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Cognitive deficits in problematic internet use: meta-analysis of 40 studies
Open accessAbstract
BACKGROUND: Excessive use of the internet is increasingly recognised as a global public health concern. Individual studies have reported cognitive impairment in problematic internet use (PIU), but have suffered from various methodological limitations. Confirmation of cognitive deficits in PIU would support the neurobiological plausibility of this disorder. AIMS: To conduct a rigorous meta-analysis of cognitive performance in PIU from case-control studies; and to assess the impact of study quality, the main type of online behaviour (for example gaming) and other parameters on the findings. METHOD: A systematic literature review was conducted of peer-reviewed case-controlled studies comparing cognition in people with PIU (broadly defined) with that of healthy controls. Findings were extracted and subjected to a meta-analysis where at least four publications existed for a given cognitive domain of interest. RESULTS: The meta-analysis comprised 2922 participants across 40 studies. Compared with controls, PIU was associated with significant impairment in inhibitory control (Stroop task Hedge's g = 0.53 (s.e. = 0.19-0.87), stop-signal task g = 0.42 (s.e. = 0.17-0.66), go/no-go task g = 0.51 (s.e. = 0.26-0.75)), decision-making (g = 0.49 (s.e. = 0.28-0.70)) and working memory (g = 0.40 (s.e. = 0.20-0.82)). Whether or not gaming was the predominant type of online behaviour did not significantly moderate the observed cognitive effects; nor did age, gender, geographical area of reporting or the presence of comorbidities. CONCLUSIONS: PIU is associated with decrements across a range of neuropsychological domains, irrespective of geographical location, supporting its cross-cultural and biological validity. These findings also suggest a common neurobiological vulnerability across PIU behaviours, including gaming, rather than a dissimilar neurocognitive profile for internet gaming disorder. DECLARATION OF INTEREST: S.R.C. consults for Cambridge Cognition and Shire. K.I.'s research activities were supported by Health Education East of England Higher Training Special interest sessions. A.E.G.'s research has been funded by Innovational grant (VIDI-scheme) from ZonMW: (91713354). N.A.F. has received research support from Lundbeck, Glaxo-SmithKline, European College of Neuropsychopharmacology (ECNP), Servier, Cephalon, Astra Zeneca, Medical Research Council (UK), National Institute for Health Research, Wellcome Foundation, University of Hertfordshire, EU (FP7) and Shire. N.A.F. has received honoraria for lectures at scientific meetings from Abbott, Otsuka, Lundbeck, Servier, Astra Zeneca, Jazz pharmaceuticals, Bristol Myers Squibb, UK College of Mental Health Pharmacists and British Association for Psychopharmacology (BAP). N.A.F. has received financial support to attend scientific meetings from RANZCP, Shire, Janssen, Lundbeck, Servier, Novartis, Bristol Myers Squibb, Cephalon, International College of Obsessive-Compulsive Spectrum Disorders, International Society for Behavioral Addiction, CINP, IFMAD, ECNP, BAP, the World Health Organization and the Royal College of Psychiatrists. N.A.F. has received financial royalties for publications from Oxford University Press and payment for editorial duties from Taylor and Francis. J.E.G. reports grants from the National Center for Responsible Gaming, Forest Pharmaceuticals, Takeda, Brainsway, and Roche and others from Oxford Press, Norton, McGraw-Hill and American Psychiatric Publishing outside of the submitted work.
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“Research on PIU has exposed compelling evidence regarding its detrimental effects on critical cognitive faculties such as working memory and decision-making (Ioannidis et al., 2019).”
From From tools to threats: a reflection on the impact of artificial-intelligence chatbots on cognitive health (2024) · cites this paper as Ioannidis et al., 2019
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“Problematic Internet use was associated with deficits in decision making that were assessed on the Iowa Gambling Task, Balloon Analogue Risk Task (BART), Cambridge Gambling Task, and Game of Dice Task ( 18 ).”
