a network-based approach to visualize prevalence and progression of metabolic syndrome components基于网络的方法来可视化患病率和代谢综合征的组件.pdfVIP

A Network-Based Approach to Visualize Prevalence and Progression of Metabolic Syndrome Components 1 . 2. ¨ 3 ¨ 4 5 1 Robin Haring * , Martin Rosvall , Uwe Volker , Henry Volzke , Heyo Kroemer , Matthias Nauck , Henri Wallaschofski1 ˚ ˚ 1 Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany, 2 Department of Physics, Umea University, Umea, Sweden, 3 Department of Functional Genomics, University Medicine Greifswald, Greifswald, Germany, 4 Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany, 5 Institute of Pharmacology, University Medicine Greifswald, Greifswald, Germany Abstract Background: The additional clinical value of clustering cardiovascular risk factors to define the metabolic syndrome (MetS) is still under debate. However, it is unclear which cardiovascular risk factors tend to cluster predominately and how individual risk factor states change over time. Methods Results: We used data from 3,187 individuals aged 20–79 years from the population-based Study of Health in Pomerania for a network-based approach to visualize clustered MetS risk factor states and their change over a five-year follow-up period. MetS was defined by harmonized Adult Treatment Panel III criteria, and each individual’s risk factor burden was classified according to the five MetS components at baseline and follow-up. We used the map generator to depict 32 (25