Skip to main content
Log in

Rumination Across Internet Use Disorders (IUDs): a Systematic Review

  • Internet Use Disorders (H-J Rumpf and J Billieux, Section Editors)
  • Published:
Current Addiction Reports Aims and scope Submit manuscript

Abstract 

Purpose of Review

In this systematic review, we examine the contribution of rumination (a maladaptive coping style of emotion regulation) when accounting for the onset and severity of different internet use disorders (IUDs).

Recent Findings

We retained and analyzed 42 studies that explored the association between rumination and six different IUDs: problematic smartphone use, problematic internet use, problematic social networks use, problematic online gaming, problematic online gambling, and online buying-shopping disorder. Overall, the available results suggest that rumination is positively associated with IUDs and that this association is consistent across multiple technology-mediated problematic behaviors. Furthermore, many of the reviewed studies underscore the contribution of rumination when explaining how and for whom, or under what conditions, different variables (e.g., unpleasant emotional states) are related to IUDs.

Summary

This systematic review offers a comprehensive overview of the current state of knowledge regarding the association between rumination and IUDs and identifies new areas that warrant further research.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References 

Papers of particular interest, published recently, have been highlighted as: • Of importance •• Of major importance

  1. • McLaughlin KA, Nolen-Hoeksema S. Rumination as a transdiagnostic factor in depression and anxiety. Behav Res Ther. 2011;49:186–93. Seminal paper providing empirical evidence on the transdiagnostic nature of rumination.

    Article  PubMed  Google Scholar 

  2. Nolen-Hoeksema S, Wisco BE, Lyubomirsky S. Rethinking rumination. Perspect Psychol Sci. 2008;3:400–24.

    Article  PubMed  Google Scholar 

  3. Nolen-Hoeksema S. The response styles theory. In: Papa-georgiou C, Wells A, editors. Depressive rumination: nature, theory, treatment. New York: Wiley; 2004. p. 107–24.

    Google Scholar 

  4. Brinker JK, Dozois DJA. Ruminative thought style and depressed mood. J Clin Psychol. 2009;65:1–19.

    Article  PubMed  Google Scholar 

  5. Nolen-Hoeksema S, Davis CG. “Thanks for sharing that”: ruminators and their social support networks. J Pers Soc Psychol. 1999;77:801–14.

    Article  CAS  PubMed  Google Scholar 

  6. Smart LM, Peters JR, Baer RA. Development and validation of a measure of self-critical rumination. Assessment. 2016;23:321–32.

    Article  PubMed  Google Scholar 

  7. Watkins ER. Constructive and unconstructive repetitive thought. Psychol Bull. 2008;134:163–206.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Elhai JD, Tiamiyu M, Weeks J. Depression and social anxiety in relation to problematic smartphone use: the prominent role of rumination. Internet Res. 2018;28:315–32.

    Article  Google Scholar 

  9. Aldao A, Nolen-Hoeksema S, Schweizer S. Emotion-regulation strategies across psychopathology: a meta-analytic review. Clin Psychol Rev. 2010;30:217–37.

    Article  PubMed  Google Scholar 

  10. •• Elhai JD, Yang H, Montag C. Cognitive- and emotion-related dysfunctional coping processes: transdiagnostic mechanisms explaining depression and anxiety’s relations with problematic smartphone use. Curr Addict Reports. 2019;6:410–7. This review synthesizes recent literature that is focused on the association between maladaptive cognitive processes (including rumination) and problematic smartphone use.

    Article  Google Scholar 

  11. Wegmann E, Billieux J, Brand M. Internet-use disorders: a theoretical framework for their conceptualization and diagnosis. In: Stein DJ, Fineberg NA, Chamberlain SR, editors. Mental health in a digital world. London: Academic Press; 2022. p. 285–305.

    Chapter  Google Scholar 

  12. Montag C, Wegmann E, Sariyska R, Demetrovics Z, Brand M. How to overcome taxonomical problems in the study of Internet use disorders and what to do with “smartphone addiction”? J Behav Addict. 2021;9:908–14.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Starcevic V, King DL, Delfabbro PH, Schimmenti A, Castro-Calvo J, Giardina A, et al. “Diagnostic inflation” will not resolve taxonomical problems in the study of addictive online behaviours. J Behav Addict. 2021;9:915–9.

