Clarification of the Cut-off Score for Nine-Item Internet Gaming Disorder Scale–Short Form (IGDS9-SF) in a Chinese Context

Qin, Lixia; Cheng, Limei; Hu, Maorong; Liu, Qiaosheng; Tong, Jianqin; Hao, Wei; Luo, Tao; Liao, Yanhui

doi:10.3389/fpsyt.2020.00470

Cited by 69 publications

(49 citation statements)

References 18 publications

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“…This can substantially reduce the time for clinicians to diagnose and assess IGD symptoms. To this end, clinical studies have suggested adopting a cutoff of 32 points when diagnosing between disordered and nondisordered gamers [ 67 ]. Moreover, due to the robust psychometric properties reported across 15 language versions, the IGDS9-SF can also be used in worldwide epidemiological studies examining IGD [ 40 ].…”

Section: Discussionmentioning

confidence: 99%

Psychometric Properties of the Internet Gaming Disorder Scale–Short-Form (IGDS9-SF): Systematic Review

Poon¹,

Tsang²,

Chan³

et al. 2021

J Med Internet Res

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Background The Internet Gaming Disorder Scale–Short-Form (IGDS9-SF) is among the best with regard to its psychometric properties. Therefore, clinical psychologists are likely guided to use the IGDS9-SF if they want to assess or screen the disordered gaming in their practice. However, the information, especially psychometric evidence, concerning the IGDS9-SF has not been fully examined and summarized. Objective This systematic review evaluated the psychometric properties of different language versions of the IGDS9-SF and assessed its methodological quality in order to improve the clinicians’ understanding of the IGDS9-SF and facilitate its use. Methods Systematic literature searches were carried out using Embase, MEDLINE, PsycINFO, PubMed, ScienceDirect, Scopus, and Web of Science. The review included English-language studies of any research design that have reported at least one psychometric property of the IGDS9-SF, as defined by the COnsensus-based Standards for the selection of health status Measurement INstrument (COSMIN), and have aimed at testing the psychometric properties of the IGDS9-SF. Results In total, 21 studies comprising 15 language versions of the IGDS9-SF were included. Overall, the IGDS9-SF showed adequate internal consistency (although some items did not have satisfactory item-total correlation [IT]), excellent criterion validity, and the ability to distinguish different subgroups with measurement invariance being supported across gender and age. In terms of factor structure, the IGDS9-SF was shown to have a unidimensional factor structure across all 21 studies. Conclusions Although there is insufficient evidence regarding the responsiveness and properties of the IGDS9-SF using item response theory, the existing evidence supports its use in assessing disordered gaming among individuals.

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Section: Discussionmentioning

confidence: 99%

Psychometric Properties of the Internet Gaming Disorder Scale–Short-Form (IGDS9-SF): Systematic Review

Poon¹,

Tsang²,

Chan³

et al. 2021

J Med Internet Res

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“…The PGSI is a 9-item, well-validated measure of problematic gambling, with response options of “never” (scored 0), “sometimes” (scored 1), “often” (scored 2), and “almost always” (scored 3), giving a total score between 0 and 27, with scores of 3–7 indicating moderate-risk gambling and 8 or over indicating problem gambler status [ 28 ]. The IGD is a 9-item, well-validated measure of problematic gaming, scored on a 5-point Likert-scale, with a possible range from 9 to 45, with higher scores indicating more severe problems, and a score of 32 or above used to indicate “disordered gaming” [ 30 ]. Table 1 summarises sample demographic characteristics, PGSI and IGD scores, and loot box expenditure.…”

Section: Methodsmentioning

confidence: 99%

“It’s the Attraction of Winning That Draws You in”—A Qualitative Investigation of Reasons and Facilitators for Videogame Loot Box Engagement in UK Gamers

Nicklin

Spicer

et al. 2021

JCM

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Excessive engagement with (increasingly prevalent) loot boxes within games has consistently been linked with disordered gambling and/or gaming. The importance of recognising and managing potential risks associated with loot box involvement means understanding contributing factors is a pressing research priority. Given that motivations for gaming and gambling have been informative in understanding risky engagement with those behaviours, this qualitative study investigated motivations for buying loot boxes, through in-depth interviews with 28 gamers from across the UK. A reflexive thematic analysis categorised reasons for buying into seven “themes”; opening experience; value of box contents; game-related elements; social influences; emotive/impulsive influences; fear of missing out; triggers/facilitators. These themes are described in detail and discussed in relation to the existing literature and motivation theories. This study contributes to understanding ways in which digital items within loot boxes can be highly valued by purchasers, informing the debate around parallels with gambling. Findings that certain motivations were disproportionately endorsed by participants with symptoms of problematic gambling has potential implications for policy and warrants further study.

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“…The total score can range between 9 and 45. A recent study identified a cut-off value of 21, in order to distinguish disordered and non-disordered gamers [18]. The scale was validated in the Italian language by Monacis et al [19].…”

Section: Instrumentsmentioning

confidence: 99%

Autistic Traits and Attention-Deficit Hyperactivity Disorder Symptoms Predict the Severity of Internet Gaming Disorder in an Italian Adult Population

et al. 2021

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Over the last decade, internet gaming has been a fast-growing recreational activity. Gamers risk their leisure activity becoming an addiction. In the present study, we aimed to measure the prevalence of Internet Gaming Disorder (IGD) in an adult population of video game players and to investigate the association between demographic variables, Autism Spectrum Disorder (ASD) traits, Attention-Deficit Hyperactivity Disorder (ADHD) severity, and IGD in adults. Through an online survey, we recruited 4260 individuals aged between 18 and 55 years old, who were members of online communities of video gamers. We collected demographic data and administered three questionnaires: the Internet Gaming Disorder Scale-Short Form (IGD9-SF), the Autism Spectrum Quotient (AQ), and the Adult ADHD Self-Report Scale (ASRS). Of the overall sample, 29.67% scored above the cut-off of 21 points for the IGD9-SF. Multiple linear regression models showed that daily spare time, autistic traits, and ADHD symptoms were positively associated with the severity of IGD in adults, after controlling for demographic variables. Future studies are required in order to explore factors linked to IGD in adults.

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Clarification of the Cut-off Score for Nine-Item Internet Gaming Disorder Scale–Short Form (IGDS9-SF) in a Chinese Context

Cited by 69 publications

References 18 publications

Psychometric Properties of the Internet Gaming Disorder Scale–Short-Form (IGDS9-SF): Systematic Review

Psychometric Properties of the Internet Gaming Disorder Scale–Short-Form (IGDS9-SF): Systematic Review

“It’s the Attraction of Winning That Draws You in”—A Qualitative Investigation of Reasons and Facilitators for Videogame Loot Box Engagement in UK Gamers

Autistic Traits and Attention-Deficit Hyperactivity Disorder Symptoms Predict the Severity of Internet Gaming Disorder in an Italian Adult Population

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