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Problematic Internet Usage and Self-Esteem in Chinese Undergraduate Students: The Mediation Effects of Individual Affect and Relationship Satisfaction

Author

Listed:
  • Guang Zeng

    (Department of Psychology, Sun Yat-sen University, Guangdong 510275, China)

  • Lijin Zhang

    (Department of Psychology, Sun Yat-sen University, Guangdong 510275, China)

  • Sai-fu Fung

    (Department of Social and Behavioural Sciences, City University of Hong Kong, Hong Kong, China)

  • Jingwen Li

    (Department of Psychology, Tsinghua University, Beijing 100084, China)

  • Yi-Man Liu

    (School of Economics, Finance and Marketing, Royal Melbourne Institute of Technology, Melbourne, VIC 3001, Australia
    Guangzhou Huashang College, University Administrative Office, Guangdong 511300, China)

  • Zi-Ke Xiong

    (Guangzhou Huashang College, University Administrative Office, Guangdong 511300, China)

  • Zhi-Quan Jiang

    (Guangzhou Huashang College, University Administrative Office, Guangdong 511300, China)

  • Fang-Fang Zhu

    (School of Economics and Trade, Guangzhou Huashang College, Guangdong 511300, China)

  • Zhen-Ting Chen

    (School of Data Science, Guangzhou Huashang College, Guangdong 511300, China)

  • Si-Ding Luo

    (Managing Director Office, Global Business College of Australia, Melbourne, VIC 3000, Australia
    General Manager Office, Edvantage Institute Australia, Melbourne, VIC 3000, Australia)

  • Ping Yu

    (Managing Director Office, Global Business College of Australia, Melbourne, VIC 3000, Australia
    General Manager Office, Edvantage Institute Australia, Melbourne, VIC 3000, Australia)

  • Qian Huang

    (Department of Sports Training, Xi’an Physical Education University, Xi’an 710068, China)

Abstract

The aim of this cross-sectional study was to examine the mediating effects of individual affect and relationship satisfaction on the relationship between self-esteem and Problematic Internet Use (PIU). Affect was measured using the Positive and Negative Affect Schedule (PANAS), relationship satisfaction was assessed using a positive and negative semantic dimension scale, self-esteem was measured using the Rosenberg Self-Esteem Scale, and PIU was measured using the Problematic Internet Use scale with a sample of 507 Chinese university students (Mage = 20.41 years, SD = 2.49). The relationships between the variables were tested using structural equation modelling with a multiple mediation model. The results revealed that negative affect and the negative semantic dimensions of relationship satisfaction mediated the relationship between self-esteem and PIU. The implications of the results and the study’s theoretical contributions are discussed.

Suggested Citation

  • Guang Zeng & Lijin Zhang & Sai-fu Fung & Jingwen Li & Yi-Man Liu & Zi-Ke Xiong & Zhi-Quan Jiang & Fang-Fang Zhu & Zhen-Ting Chen & Si-Ding Luo & Ping Yu & Qian Huang, 2021. "Problematic Internet Usage and Self-Esteem in Chinese Undergraduate Students: The Mediation Effects of Individual Affect and Relationship Satisfaction," IJERPH, MDPI, vol. 18(13), pages 1-14, June.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:13:p:6949-:d:584517
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    References listed on IDEAS

    as
    1. Ying Liang & Demi Zhu, 2015. "Subjective Well-Being of Chinese Landless Peasants in Relatively Developed Regions: Measurement Using PANAS and SWLS," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 123(3), pages 817-835, September.
    2. Sneha B Vadher & Bharat N Panchal & Ashok U Vala & Imran J Ratnani & Kinjal J Vasava & Rishi S Desai & Aayushi H Shah, 2019. "Predictors of problematic Internet use in school going adolescents of Bhavnagar, India," International Journal of Social Psychiatry, , vol. 65(2), pages 151-157, March.
    3. Emre Senol-Durak & Mithat Durak, 2011. "The Mediator Roles of Life Satisfaction and Self-Esteem between the Affective Components of Psychological Well-Being and the Cognitive Symptoms of Problematic Internet Use," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 103(1), pages 23-32, August.
    4. Hsiao-Ching Chen & Jiun-Yi Wang & Ying-Lien Lin & Shang-Yu Yang, 2020. "Association of Internet Addiction with Family Functionality, Depression, Self-Efficacy and Self-Esteem among Early Adolescents," IJERPH, MDPI, vol. 17(23), pages 1-13, November.
    5. Murtishaw, Scott & Schipper, Lee, 2001. "Disaggregated analysis of US energy consumption in the 1990s: evidence of the effects of the internet and rapid economic growth," Energy Policy, Elsevier, vol. 29(15), pages 1335-1356, December.
    6. Dennis Sing-wing Wong & Sai-fu Fung, 2020. "Development of the Cybercrime Rapid Identification Tool for Adolescents," IJERPH, MDPI, vol. 17(13), pages 1-13, June.
    7. Will B. Payne & David O’Sullivan, 2020. "Exploding the Phone Book: Spatial Data Arbitrage in the 1990s Internet Boom," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 110(2), pages 391-398, March.
    8. Zsolt Demetrovics & Róbert Urbán & Katalin Nagygyörgy & Judit Farkas & Mark D Griffiths & Orsolya Pápay & Gyöngyi Kökönyei & Katalin Felvinczi & Attila Oláh, 2012. "The Development of the Problematic Online Gaming Questionnaire (POGQ)," PLOS ONE, Public Library of Science, vol. 7(5), pages 1-9, May.
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