From Neurocognitive function among individuals with problematic social media use (2026) · cites this paper as [18]
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Bias in meta-analysis detected by a simple, graphical test
Egger, M., Smith, G. D., Schneider, M., & Minder, C. (1997) · BMJ · doi:10.1136/bmj.315.7109.629 · Cited by 56,722
Meta-analysis of Observational Studies in Epidemiology<SUBTITLE>A Proposal for Reporting</SUBTITLE>
Stroup, D. F. (2000) · JAMA · doi:10.1001/jama.283.15.2008 · Cited by 20,623
Duval, S., & Tweedie, R. (2000) · Biometrics · doi:10.1111/j.0006-341x.2000.00455.x · Cited by 14,099
Internet Addiction: The Emergence of a New Clinical Disorder
YOUNG, K. S. (1998) · CyberPsychology & Behavior · doi:10.1089/cpb.1998.1.237 · Cited by 5,513
Kardefelt-Winther, D. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2013.10.059 · Cited by 2,519
Brand, M., Young, K. S., Laier, C., Wölfling, K., & Potenza, M. N. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.08.033 · Cited by 2,416
Issues for DSM-V: Internet Addiction
Block, J. J. (2008) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2007.07101556 · Cited by 1,385
Internet addiction: a systematic review of epidemiological research for the last decade
Kuss, D., Griffiths, M., Karila, L., & Billieux, J. (2014) · Current Pharmaceutical Design · doi:10.2174/13816128113199990617 · Cited by 1,374
Modification in the Proposed Diagnostic Criteria for Internet Addiction
Beard, K. W., & Wolf, E. (2001) · CyberPsychology & Behavior · doi:10.1089/109493101300210286 · Cited by 1,019
Problematic internet use: Proposed classification and diagnostic criteria
Shapira, N. A., Lessig, M. C., Goldsmith, T. D., Szabo, S. T., Lazoritz, M., Gold, M. S., & Stein, D. J. (2003) · Depression and Anxiety · doi:10.1002/da.10094 · Cited by 771
Psychology and the Internet : intrapersonal, interpersonal, and transpersonal implications
Gackenbach, J. (1998) · Cited by 524
Problematic Internet use: an overview
Aboujaoude, E. N. (2010) · World Psychiatry · doi:10.1002/j.2051-5545.2010.tb00278.x · Cited by 355
Dong, G., Lu, Q., Zhou, H., & Zhao, X. (2010) · Neuroscience Letters · doi:10.1016/j.neulet.2010.09.002 · Cited by 296 · cited 1×
“G O T A SK ST O PSI G N A L TA SK Ding et al (2014)26 Dong et al (2010)27 Kim et al (2017)28 Ko et al (2014)29 Littel et al (2012)30 Liu et al (2004)31 Luijten et al (2015)32 Metcalf & Pammer (2014)33 Sun et al (2009)34 Yao et al (2015)35 Zhou et al (2010)36 Zhou et al (2016)37 Zhou et al…”
Ding, W.-N., Sun, J.-H., Sun, Y.-W., Chen, X., Zhou, Y., Zhuang, Z.-G., Li, L., Zhang, Y., Xu, J.-R., & Du, Y.-S. (2014) · Behavioral and Brain Functions · doi:10.1186/1744-9081-10-20 · Cited by 294
Quintana, D. S. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.01549 · Cited by 284
Internet Gaming Disorder and the DSM-5: Conceptualization, Debates, and Controversies
Király, O., Griffiths, M. D., & Demetrovics, Z. (2015) · Current Addiction Reports · doi:10.1007/s40429-015-0066-7 · Cited by 269
Pontes, H. M. (2017) · Journal of Behavioral Addictions · doi:10.1556/2006.6.2017.075 · Cited by 267
Dong, G., Huang, J., & Du, X. (2011) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2011.06.017 · Cited by 258
Dong, G., Lin, X., Zhou, H., & Lu, Q. (2014) · Addictive Behaviors · doi:10.1016/j.addbeh.2013.11.028 · Cited by 206
Problematic internet use as an age-related multifaceted problem: Evidence from a two-site survey
Ioannidis, K., Treder, M. S., Chamberlain, S. R., Király, F. J., Redden, S. A., Stein, D. J., Löchner, C., & Grant, J. E. (2018) · Addictive Behaviors · doi:10.1016/j.addbeh.2018.02.017 · Cited by 198
Self-citationKo, C., Hsieh, T.-J., Chen, C., Yen, C., Chen, C., Yen, J., Wang, P., & Liu, G. (2014) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-013-0483-3 · Cited by 181
