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Chang RS, Lee M, Im JJ, Choi KH, Kim J, Chey J, Shin SH, Ahn WY. Biopsychosocial factors of gaming disorder: a systematic review employing screening tools with well-defined psychometric properties. Front Psychiatry 2023; 14:1200230. [PMID: 37533885 PMCID: PMC10390702 DOI: 10.3389/fpsyt.2023.1200230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 06/21/2023] [Indexed: 08/04/2023] Open
Abstract
Background and aims Considering the growing number of gamers worldwide and increasing public concerns regarding the negative consequences of problematic gaming, the aim of the present systematic review was to provide a comprehensive overview of gaming disorder (GD) by identifying empirical studies that investigate biological, psychological, and social factors of GD using screening tools with well-defined psychometric properties. Materials and methods A systematic literature search was conducted through PsycINFO, PubMed, RISS, and KISS, and papers published up to January 2022 were included. Studies were screened based on the GD diagnostic tool usage, and only five scales with well-established psychometric properties were included. A total of 93 studies were included in the synthesis, and the results were classified into three groups based on biological, psychological, and social factors. Results Biological factors (n = 8) included reward, self-concept, brain structure, and functional connectivity. Psychological factors (n = 67) included psychiatric symptoms, psychological health, emotion regulation, personality traits, and other dimensions. Social factors (n = 29) included family, social interaction, culture, school, and social support. Discussion When the excess amount of assessment tools with varying psychometric properties were controlled for, mixed results were observed with regards to impulsivity, social relations, and family-related factors, and some domains suffered from a lack of study results to confirm any relevant patterns. Conclusion More longitudinal and neurobiological studies, consensus on a diagnostic tool with well-defined psychometric properties, and an in-depth understanding of gaming-related factors should be established to settle the debate regarding psychometric weaknesses of the current diagnostic system and for GD to gain greater legitimacy in the field of behavioral addiction.
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Affiliation(s)
- Rose Seoyoung Chang
- Department of Psychology, Seoul National University, Seoul, Republic of Korea
| | - Minju Lee
- Department of Psychology, Seoul National University, Seoul, Republic of Korea
| | - Jooyeon Jamie Im
- Department of Psychology, Seoul National University, Seoul, Republic of Korea
| | - Kee-Hong Choi
- School of Psychology, Korea University, Seoul, Republic of Korea
| | - Jueun Kim
- Department of Psychology, Chungnam National University, Daejeon, Republic of Korea
| | - Jeanyung Chey
- Department of Psychology, Seoul National University, Seoul, Republic of Korea
| | - Suk-Ho Shin
- Department of Child and Adolescent Psychiatry, Dr. Shin’s Neuropsychiatric Clinic, Seoul, Republic of Korea
| | - Woo-Young Ahn
- Department of Psychology, Seoul National University, Seoul, Republic of Korea
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Hofstedt A, Mide M, Arvidson E, Ljung S, Mattiasson J, Lindskog A, Söderpalm-Gordh A. Pilot data findings from the Gothenburg treatment for gaming disorder: a cognitive behavioral treatment manual. Front Psychiatry 2023; 14:1162492. [PMID: 37346899 PMCID: PMC10280023 DOI: 10.3389/fpsyt.2023.1162492] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 05/08/2023] [Indexed: 06/23/2023] Open
Abstract
Background Gaming disorder (GD) is a new diagnosis included in the latest edition of the International Classification of Disease -11. Recently conducted international studies suggest a prevalence rate close to 2% for GD, highlighting the need for effective treatments for this patient population. Internationally there are few studies investigating effective treatments specifically designed for this condition. In this pilot study, we wanted to test a newly developed method, the Gothenburg Treatment for Gaming Disorder (GOT-TO-GO) manual; a 15-week cognitive behavioral therapy treatment for GD. Method This study utilized a single group design with pretest, post-test and a three- and six-month follow-up, with measures of severity of GD and mood. The participants (n = 28) were treatment-seeking adults with GD, aged 17 to 49 years. Results The results show a statistically significant decrease in symptoms of GD after treatment. Hours of gaming per week also decreased concomitantly with a 100% increase in non-gaming leisure hours. The decrease in symptoms of GD was maintained at the 3-months follow-up after treatment. Correspondingly we saw a decrease in both depression and anxiety that also was upheld 3 months after treatment. Conclusion As GD is a new diagnostic concept more research is needed, also taking psychiatric comorbidity into consideration, to arrive at evidence-based conclusions regarding effective treatments. Considering the promising results in this small pilot study with large behavioral changes and reduced symptoms of GD, upheld at least 3 months after treatment, a larger randomized controlled study is warranted.Clinical Trial Registration: https://www.clinicaltrials.gov/ct2/show/study/NCT05328596?term=NCT05328596&draw=2&rank=1, identifier NCT05328596.
