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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...

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Autores principales: Zhang, Lina, Liu, Mengqi, Yuan, Ming, Hou, Mutian, Yang, Cheng, Wang, Yingying, Hao, Wei, Liao, Yanhui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
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.
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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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