ArticleScientific reports2026
Information overload, cognitive fusion, and health literacy among individuals with type 2 diabetes: a moderated network analysis.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Information overload and pregnancy outcomes in IVF: psychological distress as an explanatory pathway.Scientific reports · 2026Article
- Beyond prescriptions: an analysis of patient journey, self-management adherence, and unmet needs in type 2 diabetes.BMC health services research · 2026Article
- Bridging the epistemic gap: a psychological acceptance model for the cross-cultural health communication of traditional Chinese medicine.Frontiers in public health · 2026Article
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Authors and funding
5 authors.
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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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