Internet gaming disorder and gaming disorder in the context of seeking and not seeking treatment for video-gaming

Starčević, Vladan; Choi, Tae Young; Kim, Tae Ho; Yoo, Seo-Koo; Bae, Sujin; Choi, Byung-Sun; Han, Doug Hyun

doi:10.1016/j.jpsychires.2020.06.007

Cited by 32 publications

(34 citation statements)

References 24 publications

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“…While IGD research has not yet established a consensus "gold standard" method of clinical diagnosis, gold standards in other psychiatric disorders near-universally involve clinicians' evaluations, sometimes in conjunction with (semi-)structured interviews and/or self-report measures (Aboraya et al, 2005). Given the recency of IGD's proposal, however, results of clinical assessment in line with the DSM-5 comprise a relatively small portion of the literature (although for counter-examples see e.g., Starcevic et al;Granero et al, 2021). Instead, both IGD and distress are often measured using self-report measures alone, and the measurement and modelling of these is subject to substantial analytical flexibility.…”

Section: Flexibility In the Assessment Of Igd And Distressmentioning

confidence: 99%

“Clinically significant distress” in internet gaming disorder: An individual participant meta-analysis

Ballou

Zendle

2022

Computers in Human Behavior

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Although the validity of internet gaming disorder (IGD) in the DSM-5 hinges on a relationship between 5 or more IGD symptoms and "clinically significant impairment and/or distress", to date most studies have focused on statistical significance. To address this, we conduct an individual participant meta-analysis comprised of primary data from 15 studies (n = 38,851). Study 1 finds that meeting the DSM-5's proposed 5/9 diagnostic threshold is associated with d = .65 greater distress across 21 well-being constructs, which exceeds a conservative anchor for clinical significance. However, we also find that classifying participants above and below the 5/9 threshold has little power to reject that threshold: a 2/9 cut-off predicts similarly large differences. Study 2 shows that dimensional (continuous) modelling of IGD scores offers a more severe test of the proposed threshold. Finally, study 3 reveals that three criteria-preoccupation, tolerance, and loss of control-are roughly half as predictive of distress as withdrawal and escapism, highlighting limitations also present in dimensional modelling and suggesting the need to modify or remove these. In sum, we do not find evidence for invalidating IGD as proposed, but do identify issues with threshold-based categorization, inadequate differentiation between statistical and clinical significance, and the inclusion of potentially flawed criteria. We argue that these are possible negative consequences of a premature switch to confirmatory research on IGD.

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Section: Flexibility In the Assessment Of Igd And Distressmentioning

confidence: 99%

“Clinically significant distress” in internet gaming disorder: An individual participant meta-analysis

Ballou

Zendle

2022

Computers in Human Behavior

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“…This means that countries like South Korea can have thousands of individuals in medical interventions due to screening-based disorder risk. That said, due to the screening tools' tendency to over-pathologize healthy individuals (Boonen et al 2018;Ferguson, Coulson & Barnett 2011) and considering South Korea's specific cultural context where it is common for parents to interfere with their children's gaming (Carbonell 2017;Jeong, Ferguson & Lee 2019), a large part of the individuals participating in such intervention do not suffer from actual clinically significant symptoms (Starcevic et al 2020). In Finland where our study will be carried out, in turn, medical services for gaming-related health problems are scarce and rarely used (see below), and the Finnish government does not screen schools or other institutions for gaming problems.…”

Section: Participantsmentioning

confidence: 99%

“…Because the literature relies mainly on surveys, the labels typically derive from screening tools that claim to measure 'videogame addiction', 'gaming disorder', and other such constructs, which may or may not be consistent with the diagnostic criteria in the ICD-11 (King et al 2020;Karhulahti et al 2021a). It is beyond the scope of this study to assess the clinical status of our participantslongitudinal studies with clinical expert interviews are needed to investigate the health scenarios of gaming treatment-seekers (see Ko et al 2020;Starcevic, et al 2020)-therefore, the link between our study and gaming disorder (in the ICD-11) is determined by treatmentseeking alone. Although this is arguably a much stronger link than those established by screening tools (see Satchell et al 2021;van Rooij et al 2018), we stress that our participants may not meet diagnostic gaming disorder criteria despite their treatment-seeking.…”