Choi, S., Kim, H., Kim, G., Jeon, Y.-J., Park, S. H., Lee, J., Jung, H. Y., Sohn, B. K., Choi, J., & Kim, D. (2014) · Journal of Behavioral Addictions · doi:10.1556/jba.3.2014.4.6 · Cited by 180
Pawlikowski, M., & Brand, M. (2011) · Psychiatry Research · doi:10.1016/j.psychres.2011.05.017 · Cited by 178
Brain activation for response inhibition under gaming cue distraction in internet gaming disorder
Liu, G., Yen, J., Chen, C., Yen, C., Chen, C., Lin, W., & Ko, C. (2013) · The Kaohsiung Journal of Medical Sciences · doi:10.1016/j.kjms.2013.08.005 · Cited by 175
Littel, M., van den Berg, I., Luijten, M., van Rooij, A. J., Keemink, L. M., & Franken, I. (2012) · Addiction Biology · doi:10.1111/j.1369-1600.2012.00467.x · Cited by 171
Dong, G., Zhou, H., & Zhao, X. (2011) · Neuroscience Letters · doi:10.1016/j.neulet.2011.05.047 · Cited by 167
Yuan, K., Qin, W., Yu, D., Bi, Y., Xing, L., Jin, C., & Tian, J. (2015) · Brain Structure and Function · doi:10.1007/s00429-014-0982-7 · Cited by 159
Dong, G., Hu, Y., Lin, X., & Lu, Q. (2013) · Biological Psychology · doi:10.1016/j.biopsycho.2013.07.009 · Cited by 159
Resting-state beta and gamma activity in Internet addiction
Choi, J., Park, S. M., Lee, J., Hwang, J. Y., Jung, H. Y., Choi, S., Kim, D., Oh, S., & Lee, J. (2013) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2013.06.007 · Cited by 153
Yuan, K., Yu, D., Cai, C., Feng, D., Li, Y., Bi, Y., Liu, J., Zhang, Y., Jin, C., Li, L., et al. (2017) · Addiction Biology · doi:10.1111/adb.12348 · Cited by 153
Dysfunctional inhibitory control and impulsivity in Internet addiction
Choi, J., Park, S. M., Roh, M., Lee, J., Park, C.-B., Hwang, J. Y., Gwak, A. R., & Jung, H. Y. (2013) · Psychiatry Research · doi:10.1016/j.psychres.2013.12.001 · Cited by 148
Decision-making and prepotent response inhibition functions in excessive internet users
Sun, D.-L., Chen, Z.-J., Ma, N., Zhang, X.-C., Fu, X.-M., & Zhang, D.-R. (2009) · CNS Spectrums · doi:10.1017/s1092852900000225 · Cited by 143 · cited 2×
“…Dong et al (2010)27 Kim et al (2017)28 Ko et al (2014)29 Littel et al (2012)30 Liu et al (2004)31 Luijten et al (2015)32 Metcalf & Pammer (2014)33 Sun et al (2009)34 Yao et al (2015)35 Zhou et al (2010)36 Zhou et al (2016)37 Zhou et al (2014)38 Chamberlain et al (2017)20 Choi et al (2013)39 Choi…”
Response inhibition and internet gaming disorder: a meta-analysis
Argyriou, E., Davison, C. B., & Lee, T. T. C. (2017) · Addictive Behaviors · doi:10.1016/j.addbeh.2017.02.026 · Cited by 142
Brain correlates of response inhibition in I nternet gaming disorder
Chen, C., Huang, M., Yen, J., Chen, C., Liu, G., Yen, C., & Ko, C. (2014) · Psychiatry and Clinical Neurosciences · doi:10.1111/pcn.12224 · Cited by 140
Dong, G., Li, H., Wang, L., & Potenza, M. N. (2017) · European Psychiatry · doi:10.1016/j.eurpsy.2017.03.004 · Cited by 139
Zhou, Z., Zhou, H., & Zhu, H. (2015) · Acta Neuropsychiatrica · doi:10.1017/neu.2015.54 · Cited by 130
Cue reactivity and its inhibition in pathological computer game players
Lorenz, R. C., Krüger, J., Neumann, B., Schott, B. H., Kaufmann, C., Heinz, A., & Wüstenberg, T. (2012) · Addiction Biology · doi:10.1111/j.1369-1600.2012.00491.x · Cited by 125
Reward/punishment sensitivities among internet addicts: Implications for their addictive behaviors
Dong, G., Hu, Y., & Lin, X. (2013) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2013.07.007 · Cited by 117 · cited 3×
“…O RK IN G M EM O RY Standardized mean difference Effect size (95% CI) Choi et al (2014)44 Dong et al (2011)45 Dong et al (2014)46 Dong et al (2013)47 Dong et al (2013)48 Dong et al (2017)49 Dong et al (2013)50 Dong et al (2012)51 Lim et al (2016)42 Luijen et al (2015)32 Wang et al (2015)52 Xing…”
Behavioural addiction-A rising tide?
