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Metabolic syndrome and insulin resistance in obese adolescents
OBJECTIVE: To verify the prevalence of metabolic syndrome and insulin resistance in obese adolescents and its relationship with different body composition indicators. METHODS: A cross-sectional study comprising 79 adolescents aged ten to 18 years old. The assessed body composition indicators were: b...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Sociedade de Pediatria de São Paulo
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4182990/ https://www.ncbi.nlm.nih.gov/pubmed/24676191 http://dx.doi.org/10.1590/S0103-05822014000100010 |
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author | Gobato, Amanda Oliva Vasques, Ana Carolina J. Zambon, Mariana Porto Barros, Antonio de Azevedo Hessel, Gabriel |
author_facet | Gobato, Amanda Oliva Vasques, Ana Carolina J. Zambon, Mariana Porto Barros, Antonio de Azevedo Hessel, Gabriel |
author_sort | Gobato, Amanda Oliva |
collection | PubMed |
description | OBJECTIVE: To verify the prevalence of metabolic syndrome and insulin resistance in obese adolescents and its relationship with different body composition indicators. METHODS: A cross-sectional study comprising 79 adolescents aged ten to 18 years old. The assessed body composition indicators were: body mass index (BMI), body fat percentage, abdominal circumference, and subcutaneous fat. The metabolic syndrome was diagnosed according to the criteria proposed by Cook et al. The insulin resistance was determined by the Homeostasis Model Assessment for Insulin Resistance (HOMA-IR) index for values above 3.16. The analysis of ROC curves was used to assess the BMI and the abdominal circumference, aiming to identify the subjects with metabolic syndrome and insulin resistance. The cutoff point corresponded to the percentage above the reference value used to diagnose obesity. RESULTS: The metabolic syndrome was diagnosed in 45.5% of the patients and insulin resistance, in 29.1%. Insulin resistance showed association with HDL-cholesterol (p=0.032) and with metabolic syndrome (p=0.006). All body composition indicators were correlated with insulin resistance (p<0.01). In relation to the cutoff point evaluation, the values of 23.5 and 36.3% above the BMI reference point allowed the identification of insulin resistance and metabolic syndrome. The best cutoff point for abdominal circumference to identify insulin resistance was 40%. CONCLUSIONS: All body composition indicators, HDL-cholesterol and metabolic syndrome showed correlation with insulin resistance. The BMI was the most effective anthropometric indicator to identify insulin resistance. |
format | Online Article Text |
id | pubmed-4182990 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Sociedade de Pediatria de São Paulo |
record_format | MEDLINE/PubMed |
spelling | pubmed-41829902014-10-14 Metabolic syndrome and insulin resistance in obese adolescents Gobato, Amanda Oliva Vasques, Ana Carolina J. Zambon, Mariana Porto Barros, Antonio de Azevedo Hessel, Gabriel Rev Paul Pediatr Original Article OBJECTIVE: To verify the prevalence of metabolic syndrome and insulin resistance in obese adolescents and its relationship with different body composition indicators. METHODS: A cross-sectional study comprising 79 adolescents aged ten to 18 years old. The assessed body composition indicators were: body mass index (BMI), body fat percentage, abdominal circumference, and subcutaneous fat. The metabolic syndrome was diagnosed according to the criteria proposed by Cook et al. The insulin resistance was determined by the Homeostasis Model Assessment for Insulin Resistance (HOMA-IR) index for values above 3.16. The analysis of ROC curves was used to assess the BMI and the abdominal circumference, aiming to identify the subjects with metabolic syndrome and insulin resistance. The cutoff point corresponded to the percentage above the reference value used to diagnose obesity. RESULTS: The metabolic syndrome was diagnosed in 45.5% of the patients and insulin resistance, in 29.1%. Insulin resistance showed association with HDL-cholesterol (p=0.032) and with metabolic syndrome (p=0.006). All body composition indicators were correlated with insulin resistance (p<0.01). In relation to the cutoff point evaluation, the values of 23.5 and 36.3% above the BMI reference point allowed the identification of insulin resistance and metabolic syndrome. The best cutoff point for abdominal circumference to identify insulin resistance was 40%. CONCLUSIONS: All body composition indicators, HDL-cholesterol and metabolic syndrome showed correlation with insulin resistance. The BMI was the most effective anthropometric indicator to identify insulin resistance. Sociedade de Pediatria de São Paulo 2014-03 /pmc/articles/PMC4182990/ /pubmed/24676191 http://dx.doi.org/10.1590/S0103-05822014000100010 Text en http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Gobato, Amanda Oliva Vasques, Ana Carolina J. Zambon, Mariana Porto Barros, Antonio de Azevedo Hessel, Gabriel Metabolic syndrome and insulin resistance in obese adolescents |
title | Metabolic syndrome and insulin resistance in obese
adolescents |
title_full | Metabolic syndrome and insulin resistance in obese
adolescents |
title_fullStr | Metabolic syndrome and insulin resistance in obese
adolescents |
title_full_unstemmed | Metabolic syndrome and insulin resistance in obese
adolescents |
title_short | Metabolic syndrome and insulin resistance in obese
adolescents |
title_sort | metabolic syndrome and insulin resistance in obese
adolescents |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4182990/ https://www.ncbi.nlm.nih.gov/pubmed/24676191 http://dx.doi.org/10.1590/S0103-05822014000100010 |
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