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

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

Abstract 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 the...

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Bibliographic Details
Main Authors: Reihaneh Jahanmiri, Kurosh Djafarian, Nasim Janbozorgi, Fatemeh Dehghani-Firouzabadi, Sakineh Shab-Bidar
Format: Article
Language:English
Published: BMC 2022-08-01
Series:Diabetology & Metabolic Syndrome
Subjects:
Gaussian graphical models
GGMs
Dietary patterns
Dietary networks
Metabolic syndrome
Online Access:https://doi.org/10.1186/s13098-022-00894-x

Internet

https://doi.org/10.1186/s13098-022-00894-x

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