    Article  Google Scholar 

  14. Baggio S, Starcevic V, Studer J, Simon O, Gainsbury SM, Gmel G, et al. Technology-mediated addictive behaviors constitute a spectrum of related yet distinct conditions: a network perspective. Psychol Addict Behav. 2018;32:564–72.

    Article  PubMed  Google Scholar 

  15. Fineberg NA, Menchón JM, Hall N, Dell’Osso B, Brand M, Potenza MN, et al. Advances in problematic usage of the internet research – A narrative review by experts from the European network for problematic usage of the internet. Compr Psychiatry. 2022;118.

  16. Blaszczynski A, Nower L. A pathways model of problem and pathological gambling. Addiction. 2002;97:487–99.

    Article  PubMed  Google Scholar 

  17. Kardefelt-Winther D. A conceptual and methodological critique of internet addiction research: towards a model of compensatory internet use. Comput Human Behav. 2014;31:351–4.

    Article  Google Scholar 

  18. Elhai JD, Levine JC, Hall BJ. The relationship between anxiety symptom severity and problematic smartphone use: a review of the literature and conceptual frameworks. J Anxiety Disord Elsevier. 2019;62:45–52.

    Article  Google Scholar 

  19. • Davis RA. A cognitive-behavioral model of pathological Internet use. Comput Human Behav. 2001;17:187–95. First theoretical model addressing the role of rumination in the etiopathogenesis of IUDs.

    Article  Google Scholar 

  20. Yang CC, Carter MDK, Webb JJ, Holden SM. Developmentally salient psychosocial characteristics, rumination, and compulsive social media use during the transition to college. Addict Res Theory. 2020;28:433–42.

    Article  Google Scholar 

  21. Brand M, Young KS, Laier C, Wölfling K, Potenza MN. Integrating psychological and neurobiological considerations regarding the development and maintenance of specific Internet-use disorders: an Interaction of Person-Affect-Cognition-Execution (I-PACE) model. Neurosci Biobehav Rev. 2016;71:252–66.

    Article  PubMed  Google Scholar 

  22. Dempsey AE, O’Brien KD, Tiamiyu MF, Elhai JD. Fear of missing out (FoMO) and rumination mediate relations between social anxiety and problematic Facebook use. Addict Behav Reports. 2019;9:100150.

    Article  Google Scholar 

  23. Kökönyei G, Kocsel N, Király O, Griffiths MD, Galambos A, Magi A, et al. The role of cognitive emotion regulation strategies in problem gaming among adolescents: a nationally representative survey study. Front Psychiatry. 2019;10:273.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Krause K, Bischof A, Lewin S, Guertler D, Rumpf HJ, John U, et al. Explaining the relation between pathological gambling and depression: rumination as an underlying common cause. J Behav Addict. 2018;7:384–91.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Moher D, Liberati A, Tetzlaff J, Altman DG, Altman D, Antes G, et al. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. 2009;6:e1000097.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Elhai JD, Contractor AA. Examining latent classes of smartphone users: relations with psychopathology and problematic smartphone use. Comput Human Behav. 2018;82:159–66.

    Article  Google Scholar 

  27. Liu QQ, Zhou ZK, Yang XJ, Kong FC, Niu GF, Fan CY. Mobile phone addiction and sleep quality among Chinese adolescents: a moderated mediation model. Comput Human Behav. 2017;72:108–14.

    Article  Google Scholar 

  28. Elhai JD, Yang H, Dempsey AE, Montag C. Rumination and negative smartphone use expectancies are associated with greater levels of problematic smartphone use: a latent class analysis. Psychiatry Res. 2020;285:112845.

    Article  PubMed  Google Scholar 

  29. Elhai JD, Yang H, Rozgonjuk D, Montag C. Using machine learning to model problematic smartphone use severity: the significant role of fear of missing out. Addict Behav. 2020;103:106261.

    Article  PubMed  Google Scholar 

  30. Vally Z, Alghraibeh AM, Elhai JD. Severity of depression and anxiety in relation to problematic smartphone use in the United Arab Emirates: the mediational roles of rumination and fear of missing out. Hum Behav Emerg Technol. 2021;3:423–31.

    Article  Google Scholar 

  31. Arrivillaga C, Rey L, Extremera N. Psychological distress, rumination and problematic smartphone use among Spanish adolescents: an emotional intelligence-based conditional process analysis. J Affect Disord. 2022;296:1–8.

