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The recognition of gaming disorder in China: a case series of 223 patients

BACKGROUND: Internet gaming disorder (IGD) was listed in the appendix of the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) as a condition requiring further study in 2013, and gaming disorder (GD) was considered a mental disorder and listed in the 11th International Cla...

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Autores principales: Shao, Tianli, Chen, Xinxin, Huang, Shucai, Liao, Zhenjiang, Lin, Shuhong, Qi, Jing, Cai, Yi, Huang, Qiuping, Shen, Hongxian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7868065/
https://www.ncbi.nlm.nih.gov/pubmed/33604193
http://dx.doi.org/10.7717/peerj.10827
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author Shao, Tianli
Chen, Xinxin
Huang, Shucai
Liao, Zhenjiang
Lin, Shuhong
Qi, Jing
Cai, Yi
Huang, Qiuping
Shen, Hongxian
author_facet Shao, Tianli
Chen, Xinxin
Huang, Shucai
Liao, Zhenjiang
Lin, Shuhong
Qi, Jing
Cai, Yi
Huang, Qiuping
Shen, Hongxian
author_sort Shao, Tianli
collection PubMed
description BACKGROUND: Internet gaming disorder (IGD) was listed in the appendix of the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) as a condition requiring further study in 2013, and gaming disorder (GD) was considered a mental disorder and listed in the 11th International Classification of Diseases Manual (ICD-11) in 2018. The study aims to obtain preliminary knowledge of the recognition of GD in China. METHODS: A total of 223 Chinese patients who met both the ICD-11 and DSM-5 criteria for GD participated in the study, and a self-administered questionnaire was used to collect demographic information, gaming use characteristics, and previous diagnoses. RESULTS: The average age of patients with GD was 20.5 years, and 71.3% were male. Most patients were diagnosed with emotion-related disorders at their first psychiatric visit: mood disorders (59.2%), bipolar affective disorder (18.4%), depressive episode (12.6%), and anxiety disorder (4.9%). Among the adolescent patients with a first diagnosis of mood disorders, 71.2% and 33.3% were diagnosed with bipolar affective disorder and personality disorders, respectively, at subsequent visits. Overall, after the first visit, the most common diagnosis was bipolar affective disorder (61.0%), followed by personality disorders (34.1%), mood disorders (17.0%), depressive episode (17.0%), and other disorders. Only three patients had Internet overuse. CONCLUSION: The identification rate of GD is extremely low in routine psychiatric clinical practice in China. Most patients with GD were previously misdiagnosed with emotion-related disorders. Psychiatrists should be trained to improve their ability to recognize and manage GD.
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spelling pubmed-78680652021-02-17 The recognition of gaming disorder in China: a case series of 223 patients Shao, Tianli Chen, Xinxin Huang, Shucai Liao, Zhenjiang Lin, Shuhong Qi, Jing Cai, Yi Huang, Qiuping Shen, Hongxian PeerJ Psychiatry and Psychology BACKGROUND: Internet gaming disorder (IGD) was listed in the appendix of the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) as a condition requiring further study in 2013, and gaming disorder (GD) was considered a mental disorder and listed in the 11th International Classification of Diseases Manual (ICD-11) in 2018. The study aims to obtain preliminary knowledge of the recognition of GD in China. METHODS: A total of 223 Chinese patients who met both the ICD-11 and DSM-5 criteria for GD participated in the study, and a self-administered questionnaire was used to collect demographic information, gaming use characteristics, and previous diagnoses. RESULTS: The average age of patients with GD was 20.5 years, and 71.3% were male. Most patients were diagnosed with emotion-related disorders at their first psychiatric visit: mood disorders (59.2%), bipolar affective disorder (18.4%), depressive episode (12.6%), and anxiety disorder (4.9%). Among the adolescent patients with a first diagnosis of mood disorders, 71.2% and 33.3% were diagnosed with bipolar affective disorder and personality disorders, respectively, at subsequent visits. Overall, after the first visit, the most common diagnosis was bipolar affective disorder (61.0%), followed by personality disorders (34.1%), mood disorders (17.0%), depressive episode (17.0%), and other disorders. Only three patients had Internet overuse. CONCLUSION: The identification rate of GD is extremely low in routine psychiatric clinical practice in China. Most patients with GD were previously misdiagnosed with emotion-related disorders. Psychiatrists should be trained to improve their ability to recognize and manage GD. PeerJ Inc. 2021-02-04 /pmc/articles/PMC7868065/ /pubmed/33604193 http://dx.doi.org/10.7717/peerj.10827 Text en © 2021 Shao et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Psychiatry and Psychology
Shao, Tianli
Chen, Xinxin
Huang, Shucai
Liao, Zhenjiang
Lin, Shuhong
Qi, Jing
Cai, Yi
Huang, Qiuping
Shen, Hongxian
The recognition of gaming disorder in China: a case series of 223 patients
title The recognition of gaming disorder in China: a case series of 223 patients
title_full The recognition of gaming disorder in China: a case series of 223 patients
title_fullStr The recognition of gaming disorder in China: a case series of 223 patients
title_full_unstemmed The recognition of gaming disorder in China: a case series of 223 patients
title_short The recognition of gaming disorder in China: a case series of 223 patients
title_sort recognition of gaming disorder in china: a case series of 223 patients
topic Psychiatry and Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7868065/
https://www.ncbi.nlm.nih.gov/pubmed/33604193
http://dx.doi.org/10.7717/peerj.10827
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