Chamberlain, S., Lochner, C., Stein, D., Goudriaan, A., van Holst, R. V., Zohar, J., & Grant, J. (2016) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2015.08.013 · Cited by 108
Self-citationYao, Y.-W., Wang, L.-J., Yip, S. W., Chen, P.-R., Li, S., Xu, J., Zhang, J.-T., Deng, L.-Y., Liu, Q.-X., & Fang, X.-Y. (2015) · Psychiatry Research · doi:10.1016/j.psychres.2015.07.004 · Cited by 108
Wang, H., Jin, C., Yuan, K., Shakir, T. M., Mao, C., Niu, X., Niu, C., Guo, L., & Zhang, M. (2015) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2015.00064 · Cited by 105
Cai, C., Yuan, K., Yin, J., Feng, D., Bi, Y., Li, Y., Yu, D., Jin, C., Qin, W., & Tian, J. (2015) · Brain Imaging and Behavior · doi:10.1007/s11682-015-9358-8 · Cited by 100
Hadar, A., Hadas, I., Lazarovits, A., Alyagon, U., Eliraz, D., & Zangen, A. (2017) · PLOS ONE · doi:10.1371/journal.pone.0180094 · Cited by 100
Li, H., Zou, Y.-M., Wang, J., & Xue-lin, Y. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.01794 · Cited by 97
Zhou, Z., Zhu, H., Li, C., & Wang, J. (2014) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2014.00288 · Cited by 96
Ioannidis, K., Chamberlain, S. R., Treder, M. S., Kiraly, F., Leppink, E. W., Redden, S. A., Stein, D. J., Lochner, C., & Grant, J. E. (2016) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2016.08.010 · Cited by 90
Self-citationQi, X., Du, X., Yang, Y., Du, G., Gao, P., Zhang, Y., Qin, W., Li, X., & Zhang, Q. (2015) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2015.00296 · Cited by 89
Zhou, Z., Yuan, G., Yao, J., Li, C., & Cheng, Z. (2010) · Acta Neuropsychiatrica · doi:10.1111/j.1601-5215.2010.00444.x · Cited by 79
Metcalf, O., & Pammer, K. (2013) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2013.0024 · Cited by 76
Dong, G., Shen, Y., Huang, J., & Du, X. (2013) · European Addiction Research · doi:10.1159/000346783 · Cited by 73
An fMRI study of cognitive control in problem gamers
Luijten, M., Meerkerk, G.-J., Franken, I. H. A., van de Wetering, B. J. M., & Schoenmakers, T. M. (2015) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2015.01.004 · Cited by 68
Changes of quality of life and cognitive function in individuals with Internet gaming disorder
Lim, J.-A., Lee, J., Jung, H. Y., Sohn, B. K., Choi, S., Kim, Y. J., Kim, D., & Choi, J. (2016) · Medicine · doi:10.1097/md.0000000000005695 · Cited by 66
Reduced fiber integrity and cognitive control in adolescents with internet gaming disorder
Xing, L., Yuan, K., Bi, Y., Yin, J., Cai, C., Feng, D., Li, Y., Song, M. K., Wang, H., Yu, D., et al. (2014) · Brain Research · doi:10.1016/j.brainres.2014.08.044 · Cited by 62
Pontes, H. M., & Griffiths, M. D. (2015) · Revista Argentina de Ciencias del Comportamiento ( RACC ) · doi:10.32348/1852.4206.v7.n3.9236 · Cited by 62
Kim, M., Lee, T. H., Choi, J., Kwak, Y. B., Hwang, W. J., Kim, T., Lee, J. Y., Lim, J.-A., Park, M., Kim, Y. J., et al. (2017) · Scientific Reports · doi:10.1038/srep41742 · Cited by 54
The impact of comorbid impulsive/compulsive disorders in problematic Internet use
Chamberlain, S. R., Ioannidis, K., & Grant, J. E. (2018) · Journal of Behavioral Addictions · doi:10.1556/2006.7.2018.30 · Cited by 50
Self-citationKing, D. L., & Delfabbro, P. (2014) · Addiction · doi:10.1111/add.12547 · Cited by 43
Physiological markers of biased decision-making in problematic Internet users
Nikolaidou, M., Fraser, D. S., & Hinvest, N. S. (2016) · Journal of Behavioral Addictions · doi:10.1556/2006.5.2016.052 · Cited by 26
Problematic internet use in gamblers: impact on clinical and cognitive measures
Chamberlain, S. R., Redden, S. A., Leppink, E. W., & Grant, J. E. (2017) · CNS Spectrums · doi:10.1017/s1092852917000037 · Cited by 26
Self-citationBianchini, V., Cecilia, M. R., Roncone, R., & Cofini, V. (2017) · Rivista di psichiatria · doi:10.1708/2679.27445 · Cited by 22
Addiction, impulsivity and obsessive-compulsive disorder: new formulation revealing ancient wisdom.
