Evidence map›Paper›PMID 27007222›Full record

ArticleArquivos brasileiros de cardiologia2016

Correlation of Insulin Resistance with Anthropometric Measures and Blood Pressure in Adolescents.

Polyana Resende Silva de Morais, Ana Luiza Lima Sousa, Thiago de Souza Veiga Jardim, Flávia Miquetichuc Nogueira Nascente, Karla Lorena Mendonça, Thaís Inácio Rolim Povoa, Carolina de Souza Carneiro, Vanessa Roriz Ferreira, Weimar Kunz Sebba Barroso de Souza, Paulo César Brandão Veiga Jardim

Open access · diamondAbstract read
In one paragraph

Article in Arquivos brasileiros de cardiologia, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

9 citing papers in PubMed, 26 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 1 institution in 1 country.

Polyana Resende Silva de MoraisLiga de Hipertensão Arterial, Hospital das Clínicas, Universidade Federal de Goiás, GO, Brazil.
Ana Luiza Lima SousaLiga de Hipertensão Arterial, Hospital das Clínicas, Universidade Federal de Goiás, GO, Brazil.
Thiago de Souza Veiga JardimLiga de Hipertensão Arterial, Hospital das Clínicas, Universidade Federal de Goiás, GO, Brazil.
Flávia Miquetichuc Nogueira NascenteLiga de Hipertensão Arterial, Hospital das Clínicas, Universidade Federal de Goiás, GO, Brazil.
Karla Lorena MendonçaLiga de Hipertensão Arterial, Hospital das Clínicas, Universidade Federal de Goiás, GO, Brazil.
Thaís Inácio Rolim PovoaLiga de Hipertensão Arterial, Hospital das Clínicas, Universidade Federal de Goiás, GO, Brazil.
Carolina de Souza CarneiroLiga de Hipertensão Arterial, Hospital das Clínicas, Universidade Federal de Goiás, GO, Brazil.
Vanessa Roriz FerreiraLiga de Hipertensão Arterial, Hospital das Clínicas, Universidade Federal de Goiás, GO, Brazil.
Weimar Kunz Sebba Barroso de SouzaLiga de Hipertensão Arterial, Hospital das Clínicas, Universidade Federal de Goiás, GO, Brazil.
Paulo César Brandão Veiga JardimLiga de Hipertensão Arterial, Hospital das Clínicas, Universidade Federal de Goiás, GO, Brazil.
Universidade Federal de Goiás · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBlood pressure is directly related to body mass index, and individuals with increased waist circumference have higher risk of developing hypertension, insulin resistance, and other metabolic changes, since adolescence.

objectiveto evaluate the correlation of blood pressure with insulin resistance, waist circumference and body mass index in adolescents.

methodsCross-section study on a representative sample of adolescent students. One group of adolescents with altered blood pressure detected by casual blood pressure and/or home blood pressure monitoring (blood pressure > 90th percentile) and one group of normotensive adolescents were studied. Body mass index, waist circumference were measured, and fasting glucose and plasma insulin levels were determined, using the HOMA-IR index to identify insulin resistance.

resultsA total of 162 adolescents (35 with normal blood pressure and 127 with altered blood pressure) were studied; 61% (n = 99) of them were boys and the mean age was 14.9 ± 1.62 years. Thirty-eight (23.5%) adolescents had altered HOMA-IR. The group with altered blood pressure had higher values of waist circumference, body mass index and HOMA-IR (p<0.05). Waist circumference was higher among boys in both groups (p<0.05) and girls with altered blood pressure had higher HOMA-IR than boys (p<0.05). There was a significant moderate correlation between body mass index and HOMA-IR in the group with altered blood pressure (ρ = 0.394; p < 0.001), and such correlation was stronger than in the normotensive group. There was also a significant moderate correlation between waist circumference and HOMA-IR in both groups (ρ = 0.345; p < 0.05). Logistic regression showed that HOMA-IR was as predictor of altered blood pressure (odds ratio - OR = 2.0; p = 0.001).

conclusionThere was a significant association of insulin resistance with blood pressure and the impact of insulin resistance on blood pressure since childhood. The correlation and association between markers of cardiovascular diseases was more pronounced in adolescents with altered blood pressure, suggesting that primary prevention strategies for cardiovascular risk factors should be early implemented in childhood and adolescence.

Indexed as

Body Mass IndexAdolescentBiomarkersBlood GlucoseBlood PressureCardiovascular DiseasesCase-Control StudiesCross-Sectional StudiesFemaleHumansHypertensionInsulinInsulin ResistanceLogistic ModelsMaleObesityBiomarkersBlood GlucoseInsulin

Identifiers

PMID27007222
PMCPMC4845705
OpenAlexW2326808697

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.