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The latent profile analysis of Chinese adolescents’ gaming disorder: examination and validation
BACKGROUND: Gaming disorder is a new disease, which is included in the disease unit of disorder caused by addiction in the 11th revision of the International Classification of Diseases. This study examined the symptom characteristics of gaming disorders in Chinese adolescents using the latent profil...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10644538/ https://www.ncbi.nlm.nih.gov/pubmed/37957585 http://dx.doi.org/10.1186/s12888-023-05320-8 |
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author | Zhang, Lina Liu, Mengqi Yuan, Ming Hou, Mutian Yang, Cheng Wang, Yingying Hao, Wei Liao, Yanhui |
author_facet | Zhang, Lina Liu, Mengqi Yuan, Ming Hou, Mutian Yang, Cheng Wang, Yingying Hao, Wei Liao, Yanhui |
author_sort | Zhang, Lina |
collection | PubMed |
description | BACKGROUND: Gaming disorder is a new disease, which is included in the disease unit of disorder caused by addiction in the 11th revision of the International Classification of Diseases. This study examined the symptom characteristics of gaming disorders in Chinese adolescents using the latent profile analysis. METHODS: Totally, 5988 students (including 3285 boys and 2703 girls; aged 12–18 years) from junior high schools and senior high schools were enrolled. The Gaming Disorder Symptom Questionnaire-21 (GDSQ-21) was used to screen gaming disorder. A latent profile analysis was used for classifying the subgroups based on the extent of gaming usage. The relationship between adolescent gamers and demographic variables was analyzed by logistic regression. RESULTS: The results of latent profile analysis supported the models of four latent profiles, which were defined as healthy gamers (Profile 1, 56.83%), impaired control gamers (Profile 2, 26.09%), impaired control-game priority gamers (Profile 3, 9.72%) and gamers with disorder (Profile 4, 7.36%), respectively. Logistic regression analysis found that, compared with girls, boys were more likely to be classified into the group dominated by the impaired gamers, the impaired control-game priority gamers, and the gamers with disorder. CONCLUSIONS: This study highlighted that the latent profile analysis identified four different groups of adolescent gamers, showing a clearer conceptualization of heterogeneous gamers. Gender and average weekly gaming time can predict the latent profile of adolescents. Our findings may facilitate the design of individualized assessment and early intervention programs for adolescent gamer users based on different gaming usage symptoms. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12888-023-05320-8. |
format | Online Article Text |
id | pubmed-10644538 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-106445382023-11-13 The latent profile analysis of Chinese adolescents’ gaming disorder: examination and validation Zhang, Lina Liu, Mengqi Yuan, Ming Hou, Mutian Yang, Cheng Wang, Yingying Hao, Wei Liao, Yanhui BMC Psychiatry Research BACKGROUND: Gaming disorder is a new disease, which is included in the disease unit of disorder caused by addiction in the 11th revision of the International Classification of Diseases. This study examined the symptom characteristics of gaming disorders in Chinese adolescents using the latent profile analysis. METHODS: Totally, 5988 students (including 3285 boys and 2703 girls; aged 12–18 years) from junior high schools and senior high schools were enrolled. The Gaming Disorder Symptom Questionnaire-21 (GDSQ-21) was used to screen gaming disorder. A latent profile analysis was used for classifying the subgroups based on the extent of gaming usage. The relationship between adolescent gamers and demographic variables was analyzed by logistic regression. RESULTS: The results of latent profile analysis supported the models of four latent profiles, which were defined as healthy gamers (Profile 1, 56.83%), impaired control gamers (Profile 2, 26.09%), impaired control-game priority gamers (Profile 3, 9.72%) and gamers with disorder (Profile 4, 7.36%), respectively. Logistic regression analysis found that, compared with girls, boys were more likely to be classified into the group dominated by the impaired gamers, the impaired control-game priority gamers, and the gamers with disorder. CONCLUSIONS: This study highlighted that the latent profile analysis identified four different groups of adolescent gamers, showing a clearer conceptualization of heterogeneous gamers. Gender and average weekly gaming time can predict the latent profile of adolescents. Our findings may facilitate the design of individualized assessment and early intervention programs for adolescent gamer users based on different gaming usage symptoms. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12888-023-05320-8. BioMed Central 2023-11-13 /pmc/articles/PMC10644538/ /pubmed/37957585 http://dx.doi.org/10.1186/s12888-023-05320-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 Zhang, Lina Liu, Mengqi Yuan, Ming Hou, Mutian Yang, Cheng Wang, Yingying Hao, Wei Liao, Yanhui The latent profile analysis of Chinese adolescents’ gaming disorder: examination and validation |
title | The latent profile analysis of Chinese adolescents’ gaming disorder: examination and validation |
title_full | The latent profile analysis of Chinese adolescents’ gaming disorder: examination and validation |
title_fullStr | The latent profile analysis of Chinese adolescents’ gaming disorder: examination and validation |
title_full_unstemmed | The latent profile analysis of Chinese adolescents’ gaming disorder: examination and validation |
title_short | The latent profile analysis of Chinese adolescents’ gaming disorder: examination and validation |
title_sort | latent profile analysis of chinese adolescents’ gaming disorder: examination and validation |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10644538/ https://www.ncbi.nlm.nih.gov/pubmed/37957585 http://dx.doi.org/10.1186/s12888-023-05320-8 |
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