Evidence map›Paper›PMID 37934288›Full record

ReviewJournal of behavioral addictions2023

Heterogeneity of gaming disorder: A clinically-based typology for developing personalized interventions.

Chih-Hung Ko, Orsolya Király, Zsolt Demetrovics, Mark D Griffiths, Takahiro A Kato, Masaru Tateno, Ju-Yu Yen

Open access · goldAbstract readReview
In one paragraph

Review in Journal of behavioral addictions, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
11.0field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Observational
  8. Article
  9. Gaming disorder: Neural mechanisms and ongoing debates.Journal of behavioral addictions · 2025
    Review
  10. Article
  11. Article
  12. Article
  13. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 5 institutions in 4 countries.

Chih-Hung Ko1Department of Psychiatry, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung City, Taiwan.ORCID 0000-0001-8034-0221
Orsolya Király3Institute of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary.ORCID 0000-0001-9981-4212
Zsolt Demetrovics3Institute of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary.ORCID 0000-0001-5604-7551
Mark D Griffiths5Psychology Department, Nottingham Trent University, Nottingham, United Kingdom.ORCID 0000-0001-8880-6524
Takahiro A Kato6Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.ORCID 0000-0001-5169-2930
Masaru Tateno7Department of Neuropsychiatry, School of Medicine, Sapporo Medical University, Sapporo, Japan.ORCID 0000-0002-5084-0193
Ju-Yu Yen1Department of Psychiatry, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung City, Taiwan.ORCID 0000-0002-7865-5299
Eötvös Loránd University · HUKaohsiung Medical University · TWKyushu University · JPNottingham Trent University · GBSapporo Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The eleventh revision of the International Classification of Diseases (ICD-11) defines the three key diagnostic criteria for gaming disorder (GD). These are loss of control over gaming, gaming as a priority over daily activities, and impaired functioning due to gaming. While this definition has implications for the prevention and treatment of GD, there is significant heterogeneity in the symptoms and etiology of GD among individuals, which results in different treatment needs. Cognitive control, emotional regulation, and reward sensitivity are three critical dimensions in the etiology model for GD. Aspects such as gender, comorbidity, motivation for gaming, stage or severity of GD, and risk factors all contribute to the heterogeneity of etiology among individuals with the disorder. Method: On the basis of clinical symptoms and comorbidity characteristics among approximately 400 patients with gaming disorder, the present paper proposes a clinical typology of patients with GD based on the authors' clinical experience in treating individuals with GD. Results: The findings indicated three common types of patients with GD: (i) impulsive male patients with attention deficit hyperactivity disorder (ADHD), (ii) dysphoria patients with dysfunctional coping skills, and (iii) isolated patients with social anxiety. The paper also discusses the presentation and treatment priority for these patients. Conclusion: Personalized treatments for patients with GD should be developed to fit their individual needs. Future studies should examine the heterogeneity of GD and confirm these types, as well as obtain evidence-based information that can help in the development of personalized treatment. Treatment resources should be developed, and professionals should be trained to provide integrated individualized treatment.

Indexed as

Behavior, AddictiveDisruptive, Impulse Control, and Conduct DisordersVideo GamesHumansImpulsive BehaviorInternational Classification of DiseasesMalecognitive controlcomorbidityemotion regulationheterogeneitypersonalized treatmentreward sensitivitytypology of gaming disorder

Identifiers

PMID37934288
PMCPMC10786230
OpenAlexW4388454918

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.