Cited by 5Attention Deficit Hyperactivity DisorderGambling Behavior and TreatmentsImpact of Technology on Adolescents

Investigating behavioural addictions in adults with and without attention deficit hyperactivity disorder

Open access
Findon, James L., Muck, Annika, Tóthpál- Davison, Beáta, Dommett, Eleanor J.·2025·PLOS ONE

Abstract

Attention deficit hyperactivity disorder (ADHD) confers greater risk of alcohol and substance use disorders, which may be linked to altered compulsivity and impulsivity within the condition. However, no study has investigated the link between these constructs and behavioural addictions in ADHD. The aim of this study was to investigate whether individuals with ADHD show increased impulsivity, compulsivity, and associated distress, as well as addictive behaviour for gambling, exercise, and internet use, and to assess the relationship between these factors. Adults with and without ADHD were recruited from across the UK and completed an online survey measuring impulsivity, compulsivity, gambling, internet use and exercise addiction. Three hundred and forty-six adults took part (Healthy control = 137, ADHD-medicated = 110, ADHD-unmedicated = 99). Those declaring a diagnosis of ADHD reported greater internet use problems and greater withdrawal from exercise. Medicated individuals also reported higher exercise continuance and were more likely be symptomatic for exercise dependency. Individuals identifying with ADHD had greater levels of impulsivity and compulsivity, with impulsivity correlated with all behavioural addictions, whilst compulsivity correlated only with exercise and internet use. Regression analyses indicated that the distress caused by impulsivity and compulsivity was associated with internet use. Although further research is needed, this study indicates that the greater risk of behavioural addictions found in those with ADHD may relate to impulsivity and compulsivity, and that this should be considered when managing ADHD.

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 · 10.1371/journal.pone.0317525

Cites

62 of 64 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?

  • Dopamine dysregulation makes it difficult for those with ADHD to resist distractions and delay satisfaction, especially in digital settings.

    “This dysregulation makes it difficult for those with ADHD to resist distractions and delay satisfaction, which is especially troublesome in digital settings [22].”

    From The Impact of Social Media & Technology on Child and Adolescent Mental Health (2025) · cites this paper as [22]

    The Introduction describes inattention and impulsivity as ADHD symptoms, and the Discussion (Limitations; page unavailable) reports higher impulsivity and more problematic internet use among adults with ADHD. The paper does not establish that dopamine dysregulation causes difficulty resisting distractions or delaying satisfaction, nor that digital settings specifically intensify those difficulties. (LLM, conf=0.86)

    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. [34]Li W, Zhang W, Xiao L, Nie J. The association of Internet addiction symptoms with impulsiveness, loneliness, novelty seeking and behavioral inhibition system among adults with attention-deficit/hyperactivity disorder (ADHD). Psychiatry research. 2016; 243: 357– 64. 27449004

Cited by

Sorted by citations

Authors
Findon, J. L., Muck, A., Tóthpál- Davison, B., & Dommett, E. J.
Corresponding author
Dommett, Eleanor J.
Venue
PLOS ONE
Published
2025-02-05
Volume
20
Issue
2
Pages
e0317525
ISSN
1932-6203 (ISSN-L)
OpenAlex
W4407174133
Cited by
4
References
63
Citations by year
2026: 1 · 2025: 3
FWCI
2.69
Type
journal article
Language
en
Open access
Locations
  • PLoS ONE (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Research Portal (King's College London) (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Attention Deficit Hyperactivity Disorder
  • Social Sciences › Psychology › Clinical Psychology › Gambling Behavior and Treatments
  • Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
Keywords
attention deficit hyperactivity disorder, behavioral addiction, impulsivity, compulsivity, exercise addiction, internet use, gambling addiction, alcoholism, substance use disorders, ADHD medication, addictive behavior
MeSH terms
Adolescent, Adult, Attention Deficit Disorder with Hyperactivity, Compulsive Behavior, Female, Gambling, Humans, Impulsive Behavior, Male, Middle Aged, Surveys and Questionnaires, Exercise, Behavior, Addictive, Internet, Young Adult

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