Healthy Chilean Adolescents with HOMA-IR ≥ 2.6 Have Increased Cardiometabolic Risk: Association with Genetic, Biological, and Environmental Factors

Objective. To determine the optimal cutoff of the homeostasis model assessment-insulin resistance (HOMA-IR) for diagnosis of the metabolic syndrome (MetS) in adolescents and examine whether insulin resistance (IR), determined by this method, was related to genetic, biological, and environmental fact...

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Main Authors: R. Burrows, P. Correa-Burrows, M. Reyes, E. Blanco, C. Albala, S. Gahagan
Format: Article
Language:English
Published: Wiley 2015-01-01
Series:Journal of Diabetes Research
Online Access:http://dx.doi.org/10.1155/2015/783296
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author R. Burrows
P. Correa-Burrows
M. Reyes
E. Blanco
C. Albala
S. Gahagan
author_facet R. Burrows
P. Correa-Burrows
M. Reyes
E. Blanco
C. Albala
S. Gahagan
author_sort R. Burrows
collection DOAJ
description Objective. To determine the optimal cutoff of the homeostasis model assessment-insulin resistance (HOMA-IR) for diagnosis of the metabolic syndrome (MetS) in adolescents and examine whether insulin resistance (IR), determined by this method, was related to genetic, biological, and environmental factors. Methods. In 667 adolescents (16.8 ± 0.3 y), BMI, waist circumference, glucose, insulin, adiponectin, diet, and physical activity were measured. Fat and fat-free mass were assessed by dual-energy X-ray absorptiometry. Family history of type 2 diabetes (FHDM) was reported. We determined the optimal cutoff of HOMA-IR to diagnose MetS (IDF criteria) using ROC analysis. IR was defined as HOMA-IR values above the cutoff. We tested the influence of genetic, biological, and environmental factors on IR using logistic regression analyses. Results. Of the participants, 16% were obese and 9.4 % met criteria for MetS. The optimal cutoff for MetS diagnosis was a HOMA-IR value of 2.6. Based on this value, 16.3% of participants had IR. Adolescents with IR had a significantly higher prevalence of obesity, abdominal obesity, fasting hyperglycemia, and MetS compared to those who were not IR. FHDM, sarcopenia, obesity, and low adiponectin significantly increased the risk of IR. Conclusions. In adolescents, HOMA-IR ≥ 2.6 was associated with greater cardiometabolic risk.
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spelling doaj-art-3c0ea878c3d4474f9b8826ec1e5eb5a42025-02-03T05:46:35ZengWileyJournal of Diabetes Research2314-67452314-67532015-01-01201510.1155/2015/783296783296Healthy Chilean Adolescents with HOMA-IR ≥ 2.6 Have Increased Cardiometabolic Risk: Association with Genetic, Biological, and Environmental FactorsR. Burrows0P. Correa-Burrows1M. Reyes2E. Blanco3C. Albala4S. Gahagan5Institute of Nutrition and Food Technology, University of Chile, Avenida El Líbano 5524, Macul, 7840390 Santiago, ChileInstitute of Nutrition and Food Technology, University of Chile, Avenida El Líbano 5524, Macul, 7840390 Santiago, ChileInstitute of Nutrition and Food Technology, University of Chile, Avenida El Líbano 5524, Macul, 7840390 Santiago, ChileDivision of Child Development and Community Health, University of California, San Diego, 9500 Gilman Drive, MC 0927, La Jolla, San Diego, CA 92093-0927, USAInstitute of Nutrition and Food Technology, University of Chile, Avenida El Líbano 5524, Macul, 7840390 Santiago, ChileDivision of Child Development and Community Health, University of California, San Diego, 9500 Gilman Drive, MC 0927, La Jolla, San Diego, CA 92093-0927, USAObjective. To determine the optimal cutoff of the homeostasis model assessment-insulin resistance (HOMA-IR) for diagnosis of the metabolic syndrome (MetS) in adolescents and examine whether insulin resistance (IR), determined by this method, was related to genetic, biological, and environmental factors. Methods. In 667 adolescents (16.8 ± 0.3 y), BMI, waist circumference, glucose, insulin, adiponectin, diet, and physical activity were measured. Fat and fat-free mass were assessed by dual-energy X-ray absorptiometry. Family history of type 2 diabetes (FHDM) was reported. We determined the optimal cutoff of HOMA-IR to diagnose MetS (IDF criteria) using ROC analysis. IR was defined as HOMA-IR values above the cutoff. We tested the influence of genetic, biological, and environmental factors on IR using logistic regression analyses. Results. Of the participants, 16% were obese and 9.4 % met criteria for MetS. The optimal cutoff for MetS diagnosis was a HOMA-IR value of 2.6. Based on this value, 16.3% of participants had IR. Adolescents with IR had a significantly higher prevalence of obesity, abdominal obesity, fasting hyperglycemia, and MetS compared to those who were not IR. FHDM, sarcopenia, obesity, and low adiponectin significantly increased the risk of IR. Conclusions. In adolescents, HOMA-IR ≥ 2.6 was associated with greater cardiometabolic risk.http://dx.doi.org/10.1155/2015/783296
spellingShingle R. Burrows
P. Correa-Burrows
M. Reyes
E. Blanco
C. Albala
S. Gahagan
Healthy Chilean Adolescents with HOMA-IR ≥ 2.6 Have Increased Cardiometabolic Risk: Association with Genetic, Biological, and Environmental Factors
Journal of Diabetes Research
title Healthy Chilean Adolescents with HOMA-IR ≥ 2.6 Have Increased Cardiometabolic Risk: Association with Genetic, Biological, and Environmental Factors
title_full Healthy Chilean Adolescents with HOMA-IR ≥ 2.6 Have Increased Cardiometabolic Risk: Association with Genetic, Biological, and Environmental Factors
title_fullStr Healthy Chilean Adolescents with HOMA-IR ≥ 2.6 Have Increased Cardiometabolic Risk: Association with Genetic, Biological, and Environmental Factors
title_full_unstemmed Healthy Chilean Adolescents with HOMA-IR ≥ 2.6 Have Increased Cardiometabolic Risk: Association with Genetic, Biological, and Environmental Factors
title_short Healthy Chilean Adolescents with HOMA-IR ≥ 2.6 Have Increased Cardiometabolic Risk: Association with Genetic, Biological, and Environmental Factors
title_sort healthy chilean adolescents with homa ir ≥ 2 6 have increased cardiometabolic risk association with genetic biological and environmental factors
url http://dx.doi.org/10.1155/2015/783296
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