Cargando…
Indicators of the metabolic syndrome in obese adolescents
INTRODUCTION: To assess the prevalence of metabolic risk indicators for the metabolic syndrome (MS) in a sample of obese Egyptian adolescents and to compare anthropometric and biochemical parameters in subjects with one or two parameters of the MS with those who meet MS criteria. MATERIAL AND METHOD...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Termedia Publishing House
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4379376/ https://www.ncbi.nlm.nih.gov/pubmed/25861294 http://dx.doi.org/10.5114/aoms.2015.49214 |
_version_ | 1782364175560867840 |
---|---|
author | Zaki, Moushira Erfan El-Bassyouni, Hala T. El-Gammal, Mona Kamal, Sanaa |
author_facet | Zaki, Moushira Erfan El-Bassyouni, Hala T. El-Gammal, Mona Kamal, Sanaa |
author_sort | Zaki, Moushira Erfan |
collection | PubMed |
description | INTRODUCTION: To assess the prevalence of metabolic risk indicators for the metabolic syndrome (MS) in a sample of obese Egyptian adolescents and to compare anthropometric and biochemical parameters in subjects with one or two parameters of the MS with those who meet MS criteria. MATERIAL AND METHODS: A descriptive, cross-sectional study was conducted on 300 obese adolescents, with a mean age of 15.45 ±2.54 years. Variables examined included body mass index (BMI), waist circumference (WC), waist to hip ratio (WHR), systolic and diastolic blood pressure (BP), fasting blood glucose, cholesterol, triglycerides (TG), high-density lipoprotein (HDL), low-density lipoproteins (LDL), insulin and insulin resistance (IR) measured by Homeostasis Model Assessment-Insulin Resistance (HOMA-IR). Receiver operating characteristic (ROC) curve analysis was used to determine the predictive powers of anthropometric parameters associated with increased risk for the MS. RESULTS: The overall prevalence of the MS was 20%. Individuals meeting 3 or more MS criteria had significantly higher levels of BP, TG, glucose, insulin and HOMA-R and low HDL levels compared with those who had 1 or 2 MS criteria. Area under the curve (AUC) for identifying the MS risk factors was the highest for WHR, followed by WC and BMI in both genders (p < 0.001). CONCLUSIONS: The most prevalent metabolic risk factors that compose the MS were arterial hypertension, low HDL and hypertriglyceridemia; BMI tended to be the weakest index for identifying MS risk factors, while WHR was the best predictive index in both genders. |
format | Online Article Text |
id | pubmed-4379376 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Termedia Publishing House |
record_format | MEDLINE/PubMed |
spelling | pubmed-43793762015-04-08 Indicators of the metabolic syndrome in obese adolescents Zaki, Moushira Erfan El-Bassyouni, Hala T. El-Gammal, Mona Kamal, Sanaa Arch Med Sci Clinical Research INTRODUCTION: To assess the prevalence of metabolic risk indicators for the metabolic syndrome (MS) in a sample of obese Egyptian adolescents and to compare anthropometric and biochemical parameters in subjects with one or two parameters of the MS with those who meet MS criteria. MATERIAL AND METHODS: A descriptive, cross-sectional study was conducted on 300 obese adolescents, with a mean age of 15.45 ±2.54 years. Variables examined included body mass index (BMI), waist circumference (WC), waist to hip ratio (WHR), systolic and diastolic blood pressure (BP), fasting blood glucose, cholesterol, triglycerides (TG), high-density lipoprotein (HDL), low-density lipoproteins (LDL), insulin and insulin resistance (IR) measured by Homeostasis Model Assessment-Insulin Resistance (HOMA-IR). Receiver operating characteristic (ROC) curve analysis was used to determine the predictive powers of anthropometric parameters associated with increased risk for the MS. RESULTS: The overall prevalence of the MS was 20%. Individuals meeting 3 or more MS criteria had significantly higher levels of BP, TG, glucose, insulin and HOMA-R and low HDL levels compared with those who had 1 or 2 MS criteria. Area under the curve (AUC) for identifying the MS risk factors was the highest for WHR, followed by WC and BMI in both genders (p < 0.001). CONCLUSIONS: The most prevalent metabolic risk factors that compose the MS were arterial hypertension, low HDL and hypertriglyceridemia; BMI tended to be the weakest index for identifying MS risk factors, while WHR was the best predictive index in both genders. Termedia Publishing House 2015-03-14 2015-03-16 /pmc/articles/PMC4379376/ /pubmed/25861294 http://dx.doi.org/10.5114/aoms.2015.49214 Text en Copyright © 2015 Termedia & Banach http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-Noncommercial 3.0 Unported License, permitting all non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Clinical Research Zaki, Moushira Erfan El-Bassyouni, Hala T. El-Gammal, Mona Kamal, Sanaa Indicators of the metabolic syndrome in obese adolescents |
title | Indicators of the metabolic syndrome in obese adolescents |
title_full | Indicators of the metabolic syndrome in obese adolescents |
title_fullStr | Indicators of the metabolic syndrome in obese adolescents |
title_full_unstemmed | Indicators of the metabolic syndrome in obese adolescents |
title_short | Indicators of the metabolic syndrome in obese adolescents |
title_sort | indicators of the metabolic syndrome in obese adolescents |
topic | Clinical Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4379376/ https://www.ncbi.nlm.nih.gov/pubmed/25861294 http://dx.doi.org/10.5114/aoms.2015.49214 |
work_keys_str_mv | AT zakimoushiraerfan indicatorsofthemetabolicsyndromeinobeseadolescents AT elbassyounihalat indicatorsofthemetabolicsyndromeinobeseadolescents AT elgammalmona indicatorsofthemetabolicsyndromeinobeseadolescents AT kamalsanaa indicatorsofthemetabolicsyndromeinobeseadolescents |