Min-fang Kang , Lin-xuan Xu , Jia-lin Zhang , Kun-ru Song , Zi-liang Wang , Xiao-yi Fang , Henrietta Bowden-Jones , Stefano Pallanti , Jin-tao Zhang
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This study aimed to empirically identify distinct IGD stages.</div></div><div><h3>Methods</h3><div>Employing a mixed design with three Chinese gamer samples (adolescent: N = 2,061, M<sub>age</sub> = 16.90 for main study; longitudinal cohort: N = 662, M<sub>age</sub> = 17.03 for transition analysis; young adult: N = 741, M<sub>age</sub> = 23.68 for validation), participants completed the Stages of Internet Gaming Disorder Scale (S-IGDS), a self-developed tool assessing core phenotypes, plus measures of craving, IGD symptoms, gaming experiences and life satisfaction. Latent Profile Analysis and k-means clustering identified distinct stages; Latent Transition Analysis tested stage progression. Psychometric properties of the S-IGDS were evaluated.</div></div><div><h3>Results</h3><div>Three stages were identified: <em>Stage 0</em> (Non-IGD), <em>Stage 1</em> (Early Risk-IGD), and <em>Stage 2</em> (Later IGD), progressing from a “high euphoria” phase to a “high compulsivity” phase. The results from LPA and k-means clustering were highly consistent. The S-IGDS exhibited a stable factor structure and robust psychometric properties. Stage progression showed moderate one-year stability (56.83%), with a high probability (74.2% to 98.2%) of transition to adjacent stages. Patterns were similar in young adults.</div></div><div><h3>Conclusions</h3><div>This study provides novel evidence for distinct, empirically-derived IGD stages, highlighting the progression defined by the interplay of euphoria and compulsivity. The S-IGDS offers a reliable and valid tool for assessing an individual’s status along the IGD continuum. This provides a more nuanced understanding of IGD and paves the way for personalized and stratified interventions.</div></div>","PeriodicalId":7155,"journal":{"name":"Addictive behaviors","volume":"171 ","pages":"Article 108457"},"PeriodicalIF":3.6000,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Exploring the heterogeneity of internet gaming disorder: a stage-based framework characterized by evolving euphoria and compulsivity\",\"authors\":\"Min-fang Kang , Lin-xuan Xu , Jia-lin Zhang , Kun-ru Song , Zi-liang Wang , Xiao-yi Fang , Henrietta Bowden-Jones , Stefano Pallanti , Jin-tao Zhang\",\"doi\":\"10.1016/j.addbeh.2025.108457\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Introduction</h3><div>Existing diagnosis systems, such as DSM-5 and ICD-11, predominantly rely on a dichotomous approach, flat, cross-sectional definitions of Internet Gaming Disorder (IGD) that fail to capture the persistent, evolving nature and may contribute to heterogeneity. Applying a clinical staging approach, we propose that IGD spans a continuum with early stages marked by euphoria from gaming and later stages by compulsive gaming. This study aimed to empirically identify distinct IGD stages.</div></div><div><h3>Methods</h3><div>Employing a mixed design with three Chinese gamer samples (adolescent: N = 2,061, M<sub>age</sub> = 16.90 for main study; longitudinal cohort: N = 662, M<sub>age</sub> = 17.03 for transition analysis; young adult: N = 741, M<sub>age</sub> = 23.68 for validation), participants completed the Stages of Internet Gaming Disorder Scale (S-IGDS), a self-developed tool assessing core phenotypes, plus measures of craving, IGD symptoms, gaming experiences and life satisfaction. Latent Profile Analysis and k-means clustering identified distinct stages; Latent Transition Analysis tested stage progression. Psychometric properties of the S-IGDS were evaluated.</div></div><div><h3>Results</h3><div>Three stages were identified: <em>Stage 0</em> (Non-IGD), <em>Stage 1</em> (Early Risk-IGD), and <em>Stage 2</em> (Later IGD), progressing from a “high euphoria” phase to a “high compulsivity” phase. The results from LPA and k-means clustering were highly consistent. The S-IGDS exhibited a stable factor structure and robust psychometric properties. Stage progression showed moderate one-year stability (56.83%), with a high probability (74.2% to 98.2%) of transition to adjacent stages. Patterns were similar in young adults.</div></div><div><h3>Conclusions</h3><div>This study provides novel evidence for distinct, empirically-derived IGD stages, highlighting the progression defined by the interplay of euphoria and compulsivity. The S-IGDS offers a reliable and valid tool for assessing an individual’s status along the IGD continuum. 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Exploring the heterogeneity of internet gaming disorder: a stage-based framework characterized by evolving euphoria and compulsivity
