Evidence map›Paper›PMID 37730615›Full record

ArticleEuropean journal of medical research2023

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

Parvin Mirmiran, Zahra Gaeini, Zahra Feizy, Fereidoun Azizi

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Article in European journal of medical research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Parvin Mirmiran *Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, No. 24, Shahid-Erabi St., Yeman St., Velenjak, P.O. Box: 19395-4763, Tehran, Iran. parvin.mirmiran@gmail.com.
Zahra Gaeini *Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, No. 24, Shahid-Erabi St., Yeman St., Velenjak, P.O. Box: 19395-4763, Tehran, Iran.
Zahra FeizyDepartment of Nutritional Sciences, Texas Tech University, Lubbock, TX, 79409, USA.
Fereidoun AziziEndocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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.

methodsDietary 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.

resultsFour 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.

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

Indexed as

Metabolic SyndromeAdultFatty AcidsGlucoseHumansIranProspective StudiesFatty AcidsGlucoseFatty acid patternsMetabolic syndromePoly-unsaturated fatsSaturated fats

Identifiers

PMID37730615
PMCPMC10510261

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