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Ability of Different Measures of Adiposity to Identify High Metabolic Risk in Adolescents

Introduction. This study aimed to evaluate the screening performance of different measures of adiposity: body mass index (BMI), waist circumference (WC), and waist-to-height ratio (WHtR) for high metabolic risk in a sample of adolescents. Methods. A cross-sectional school-based study was conducted o...

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Autores principales: Moreira, Carla, Santos, Rute, Vale, Susana, Santos, Paula C., Abreu, Sandra, Marques, Ana I., Soares-Miranda, Luísa, Mota, Jorge
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3139858/
https://www.ncbi.nlm.nih.gov/pubmed/21792387
http://dx.doi.org/10.1155/2011/578106
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author Moreira, Carla
Santos, Rute
Vale, Susana
Santos, Paula C.
Abreu, Sandra
Marques, Ana I.
Soares-Miranda, Luísa
Mota, Jorge
author_facet Moreira, Carla
Santos, Rute
Vale, Susana
Santos, Paula C.
Abreu, Sandra
Marques, Ana I.
Soares-Miranda, Luísa
Mota, Jorge
author_sort Moreira, Carla
collection PubMed
description Introduction. This study aimed to evaluate the screening performance of different measures of adiposity: body mass index (BMI), waist circumference (WC), and waist-to-height ratio (WHtR) for high metabolic risk in a sample of adolescents. Methods. A cross-sectional school-based study was conducted on 517 adolescents aged 15–18, from the Azorean Islands, Portugal. We measured fasting glucose, insulin, total cholesterol (TC), HDL-cholesterol, triglycerides, and systolic blood pressure. HOMA and TC/HDL-C ratio were calculated. For each of these variables, a Z-score was computed by age and sex. A metabolic risk score (MRS) was constructed by summing the Z-scores of all individual risk factors. High risk was considered when the individual had ≥1SD of this score. Receiver-operating characteristics (ROC) were used. Results. Linear regression analyses showed that, after adjusting for age and pubertal stage, all different measures of adiposity are positively and significantly associated with MRS in both sexes, with exception of WHtR for boys. BMI, WC, and WHtR performed well in detecting high MRS, indicated by areas under the curve (AUC), with slightly greater AUC for BMI than for WC and WHtR in both sexes. Conclusion. All measures of adiposity were significantly associated with metabolic risk factors in a sample of Portuguese adolescents.
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spelling pubmed-31398582011-07-26 Ability of Different Measures of Adiposity to Identify High Metabolic Risk in Adolescents Moreira, Carla Santos, Rute Vale, Susana Santos, Paula C. Abreu, Sandra Marques, Ana I. Soares-Miranda, Luísa Mota, Jorge J Obes Research Article Introduction. This study aimed to evaluate the screening performance of different measures of adiposity: body mass index (BMI), waist circumference (WC), and waist-to-height ratio (WHtR) for high metabolic risk in a sample of adolescents. Methods. A cross-sectional school-based study was conducted on 517 adolescents aged 15–18, from the Azorean Islands, Portugal. We measured fasting glucose, insulin, total cholesterol (TC), HDL-cholesterol, triglycerides, and systolic blood pressure. HOMA and TC/HDL-C ratio were calculated. For each of these variables, a Z-score was computed by age and sex. A metabolic risk score (MRS) was constructed by summing the Z-scores of all individual risk factors. High risk was considered when the individual had ≥1SD of this score. Receiver-operating characteristics (ROC) were used. Results. Linear regression analyses showed that, after adjusting for age and pubertal stage, all different measures of adiposity are positively and significantly associated with MRS in both sexes, with exception of WHtR for boys. BMI, WC, and WHtR performed well in detecting high MRS, indicated by areas under the curve (AUC), with slightly greater AUC for BMI than for WC and WHtR in both sexes. Conclusion. All measures of adiposity were significantly associated with metabolic risk factors in a sample of Portuguese adolescents. Hindawi Publishing Corporation 2011 2011-07-11 /pmc/articles/PMC3139858/ /pubmed/21792387 http://dx.doi.org/10.1155/2011/578106 Text en Copyright © 2011 Carla Moreira et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Moreira, Carla
Santos, Rute
Vale, Susana
Santos, Paula C.
Abreu, Sandra
Marques, Ana I.
Soares-Miranda, Luísa
Mota, Jorge
Ability of Different Measures of Adiposity to Identify High Metabolic Risk in Adolescents
title Ability of Different Measures of Adiposity to Identify High Metabolic Risk in Adolescents
title_full Ability of Different Measures of Adiposity to Identify High Metabolic Risk in Adolescents
title_fullStr Ability of Different Measures of Adiposity to Identify High Metabolic Risk in Adolescents
title_full_unstemmed Ability of Different Measures of Adiposity to Identify High Metabolic Risk in Adolescents
title_short Ability of Different Measures of Adiposity to Identify High Metabolic Risk in Adolescents
title_sort ability of different measures of adiposity to identify high metabolic risk in adolescents
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3139858/
https://www.ncbi.nlm.nih.gov/pubmed/21792387
http://dx.doi.org/10.1155/2011/578106
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