Evidence map›Paper›PMID 39180637›Full record

ArticleIrish journal of medical science2024

Investigation of the relationship between atherogenic index, anthropometric characteristics, and 10-year risk of metabolic syndrome: a population-based study.

Mina AkbariRad, Susan Darroudi, Farima Farsi, Najme Mohajer, AmirAli Moodi Ghalibaf, Abdollah Firoozi, Habibollah Esmaeili, Hanie Salmani Izadi, Majid Ghayour-Mobarhan, Mohsen Moohebati

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Article in Irish journal of medical science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

The trial behind it

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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

5 citing papers in PubMed.

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4 · The record

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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

10 authors.

Mina AkbariRadDepartment of Internal Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Susan DarroudiVascular and Endovascular Surgery Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Farima FarsiStudent Research Committee, Mashhad University of Medical Sciences, Mashhad, Iran.
Najme MohajerDepartment of Internal Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
AmirAli Moodi GhalibafStudent Research Committee, Faculty of Medicine, Birjand University of Medical Sciences, Birjand, Iran.
Abdollah FirooziFaculty of Pharmacy, Mashhad University of Medical Sciences, Mashhad, Iran.
Habibollah EsmaeiliDepartment of Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran.
Hanie Salmani IzadiStudent Research Committee, Mashhad University of Medical Sciences, Mashhad, Iran.
Majid Ghayour-MobarhanMetabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, Iran. darroudis921@gmail.com.
Mohsen MoohebatiMetabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, Iran. mouhebatim@mums.ac.ir.

Funding

Mashhad University of Medical Sciences 85134
6 · The paper itself

Abstract

backgroundPeople with metabolic syndrome (MetS) are at a higher risk of coronary artery disease, diabetes mellitus, stroke, osteoarthritis, and some types of cancers. Finding markers which are available and inexpensive are most useful for the prediction of MetS. The present study aimed to determine the relationship between atherogenic index and anthropometric indicators and the 10-year risk of MetS.

methodsDuring the 10-year follow-up on Mashhad stroke and heart atherosclerotic disorder (MASHAD study), 4684 subjects who did not MetS at baseline were recruited in this study. The anthropometric indices and atherogenic index including atherogenic index of plasma (AIP), Castelli's risk index I and II (CRI-I, CRI-I), and atherogenic coefficient (AC) were measured. SPSS-23 was used for all statistical analyses.

resultAmong subjects who did not have MetS at baseline 1599 cases (34.1%) developed MetS. The anthropometric and lipid indices were significantly elevated in patients with MetS compared to the healthy ones (p < 0.001). It was revealed that an increase of one unit in AIP and AC can raise the risk of MetS 22.7% (OR: 1.227 (95% CI, 1.166-1.291)) and 37.7% (OR: 1.377 (95% CI, 1.291-1.468)), respectively. Moreover, increasing one unit of WHtR decreases the risk of MetS by 8.5% (OR: 0.915 (95% CI, 0.886-0.946)).

conclusionThe results of this longitudinal study showed that increasing AC and AIP could enhance the risk of MetS. The present study also indicated that AC and AIP are useful predictors in the clinical setting for identifying individuals with MetS in the Iranian adult population.

Indexed as

AnthropometryAtherosclerosisMetabolic SyndromeAdultAgedFemaleHumansIranMaleMiddle AgedRisk FactorsAnthropometric characteristicsAtherogenic indexMetabolic syndrome

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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 OpenQuestion graph.