Section: Introductionmentioning

confidence: 99%

Phenomenological Strands for Gaming Disorder and Esports Play: A Qualitative Registered Report

Karhulahti¹,

Siutila²,

Vahlo³

et al. 2021

Preprint

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The recent inclusion of gaming disorder in the ICD-11 as a mental disorder has further increased the importance of researching the health spectrum related to gaming. A critical area in this regard is the lack of clarity concerning the differences between gaming disorder and intensive play, the latter of which often involves several gaming hours per day without related health problems especially among the players of the recently emerged esports games. In this study, we approach the above question by interpretive phenomenological analysis with interviews in two groups of highly involved videogame players: those who seek or have sought clinical help for their problems with gaming (n=5–15), and those who play esports more than 4 hours per day without self-reported related health problems (n=10–15). The interviews will be carried out by using a new 53-point Phenomenology of Play (POP) interview frame. These data are contextualized with interviews of medical experts (n=5–15) who have experience of working with the former group. All player interviews are repeated after 12 months. The project has two publication outcomes, from first and second round data, respectively. [Red font: parts that represent second-round interviews and second output.]

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“…The first question, regarding the participant's Internet game play history, asked, "When you were an adolescent, did you engage in internet gaming at least once a week for 1 year?" The one-week frequency and one-year duration mentioned in the question were based on the IGD research (33) and diagnostic criteria in the DSM-5 (6). The second question, on problematic Internet game play history, asked, "When you were an adolescent, did anyone, important, or close to you consider your gaming to be a problem?"…”

Section: Pattern Of Internet Gamingmentioning

confidence: 99%

“…The second question, on problematic Internet game play history, asked, "When you were an adolescent, did anyone, important, or close to you consider your gaming to be a problem?" This question has also been used in the IGD research (33).…”

Section: Pattern Of Internet Gamingmentioning

confidence: 99%

Association Between Adolescent Internet Gaming and Adult Problematic Web-Based Board Gaming

et al. 2021

Self Cite

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Introduction: The results of studies comparing the characteristics of Internet gaming with those of Internet gambling have been controversial. We hypothesized that problematic web-based board gaming behaviors are associated with psychological and social interaction factors. We also hypothesized that non-problematic adolescent Internet gaming is a protective factor against problematic web-based board gaming and that problematic Internet gaming is a predictive factor for problematic web-based board gaming.Methods: We recruited 104 adults who reported engaging in web-based gaming. All participants were asked to complete the Problematic Web Board Gameplay Scale, Center for Epidemiologic Studies Depression Scale (CESD), State-Trait Anxiety Inventory (STAI), Adult Attention Deficit/Hyperactivity Disorder Self-Report Scale (K-AADHD), Family Environmental Scale (FES), Social Avoidance and Distress Scale (SADS), and questionnaires on their web-based board gaming patterns and Internet gaming history.Results: Problematic web-based board gamers showed a lower history of adolescent Internet gaming but a greater rate of problematic Internet gaming compared with healthy web-based board gamers. Moreover, problematic web-based board gamers showed an increase in CES-D, STAI, K-AADHD, and SADS scores but decreased FES scores compared with healthy web-based board gamers. Joblessness; less experience as an Internet gamer; a history of problematic Internet gaming; higher CES-D, STAI, and K-AADHD scores; and lower FES scores were significant predictors of problematic web-based board gaming.Discussion: Psychological, social, and environmental factors can positively influence problematic Web-based board gaming. Healthy Internet gaming during adolescence may play a preventive role in adult problematic web-based board gaming. However, because adolescent problematic Internet gaming tends to lead to problematic web-based board gaming, measures should be taken to prevent it.

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Internet gaming disorder and gaming disorder in the context of seeking and not seeking treatment for video-gaming

Cited by 32 publications

References 24 publications

“Clinically significant distress” in internet gaming disorder: An individual participant meta-analysis

“Clinically significant distress” in internet gaming disorder: An individual participant meta-analysis

Phenomenological Strands for Gaming Disorder and Esports Play: A Qualitative Registered Report

Association Between Adolescent Internet Gaming and Adult Problematic Web-Based Board Gaming

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