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Two-dimensional taxonomy of internet addiction and assessment of smartphone addiction with diagnostic criteria and mobile apps

A recent review by Montag et al. raised a taxonomical argument about internet addiction. We propose a two-dimensional taxonomy of internet addiction by both the device and the content as the solution. For the assessment of smartphone addiction, measurements should be based on functional impairment a...

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Detalles Bibliográficos
Autores principales: Wu, Yi-Lun, Lin, Sheng-Hsuan, Lin, Yu-Hsuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Akadémiai Kiadó 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8969724/
https://www.ncbi.nlm.nih.gov/pubmed/33410771
http://dx.doi.org/10.1556/2006.2020.00074
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author Wu, Yi-Lun
Lin, Sheng-Hsuan
Lin, Yu-Hsuan
author_facet Wu, Yi-Lun
Lin, Sheng-Hsuan
Lin, Yu-Hsuan
author_sort Wu, Yi-Lun
collection PubMed
description A recent review by Montag et al. raised a taxonomical argument about internet addiction. We propose a two-dimensional taxonomy of internet addiction by both the device and the content as the solution. For the assessment of smartphone addiction, measurements should be based on functional impairment and validated by diagnostic criteria rather than solely on self-reported questionnaires. We detail the potential of mobile applications (apps) to improve the assessment of smartphone addiction. App-generated indicators could fulfill the unmet need of assessment of smartphone addiction and facilitate future assessment and treatment planning of smartphone addiction.
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spelling pubmed-89697242022-04-11 Two-dimensional taxonomy of internet addiction and assessment of smartphone addiction with diagnostic criteria and mobile apps Wu, Yi-Lun Lin, Sheng-Hsuan Lin, Yu-Hsuan J Behav Addict Commentary A recent review by Montag et al. raised a taxonomical argument about internet addiction. We propose a two-dimensional taxonomy of internet addiction by both the device and the content as the solution. For the assessment of smartphone addiction, measurements should be based on functional impairment and validated by diagnostic criteria rather than solely on self-reported questionnaires. We detail the potential of mobile applications (apps) to improve the assessment of smartphone addiction. App-generated indicators could fulfill the unmet need of assessment of smartphone addiction and facilitate future assessment and treatment planning of smartphone addiction. Akadémiai Kiadó 2021-01-06 /pmc/articles/PMC8969724/ /pubmed/33410771 http://dx.doi.org/10.1556/2006.2020.00074 Text en © 2020 The Author(s) https://creativecommons.org/licenses/by-nc/4.0/Open Access. This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (https://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 Commentary
Wu, Yi-Lun
Lin, Sheng-Hsuan
Lin, Yu-Hsuan
Two-dimensional taxonomy of internet addiction and assessment of smartphone addiction with diagnostic criteria and mobile apps
title Two-dimensional taxonomy of internet addiction and assessment of smartphone addiction with diagnostic criteria and mobile apps
title_full Two-dimensional taxonomy of internet addiction and assessment of smartphone addiction with diagnostic criteria and mobile apps
title_fullStr Two-dimensional taxonomy of internet addiction and assessment of smartphone addiction with diagnostic criteria and mobile apps
title_full_unstemmed Two-dimensional taxonomy of internet addiction and assessment of smartphone addiction with diagnostic criteria and mobile apps
title_short Two-dimensional taxonomy of internet addiction and assessment of smartphone addiction with diagnostic criteria and mobile apps
title_sort two-dimensional taxonomy of internet addiction and assessment of smartphone addiction with diagnostic criteria and mobile apps
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8969724/
https://www.ncbi.nlm.nih.gov/pubmed/33410771
http://dx.doi.org/10.1556/2006.2020.00074
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