    Article  PubMed  Google Scholar 

  32. Peng Y, Zhou H, Zhang B, Mao H, Hu R, Jiang H. Perceived stress and mobile phone addiction among college students during the 2019 coronavirus disease: the mediating roles of rumination and the moderating role of self-control. Pers Individ Dif. 2022;185:111222.

    Article  PubMed  Google Scholar 

  33. Zhang B, Peng Y, Luo XS, Mao HL, Luo YH, Hu RT, et al. Mobile phone addiction and cognitive failures in Chinese adolescents: the role of rumination and mindfulness. J Psychol Africa. 2021;31:49–55.

    Article  Google Scholar 

  34. Liu QQ, Yang XJ, Zhu XW, Zhang DJ. Attachment anxiety, loneliness, rumination and mobile phone dependence: a cross-sectional analysis of a moderated mediation model. Curr Psychol. 2021;40:5134–44.

    Article  Google Scholar 

  35. Kong F, Qin J, Huang B, Zhang H, Lei L. The effect of social anxiety on mobile phone dependence among Chinese adolescents: a moderated mediation model. Child Youth Serv Rev. 2020;108:104517.

    Article  Google Scholar 

  36. Wang Y, Yang H, Montag C, Elhai JD. Boredom proneness and rumination mediate relationships between depression and anxiety with problematic smartphone use severity. Curr Psychol. 2020.

  37. Cheng S-S, Zhang C-Q, Wu J-Q. Mindfulness and smartphone addiction before going to sleep among college students: the mediating roles of self-control and rumination. Clocks Sleep. 2020;2:354–63.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Extremera N, Quintana-Orts C, Sánchez-álvarez N, Rey L. The role of cognitive emotion regulation strategies on problematic smartphone use: comparison between problematic and non-problematic adolescent users. Int J Environ Res Public Health. 2019;16:3142.

    Article  PubMed  PubMed Central  Google Scholar 

  39. Gao L, Yang C, Yang X, Chu X, Liu Q, Zhou Z. Negative emotion and problematic mobile phone use: the mediating role of rumination and the moderating role of social support. Asian J Soc Psychol. 2022;25:138–51.

    Article  Google Scholar 

  40. Chambers R, Gullone E, Allen NB. Mindful emotion regulation: an integrative review. Clin Psychol Rev. 2009;29:560–72.

    Article  PubMed  Google Scholar 

  41. Yukun L, Jiao-Er D, Wei L, Jiang L, Zhang Y, Mingbo L, et al. A pilot study of a group mindfulness-based cognitive-behavioral intervention for smartphone addiction among university students. J Behav Addict. 2018;7:1171–6.

    Article  Google Scholar 

  42. Billieux J, Maurage P, Lopez-Fernandez O, Kuss DJ, Griffiths MD. Can disordered mobile phone use be considered a behavioral addiction? An update on current evidence and a comprehensive model for future research. Curr Addict Reports. 2015;2:156–62.

    Article  Google Scholar 

  43. Şenormanci Ö, Konkan R, Güçlü O, Şenormanci G. Ruminative response styles and metacognitions in Internet addicts. J Cogn Psychother Res. 2013;2:167–72.

    Google Scholar 

  44. McNicol ML, Thorsteinsson EB. Internet addiction, psychological distress, and coping responses among adolescents and adults. Cyberpsychology, Behav Soc Netw. 2017;20:296–304.

    Article  Google Scholar 

  45. Hashemi Nosratabad T, Bayrami M, Shiri A. Structural relationships between negative cognitive emotion regulation strategies and symptoms of Internet addiction: mediating role of anxiety. Zahedan J Res Med Sci. 2020;22:e90569.

    Article  Google Scholar 

  46. You Z, Mei W, Ye N, Zhang L, Andrasik F. Mediating effects of rumination and bedtime procrastination on the relationship between Internet addiction and poor sleep quality. J Behav Addict. 2021;9:1002–10.

    Article  Google Scholar 

  47. Bağatarhan T, Siyez DM. Rumination and internet addiction among adolescents: the mediating role of depression. Child Adolesc Soc Work J. 2022;39:209–18.

    Article  Google Scholar 

  48. Thomsen DK, Mehlsen MY, Christensen S, Zachariae R. Rumination—relationship with negative mood and sleep quality. Pers Individ Dif. 2003;34:1293–301.

