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Prevalence and Risk Factors of Internet Addiction among Hungarian High School Teachers
The extensive availability of internet has led to the the recognition of problematic internet use (so called internet addiction, IA) mostly involving adolescents. There is limited data about the prevalence of IA in adults. Here we present a study focusing on the prevalence and risk factors of intern...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8000611/ https://www.ncbi.nlm.nih.gov/pubmed/33802530 http://dx.doi.org/10.3390/life11030194 |
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author | Tóth, Gábor Kapus, Krisztian Hesszenberger, David Pohl, Marietta Kósa, Gábor Kiss, Julianna Pusch, Gabriella Fejes, Éva Tibold, Antal Feher, Gergely |
author_facet | Tóth, Gábor Kapus, Krisztian Hesszenberger, David Pohl, Marietta Kósa, Gábor Kiss, Julianna Pusch, Gabriella Fejes, Éva Tibold, Antal Feher, Gergely |
author_sort | Tóth, Gábor |
collection | PubMed |
description | The extensive availability of internet has led to the the recognition of problematic internet use (so called internet addiction, IA) mostly involving adolescents. There is limited data about the prevalence of IA in adults. Here we present a study focusing on the prevalence and risk factors of internet addiction among high school teachers. Overall 2500 paper-based questionnaires were successfully delivered and 1817 responses received (response rate of 72.7%). In our study 1194 females (65.7%) and 623 males (34.3%) participated. In a multivariate analysis including of all factors (demographic data, internet habits, comorbidity etc.) age <35 years (OR: 6.098, CI: 5.09–7.08, p < 0.001), male gender (OR = 5.413, CI: 4.39–6.18, p = 0.002), surfing on the internet > 5 h daily (OR 2.568, CI: 2.03–3.39, p < 0.001), having no children (OR: 1.353, CI: 1.13–1.99, p = 0.0248), and having secondary employment (OR = 11.377, CI: 8.67–13.07, p = 0.001) were significantly associated with internet addiction. This is the first study from Hungary showing the prevalence and risk factors of internet addiction among high school teachers. A small, but significant proportion suffered from IA. Our study also draws attention to the risk factors of IA such as younger age, family status and working type. |
format | Online Article Text |
id | pubmed-8000611 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-80006112021-03-28 Prevalence and Risk Factors of Internet Addiction among Hungarian High School Teachers Tóth, Gábor Kapus, Krisztian Hesszenberger, David Pohl, Marietta Kósa, Gábor Kiss, Julianna Pusch, Gabriella Fejes, Éva Tibold, Antal Feher, Gergely Life (Basel) Article The extensive availability of internet has led to the the recognition of problematic internet use (so called internet addiction, IA) mostly involving adolescents. There is limited data about the prevalence of IA in adults. Here we present a study focusing on the prevalence and risk factors of internet addiction among high school teachers. Overall 2500 paper-based questionnaires were successfully delivered and 1817 responses received (response rate of 72.7%). In our study 1194 females (65.7%) and 623 males (34.3%) participated. In a multivariate analysis including of all factors (demographic data, internet habits, comorbidity etc.) age <35 years (OR: 6.098, CI: 5.09–7.08, p < 0.001), male gender (OR = 5.413, CI: 4.39–6.18, p = 0.002), surfing on the internet > 5 h daily (OR 2.568, CI: 2.03–3.39, p < 0.001), having no children (OR: 1.353, CI: 1.13–1.99, p = 0.0248), and having secondary employment (OR = 11.377, CI: 8.67–13.07, p = 0.001) were significantly associated with internet addiction. This is the first study from Hungary showing the prevalence and risk factors of internet addiction among high school teachers. A small, but significant proportion suffered from IA. Our study also draws attention to the risk factors of IA such as younger age, family status and working type. MDPI 2021-03-03 /pmc/articles/PMC8000611/ /pubmed/33802530 http://dx.doi.org/10.3390/life11030194 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) ). |
spellingShingle | Article Tóth, Gábor Kapus, Krisztian Hesszenberger, David Pohl, Marietta Kósa, Gábor Kiss, Julianna Pusch, Gabriella Fejes, Éva Tibold, Antal Feher, Gergely Prevalence and Risk Factors of Internet Addiction among Hungarian High School Teachers |
title | Prevalence and Risk Factors of Internet Addiction among Hungarian High School Teachers |
title_full | Prevalence and Risk Factors of Internet Addiction among Hungarian High School Teachers |
title_fullStr | Prevalence and Risk Factors of Internet Addiction among Hungarian High School Teachers |
title_full_unstemmed | Prevalence and Risk Factors of Internet Addiction among Hungarian High School Teachers |
title_short | Prevalence and Risk Factors of Internet Addiction among Hungarian High School Teachers |
title_sort | prevalence and risk factors of internet addiction among hungarian high school teachers |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8000611/ https://www.ncbi.nlm.nih.gov/pubmed/33802530 http://dx.doi.org/10.3390/life11030194 |
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