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Which is more stable and specific: DSM‐5 internet gaming disorder or ICD‐11 gaming disorder? A longitudinal study.

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Title: Which is more stable and specific: DSM‐5 internet gaming disorder or ICD‐11 gaming disorder? A longitudinal study.
Authors: Hong, Yu Na (AUTHOR), Hwang, Hyunchan (AUTHOR), Starcevic, Vladan (AUTHOR), Choi, Tae Young (AUTHOR), Kim, Tae Ho (AUTHOR), Han, Doug Hyun (AUTHOR)
Source: Psychiatry & Clinical Neurosciences. Apr2023, Vol. 77 Issue 4, p213-222. 10p. 6 Charts, 1 Graph.
Subjects: Gaming disorder, Mental illness, Longitudinal method, Attention-deficit hyperactivity disorder, Odds ratio
Abstract: Aim: The high comorbidity rates of internet gaming disorder (IGD) and gaming disorder (GD) with other psychiatric disorders are concerning. A follow‐up study of gamers from clinical and nonclinical samples with and without diagnoses of IGD or GD was conducted to investigate the changes in diagnoses over a 1‐year period, compare their diagnostic stability, and examine the patterns of co‐occurrence between IGD and GD with other psychiatric disorders over the same period. Methods: Baseline and 1‐year follow‐up data of 279 participants, including 120 problematic gaming patients and 159 gamers from the general population, were analyzed. Information on demographics, gaming habits, and self‐reported psychological status was collected. Additionally, a structured interview was conducted using the Gaming Diagnostic Interview and the Mini‐International Neuropsychiatric Interview. Results: Although there was no significant difference between the changes in IGD/GD diagnosis during the 1‐year period, 34.7% of the participants had a change in IGD diagnosis, while the number of GD cases increased to 60.4%. When evaluating the fixed effects of comorbidity on IGD and GD, attention‐deficit/hyperactivity disorder had the highest odds ratio for both IGD (75.23; 95% confidence interval [CI], 10.67–530.61) and GD (117.02 × 106; 95% CI, 2.23 × 106–6132.64 × 106). Conclusion: These results reveal that a GD diagnosis might be more prone to change than an IGD diagnosis. GD was also found to be more affected by comorbid psychiatric disorders. [ABSTRACT FROM AUTHOR]
Copyright of Psychiatry & Clinical Neurosciences is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Which is more stable and specific: DSM‐5 internet gaming disorder or ICD‐11 gaming disorder? A longitudinal study.
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  Data: <searchLink fieldCode="AR" term="%22Hong%2C+Yu+Na%22">Hong, Yu Na</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hwang%2C+Hyunchan%22">Hwang, Hyunchan</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Starcevic%2C+Vladan%22">Starcevic, Vladan</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Choi%2C+Tae+Young%22">Choi, Tae Young</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kim%2C+Tae+Ho%22">Kim, Tae Ho</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Han%2C+Doug+Hyun%22">Han, Doug Hyun</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Psychiatry+%26+Clinical+Neurosciences%22">Psychiatry & Clinical Neurosciences</searchLink>. Apr2023, Vol. 77 Issue 4, p213-222. 10p. 6 Charts, 1 Graph.
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  Data: <searchLink fieldCode="DE" term="%22Gaming+disorder%22">Gaming disorder</searchLink><br /><searchLink fieldCode="DE" term="%22Mental+illness%22">Mental illness</searchLink><br /><searchLink fieldCode="DE" term="%22Longitudinal+method%22">Longitudinal method</searchLink><br /><searchLink fieldCode="DE" term="%22Attention-deficit+hyperactivity+disorder%22">Attention-deficit hyperactivity disorder</searchLink><br /><searchLink fieldCode="DE" term="%22Odds+ratio%22">Odds ratio</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Aim: The high comorbidity rates of internet gaming disorder (IGD) and gaming disorder (GD) with other psychiatric disorders are concerning. A follow‐up study of gamers from clinical and nonclinical samples with and without diagnoses of IGD or GD was conducted to investigate the changes in diagnoses over a 1‐year period, compare their diagnostic stability, and examine the patterns of co‐occurrence between IGD and GD with other psychiatric disorders over the same period. Methods: Baseline and 1‐year follow‐up data of 279 participants, including 120 problematic gaming patients and 159 gamers from the general population, were analyzed. Information on demographics, gaming habits, and self‐reported psychological status was collected. Additionally, a structured interview was conducted using the Gaming Diagnostic Interview and the Mini‐International Neuropsychiatric Interview. Results: Although there was no significant difference between the changes in IGD/GD diagnosis during the 1‐year period, 34.7% of the participants had a change in IGD diagnosis, while the number of GD cases increased to 60.4%. When evaluating the fixed effects of comorbidity on IGD and GD, attention‐deficit/hyperactivity disorder had the highest odds ratio for both IGD (75.23; 95% confidence interval [CI], 10.67–530.61) and GD (117.02 × 106; 95% CI, 2.23 × 106–6132.64 × 106). Conclusion: These results reveal that a GD diagnosis might be more prone to change than an IGD diagnosis. GD was also found to be more affected by comorbid psychiatric disorders. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Psychiatry & Clinical Neurosciences is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Apr2023
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