    Article  Google Scholar 

  49. Cataldo I, Billieux J, Esposito G, Corazza O. Assessing problematic use of social media: where do we stand and what can be improved? Curr Opin Behav Sci. 2022;45:101145.

    Article  Google Scholar 

  50. Wang P, Wang X, Wu Y, Xie X, Wang X, Zhao F, et al. Social networking sites addiction and adolescent depression: a moderated mediation model of rumination and self-esteem. Pers Individ Dif. 2018;127:162–7.

    Article  Google Scholar 

  51. •• Kircaburun K, Griffiths MD, Billieux J. Trait emotional intelligence and problematic online behaviors among adolescents: the mediating role of mindfulness, rumination, and depression. Pers Individ Dif. 2019;139:208–13. The only empirical research concurrently exploring rumination in two different internet use disorders (problematic social networks use and online gambling).

  52. Mitra R, Rangaswamy M. Excessive social media use and its association with depression and rumination in an Indian young adult population: a mediation model. J Psychosoc Res. 2019;14:223–31.

    Article  Google Scholar 

  53. Majid A, Yasir M, Javed A, Ali P. From envy to social anxiety and rumination: how social media site addiction triggers task distraction amongst nurses. J Nurs Manag. 2020;28:504–13.

    Article  PubMed  Google Scholar 

  54. Mao H, Zhang B, Peng Y, Xiong S. The relationship between negative life events and WeChat addiction among Chinese college students: the roles of maladaptive cognition toward WeChat and rumination. Curr Psychol. 2022.

  55. Shin NY, Lim YJ. Development and validation of a Social Network Site Use Motives Scale for college students in South Korea. J Psychoeduc Assess. 2018;36:808–15.

    Article  Google Scholar 

  56. Hofmann SG. Cognitive factors that maintain social anxiety disorder: a comprehensive model and its treatment implications. Cogn Behav Ther. 2007;36:193–209.

    Article  PubMed  PubMed Central  Google Scholar 

  57. Thomas L, Briggs P, Hart A, Kerrigan F. Understanding social media and identity work in young people transitioning to university. Comput Human Behav. 2017;76:541–53.

    Article  Google Scholar 

  58. Li H, Wang S. The role of cognitive distortion in online game addiction among Chinese adolescents. Child Youth Serv Rev. 2013;35:1468–75.

    Article  Google Scholar 

  59. Forrest CJ, King DL, Delfabbro PH. The measurement of maladaptive cognitions underlying problematic video-game playing among adults. Comput Human Behav. 2016;55:399–405.

    Article  Google Scholar 

  60. Müller T, Bonnaire C. Intrapersonal and interpersonal emotion regulation and identity: a preliminary study of avatar identification and gaming in adolescents and young adults. Psychiatry Res Psychiatry Res. 2021;295:113627.

    Article  PubMed  Google Scholar 

  61. Bekir S, Çelik E. An investigation of online gaming addiction level among university students in terms of emotional schemas, agentic personality, and various variables. Malaysian Online J Educ Technol. 2020;8:25–40.

    Article  Google Scholar 

  62. de Lisle S, Dowling NA, Allen JS. Mechanisms of action in the relationship between mindfulness and problem gambling behaviour. Int J Ment Health Addict. 2014;12:206–25.

    Google Scholar 

  63. Ruiz de Lara CM, Navas JF, Perales JC. The paradoxical relationship between emotion regulation and gambling-related cognitive biases. PLoS One. 2019;14:e0220668.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  64. Philippot P, Verschueren A, Douilliez C. Trans-diagnostic processes in depression and anxiety: assessing differentiated cognitive modes in repetitive thinking. Int J Cogn Ther. 2022.

  65. Navas JF, Verdejo-García A, López-GóMez M, Maldonado A, Perales JC. Gambling with rose-tinted glasses on: use of emotion-regulation strategies correlates with dysfunctional cognitions in gambling disorder patients. J Behav Addict. 2016;5:271–81.

    Article  PubMed  PubMed Central  Google Scholar 

  66. McIntosh CC, Crino RD, O’Neill K. Treating problem gambling samples with cognitive behavioural therapy and mindfulness-based interventions: a clinical trial. J Gambl Stud. 2016;32:1305–25.

    Article  CAS  PubMed  Google Scholar 

  67. Claes L, Luyckx K, Vogel B, Verschueren M, Müller A. Identity processes and clusters in individuals with and without pathological buying. Psychiatry Res. 2018;267:467–72.

