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European Journal of Medical Research

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Open Access 01-12-2023 | Research

Dietary fatty acid patterns and risk of metabolic syndrome: Tehran lipid and glucose study

Authors: Parvin Mirmiran, Zahra Gaeini, Zahra Feizy, Fereidoun Azizi

Published in: European Journal of Medical Research | Issue 1/2023

Abstract

Background

The association between individual dietary fatty acids (FAs) and risk of metabolic syndrome (MetS) has been investigated in previous studies. However, synergistic or additive effects of multiple FA have received less attention. Hence, we aimed to determine the major dietary FA patterns and evaluate the association between FA patterns and risk of MetS.

Methods

Dietary intakes of 1713 MetS-free adults who participated in the third phase of the Tehran Lipid and Glucose Study (TLGS) were assessed using a validated 168-items food frequency questionnaire. FA patterns were obtained by principal component analysis (PCA). Adjusted Hazard Ratios (HRs) and 95% confidence intervals (CIs) were calculated for the association of MetS incident with the extracted FA patterns.

Results

Four major FA patterns were identified through PCA of the 24 FAs consumed: “short- and medium-chain saturated fatty acid (SFA) pattern”, “long-chain FA pattern”, “omega-3 PUFA pattern”, and “long-chain SFA pattern”. There was no significant association between dietary FA patterns and risk of MetS incidence.

Conclusions

We found no significant association between FA patterns and risk of MetS. More prospective cohort studies and clinical trials are needed to clarify the issue.

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Title: Dietary fatty acid patterns and risk of metabolic syndrome: Tehran lipid and glucose study
Authors: Parvin Mirmiran
Zahra Gaeini
Zahra Feizy
Fereidoun Azizi
Publication date: 01-12-2023
Publisher: BioMed Central
Published in: European Journal of Medical Research / Issue 1/2023
Electronic ISSN: 2047-783X
DOI: https://doi.org/10.1186/s40001-023-01348-4

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Dietary fatty acid patterns and risk of metabolic syndrome: Tehran lipid and glucose study

Abstract

Background

Methods

Results

Conclusions

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Background

Methods

Results

Conclusions

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