Evaluation of the Psychometric Properties of the Chinese Internet Gaming Disorder Checklist (C-IGDC) Among Chinese Adolescents

Overview

Journal Front Psychiatry

Specialty Psychiatry

Date 2021 Sep 30

PMID 34589007

Citations 3

Authors

Juliet Honglei Chen

Xiaoyu Su

Le Dang

Anise M S Wu

Affiliations

Soon will be listed here.

Abstract

As the first based, multidimensional screening tool of Internet gaming disorder (IGD) designed for Chinese gamers, the Chinese Internet Gaming Disorder Checklist (C-IGDC) has shown satisfactory psychometric properties among Chinese young adults. Given the high vulnerability to IGD among adolescents, the present study aimed to examine the applicability of C-IGDC to Chinese adolescents to address shortfalls in the existing literature regarding the assessment of adolescent IGD screening. Through a two-stage sampling method in a cross-sectional survey, we obtained a sample of 1,253 Chinese past-year adolescent gamers (43.8% female; = 14.49 years, = 1.60 years) from local junior or senior high schools in Macao, China for data analysis. Our results confirmed a good model fit of the original two-level, nine-subfactor structure of the 27-item C-IGDC, and indicated adequate internal consistency and test-retest reliability, as well as good concurrent validity as evidenced by expected associations with IGD functioning impairments, gameplay characteristics, and depressive symptoms. An optimal screening cutoff score (≥20) was proposed to identify probable disordered gamers among Chinese adolescents with past-year gaming experience. The findings support the extended use of C-IGDC to Chinese adolescents as a reliable and valid assessment tool for evaluating IGD severity levels and screening for probable IGD cases. Its use can facilitate a proper screening procedure for probable IGD cases in both school and clinical settings.

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References

Kiraly O, Sleczka P, Pontes H, Urban R, Griffiths M, Demetrovics Z . Validation of the Ten-Item Internet Gaming Disorder Test (IGDT-10) and evaluation of the nine DSM-5 Internet Gaming Disorder criteria. Addict Behav. 2015; 64:253-260. DOI: 10.1016/j.addbeh.2015.11.005. View

Ko C, Chen S, Wang C, Tsai W, Yen J . The Clinical Utility of the Chen Internet Addiction Scale-Gaming Version, for Internet Gaming Disorder in the DSM-5 among Young Adults. Int J Environ Res Public Health. 2019; 16(21). PMC: 6861938. DOI: 10.3390/ijerph16214141. View

Lin Y, Chiang C, Lin P, Chang L, Ko C, Lee Y . Proposed Diagnostic Criteria for Smartphone Addiction. PLoS One. 2016; 11(11):e0163010. PMC: 5112893. DOI: 10.1371/journal.pone.0163010. View

Gentile D . Pathological video-game use among youth ages 8 to 18: a national study. Psychol Sci. 2009; 20(5):594-602. DOI: 10.1111/j.1467-9280.2009.02340.x. View

Hung Hui B, Wu A, Siu N, Chung M, Pun N . The Effects of Need Satisfaction and Dissatisfaction on Flourishing among Young Chinese Gamers: The Mediating Role of Internet Gaming Disorder. Int J Environ Res Public Health. 2019; 16(22). PMC: 6888209. DOI: 10.3390/ijerph16224367. View

Yu C, Li X, Zhang W . Predicting adolescent problematic online game use from teacher autonomy support, basic psychological needs satisfaction, and school engagement: a 2-year longitudinal study. Cyberpsychol Behav Soc Netw. 2015; 18(4):228-33. DOI: 10.1089/cyber.2014.0385. View

Mackinnon A . A spreadsheet for the calculation of comprehensive statistics for the assessment of diagnostic tests and inter-rater agreement. Comput Biol Med. 2000; 30(3):127-34. DOI: 10.1016/s0010-4825(00)00006-8. View

