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ORIGINAL RESEARCH article

Front. Psychol.

Sec. Addictive Behaviors

Volume 16 - 2025 | doi: 10.3389/fpsyg.2025.1517590

This article is part of the Research Topic An Integrative Proposal in Addiction and Health Behaviors Psychosocial Research: Overview of New Trends and Future Orientations Volume II View all 6 articles

Association between internet addiction and sleep quality in medical students :A longitudinal study

Provisionally accepted
Chaowei Guo Chaowei Guo 1Ming Chen Ming Chen 1Xiaotong Ji Xiaotong Ji 1Jiang Li Jiang Li 1Yi Ma Yi Ma 2Shuang Zang Shuang Zang 1*
  • 1 China Medical University, Shenyang, China
  • 2 The First Affiliated Hospital of China Medical University, Shenyang, Liaoning Province, China

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

    Abstract:Objective: The study aimed to confirm the hysteresis effect of internet addiction on sleep quality and examine the association between internet addiction and sleep quality among medical students from the first to the third academic year. Methods: A repeated measures observational cohort study was conducted, involving 667 medical students at China Medical University from 2017 to 2019. The Kruskal-Wallis test was used to analyze repeated measurement data, and cross-lagged panel models were employed to assess the associations between internet addiction and sleep quality within and across different time intervals. Results: Internet addiction was significantly associated with sleep quality(P < 0.001). Notably, internet addiction in the first year was positively associated with sleep quality in the second year. Conclusion: This study underscores the importance of understanding the association between internet addiction and sleep quality as medical students progress through their academic years. Attention should be directed towards the long-term adverse effects of internet addiction on the future sleep quality of medical students.

    Keywords: Internet addiction, sleep quality, Medical students, long-term impact, Crosslagged panel model

    Received: 26 Oct 2024; Accepted: 27 Feb 2025.

    Copyright: © 2025 Guo, Chen, Ji, Li, Ma and Zang. 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: Shuang Zang, China Medical University, Shenyang, 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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