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Network analyses of internet gaming disorder symptoms and their links with different types of motivation
The study used regularized partial correlation network analysis (EBICglasso) to examine the structure of DSM-5 internet gaming disorder (IGD) symptoms (network 1); and the associations of the IGD symptoms in the network with different types of motivation as defined in the self-determination theory i...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8802468/ https://www.ncbi.nlm.nih.gov/pubmed/35101004 http://dx.doi.org/10.1186/s12888-022-03708-6 |
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author | Gomez, Rapson Stavropoulos, Vasileios Tullett-Prado, Deon Schivinski, Bruno Chen, Wai |
author_facet | Gomez, Rapson Stavropoulos, Vasileios Tullett-Prado, Deon Schivinski, Bruno Chen, Wai |
author_sort | Gomez, Rapson |
collection | PubMed |
description | The study used regularized partial correlation network analysis (EBICglasso) to examine the structure of DSM-5 internet gaming disorder (IGD) symptoms (network 1); and the associations of the IGD symptoms in the network with different types of motivation as defined in the self-determination theory i.e., intrinsic motivation (engaging in an activity for something unrelated to the activity), identified regulation (engaging in the activity because it aligns with one’s values and/or goals), external regulation (engagement in activity being driven by external rewards and/or approval), and amotivation (engaging in an activity without often understanding why) (network 2). Participants were 968 adults from the general community. They completed self-rating questionnaires covering IGD symptoms and different types of motivation. The findings for network 1 showed mostly positive connections between the symptoms within the IGD network. The most central symptom was loss of control, followed by continuation, withdrawal symptoms, and tolerance. In general, these symptoms were more strongly connected with each other than with the rest of the IGD symptoms. The findings for network 2 showed that the different types of motivation were connected differently with the different IGD symptoms. For instance, the likeliest motivation for the preoccupation and escape symptoms is intrinsic motivation, and for negative consequences, it is low identified regulation. Overall, the findings showed a novel understanding of the structure of the IGD symptoms, and the motivations underlying them. The clinical implications of the findings for assessment and treatment of IGD are discussed. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12888-022-03708-6. |
format | Online Article Text |
id | pubmed-8802468 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-88024682022-02-02 Network analyses of internet gaming disorder symptoms and their links with different types of motivation Gomez, Rapson Stavropoulos, Vasileios Tullett-Prado, Deon Schivinski, Bruno Chen, Wai BMC Psychiatry Research The study used regularized partial correlation network analysis (EBICglasso) to examine the structure of DSM-5 internet gaming disorder (IGD) symptoms (network 1); and the associations of the IGD symptoms in the network with different types of motivation as defined in the self-determination theory i.e., intrinsic motivation (engaging in an activity for something unrelated to the activity), identified regulation (engaging in the activity because it aligns with one’s values and/or goals), external regulation (engagement in activity being driven by external rewards and/or approval), and amotivation (engaging in an activity without often understanding why) (network 2). Participants were 968 adults from the general community. They completed self-rating questionnaires covering IGD symptoms and different types of motivation. The findings for network 1 showed mostly positive connections between the symptoms within the IGD network. The most central symptom was loss of control, followed by continuation, withdrawal symptoms, and tolerance. In general, these symptoms were more strongly connected with each other than with the rest of the IGD symptoms. The findings for network 2 showed that the different types of motivation were connected differently with the different IGD symptoms. For instance, the likeliest motivation for the preoccupation and escape symptoms is intrinsic motivation, and for negative consequences, it is low identified regulation. Overall, the findings showed a novel understanding of the structure of the IGD symptoms, and the motivations underlying them. The clinical implications of the findings for assessment and treatment of IGD are discussed. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12888-022-03708-6. BioMed Central 2022-01-31 /pmc/articles/PMC8802468/ /pubmed/35101004 http://dx.doi.org/10.1186/s12888-022-03708-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Gomez, Rapson Stavropoulos, Vasileios Tullett-Prado, Deon Schivinski, Bruno Chen, Wai Network analyses of internet gaming disorder symptoms and their links with different types of motivation |
title | Network analyses of internet gaming disorder symptoms and their links with different types of motivation |
title_full | Network analyses of internet gaming disorder symptoms and their links with different types of motivation |
title_fullStr | Network analyses of internet gaming disorder symptoms and their links with different types of motivation |
title_full_unstemmed | Network analyses of internet gaming disorder symptoms and their links with different types of motivation |
title_short | Network analyses of internet gaming disorder symptoms and their links with different types of motivation |
title_sort | network analyses of internet gaming disorder symptoms and their links with different types of motivation |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8802468/ https://www.ncbi.nlm.nih.gov/pubmed/35101004 http://dx.doi.org/10.1186/s12888-022-03708-6 |
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