Evidence mapPaperPMID 39920680Full record

ArticleBMC endocrine disorders2025

Dietary and plasma atherogenic and thrombogenic indices and cardiometabolic risk factors among overweight and individuals with obesity.

Reyhaneh Mokhtari, Mahdieh Abbasalizad Farhangi

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Article in BMC endocrine disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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4 citing papers in PubMed.

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5 · Who and what money

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2 authors.

Reyhaneh MokhtariDepartment of Community Nutrition, Faculty of Nutrition, Tabriz University of Medical Sciences, Attar Neyshabouri Street, Daneshgah Blv, Tabriz, Iran.
Mahdieh Abbasalizad FarhangiDepartment of Community Nutrition, Faculty of Nutrition, Tabriz University of Medical Sciences, Attar Neyshabouri Street, Daneshgah Blv, Tabriz, Iran. abbasalizadm@tbzmed.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObesity and hyperlipidemia are the two central metabolic disorders linked to non-communicable diseases (NCDs) that increase the risk of cardiovascular disease (CVD). Apart from dyslipidemia, the Atherogenic Index of Plasma (AIP), which is associated with dietary consumption, is another marker for predicting the risk of CVD. Healthy fat quality indicators may impact AIP. The purpose of this study is to ascertain whether there is any connection between Iranian obese people's plasma and dietary indices and cardiometabolic risk factors.

methodsThis cross-sectional study, consisted of 645 overweight and obese participants. The study included assessments of body composition and anthropometric measurements. Dietary fatty acid consumption was evaluated using a validated Food Frequency Questionnaire (FFQ) containing 168 items. Additionally, biochemical parameters, including serum total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), fasting serum glucose (FSG), and insulin levels, were measured using enzymatic methods. The lipid profile was quantified.

resultsFor participants in higher tertiles of the AIP, the percentage of men was significantly higher than women (men: 48.1%, women: 51.7%, p < 0.001). Additionally, individuals in higher tertiles of AIP had a higher waist-to-hip ratio (WHR) (mean WHR: 0.92 ± 0.05 vs. 0.86 ± 0.04 in lower tertile, p < 0.001). Participants in the highest tertile of AIP had higher systolic blood pressure (SBP: 132 ± 8 mmHg vs. 118 ± 6 mmHg in lower tertile, p < 0.001), total cholesterol (TC: 210 ± 15 mg/dL vs. 185 ± 12 mg/dL, p < 0.001), triglycerides (TG: 180 ± 20 mg/dL vs. 120 ± 15 mg/dL, p < 0.001), and glucose concentrations (fasting glucose: 105 ± 10 mg/dL vs. 90 ± 8 mg/dL, p < 0.001). Participants in the lower tertile of AIP had higher HDL cholesterol levels (HDL: 60 ± 5 mg/dL vs. 45 ± 4 mg/dL in higher tertile, p < 0.001). In the model for Thrombogenicity Index (TI), participants in the higher tertile had higher glucose concentrations (glucose: 110 ± 12 mg/dL vs. 95 ± 9 mg/dL in lower tertile, p = 0.04).

conclusionThis research introduces a novel field of investigation and emphasizes the possible importance of TI, AI, and AIP indices in regulating cardiometabolic risk factors.

Indexed as

AtherosclerosisBiomarkersCardiometabolic Risk FactorsCardiovascular DiseasesDietObesityOverweightThrombosisAdultCross-Sectional StudiesFemaleFollow-Up StudiesHumansIranMaleMiddle AgedBiomarkers

Identifiers

PMID39920680
PMCPMC11806880

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.