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Association of Metabolic Syndrome with Body Fat Percent, Anthropometric Indices in 10 To 18 Year Old Adolescents

BACKGROUND: Our aim was to evaluate the association of metabolic syndrome (MetS) and its components with body fat percentage (BFP) and anthropometric indicesin10 to 18year old adolescents. METHODS: This was a cross-sectional study conducted on 134 Tehranian adolescents, aged 10 to 18 years (66 boys...

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Autores principales: MIRMIRAN, Parvin, REZAEI, Mansoureh, ASGHARI, Golaleh, MEHRABI, Yadollah, AZIZI, Fereidoun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Tehran University of Medical Sciences 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4450687/
https://www.ncbi.nlm.nih.gov/pubmed/26060743
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author MIRMIRAN, Parvin
REZAEI, Mansoureh
ASGHARI, Golaleh
MEHRABI, Yadollah
AZIZI, Fereidoun
author_facet MIRMIRAN, Parvin
REZAEI, Mansoureh
ASGHARI, Golaleh
MEHRABI, Yadollah
AZIZI, Fereidoun
author_sort MIRMIRAN, Parvin
collection PubMed
description BACKGROUND: Our aim was to evaluate the association of metabolic syndrome (MetS) and its components with body fat percentage (BFP) and anthropometric indicesin10 to 18year old adolescents. METHODS: This was a cross-sectional study conducted on 134 Tehranian adolescents, aged 10 to 18 years (66 boys and 68 girls) in 2007. The MetS definition proposed by Cook et al. was used. Logistic regression was used to determine the relationship of MetS and its components with body mass index (BMI), waist circumference (WC), waist to height ratio (WHtR), and BFP. Using the areas under the receiver operating characteristic (ROC) curve, the discriminatory ability of anthropometric measurements and BFP was evaluated. RESULTS: The mean±SD forage of boys and girls was14.5±2.3and13.0±2.9 years, respectively (P=0.001); the prevalence of MetS in these groups was 32.3 and6.5%, respectively (P=0.001). After adjusting for sex and physical activity, the highest odds ratios (95% CI) for MetS and hypertriglyceridemia were found for WC, 6.27 (2.63-14.94; P<0.05)and 3.14 (1.87-5.27; P<0.05), respectively, and those for low HDL-C and hypertension were found for BMI, 2.91 (1.73-4.90; P<0.05)and 2.26 (1.27-4.02; P=0.05), respectively. After adjusting for sex and physical activity, the highest area under ROC curve for MetS and hypertriglyceridemia was seen for WC (P=0.001), for hypertension it was seen for BMI (P=0.001), and for low HDL-C it was observed for both WC and BMI (P=0.001). CONCLUSIONS: In adolescents, WC was the best predictor of MetS and hypertriglyceridemia, BMI was the best predictor of hypertension, and WC and BMI were the best predictors for low HDL-C.
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spelling pubmed-44506872015-06-09 Association of Metabolic Syndrome with Body Fat Percent, Anthropometric Indices in 10 To 18 Year Old Adolescents MIRMIRAN, Parvin REZAEI, Mansoureh ASGHARI, Golaleh MEHRABI, Yadollah AZIZI, Fereidoun Iran J Public Health Original Article BACKGROUND: Our aim was to evaluate the association of metabolic syndrome (MetS) and its components with body fat percentage (BFP) and anthropometric indicesin10 to 18year old adolescents. METHODS: This was a cross-sectional study conducted on 134 Tehranian adolescents, aged 10 to 18 years (66 boys and 68 girls) in 2007. The MetS definition proposed by Cook et al. was used. Logistic regression was used to determine the relationship of MetS and its components with body mass index (BMI), waist circumference (WC), waist to height ratio (WHtR), and BFP. Using the areas under the receiver operating characteristic (ROC) curve, the discriminatory ability of anthropometric measurements and BFP was evaluated. RESULTS: The mean±SD forage of boys and girls was14.5±2.3and13.0±2.9 years, respectively (P=0.001); the prevalence of MetS in these groups was 32.3 and6.5%, respectively (P=0.001). After adjusting for sex and physical activity, the highest odds ratios (95% CI) for MetS and hypertriglyceridemia were found for WC, 6.27 (2.63-14.94; P<0.05)and 3.14 (1.87-5.27; P<0.05), respectively, and those for low HDL-C and hypertension were found for BMI, 2.91 (1.73-4.90; P<0.05)and 2.26 (1.27-4.02; P=0.05), respectively. After adjusting for sex and physical activity, the highest area under ROC curve for MetS and hypertriglyceridemia was seen for WC (P=0.001), for hypertension it was seen for BMI (P=0.001), and for low HDL-C it was observed for both WC and BMI (P=0.001). CONCLUSIONS: In adolescents, WC was the best predictor of MetS and hypertriglyceridemia, BMI was the best predictor of hypertension, and WC and BMI were the best predictors for low HDL-C. Tehran University of Medical Sciences 2014-02 /pmc/articles/PMC4450687/ /pubmed/26060743 Text en Copyright © Iranian Public Health Association & Tehran University of Medical Sciences This work is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License which allows users to read, copy, distribute and make derivative works for non-commercial purposes from the material, as long as the author of the original work is cited properly.
spellingShingle Original Article
MIRMIRAN, Parvin
REZAEI, Mansoureh
ASGHARI, Golaleh
MEHRABI, Yadollah
AZIZI, Fereidoun
Association of Metabolic Syndrome with Body Fat Percent, Anthropometric Indices in 10 To 18 Year Old Adolescents
title Association of Metabolic Syndrome with Body Fat Percent, Anthropometric Indices in 10 To 18 Year Old Adolescents
title_full Association of Metabolic Syndrome with Body Fat Percent, Anthropometric Indices in 10 To 18 Year Old Adolescents
title_fullStr Association of Metabolic Syndrome with Body Fat Percent, Anthropometric Indices in 10 To 18 Year Old Adolescents
title_full_unstemmed Association of Metabolic Syndrome with Body Fat Percent, Anthropometric Indices in 10 To 18 Year Old Adolescents
title_short Association of Metabolic Syndrome with Body Fat Percent, Anthropometric Indices in 10 To 18 Year Old Adolescents
title_sort association of metabolic syndrome with body fat percent, anthropometric indices in 10 to 18 year old adolescents
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4450687/
https://www.ncbi.nlm.nih.gov/pubmed/26060743
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