Introduction
Existing diagnosis systems, such as DSM-5 and ICD-11, predominantly rely on a dichotomous approach, flat, cross-sectional definitions of Internet Gaming Disorder (IGD) that fail to capture the persistent, evolving nature and may contribute to heterogeneity. Applying a clinical staging approach, we propose that IGD spans a continuum with early stages marked by euphoria from gaming and later stages by compulsive gaming. This study aimed to empirically identify distinct IGD stages.
Methods
Employing a mixed design with three Chinese gamer samples (adolescent: N = 2,061, Mage = 16.90 for main study; longitudinal cohort: N = 662, Mage = 17.03 for transition analysis; young adult: N = 741, Mage = 23.68 for validation), participants completed the Stages of Internet Gaming Disorder Scale (S-IGDS), a self-developed tool assessing core phenotypes, plus measures of craving, IGD symptoms, gaming experiences and life satisfaction. Latent Profile Analysis and k-means clustering identified distinct stages; Latent Transition Analysis tested stage progression. Psychometric properties of the S-IGDS were evaluated.
Results
Three stages were identified: Stage 0 (Non-IGD), Stage 1 (Early Risk-IGD), and Stage 2 (Later IGD), progressing from a “high euphoria” phase to a “high compulsivity” phase. The results from LPA and k-means clustering were highly consistent. The S-IGDS exhibited a stable factor structure and robust psychometric properties. Stage progression showed moderate one-year stability (56.83%), with a high probability (74.2% to 98.2%) of transition to adjacent stages. Patterns were similar in young adults.
Conclusions
This study provides novel evidence for distinct, empirically-derived IGD stages, highlighting the progression defined by the interplay of euphoria and compulsivity. The S-IGDS offers a reliable and valid tool for assessing an individual’s status along the IGD continuum. This provides a more nuanced understanding of IGD and paves the way for personalized and stratified interventions.
期刊介绍:
Addictive Behaviors is an international peer-reviewed journal publishing high quality human research on addictive behaviors and disorders since 1975. The journal accepts submissions of full-length papers and short communications on substance-related addictions such as the abuse of alcohol, drugs and nicotine, and behavioral addictions involving gambling and technology. We primarily publish behavioral and psychosocial research but our articles span the fields of psychology, sociology, psychiatry, epidemiology, social policy, medicine, pharmacology and neuroscience. While theoretical orientations are diverse, the emphasis of the journal is primarily empirical. That is, sound experimental design combined with valid, reliable assessment and evaluation procedures are a requisite for acceptance. However, innovative and empirically oriented case studies that might encourage new lines of inquiry are accepted as well. Studies that clearly contribute to current knowledge of etiology, prevention, social policy or treatment are given priority. Scholarly commentaries on topical issues, systematic reviews, and mini reviews are encouraged. We especially welcome multimedia papers that incorporate video or audio components to better display methodology or findings.
Studies can also be submitted to Addictive Behaviors? companion title, the open access journal Addictive Behaviors Reports, which has a particular interest in ''non-traditional'', innovative and empirically-oriented research such as negative/null data papers, replication studies, case reports on novel treatments, and cross-cultural research.