Cited by 38Impact of Technology on AdolescentsAttention Deficit Hyperactivity DisorderGambling Behavior and Treatments

Attention deficit hyperactivity disorder and gaming disorder: Frequency and associated factors in a clinical sample of patients with Gaming Disorder

Open access
Clémence Cabelguen, Bruno Rocher, Juliette Leboucher, Benoît Schreck, Gaëlle Challet‐Bouju, Jean-Benoît Hardouin, Marie Grall‐Bronnec·2021·Journal of Behavioral Addictions

Abstract

Background and aims: Since June 2018, gaming disorder (GD) has been recognized as a disease. It is frequently associated with attention deficit hyperactivity disorder (ADHD), as there are common vulnerability factors and bidirectional interactions between the two disorders. This study aims to evaluate the presence of ADHD symptoms and predictive factors of ADHD among patients with GD. Methods: Ninety-seven patients ≥16 years old referred to the University Hospital of Nantes between 2012 and 2020 for GD were included. The diagnosis of GD was given a posteriori in accordance with the new ICD-11 GD definition. ADHD was screened using the Adult-ADHD Self-Report Scale and the Wender-Utah Rating Scale. A multivariate logistic regression model was used to identify explanatory factors for ADHD-GD comorbidity. Results: The rate of GD patients who screened positive for ADHD was 39%. Predictive factors of ADHD-GD comorbidity were impulsivity (higher score on the negative urgency dimension) and low self-esteem. Discussion: The rate of ADHD found among patients with GD is consistent with that from the literature on internet GD but higher than that found for other behavioural addictions. The identification of a higher negative urgency score and low self-esteem as predictive factors of AHDH-GD comorbidity indicates that gaming could be considered a dysfunctional way to cope with emotional dysregulation in ADHD or to virtually escape. Conclusions: Comorbid ADHD must be taken into consideration to minimize its functional impact on GD patients and gaming-related damage. In contrast, the evaluation of gaming habits in patients with ADHD could be useful for both prevention and care.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1556/2006.2021.00074

Cites

37 of 37 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Studies conducted on treatment-seeking cases showed that gaming disorder is frequently associated with heightened impulsivity, affective instability, and dysfunctional personality traits as assessed using psychometric questionnaires.

    “Finally, a number of studies conducted on treatment-seeking cases showed that gaming disorder is frequently associated with heightened impulsivity, affective instability, and dysfunctional personality traits as assessed using psychometric questionnaires 148,198,199 .”

    From Emerging experience with selected new categories in the <scp>ICD</scp>‐11: complex <scp>PTSD</scp>, prolonged grief disorder, gaming disorder, and compulsive sexual behaviour disorder (2022) · cites this paper as [198]

    The Methods (Measures; page unavailable) describe psychometric questionnaires assessing impulsivity and temperament. The Results (Factors associated with ADHD-GD comorbidity; page unavailable) find higher negative urgency and lower self-esteem among gaming-disorder patients with comorbid ADHD. The Discussion (Main results; page unavailable) links negative urgency to responses to negative emotions, but the paper does not establish affective instability or dysfunctional personality traits as general associations of gaming disorder; its principal comparison is within patients with gaming disorder, by ADHD status. (LLM, conf=0.85)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. American Psychiatric Association (2013). Diagnosis and statistical manual of mental disorders (5th ed.). Washinton, DC: APA.

Cited by

Sorted by citations

Authors
Cabelguen, C., Rocher, B., Leboucher, J., Schreck, B., Challet‐Bouju, G., Hardouin, J.-B., & Grall‐Bronnec, M.
Affiliations
  • Centre Hospitalier Universitaire de Nantes (FR)
  • Inserm (FR)
Corresponding author
Clémence Cabelguen
Venue
Journal of Behavioral Addictions
Published
2021-12-31
Volume
10
Issue
4
Pages
1061-1067
ISSN
  • 2062-5871 (ISSN-L)
  • 2063-5303
OpenAlex
W3209255497
Cited by
38
References
37
Citations by year
2026: 6 · 2025: 8 · 2024: 8 · 2023: 7 · 2022: 9
FWCI
8.32
Type
journal article
Language
en
Open access
Locations
  • Journal of Behavioral Addictions (publishedVersion, cc-by-nc)
  • PubMed Central (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
  • Repository of the Academy's Library (Library of the Hungarian Academy of Sciences) (acceptedVersion)
  • HAL (submittedVersion, other-oa)
Topics
  • Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
  • Health Sciences › Medicine › Psychiatry and Mental health › Attention Deficit Hyperactivity Disorder
  • Social Sciences › Psychology › Clinical Psychology › Gambling Behavior and Treatments
Keywords
gaming disorder, attention deficit hyperactivity disorder, comorbidities, impulsivity, negative urgency, self-esteem, emotional dysregulation, behavioral addiction, ICD-11, risk factors

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review