A comparison of principal component analysis, reduced-rank regression, and partial least–squares in the identification of dietary patterns associated with cardiometabolic risk factors in Iranian overweight and obese women

A comparison of principal component analysis, reduced-rank regression, and partial least–squares in the identification of dietary patterns associated with cardiometabolic risk factors in Iranian overweight and obese women

Abstract Background According to epidemiological studies, unhealthy dietary patterns and lifestyle lead to rising obesity and cardiometabolic diseases in Iran. Hybrid techniques were used to identify a dietary pattern characterized by fiber, folic acid, and carotenoid intake due to their association...

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Bibliographic Details
Main Authors: Fatemeh Gholami, Ahmadreza Hajiheidari, Bahareh Barkhidarian, Neda Soveid, Mir Saeid Yekaninejad, Zahra Karimi, Niki Bahrampour, Seyed Ali Keshavarz, Gholamali Javdan, Khadijeh Mirzaei
Format: Article
Language:English
Published: BMC 2024-09-01
Series:BMC Medical Research Methodology
Subjects:
PCA
RRR
PLS
Dietary patterns
Cardiometabolic risk factors
Online Access:https://doi.org/10.1186/s12874-024-02298-z

Internet

https://doi.org/10.1186/s12874-024-02298-z

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