    Article  PubMed  Google Scholar 

  68. Liu P, He J, Li A. Upward social comparison on social network sites and impulse buying: a moderated mediation model of negative affect and rumination. Comput Human Behav. 2019;96:133–40.

    Article  Google Scholar 

  69. Vosylis R, Žukauskienė R, Crocetti E. Linking identity processes to spending self-control capacities in emerging adulthood: the mediating role of self-regulatory identity functions. Emerg Adulthood. 2020;8:404–11.

    Article  Google Scholar 

  70. Jablensky A. Psychiatric classifications: validity and utility. World Psychiatry. 2016;15:26–31.

    Article  PubMed  PubMed Central  Google Scholar 

  71. Castro-Calvo J, King DL, Stein DJ, Brand M, Carmi L, Chamberlain SR, et al. Expert appraisal of criteria for assessing gaming disorder: an international Delphi study. Addiction. 2021;116:2463–75.

    Article  PubMed  PubMed Central  Google Scholar 

  72. Hayes AF. Beyond Baron and Kenny: statistical mediation analysis in the new millennium. Commun Monogr. 2009;76:408–20.

    Article  Google Scholar 

  73. Hvenegaard M, Moeller SB, Poulsen S, Gondan M, Grafton B, Austin SF, et al. Group rumination-focused cognitive-behavioural therapy (CBT) v group CBT for depression: phase II trial. Psychol Med. 2020;50:11–9.

    Article  PubMed  Google Scholar 

  74. Hawley LL, Schwartz D, Bieling PJ, Irving J, Corcoran K, Farb NAS, et al. Mindfulness practice, rumination and clinical outcome in mindfulness-based treatment. Cognit Ther Res. 2014;38:1–9.

    Article  Google Scholar 

  75. Perestelo-Perez L, Barraca J, Peñate W, Rivero-Santana A, Alvarez-Perez Y. Mindfulness-based interventions for the treatment of depressive rumination: systematic review and meta-analysis. Int J Clin Heal Psychol. 2017;17:282–95.

    Article  Google Scholar 

  76. Flayelle M, Maurage P, Ridell K, Lorenzo D, Vögele C, Gainsbury SM, et al. Binge-watching: what do we know so far ? A first systematic review of the evidence. Curr Addict Reports. 2020;7:44–60.

    Article  Google Scholar 

  77. Kohut T, Balzarini RN, Fisher WA, Grubbs JB, Campbell L, Prause N. Surveying pornography use: a shaky science resting on poor measurement foundations. J Sex Res. 2020;57:722–42.

    Article  PubMed  Google Scholar 

  78. Wegmann E, Brand M. Affective and cognitive processes involved in behavioral addictions. Addict Behav. 2021;118:106885.

    Article  PubMed  Google Scholar 

  79. Flayelle M, Lannoy S. Binge behaviors: assessment, determinants, and consequences. Addict Behav Reports. 2021;14:100380.

    Article  Google Scholar 

  80. Elhai JD, Rozgonjuk D, Alghraibeh AM, Levine JC, Alafnan AA, Aldraiweesh AA, et al. Excessive reassurance seeking mediates relations between rumination and problematic smartphone use. Bull Menninger Clin Bull Menninger Clin. 2020;84:137–55.

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Contributions

JCC and PBM were involved in the literature review, study selection, data extraction, and writing of the manuscript. MF and JB provided feedback on the review methodology and revised the initial draft of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to J. Castro-Calvo.

Ethics declarations

Ethics Approval and Consent to Participate

This article does not involve any studies with human or animal subjects performed by any of the authors of this review and ethics approval is therefore not required.

Conflict of Interest

The authors declare no conflict of interest. This article has been edited by Section Editor Hans Jürgen- Rumpf, as Joël Billieux is a Section Editor for the topical collection Internet-Use Disorders.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This article is part of the Topical Collection on Internet Use Disorders

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 166 KB)

Rights and permissions

Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Castro-Calvo, J., Beltrán-Martínez, P., Flayelle, M. et al. Rumination Across Internet Use Disorders (IUDs): a Systematic Review. Curr Addict Rep 9, 540–570 (2022). https://doi.org/10.1007/s40429-022-00442-7

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40429-022-00442-7

Keywords

Navigation