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A Phenotype Classification of Internet Use Disorder in a Large-Scale High-School Study
Internet Use Disorder (IUD) affects numerous adolescents worldwide, and (Internet) Gaming Disorder, a specific subtype of IUD, has recently been included in DSM-5 and ICD-11. Epidemiological studies have identified prevalence rates up to 5.7% among adolescents in Germany. However, little is known ab...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5923775/ https://www.ncbi.nlm.nih.gov/pubmed/29649137 http://dx.doi.org/10.3390/ijerph15040733 |
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author | Lindenberg, Katajun Halasy, Katharina Szász-Janocha, Carolin Wartberg, Lutz |
author_facet | Lindenberg, Katajun Halasy, Katharina Szász-Janocha, Carolin Wartberg, Lutz |
author_sort | Lindenberg, Katajun |
collection | PubMed |
description | Internet Use Disorder (IUD) affects numerous adolescents worldwide, and (Internet) Gaming Disorder, a specific subtype of IUD, has recently been included in DSM-5 and ICD-11. Epidemiological studies have identified prevalence rates up to 5.7% among adolescents in Germany. However, little is known about the risk development during adolescence and its association to education. The aim of this study was to: (a) identify a clinically relevant latent profile in a large-scale high-school sample; (b) estimate prevalence rates of IUD for distinct age groups and (c) investigate associations to gender and education. N = 5387 adolescents out of 41 schools in Germany aged 11–21 were assessed using the Compulsive Internet Use Scale (CIUS). Latent profile analyses showed five profile groups with differences in CIUS response pattern, age and school type. IUD was found in 6.1% and high-risk Internet use in 13.9% of the total sample. Two peaks were found in prevalence rates indicating the highest risk of IUD in age groups 15–16 and 19–21. Prevalence did not differ significantly between boys and girls. High-level education schools showed the lowest (4.9%) and vocational secondary schools the highest prevalence rate (7.8%). The differences between school types could not be explained by academic level. |
format | Online Article Text |
id | pubmed-5923775 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-59237752018-05-03 A Phenotype Classification of Internet Use Disorder in a Large-Scale High-School Study Lindenberg, Katajun Halasy, Katharina Szász-Janocha, Carolin Wartberg, Lutz Int J Environ Res Public Health Article Internet Use Disorder (IUD) affects numerous adolescents worldwide, and (Internet) Gaming Disorder, a specific subtype of IUD, has recently been included in DSM-5 and ICD-11. Epidemiological studies have identified prevalence rates up to 5.7% among adolescents in Germany. However, little is known about the risk development during adolescence and its association to education. The aim of this study was to: (a) identify a clinically relevant latent profile in a large-scale high-school sample; (b) estimate prevalence rates of IUD for distinct age groups and (c) investigate associations to gender and education. N = 5387 adolescents out of 41 schools in Germany aged 11–21 were assessed using the Compulsive Internet Use Scale (CIUS). Latent profile analyses showed five profile groups with differences in CIUS response pattern, age and school type. IUD was found in 6.1% and high-risk Internet use in 13.9% of the total sample. Two peaks were found in prevalence rates indicating the highest risk of IUD in age groups 15–16 and 19–21. Prevalence did not differ significantly between boys and girls. High-level education schools showed the lowest (4.9%) and vocational secondary schools the highest prevalence rate (7.8%). The differences between school types could not be explained by academic level. MDPI 2018-04-12 2018-04 /pmc/articles/PMC5923775/ /pubmed/29649137 http://dx.doi.org/10.3390/ijerph15040733 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Lindenberg, Katajun Halasy, Katharina Szász-Janocha, Carolin Wartberg, Lutz A Phenotype Classification of Internet Use Disorder in a Large-Scale High-School Study |
title | A Phenotype Classification of Internet Use Disorder in a Large-Scale High-School Study |
title_full | A Phenotype Classification of Internet Use Disorder in a Large-Scale High-School Study |
title_fullStr | A Phenotype Classification of Internet Use Disorder in a Large-Scale High-School Study |
title_full_unstemmed | A Phenotype Classification of Internet Use Disorder in a Large-Scale High-School Study |
title_short | A Phenotype Classification of Internet Use Disorder in a Large-Scale High-School Study |
title_sort | phenotype classification of internet use disorder in a large-scale high-school study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5923775/ https://www.ncbi.nlm.nih.gov/pubmed/29649137 http://dx.doi.org/10.3390/ijerph15040733 |
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