Uncovering sample heterogeneity in gaming and social withdrawal behaviors in adolescent and young adult gamers in Hong Kong

Ted C.T. Fong, Qijin Cheng, C.Y. Pai, Isabelle Kwan, Clifford Wong, Sing-Hang Cheung and Paul S.F. Yip

Social Science & Medicine, 2023, vol. 321, issue C

Abstract: The current study aimed to examine the latent heterogeneity of gaming and social withdrawal behaviors in internet gamers and their associations with help-seeking behaviors. Method: The present study recruited 3430 young people (1874 adolescents and 1556 young adults) in Hong Kong in 2019. The participants completed the Internet Gaming Disorder (IGD) Scale, Hikikomori Questionnaire, and measures on gaming characteristics, depression, help-seeking, and suicidality. Factor mixture analysis was used to classify the participants into latent classes based on their latent factors of IGD and hikikomori in separate age groups. Latent class regressions examined the associations between help-seeking and suicidality.

Keywords: Factor mixture modeling; Gaming addiction; Help-seeking; Hikikomori; Internet gaming disorder; Suicidal risks (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (1)

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DOI: 10.1016/j.socscimed.2023.115774

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