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Affiliation(s)
- Annika Hofstedt
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Addiction and Dependency, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Mikael Mide
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Addiction and Dependency, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Elin Arvidson
- Department of Addiction and Dependency, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Sofia Ljung
- Department of Addiction and Dependency, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Jessica Mattiasson
- Department of Addiction and Dependency, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Amanda Lindskog
- Department of Addiction and Dependency, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Anna Söderpalm-Gordh
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Addiction and Dependency, Sahlgrenska University Hospital, Gothenburg, Sweden
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Exploring Internet gaming disorder: an updated perspective of empirical evidence (from 2016 to 2021). Compr Psychiatry 2022; 116:152319. [PMID: 35526417 DOI: 10.1016/j.comppsych.2022.152319] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 04/07/2022] [Accepted: 04/13/2022] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND AND AIMS Since the acceptance of Internet gaming disorder (IGD) as a "disorder due to addictive behaviors", research has proliferated exponentially. The present review focuses on the conceptualization of IGD, its diagnosis and assessment, associated factors and existing prevention and treatment plans to address it. RESULTS AND CONCLUSIONS The discrepancies between the diagnostic criteria for IGD proposed by the two central diagnostic entities, as well as the questioning of their clinical validity, have generated multiple proposals for the diagnosis and psychometric evaluation of IGD. Likewise, there have been numerous suggestions to prevent this pathology, with the involvement of governments, the gaming industry and health institutions. Finally, multiple treatment plans have been proposed, both pharmacological and psychological, although only the efficacy of cognitive behavioral therapy has been tested. It is essential, therefore, to delve deeper into this disorder by addressing the central limitations of the current literature.
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Müller KW, Beutel ME, Reinecke L, Dreier M, Schemer C, Weber M, Schnauber-Stockmann A, Stark B, Quiring O, Wölfling K. Internet-Related Disorders and Their Effects on Personality Development in Adolescents from Germany-Results from a Prospective Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19010529. [PMID: 35010787 PMCID: PMC8744615 DOI: 10.3390/ijerph19010529] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 12/14/2021] [Accepted: 12/15/2021] [Indexed: 01/30/2023]
Abstract
Internet-related disorders (IRD) are increasingly becoming a major health issue. IRD are defined as the predominant use of online content, related to a loss of control and continued use despite negative consequences. Despite findings from cross-sectional studies, the causality of pathways accelerating the development of IRD are unclear. While etiological models emphasize the role of personality as risk factor, mutual influences between IRD and personality have not been examined. A prospective study with two assessments was conducted with n = 941 adolescents (mean age of 13.1 years; 10–17 years). Our aim was to validate etiological assumptions and to examine the effects of IRD-symptoms on the maturation of personality. IRD were measured with the Scale of the Assessment of Internet and Computer game Addiction (AICA-S). Personality traits were assessed using the Brief Five Factor Inventory (BFI). Conscientiousness and neuroticism were predictive for IRD symptoms one year later, and were likewise prone to changes depending on incidence or remission of IRD. Conscientiousness and openness moderated the course of IRD symptoms. Our findings point to complex trait–pathology associations. Personality influences the risk of development and maintenance of IRD symptoms and pre-existing IRD-symptoms affect the development of personality. Adaptations to etiological models are discussed and perspectives for novel intervention strategies are suggested.