Zohar, J. (2010) · PubMed · Cited by 5
Flagged first, then by citations
Research works printed but not linked: 2
- 2013, Diagnostic and Statistical Manual of Mental Disorders (DSM-5)
- Gackenbach, 1998, Psychology and the Internet. Intrapersonal, Interpersonal, and Transpersonal Implications
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Sorted by citations
Brand, M., Wegmann, E., Stark, R., Müller, A., Wölfling, K., Robbins, T. W., & Potenza, M. N. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.06.032 · Cited by 2,126
Fineberg, N. A., Menchón, J. M., Hall, N., Dell’Osso, B. M., Brand, M., Potenza, M. N., Chamberlain, S. R., Cirnigliaro, G., Löchner, C., Billieux, J., et al. (2022) · Comprehensive Psychiatry · doi:10.1016/j.comppsych.2022.152346 · Cited by 276
Self-citationCurrent interpretations of the I-PACE model of behavioral addictions
Brand, M., Müller, A., Wegmann, E., Antons, S., Brandtner, A., Müller, S. M., Stark, R. M., Steins‐Loeber, S., & Potenza, M. N. (2025) · Journal of Behavioral Addictions · doi:10.1556/2006.2025.00020 · Cited by 224
Can internet use become addictive?
Brand, M. (2022) · Science · doi:10.1126/science.abn4189 · Cited by 183
Neurobiology of cue-reactivity, craving, and inhibitory control in non-substance addictive behaviors
Antons, S., Brand, M., & Potenza, M. N. (2020) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2020.116952 · Cited by 187
Metadata
- Authors
- Ioannidis, K., Hook, R., Goudriaan, A. E., Vlies, S., Fineberg, N. A., Grant, J. E., & Chamberlain, S. R.
- Affiliations
- University of Cambridge (GB)
- Amsterdam UMC Location University of Amsterdam (NL)
- Cambridgeshire and Peterborough NHS Foundation Trust (GB)
- University of Hertfordshire (GB)
- University of Chicago (US)
- Corresponding author
- Ioannidis, Konstantinos
- ORCID
- Venue
- British Journal of Psychiatry
- Publisher
- Royal College of Psychiatrists
- Published
- 2019-02-20
- Volume
- 215
- Issue
- 5
- Pages
- 639-646
- ISSN
- 0007-1250 (ISSN-L)
- 1472-1465
- PMC
- PMC6949138
- OpenAlex
- W2914811992
- Cited by
- 246
- References
- 61
- Citations by year
- 2026: 48 · 2025: 52 · 2024: 30 · 2023: 34 · 2022: 34 · 2021: 26 · 2020: 15 · 2019: 7
- FWCI
- 5.35
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- The British Journal of Psychiatry (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- ePrints Soton (University of Southampton) (acceptedVersion)
- Pure Amsterdam UMC (acceptedVersion, cc-by)
- University of Hertfordshire Research Archive (University of Hertfordshire) (acceptedVersion)
- University of Hertfordshire Research Archive (University of Hertfordshire) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Funders
- Bristol-Myers Squibb
- Wellcome Trust (110,049/Z/15/Z, 110049)
- Jazz Pharmaceuticals
- National Institute for Health and Care Research
- Department of Health and Social Care
- University of Hertfordshire
- ZonMw (91713354)
- Universiteit van Amsterdam
- European College of Neuropsychopharmacology
- Servier
- H. Lundbeck A/S
- Pritzker School of Medicine
- Medical Research Council
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Psychology › Clinical Psychology › Gambling Behavior and Treatments
- Social Sciences › Psychology › Clinical Psychology › Sexuality, Behavior, and Technology
- Keywords
- problematic internet use, internet gaming disorder, cognitive impairment, inhibitory control, decision-making, working memory, Stroop task, stop-signal task, go/no-go task, online games, neurobiological vulnerability, cross-cultural validity, comorbidities, case-control study, study quality, cognitive bias modification, cognitive flexibility, executive function
- MeSH terms
- Internet Use, Cognition, Cognition Disorders, England, Humans, Behavior, Addictive, Internet, Cognitive Dysfunction
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