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Information overload, cognitive fusion, and health literacy among individuals with type 2 diabetes: a moderated network analysis
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  • Published: 06 January 2026

Information overload, cognitive fusion, and health literacy among individuals with type 2 diabetes: a moderated network analysis

  • Ziqi Ou1 na1,
  • Jiahao Wei2 na1,
  • Yanzhi Guo1,
  • Lishi Chen1 &
  • …
  • Chunli Huang1 

Scientific Reports , Article number:  (2026) Cite this article

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We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Diseases
  • Endocrinology
  • Health care

Abstract

In the digital age, patients with type 2 diabetes mellitus (T2DM) are exposed to extensive health information, leading to information overload (IO). This overload results in decision-making difficulties, increased cognitive burden, and reduced health literacy (HL). This study investigates the complex relationship among IO, cognitive fusion (CF), and HL, emphasizing the moderating role of CF. A cross-sectional survey was conducted involving 233 patients with T2DM. Participants completed a general information questionnaire, the Information Overload Scale (IOS), the Cognitive Fusion Questionnaire (CFQ), and the Diabetes Health Literacy Scale (DHLS). A moderated network analysis was used to explore the bidirectional associations between IO and HL and to verify the moderating effect of CF. Network analysis revealed several significant bidirectional relationships between IO and HL, with CF showing a significant moderating effect. Reduced CF strengthened the positive effects of “perceived diabetes information overload” and “multi-channel diabetes information stress” on “functional health literacy”, as well as the effect of “increased diabetes information device maintenance” on “interactive health literacy”. “perceived diabetes information overload” had the highest centrality index in the network model, which demonstrated overall good stability. This study advances understanding of the relationships among IO, CF, and HL in patients with T2DM. The findings suggest that interventions aimed at alleviating cognitive rigidity should adopt comprehensive strategies targeting the IO symptom network to enhance HL in this population.

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Data availability

Data and materials are available to the corresponding author upon reasonable request.

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Acknowledgements

The authors thank all participants who completed the questionnaire in this study. We also thank the editors and blind reviewers for their suggestions and comments on this paper.

Author information

Author notes
  1. Ziqi Ou and Jiahao Wei contributed equally to this work.

Authors and Affiliations

  1. Department of Health Management Medicine, Guangzhou Panyu Health Management Center (Guangzhou Panyu Rehabilitation Hospital), Guangzhou, China

    Ziqi Ou, Yanzhi Guo, Lishi Chen & Chunli Huang

  2. School of Nursing, Southern Medical University, Guangzhou, Guangdong, China

    Jiahao Wei

Authors
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Contributions

Ziqi Ou: Conceptualization, Methodology, Data curation, Formal analysis, Writing-original draft, Writing-Review &Editing; Jiahao Wei: Conceptualization, Methodology, Writing-original draft, Writing - Review & Editing; Yanzhi Guo: Data curation, Formal analysis, Software, Visualization, Writing-Review & Editing; Honglang Jiang: Data curation, Formal analysis; Lishi Chen: Software, Visualization, Writing-Review & Editing; Chunli Huang: Project administration, Supervision, Writing-Review & Editing.

Corresponding author

Correspondence to Chunli Huang.

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Ou, Z., Wei, J., Guo, Y. et al. Information overload, cognitive fusion, and health literacy among individuals with type 2 diabetes: a moderated network analysis. Sci Rep (2026). https://doi.org/10.1038/s41598-025-34279-7

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  • Received: 30 August 2025

  • Accepted: 26 December 2025

  • Published: 06 January 2026

  • DOI: https://doi.org/10.1038/s41598-025-34279-7

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Keywords

  • Type 2 diabetes mellitus
  • Information overload
  • Cognitive fusion
  • Health literacy
  • Moderated network analysis
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