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Affiliation(s)
- Kai W. Müller
- Outpatient Clinic for Behavioral Addiction, Department of Psychosomatic Medicine and Psychotherapy, University Medical Center, Johannes Gutenberg University Mainz, 55131 Mainz, Germany; (M.E.B.); (M.D.); (K.W.)
- Correspondence:
| | - Manfred E. Beutel
- Outpatient Clinic for Behavioral Addiction, Department of Psychosomatic Medicine and Psychotherapy, University Medical Center, Johannes Gutenberg University Mainz, 55131 Mainz, Germany; (M.E.B.); (M.D.); (K.W.)
| | - Leonard Reinecke
- Department of Communication, Johannes Gutenberg University Mainz, 55128 Mainz, Germany; (L.R.); (C.S.); (M.W.); (A.S.-S.); (B.S.); (O.Q.)
| | - Michael Dreier
- Outpatient Clinic for Behavioral Addiction, Department of Psychosomatic Medicine and Psychotherapy, University Medical Center, Johannes Gutenberg University Mainz, 55131 Mainz, Germany; (M.E.B.); (M.D.); (K.W.)
| | - Christian Schemer
- Department of Communication, Johannes Gutenberg University Mainz, 55128 Mainz, Germany; (L.R.); (C.S.); (M.W.); (A.S.-S.); (B.S.); (O.Q.)
| | - Mathias Weber
- Department of Communication, Johannes Gutenberg University Mainz, 55128 Mainz, Germany; (L.R.); (C.S.); (M.W.); (A.S.-S.); (B.S.); (O.Q.)
| | - Anna Schnauber-Stockmann
- Department of Communication, Johannes Gutenberg University Mainz, 55128 Mainz, Germany; (L.R.); (C.S.); (M.W.); (A.S.-S.); (B.S.); (O.Q.)
| | - Birgit Stark
- Department of Communication, Johannes Gutenberg University Mainz, 55128 Mainz, Germany; (L.R.); (C.S.); (M.W.); (A.S.-S.); (B.S.); (O.Q.)
| | - Oliver Quiring
- Department of Communication, Johannes Gutenberg University Mainz, 55128 Mainz, Germany; (L.R.); (C.S.); (M.W.); (A.S.-S.); (B.S.); (O.Q.)
| | - Klaus Wölfling
- Outpatient Clinic for Behavioral Addiction, Department of Psychosomatic Medicine and Psychotherapy, University Medical Center, Johannes Gutenberg University Mainz, 55131 Mainz, Germany; (M.E.B.); (M.D.); (K.W.)
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Granero R, Fernández-Aranda F, Castro-Calvo J, Billieux J, Valero-Solís S, Mora-Maltas B, Rivas-Pérez S, Valenciano-Mendoza E, Del Pino-Gutiérrez A, Gómez-Peña M, Moragas L, Baenas I, Mena-Moreno T, Casalé-Salayet G, Codina E, González-Bueso V, Santamaría JJ, Baño M, Menchón JM, Jiménez-Murcia S. Subtyping treatment-seeking gaming disorder patients. Addict Behav 2021; 123:107086. [PMID: 34450349 DOI: 10.1016/j.addbeh.2021.107086] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 08/11/2021] [Accepted: 08/11/2021] [Indexed: 12/11/2022]
Abstract
BACKGROUND AND AIMS Gaming Disorder (GD) is characterized by a pattern of persistent and uncontrolled gaming behavior that causes a marked impairment in important areas of functioning. The evolution of the worldwide incidence of this disorder warrants further studies focused on examining the existence of different subtypes within clinical samples, in order to tailor treatment. This study explored the existence of different profiles of patients seeking treatment for GD through a data-driven approach. METHODS The sample included n = 107 patients receiving treatment for GD (92% men and 8% women) ranging between 14 and 60 years old (mean age = 24.1, SD = 10). A two-step clustering analysis approach explored the existence of different underlying GD profiles based on a broad set of indicators, including sociodemographic features, clinical course of the condition (e.g., onset or evolution), psychopathological symptoms, and personality traits. RESULTS Two GD profiles emerged. The first cluster grouped together patients who presented with a lower psychological impact (n = 72, 66.1%), whereas the second cluster comprised patients with a higher psychological impact (n = 35, 32.7%). Cluster comparisons revealed that those patients presenting the higher impact were older, with a later onset of pathological gaming patterns, and more pronounced psychopathological symptoms and dysfunctional personality profiles. CONCLUSIONS GD severity is influenced by specific demographic, clinical, and psychopathological factors. The identification of two separate profiles provides empirical evidence that contributes to the conceptualization of this disorder, as well as to the development of reliable and valid screening tools and effective intervention plans focused on the precise characteristics of the treatment-seeking patients.
