices (current smoking, current drinking, drug abuse, sexual intercourse, sedentary behavior on weekdays) and four mental health indices (stressed, depressed, suicidal ideation, attempted suicide) in both genders. After removing confounding effects, including age, region, school type, subjective school record, subjective economic status, presence of parents, living with family, and sedentary behavior, these associations were still observed. CONCLUSIONS: Health professionals should consider both Internet non-users (for non-educational purposes) and heavy users to be high-risk groups in terms of health status. Also, more well-designed studies are needed to clarify what factors are working in these nonlinear associations.
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spelling pubmed-32786032012-02-16 The Nonlinear Association Between Internet Using Time for Non-Educational Purposes and Adolescent Health Kim, Jong Yeon J Prev Med Public Health Original Article OBJECTIVES: This study was performed to consider the association between Internet using time for non-educational purposes and adolescent health, and to examine how health status differs between Internet users and non-users. METHODS: We analyzed 2009 data from the Korea Adolescent Risk Behavior Web-Based Survey, conducted on a nationally representative sample of students in grades 7 to 12. A total of 75 066 adolescents were categorized into four groups according to their Internet using time excluding using for educational purposes: non-Internet users (NIUs), occasional Internet users (OIUs) (<1 h/d), moderate Internet users (MIUs) (≥1 and <2 h/d), and heavy Internet users (HIUs) (≥2 h/d). Health factors included eight health risk behavior indices, four mental health indices and six physical health indices. RESULTS: The distribution of Internet use was as follows: NIUs 17.4%, OIUs 68.1%, MIUs 12.7%, and HIUs 1.7%. In multivariate analysis, using OIUs as a reference, U- or J-shaped associations were observed for five health risk behavior indices (current smoking, current drinking, drug abuse, sexual intercourse, sedentary behavior on weekdays) and four mental health indices (stressed, depressed, suicidal ideation, attempted suicide) in both genders. After removing confounding effects, including age, region, school type, subjective school record, subjective economic status, presence of parents, living with family, and sedentary behavior, these associations were still observed. CONCLUSIONS: Health professionals should consider both Internet non-users (for non-educational purposes) and heavy users to be high-risk groups in terms of health status. Also, more well-designed studies are needed to clarify what factors are working in these nonlinear associations. The Korean Society for Preventive Medicine 2012-01 2012-01-31 /pmc/articles/PMC3278603/ /pubmed/22389757 http://dx.doi.org/10.3961/jpmph.2012.45.1.37 Text en Copyright © 2012 The Korean Society for Preventive Medicine http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Kim, Jong Yeon
The Nonlinear Association Between Internet Using Time for Non-Educational Purposes and Adolescent Health
title The Nonlinear Association Between Internet Using Time for Non-Educational Purposes and Adolescent Health
title_full The Nonlinear Association Between Internet Using Time for Non-Educational Purposes and Adolescent Health
title_fullStr The Nonlinear Association Between Internet Using Time for Non-Educational Purposes and Adolescent Health
title_full_unstemmed The Nonlinear Association Between Internet Using Time for Non-Educational Purposes and Adolescent Health
title_short The Nonlinear Association Between Internet Using Time for Non-Educational Purposes and Adolescent Health
title_sort nonlinear association between internet using time for non-educational purposes and adolescent health
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3278603/
https://www.ncbi.nlm.nih.gov/pubmed/22389757
http://dx.doi.org/10.3961/jpmph.2012.45.1.37
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