Chia D, Ng C, Kandasami G, Seow M, Choo C, Chew P . Prevalence of Internet Addiction and Gaming Disorders in Southeast Asia: A Meta-Analysis. Int J Environ Res Public Health. 2020; 17(7). PMC: 7177828. DOI: 10.3390/ijerph17072582. View

Dreier M, Wolfling K, Duven E, Giralt S, Beutel M, Muller K . Free-to-play: About addicted Whales, at risk Dolphins and healthy Minnows. Monetarization design and Internet Gaming Disorder. Addict Behav. 2016; 64:328-333. DOI: 10.1016/j.addbeh.2016.03.008. View

10.

Wang C, Chan C, Mak K, Ho S, Wong P, Ho R . Prevalence and correlates of video and internet gaming addiction among Hong Kong adolescents: a pilot study. ScientificWorldJournal. 2014; 2014:874648. PMC: 4083269. DOI: 10.1155/2014/874648. View

11.

Lowe B, Spitzer R, Grafe K, Kroenke K, Quenter A, Zipfel S . Comparative validity of three screening questionnaires for DSM-IV depressive disorders and physicians' diagnoses. J Affect Disord. 2004; 78(2):131-40. DOI: 10.1016/s0165-0327(02)00237-9. View

12.

Mannikko N, Ruotsalainen H, Miettunen J, Pontes H, Kaariainen M . Problematic gaming behaviour and health-related outcomes: A systematic review and meta-analysis. J Health Psychol. 2017; 25(1):67-81. DOI: 10.1177/1359105317740414. View

13.

Chen J, Zhang M, Ko C, Tong K, Yu S, Sou E . The Development of a Screening Tool for Chinese Disordered Gamers: The Chinese Internet Gaming Disorder Checklist (C-IGDC). Int J Environ Res Public Health. 2020; 17(10). PMC: 7277076. DOI: 10.3390/ijerph17103412. View

14.

Yam C, Pakpour A, Griffiths M, Yau W, Lo C, Ng J . Psychometric Testing of Three Chinese Online-Related Addictive Behavior Instruments among Hong Kong University Students. Psychiatr Q. 2018; 90(1):117-128. DOI: 10.1007/s11126-018-9610-7. View

15.

Wang C, Ho R, Chan C, Tse S . Exploring personality characteristics of Chinese adolescents with internet-related addictive behaviors: trait differences for gaming addiction and social networking addiction. Addict Behav. 2014; 42:32-5. DOI: 10.1016/j.addbeh.2014.10.039. View

16.

Gentile D, Bailey K, Bavelier D, Brockmyer J, Cash H, Coyne S . Internet Gaming Disorder in Children and Adolescents. Pediatrics. 2017; 140(Suppl 2):S81-S85. DOI: 10.1542/peds.2016-1758H. View

17.

Wirth R, Edwards M . Item factor analysis: current approaches and future directions. Psychol Methods. 2007; 12(1):58-79. PMC: 3162326. DOI: 10.1037/1082-989X.12.1.58. View

18.

Pontes H, Kiraly O, Demetrovics Z, Griffiths M . The conceptualisation and measurement of DSM-5 Internet Gaming Disorder: the development of the IGD-20 Test. PLoS One. 2014; 9(10):e110137. PMC: 4196957. DOI: 10.1371/journal.pone.0110137. View

19.

Ostinelli E, Zangani C, Giordano B, Maestri D, Gambini O, DAgostino A . Depressive symptoms and depression in individuals with internet gaming disorder: A systematic review and meta-analysis. J Affect Disord. 2021; 284:136-142. DOI: 10.1016/j.jad.2021.02.014. View

20.

King D, Delfabbro P, Perales J, Deleuze J, Kiraly O, Krossbakken E . Maladaptive player-game relationships in problematic gaming and gaming disorder: A systematic review. Clin Psychol Rev. 2019; 73:101777. DOI: 10.1016/j.cpr.2019.101777. View