Evidence map›Paper›PMID 36536371›Full record

ArticleCardiovascular diabetology2022

Insulin resistance phenotype is associated with vascular risk phenotype at the end of the second decade of life: a population-based study.

Janaina Maiana Abreu Barbosa, Antônio Augusto Moura da Silva, Rosangela Fernandes Lucena Batista, Bernadete Jorge Leal Salgado, Joelma Ximenes Prado Teixeira Nascimento, Vanda Maria Ferreira Simões, Maria Jacqueline Silva Ribeiro, Marco Antonio Barbieri, Alexandre Archanjo Ferraro, Cecilia Claudia Costa Ribeiro

Open access · goldAbstract read
In one paragraph

Article in Cardiovascular diabetology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 39% 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

4 citing papers in PubMed, 3 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

10 authors at 2 institutions in 1 country.

Janaina Maiana Abreu BarbosaGraduate Program in Public Health, Public Health Department, Federal University of Maranhão, Rua Barão de Itapary, 155 - Centro, São Luís, MA, 65020-070, Brazil.
Antônio Augusto Moura da SilvaGraduate Program in Public Health, Public Health Department, Federal University of Maranhão, Rua Barão de Itapary, 155 - Centro, São Luís, MA, 65020-070, Brazil.
Rosangela Fernandes Lucena BatistaGraduate Program in Public Health, Public Health Department, Federal University of Maranhão, Rua Barão de Itapary, 155 - Centro, São Luís, MA, 65020-070, Brazil.
Bernadete Jorge Leal SalgadoDepartment of Physiological Sciences, Federal University of Maranhão, São Luís, Brazil.
Joelma Ximenes Prado Teixeira NascimentoDepartment of Health Sciences, Federal University of Maranhão, São Luís, Brazil.
Vanda Maria Ferreira SimõesGraduate Program in Public Health, Public Health Department, Federal University of Maranhão, Rua Barão de Itapary, 155 - Centro, São Luís, MA, 65020-070, Brazil.
Maria Jacqueline Silva RibeiroGraduate Program in Public Health, Public Health Department, Federal University of Maranhão, Rua Barão de Itapary, 155 - Centro, São Luís, MA, 65020-070, Brazil.
Marco Antonio BarbieriFaculty of Medicine of Ribeirão Preto, Department of Childcare and Pediatrics, University of São Paulo, São Paulo, Brazil.
Alexandre Archanjo FerraroDepartment of Pediatrics, Faculty of Medicine, University of São Paulo , São Paulo, Brazil.
Cecilia Claudia Costa RibeiroGraduate Program in Public Health, Public Health Department, Federal University of Maranhão, Rua Barão de Itapary, 155 - Centro, São Luís, MA, 65020-070, Brazil. cecilia_ribeiro@hotmail.com.
Universidade Federal do Maranhão · BRUniversidade de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We hypothesize that early events of diabetes and cardiovascular disease continuums would be ongoing and associated in adolescents. We investigated the association between the Insulin Resistance Phenotype and the Vascular Risk Phenotype at the end of the second decade of life and indirect pathways from social vulnerability, alcohol consumption, and body fat mass. It is a population-based study in the RPS cohort of 18-19 years (n = 2,515), São Luís, Brazil. The theoretical model analyzed the association between Insulin Resistance Phenotype and Vascular Risk Phenotype by sex, using structural equation modeling (SEM). The Insulin Resistance Phenotype was a latent variable deduced from the correlations of Triglyceride to HDL ratio, Triglyceride Glycemic index, and VLDL; the Vascular Risk Phenotype was deduced from Systolic Blood Pressure, Diastolic Blood Pressure, and Pulse Wave Velocity. The Insulin Resistance Phenotype was directly associated with the Vascular Risk Phenotype in males (standardized coefficient SC = 0.183; p < 0.001) and females (SC = 0.152; p < 0.001). The Insulin Resistance Phenotype was an indirect pathway in the association of alcohol consumption and higher values of fat mass index with the Vascular Risk Phenotype. VLDL presented the highest factor loading, appearing as a marker of insulin resistance linked to cardiovascular risk in young people. Lower values of socioeconomic status, harmful use of alcohol, and high body fat values were also associated with higher values of the two phenotypes. The association of the Insulin Resistance Phenotype with the Vascular Risk Phenotype suggests common pathophysiological mechanisms present in early events in the continuums of diabetes and cardiovascular disease in adolescence.

Indexed as

Cardiovascular DiseasesInsulin ResistanceBlood PressureBody Mass IndexFemaleHumansInsulinMalePhenotypePulse Wave AnalysisRisk FactorsTriglyceridesInsulinTriglyceridesAdolescentsBlood pressureInsulin resistancePulse wave speedVLDL-Cholesterol

Identifiers

PMID36536371
PMCPMC9764704
OpenAlexW4311940469

What OpenQuestion holds

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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.