ORIGINAL RESEARCH article
Front. Endocrinol.
Sec. Systems Endocrinology
Volume 16 - 2025 | doi: 10.3389/fendo.2025.1553691
Network Analysis of Cognitive Function, Glycemic-Lipid Profiles, and Hepatic-Renal Function in Individuals with Diverse Drinking Patterns
Provisionally accepted
- The First hospital of Hebei Medical University, Shijiazhuang, China
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Background: Harmful drinking habits can have a profound effect on individual health. However, there is currently a lack of network analysis studies on clinical indicators related to drinking population.The aim of this study was to investigate the relationships among drinking characteristics, cognitive functions, liver and kidney functions, and glucose and lipid levels in alcohol drinkers through the application of network analysis. Method: We conducted a stratified random sampling survey of 1,432 male employees in Gaocheng District, Hebei Province, in 2016. The Alcohol Dependence Scale (ADS) and the Alcohol Use Disorders Identification Test (AUDIT) were utilized to evaluate alcohol-related behaviors. Cognitive functions were assessed via the Hopkins Verbal Learning Test (HVLT), the Brief Visuospatial Memory Test (BVMT), Digit Symbol Coding Test (DSCT), and Digit Span Test (DST). Additionally, biochemical indicators such as blood glucose and lipid levels and hepatic and renal functions were measured. Analyses were performed to identify central symptoms and bridge symptoms of this network. Results: In our network analysis, the nodes representing TC, AST, AST/ALT, and ALT had the highest strength centrality. TC and AST presented the highest expected influence centrality. The closeness centrality indices for all the indicators performed well. The node DSCT ranked highly in terms of betweenness centrality. Conclusion: Correlations may exist among cognitive function, glycemic and lipid profiles, and hepatic-renal function in individuals with varying alcohol consumption patterns. Lipid and liver function indicators were identified as the most central factors in the network model. In the clinic, practitioners may focus on these abnormal central indicators as potential intervention targets to enhance the quality of life in alcohol drinkers.
Keywords: Primary funding Cognitive function, Glycemiclipid profiles, Hepatic-renal function, Drinking population, Network analysis Research data not shared
Received: 31 Dec 2024; Accepted: 09 Jul 2025.
Copyright: © 2025 Wang, Xu, Zhao, Wang, Yang, Wang, An and Wang. 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: Ran Wang, The First hospital of Hebei Medical University, Shijiazhuang, China
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