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ORIGINAL RESEARCH article

Front. Public Health

Sec. Substance Use Disorders and Behavioral Addictions

Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1412480

This article is part of the Research Topic Mindfulness and Resilience in the Digital Age: Addressing Cyberattacks and Enhancing Mental Health and Performance among Adults View all 6 articles

Mediating Effect of Social anxiety on the Association between Self-esteem and Internet Addiction among Chinese vocational school students

Provisionally accepted
Yunjiao Zhu Yunjiao Zhu 1Guifang Jin Guifang Jin 2Haiyan Shi Haiyan Shi 2Chenyu Sun Chenyu Sun 3Hongyuan Wei Hongyuan Wei 4Linsheng Yang Linsheng Yang 2Jiahu Hao Jiahu Hao 5Ying Sun Ying Sun 5Puyu Su Puyu Su 5Xiaoyan Wu Xiaoyan Wu 5Xiaowu Tang Xiaowu Tang 6*Zhihua Zhang Zhihua Zhang 2*
  • 1 Other, Hangzhou,Zhejiang, China
  • 2 Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui Province, China
  • 3 Department of General Surgery, The Second Affiliated Hospital of Anhui Medical University, Hfei, Anhui Province, China
  • 4 Anhui Center of Disease Control and Prevention, Hefei, Anhui Province, China
  • 5 Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui Province, China
  • 6 Hefei Information Technology University, Hefei, China

The final, formatted version of the article will be published soon.

    In today's digital age, concerns about internet addiction among adolescents have escalated alongside the widespread use of the internet. Simultaneously, research has spotlighted the influence of psychological factors like self-esteem and social anxiety on addictive behaviors. The aim of this study was to verify the hypothesis regarding social anxiety as a mediator in the association between self-esteem and internet addiction. A total of 10,158 participants were randomly selected from five vocational schools in Anhui Province, China, with a mean age of 18.5 years. They completed a series of self-administered questionnaires, including the Young Internet Addiction Test (IATS), the Liebowitz Social Anxiety Scale (LSAS), and the Self-Esteem Scale (SES). Structural equation modeling (SEM) was employed to examine the mediating role of social anxiety between self-esteem and internet addiction, adjusting for demographic variables such as age, gender, and parental education. The correlation analysis revealed that self-esteem was significantly negatively correlated with internet addiction, while social anxiety was significantly positively correlated with internet addiction. The indirect effect of self-esteem on internet addiction through social anxiety was 0.11 (P < 0.01), constituting 28.35% of the total effect. Additionally, the total impact of self-esteem on internet addiction was 0.278 (P < 0.01). Subgroup analyses by age and gender confirmed the robustness of these findings, with significant total effects observed across different age groups (14-18 years: total effects = 0.637; 18-24 years: total effects = 0.744; P<0.01) and genders (male: total effects = 0.385; female: total effects = 0.744; P<0.01). The results indicate that social anxiety plays a significant mediating role in the relationship between self-esteem and internet addiction, affecting both directly and indirectly this association. These findings underscore the importance of addressing self-esteem and social anxiety in interventions aimed at reducing internet addiction among adolescents, suggesting that targeted psychological support could be pivotal in mitigating the risk of developing addictive behaviors online.

    Keywords: Adolescents', Internet addiction, Self-Esteem (SE), Social anxiety (SA), Mediating effect

    Received: 05 Apr 2024; Accepted: 11 Mar 2025.

    Copyright: © 2025 Zhu, Jin, Shi, Sun, Wei, Yang, Hao, Sun, Su, Wu, Tang and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Xiaowu Tang, Hefei Information Technology University, Hefei, China
    Zhihua Zhang, Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui Province, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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