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The Predictive Value of Emotional Intelligence for Internet Gaming Disorder: A 1-Year Longitudinal Study

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  • Della L. Dang

    (Department of Psychology, Faculty of Social Sciences, University of Macau, Avenida da Universidade, Taipa, Macao, China
    Faculty of Teacher Education, Pingdingshan University, South Weilai Road, Xinhua District, Pingdingshan 467000, Henan, China
    These authors equally contributed to this work.)

  • Meng Xuan Zhang

    (Department of Psychology, Faculty of Social Sciences, University of Macau, Avenida da Universidade, Taipa, Macao, China
    These authors equally contributed to this work.)

  • Karlas Kin-hei Leong

    (Department of Psychology, Faculty of Social Sciences, University of Macau, Avenida da Universidade, Taipa, Macao, China)

  • Anise M. S. Wu

    (Department of Psychology, Faculty of Social Sciences, University of Macau, Avenida da Universidade, Taipa, Macao, China)

Abstract

This one-year longitudinal study examined trait emotional intelligence as a predictor of Internet gaming disorder (IGD). To date, only cross-sectional research has been conducted to test the protective effects of emotional intelligence against IGD tendency. Based on the Interaction of Person-Affect-Cognition-Execution (I-PACE) model, this study aimed to address the research gap by examining not only the direct effects of trait emotional intelligence, but also its indirect effects (via depressive symptoms and coping flexibility) on IGD, with both a cross-sectional and longitudinal design. The participants were 282 Chinese university students (mean age = 20.47; 39.4% males) who voluntarily completed an anonymous questionnaire at both baseline (W1) and one-year follow-up (W2). Path analysis results revealed that trait emotional intelligence had a protective but indirect effect on IGD tendency in both our cross-sectional and longitudinal data. Depression was found to have a significant, full mediating effect on the relationship between: (i) trait emotional intelligence and IGD tendency (W2) and (ii) coping flexibility and IGD tendency (W2), after adjusting for IGD tendency at the baseline (W1). Gender invariance of the path coefficient was also observed in the prospective model. This study provided longitudinal evidence to support the I-PACE model. Interventions should address both IGD and depressive symptoms, and school-based workshops to increase emotional intelligence and coping flexibility are also recommended.

Suggested Citation

  • Della L. Dang & Meng Xuan Zhang & Karlas Kin-hei Leong & Anise M. S. Wu, 2019. "The Predictive Value of Emotional Intelligence for Internet Gaming Disorder: A 1-Year Longitudinal Study," IJERPH, MDPI, vol. 16(15), pages 1-14, August.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:15:p:2762-:d:254212
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    References listed on IDEAS

    as
    1. Juliet Honglei Chen & Kwok Kit Tong & Anise M. S. Wu & Joseph T. F. Lau & Meng Xuan Zhang, 2018. "The Comorbidity of Gambling Disorder among Macao Adult Residents and the Moderating Role of Resilience and Life Purpose," IJERPH, MDPI, vol. 15(12), pages 1-13, December.
    2. Tsukasa Kato, 2015. "The Impact of Coping Flexibility on the Risk of Depressive Symptoms," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-8, May.
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    Cited by:

    1. Anise M. S. Wu & Mark H. C. Lai & Mengxuan Zhang & Masao Yogo & Shu M. Yu & Sijie Mao & Juliet Honglei Chen, 2022. "Effects of Psychological Distress and Coping Resources on Internet Gaming Disorder: Comparison between Chinese and Japanese University Students," IJERPH, MDPI, vol. 19(5), pages 1-14, March.
    2. Phoenix K. H. Mo & Juliet Honglei Chen & Joseph T. F. Lau & Anise M. S. Wu, 2020. "Internet-Related Addictions: From Measurements to Interventions," IJERPH, MDPI, vol. 17(7), pages 1-4, April.
    3. Meng Xuan Zhang & Long W. Lam & Anise M. S. Wu, 2022. "Recovery Experiences Protect Emotionally Exhausted White-Collar Workers from Gaming Addiction," IJERPH, MDPI, vol. 19(19), pages 1-11, October.
    4. Dongil Kim & Junwon Lee, 2021. "Addictive Internet Gaming Usage among Korean Adolescents before and after the Outbreak of the COVID-19 Pandemic: A Comparison of the Latent Profiles in 2018 and 2020," IJERPH, MDPI, vol. 18(14), pages 1-17, July.

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