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Classification of problematic Internet usage types by motives and contexts with elementary and secondary school-aged counseling clients

BACKGROUND AND AIMS: Past research on the classification of problematic Internet use (PIU) has focused on symptom-based severity and usage motive in order to understand its mechanism. Recently, usage context, such as family or social relationships, has been identified as a key influencing factor of...

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Autores principales: Kim, Bugeun, Lee, Seul, Doh, Young Yim, Gweon, Gahgene
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Akadémiai Kiadó 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6426381/
https://www.ncbi.nlm.nih.gov/pubmed/30264604
http://dx.doi.org/10.1556/2006.7.2018.90
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author Kim, Bugeun
Lee, Seul
Doh, Young Yim
Gweon, Gahgene
author_facet Kim, Bugeun
Lee, Seul
Doh, Young Yim
Gweon, Gahgene
author_sort Kim, Bugeun
collection PubMed
description BACKGROUND AND AIMS: Past research on the classification of problematic Internet use (PIU) has focused on symptom-based severity and usage motive in order to understand its mechanism. Recently, usage context, such as family or social relationships, has been identified as a key influencing factor of PIU. Therefore, we extended the classification of PIU to include usage context in addition to symptom-based severity and usage motive. METHODS: To classify PIU types, we conducted two studies. First, we performed a clustering analysis, where 265 counseling cases were clustered into usage types in terms of motive and context. After characterizing each usage type, we examined their hierarchical relationships by considering symptoms. Second, we performed a focus group interview with six counselors to increase the transferability of usage types. This transferability was established by matching counselors’ quotations to the usage types. When usage types showed consistency between quotations and the clustering analysis, we identified the progression patterns between hierarchical relationships. RESULTS: The clustering analysis of motive and context yielded six usage types with three hierarchical relationships. The focus group interview results verified the transferability of these six types and identified two progression patterns between the hierarchical relationships. DISCUSSION AND CONCLUSION: Although usage motive and context were given equal weight before the clustering analysis, the resulting types revealed that usage context played a greater role in the classification process.
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spelling pubmed-64263812019-04-24 Classification of problematic Internet usage types by motives and contexts with elementary and secondary school-aged counseling clients Kim, Bugeun Lee, Seul Doh, Young Yim Gweon, Gahgene J Behav Addict Full-Length Report BACKGROUND AND AIMS: Past research on the classification of problematic Internet use (PIU) has focused on symptom-based severity and usage motive in order to understand its mechanism. Recently, usage context, such as family or social relationships, has been identified as a key influencing factor of PIU. Therefore, we extended the classification of PIU to include usage context in addition to symptom-based severity and usage motive. METHODS: To classify PIU types, we conducted two studies. First, we performed a clustering analysis, where 265 counseling cases were clustered into usage types in terms of motive and context. After characterizing each usage type, we examined their hierarchical relationships by considering symptoms. Second, we performed a focus group interview with six counselors to increase the transferability of usage types. This transferability was established by matching counselors’ quotations to the usage types. When usage types showed consistency between quotations and the clustering analysis, we identified the progression patterns between hierarchical relationships. RESULTS: The clustering analysis of motive and context yielded six usage types with three hierarchical relationships. The focus group interview results verified the transferability of these six types and identified two progression patterns between the hierarchical relationships. DISCUSSION AND CONCLUSION: Although usage motive and context were given equal weight before the clustering analysis, the resulting types revealed that usage context played a greater role in the classification process. Akadémiai Kiadó 2018-09-28 2018-09 /pmc/articles/PMC6426381/ /pubmed/30264604 http://dx.doi.org/10.1556/2006.7.2018.90 Text en © 2018 The Author(s) http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium for non-commercial purposes, provided the original author and source are credited, a link to the CC License is provided, and changes – if any – are indicated.
spellingShingle Full-Length Report
Kim, Bugeun
Lee, Seul
Doh, Young Yim
Gweon, Gahgene
Classification of problematic Internet usage types by motives and contexts with elementary and secondary school-aged counseling clients
title Classification of problematic Internet usage types by motives and contexts with elementary and secondary school-aged counseling clients
title_full Classification of problematic Internet usage types by motives and contexts with elementary and secondary school-aged counseling clients
title_fullStr Classification of problematic Internet usage types by motives and contexts with elementary and secondary school-aged counseling clients
title_full_unstemmed Classification of problematic Internet usage types by motives and contexts with elementary and secondary school-aged counseling clients
title_short Classification of problematic Internet usage types by motives and contexts with elementary and secondary school-aged counseling clients
title_sort classification of problematic internet usage types by motives and contexts with elementary and secondary school-aged counseling clients
topic Full-Length Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6426381/
https://www.ncbi.nlm.nih.gov/pubmed/30264604
http://dx.doi.org/10.1556/2006.7.2018.90
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