Food co-consumption network as a new approach to dietary pattern in non-alcoholic fatty liver disease.

ABSTRACT: Dietary patterns strongly correlate with non-alcoholic fatty liver disease (NAFLD), which is a leading cause of chronic liver disease in developed societies. In this study, we introduce a new definition, the co-consumption network (CCN), which depicts the common consumption patterns of food groups through network analysis. We then examine the relationship between dietary patterns and NAFLD by analyzing this network. We selected 1500 individuals living in Tehran, Iran, cross-sectionally. They completed a food frequency questionnaire and underwent scanning via the FibroScan for liver stiffness, using the CAP score. The food items were categorized into 40 food groups. We reconstructed the CCN using the Spearman correlation-based connection. We then created healthy and unhealthy clusters using

SUBMITTER: Naghizadeh MM 

PROVIDER: S-EPMC10673913 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature