Evidence map›Paper›PMID 37958252›Full record

ArticleDiagnostics (Basel, Switzerland)2023

Relationship between Abdominal Volume Index and Body Adiposity Index and Scales of Insulin Resistance and Metabolic Syndrome.

José Ignacio Ramírez-Manent, Ángel Arturo López-González, Pilar Tomás-Gil, Pere Riutord-Sbert, Lucía Garrido-Sepulveda, María Teofila Vicente-Herrero

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.2field-weighted citation impact, top 10% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

13 citing papers in PubMed, 10 citations in OpenAlex.

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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

6 authors at 3 institutions in 1 country.

José Ignacio Ramírez-ManentADEMA-Health Group, IUNICS University of Balearic Islands, 07009 Palma, Spain.ORCID 0000-0001-6887-4562
Ángel Arturo López-GonzálezADEMA-Health Group, IUNICS University of Balearic Islands, 07009 Palma, Spain.ORCID 0000-0002-7439-8117
Pilar Tomás-GilADEMA-Health Group, IUNICS University of Balearic Islands, 07009 Palma, Spain.
Pere Riutord-SbertADEMA-Health Group, IUNICS University of Balearic Islands, 07009 Palma, Spain.ORCID 0000-0003-2135-9699
Lucía Garrido-SepulvedaHome Hospitalization Unit, Arnau de Vilanova Hospital, 46015 Valencia, Spain.
María Teofila Vicente-HerreroADEMA-Health Group, IUNICS University of Balearic Islands, 07009 Palma, Spain.
Research Institute of Health Sciences · ESHealth Research Institute of the Balearic Islands · ESHospital Arnau de Vilanova · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction, objectives: Obesity is a global health problem with a great negative impact on health. Among the pathologies caused by obesity are insulin resistance and metabolic syndrome, which constitute an increasingly common health problem in both developed and developing countries. The aim of this study was to examine the relationship between two scales that assess obesity-based on hip circumference-and metabolic syndrome (MetS) and insulin resistance risk scales as predictors of these alterations. MATERIALS,

methodsA descriptive, cross-sectional study was carried out on 193,462 workers from different Spanish regions and work groups between January 2019 and September 2021. Abdominal volume index (AVI) and body adiposity index (BAI) were evaluated to assess obesity and its association with insulin resistance using three risk scales (TyG index, Triglycerides/HDL, and METS-IR), while their association with metabolic syndrome was determined using the NCEP ATP III, IDF, and JIS models.

resultsThe results of the ROC curves to determine the predictive value of BAI and AVI in relation to the three criteria evaluated to calculate MetS in all instances presented a higher area under the curve (AUC) for AVI. The high values of AVI stand out for predicting MetS when applying the IDF criteria. The cut-off point in women was 13.70 with a Youden index of 0.802, whereas in men, the cut-off point was set at 17.59 with a Youden index of 0.672. Regarding the relationship of BAI and AVI with insulin resistance risk scales for both sexes, the AUC only revealed high values when using the METS-IR formula for both AVI and BAI. The AVI cut-off points to predict high values of insulin resistance risk scales in women were established at 13.12 with a Youden index of 0.722. In men, the cut-off point was 17.59, with a Youden index of 0.626. The BAI cut-off points in women were set at 33.88 with a Youden index of 0.748. In men, the cut-off point was 27.91, with a Youden index of 0.598.

conclusionsAVI demonstrated its value as a predictor of metabolic syndrome while exclusively applying the IDF criteria. AVI and BAI demonstrated their value as predictors of high values of insulin resistance risk scales only in the case of METS-IR. This predictive value is also higher in women.

Indexed as

insulin resistancemetabolic syndromeobesityROC curve

Identifiers

PMID37958252
PMCPMC10649100
OpenAlexW4388041092

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.