Psychometric properties of the Indonesian Ten-item Internet Gaming Disorder Test and a latent class analysis of gamer population among youths

被引:7
作者
Siste, Kristiana [1 ]
Hanafi, Enjeline [1 ]
Sen, Lee Thung [1 ]
Damayanti, Reza [1 ]
Beatrice, Evania [1 ]
Ismail, Raden Irawati [1 ]
机构
[1] Univ Indonesia Dr, Cipto Mangunkusumo Gen Hosp, Fac Med, Dept Psychiat, Jakarta, Indonesia
关键词
MENTAL-DISORDER; CRITERIA; DSM-5; VALIDATION; GENRES;
D O I
10.1371/journal.pone.0269528
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Internet gaming disorder (IGD) is a rising health concern. Indonesia has yet to have any validated instrument specifically designed to screen for this disorder. This study aims to validate the Indonesian version of the Ten-item Internet Gaming Disorder Test (IGDT-10) and conduct a latent class analysis of gamers among the youth. An online survey was conducted between October and December 2020 at two universities in Depok and Jakarta, Indonesia. In total, 1233 respondents (62.6% female and 20.3 +/- 1.90 years old) gave valid responses and played video games. Confirmatory factor analysis (CFA) confirmed the unidimensional structure of the scale. Cronbach's alpha was 0.72 and composite reliability was 0.92. The latent class analysis yielded three distinct classes of gamers. The continuation and negative consequences were highly distinctive for the group at high risk of IGD (class 3). Deception had the lowest endorsement rate (41.7%); while, the continuation domain had the highest endorsement, 91.2%. The IGD prevalence estimate was 1.90% among the respondents. Approximately 70.2% of the gamers did not show IGD symptoms. The adapted Indonesian IGDT-10 was demonstrated as valid and reliable among Indonesian youths. Consistent with previous studies, the deception domain had a low endorsement rate. The detected IGD rates were comparable to the global range. The majority of the current sample disclosed no symptoms; however, a considerable proportion would benefit from early preventive measures.
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页数:14
相关论文
共 37 条
[31]   A method for obtaining standard errors and confidence intervals of composite reliability for congeneric items [J].
Raykov, T .
APPLIED PSYCHOLOGICAL MEASUREMENT, 1998, 22 (04) :369-374
[32]   Gaming disorder: Its delineation as an important condition for diagnosis, management, and prevention [J].
Saunders, John B. ;
Hao, Wei ;
Long, Jiang ;
King, Daniel L. ;
Mann, Karl ;
Fauth-Buehler, Mira ;
Rumpf, Hans-Juergen ;
Bowden-Jones, Henrietta ;
Rahimi-Movaghar, Afarin ;
Chung, Thomas ;
Chan, Elda ;
Bahar, Norharlina ;
Achab, Sophia ;
Lee, Hae Kook ;
Potenza, Marc ;
Petry, Nancy ;
Spritzer, Daniel ;
Ambekar, Atul ;
Derevensky, Jeffrey ;
Griffiths, Mark D. ;
Pontes, Halley M. ;
Kuss, Daria ;
Higuchi, Susumu ;
Mihara, Satoko ;
Assangangkornchai, Sawitri ;
Sharma, Manoj ;
El Kashef, Ahmad ;
Ip, Patrick ;
Farrell, Michael ;
Scafato, Emanuele ;
Carragher, Natacha ;
Poznyak, Vladimir .
JOURNAL OF BEHAVIORAL ADDICTIONS, 2017, 6 (03) :271-279
[33]   Internet addiction in adolescents: Development and validation of Internet Addiction Diagnostic Questionnaire (KDAI) [J].
Siste, Kristiana ;
Wiguna, Tjhin ;
Bardasono, Saptawati ;
Sekartini, Rini ;
Pandelaki, Jacub ;
Sarasvita, Riza ;
Suwartono, Christiany ;
Murtani, Belinda Julivia ;
Damayanti, Reza ;
Christian, Hans ;
Sen, Lee Thung ;
Nasrun, Martina Wiwie .
PSYCHIATRY RESEARCH, 2021, 298
[34]   Mental, behavioral and neurodevelopmental disorders in the ICD-11: an international perspective on key changes and controversies [J].
Stein, Dan J. ;
Szatmari, Peter ;
Gaebel, Wolfgang ;
Berk, Michael ;
Vieta, Eduard ;
Maj, Mario ;
de Vries, Ymkje Anna ;
Roest, Annelieke M. ;
de Jonge, Peter ;
Maercker, Andreas ;
Brewin, Chris R. ;
Pike, Kathleen M. ;
Grilo, Carlos M. ;
Fineberg, Naomi A. ;
Briken, Peer ;
Cohen-Kettenis, Peggy T. ;
Reed, Geoffrey M. .
BMC MEDICINE, 2020, 18 (01)
[35]   Do men become addicted to internet gaming and women to social media? A meta-analysis examining gender-related differences in specific internet addiction [J].
Su, Wenliang ;
Han, Xiaoli ;
Yu, Hanlu ;
Wu, Yiling ;
Potenza, Marc N. .
COMPUTERS IN HUMAN BEHAVIOR, 2020, 113
[36]  
Wakefield JC, 2007, WORLD PSYCHIATRY, V6, P149
[37]  
World Health Organization, 1992, International statistical classification of diseases and related health problems