Cargando…
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 assoc...
Autores principales: | Jahanmiri, Reihaneh, Djafarian, Kurosh, Janbozorgi, Nasim, Dehghani-Firouzabadi, Fatemeh, Shab-Bidar, Sakineh |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9419308/ https://www.ncbi.nlm.nih.gov/pubmed/36028917 http://dx.doi.org/10.1186/s13098-022-00894-x |
Ejemplares similares
-
Dietary networks identified by Gaussian graphical model and general and abdominal obesity in adults
por: Jayedi, Ahmad, et al.
Publicado: (2021) -
Association of Dietary and Lifestyle Inflammation Score With Metabolic Syndrome in a Sample of Iranian Adults
por: Dehghani Firouzabadi, Fatemeh, et al.
Publicado: (2021) -
Association of Oxidative Balance Score with the Metabolic Syndrome in a Sample of Iranian Adults
por: Noruzi, Zahra, et al.
Publicado: (2021) -
Association of Dietary and Lifestyle Inflammation Score With Cardiorespiratory Fitness
por: Farazi, Mena, et al.
Publicado: (2022) -
Time-related meal patterns and breakfast quality in a sample of Iranian adults
por: Lesani, Azadeh, et al.
Publicado: (2023)