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Affiliation(s)
- Roser Granero
- Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto Salud Carlos III, Madrid, Spain; Department of Psychobiology and Methodology, Autonomous University of Barcelona, Barcelona, Spain.
| | - Fernando Fernández-Aranda
- Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto Salud Carlos III, Madrid, Spain; Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain; Psychiatry and Mental Health Group, Neuroscience Program, Institut d'Investigació Biomèdica de Bellvitge - IDIBELL, L'Hospitalet de Llobregat, Spain; Department of Clinical Sciences, School of Medicine, Universitat de Barcelona - UB, L'Hospitalet de Llobregat, Spain.
| | - Jesús Castro-Calvo
- Department of Personality, Assessment, and Psychological Treatments, University of Valencia, Valencia, Spain.
| | - Joël Billieux
- Institute of Psychology, University of Lausanne, Lausanne, Switzerland; Centre for Excessive Gambling, Addiction Medicine, Lausanne University Hospitals (CHUV), Lausanne, Switzerland.
| | - Susana Valero-Solís
- Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain
| | - Bernat Mora-Maltas
- Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain.
| | - Sandra Rivas-Pérez
- Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain.
| | | | - Amparo Del Pino-Gutiérrez
- Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto Salud Carlos III, Madrid, Spain; Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain; Department of Public Health, Mental Health and Maternal-Child Nursing, School of Nursing, University of Barcelona, Barcelona, Spain.
| | - Mónica Gómez-Peña
- Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain.
| | - Laura Moragas
- Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain.
| | - Isabel Baenas
- Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto Salud Carlos III, Madrid, Spain; Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain.
| | - Teresa Mena-Moreno
- Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain.
| | - Gemma Casalé-Salayet
- Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain.
| | - Ester Codina
- Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain.
| | - Vega González-Bueso
- Atención e Investigación en Socioadicciones (AIS), Mental Health and Addictions Network, Generalitat de Catalunya (XHUB), Barcelona, Spain.
| | - Juan Jose Santamaría
- Atención e Investigación en Socioadicciones (AIS), Mental Health and Addictions Network, Generalitat de Catalunya (XHUB), Barcelona, Spain.
| | - Marta Baño
- Atención e Investigación en Socioadicciones (AIS), Mental Health and Addictions Network, Generalitat de Catalunya (XHUB), Barcelona, Spain.
| | - José M Menchón
- Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain; Psychiatry and Mental Health Group, Neuroscience Program, Institut d'Investigació Biomèdica de Bellvitge - IDIBELL, L'Hospitalet de Llobregat, Spain; Department of Clinical Sciences, School of Medicine, Universitat de Barcelona - UB, L'Hospitalet de Llobregat, Spain; Ciber Salut Mental (CIBERSam), Instituto de Salud Carlos III. Madrid, Spain.
| | - Susana Jiménez-Murcia
- Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto Salud Carlos III, Madrid, Spain; Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain; Psychiatry and Mental Health Group, Neuroscience Program, Institut d'Investigació Biomèdica de Bellvitge - IDIBELL, L'Hospitalet de Llobregat, Spain; Department of Clinical Sciences, School of Medicine, Universitat de Barcelona - UB, L'Hospitalet de Llobregat, Spain.
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