Evidence map›Paper›PMID 42277724›Full record

ArticleBMC psychiatry2026

Impulsivity facets and internet gaming disorder symptoms in male adolescents with ADHD: an exploratory cross-sectional study from Turkiye.

Sarper İçen, Şefika Nurhüda Karaca Cengiz

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Article in BMC psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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2 authors.

Sarper İçenDepartment of Child and Adolescent Mental Health and Disease, Kırşehir Ahi Evran University Faculty of Medicine, Kırşehir, Turkey. sarper.icen@ahievran.edu.tr.ORCID 0000-0001-6746-2654
Şefika Nurhüda Karaca CengizChild and Adolescent Psychiatry, Eskişehir City Hospital, Eskişehir, Turkey.ORCID 0000-0001-7759-3631

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdolescents with attention-deficit/hyperactivity disorder (ADHD) are at elevated risk for problematic gaming. Although impulsivity has been linked to problematic gaming, it is unclear whether different impulsivity facets show distinct associations with heterogeneous DSM-5 Internet Gaming Disorder (IGD) symptom domains.

methodsIn this cross-sectional study, 45 male adolescents with ADHD (ages 12-17) presenting with excessive gaming concerns were recruited from two child and adolescent psychiatry outpatient clinics in Turkiye (December 2025-January 2026). ADHD diagnoses and comorbidity screening were confirmed with the K-SADS-PL-DSM-5-T semi-structured interview; comorbid psychiatric disorders expected to meaningfully affect impulsivity or gaming-symptom reporting were excluded. Impulsivity was assessed using the Barratt Impulsiveness Scale-11-SF (BIS-11-SF) (attentional, motor, non-planning) and IGD symptoms using the IGDS-27 (nine DSM-5 criteria). Spearman correlations were computed between impulsivity indices and IGD total/domain scores, with uncertainty quantified using 5,000-sample bias-corrected and accelerated (BCa) bootstrap 95% confidence intervals (CIs). Selected exploratory comparisons of dependent overlapping correlations were also conducted. Age, ADHD pharmacotherapy status, and parental psychiatric history were examined in sensitivity analyses.

resultsMost participants reported gaming > 4 h/day on weekdays (73.3%) and weekends (75.6%). IGDS-27 total score was positively associated with non-planning impulsivity (ρ = 0.56, 95% CI [0.30, 0.74]), attentional impulsivity (ρ = 0.52, 95% CI [0.23, 0.74]), and motor impulsivity (ρ = 0.45, 95% CI [0.16, 0.69]). In a multivariable linear regression including all three impulsivity facets simultaneously, only non-planning impulsivity remained independently associated with IGD symptom severity (B = 4.15, 95% CI [1.63, 6.67], p = .002; model R² = 0.45). Selected exploratory comparisons suggested stronger associations of non-planning impulsivity with problems and deception than with preoccupation or escape. Age was not significantly correlated with impulsivity or IGD severity, and sensitivity analyses did not indicate differences by ADHD pharmacotherapy status or parental psychiatric history.

conclusionsIn this clinical sample of male adolescents with ADHD, IGD symptom severity was positively associated with all three impulsivity facets in bivariate analyses, while non-planning impulsivity retained an independent association in multivariable analysis after accounting for shared variance among facets. Facet-symptom level associations were exploratory and should be interpreted cautiously.

trial registrationNot applicable.

Indexed as

Attention Deficit Disorder with HyperactivityImpulsive BehaviorInternet Addiction DisorderVideo GamesAdolescentChildComorbidityCross-Sectional StudiesHumansInternetMaleAdolescentsAttention-deficit/hyperactivity disorderBarratt impulsiveness scaleImpulsivityInternet gaming disorder

Identifiers

PMID42277724
PMCPMC13261926

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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.