Saturated fats network identified using Gaussian graphical models is associated with metabolic syndrome in a sample of Iranian adults.

Background: Gaussian graphical models (GGM) are an innovative method for deriving dietary networks which reflect dietary intake patterns and demonstrate how food groups are consuming in relation to each other, independently. The aim of this study was to derive dietary networks and assess their association with metabolic syndrome in a sample of the Iranian population.

Methods: In this cross-sectional study, 850 apparently healthy adults were selected from referral health care centers.