Population food intake clusters and cardiovascular disease incidence: a Bayesian quantifying of a prospective population-based cohort study in a low and middle-income country

Population food intake clusters and cardiovascular disease incidence: a Bayesian quantifying of a prospective population-based cohort study in a low and middle-income country

AimsThis study was designed to explore the relationship between cardiovascular disease incidence and population clusters, which were established based on daily food intake.MethodsThe current study examined 5,396 Iranian adults (2,627 males and 2,769 females) aged 35 years and older, who participated...

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Bibliographic Details
Main Authors: Reyhaneh Rikhtehgaran, Khadijeh Shamsi, Elnaz Mojoudi Renani, Arman Arab, Fatemeh Nouri, Noushin Mohammadifard, Hamid Reza Marateb, Marjan Mansourian, Nizal Sarrafzadegan
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-07-01
Series:Frontiers in Nutrition
Subjects:
Bayesian cluster analysis
cardiovascular diseases
food intake patterns
dietary pattem
heart health
Online Access:https://www.frontiersin.org/articles/10.3389/fnut.2023.1150481/full

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https://www.frontiersin.org/articles/10.3389/fnut.2023.1150481/full

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