Cargando…
Association between anthropometric indices and cardiometabolic risk factors in pre-school children
BACKGROUND: The world health organization (WHO) and the Identification and prevention of dietary- and lifestyle-induced health effects in children and infants- study (IDEFICS), released anthropometric reference values obtained from normal body weight children. This study examined the relationship be...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4636828/ https://www.ncbi.nlm.nih.gov/pubmed/26546280 http://dx.doi.org/10.1186/s12887-015-0500-y |
_version_ | 1782399713249591296 |
---|---|
author | Aristizabal, Juan C. Barona, Jacqueline Hoyos, Marcela Ruiz, Marcela Marín, Catalina |
author_facet | Aristizabal, Juan C. Barona, Jacqueline Hoyos, Marcela Ruiz, Marcela Marín, Catalina |
author_sort | Aristizabal, Juan C. |
collection | PubMed |
description | BACKGROUND: The world health organization (WHO) and the Identification and prevention of dietary- and lifestyle-induced health effects in children and infants- study (IDEFICS), released anthropometric reference values obtained from normal body weight children. This study examined the relationship between WHO [body mass index (BMI) and triceps- and subscapular-skinfolds], and IDEFICS (waist circumference, waist to height ratio and fat mass index) anthropometric indices with cardiometabolic risk factors in pre-school children ranging from normal body weight to obesity. METHODS: A cross-sectional study with 232 children (aged 4.1 ± 0.05 years) was performed. Anthropometric measurements were collected and BMI, waist circumference, waist to height ratio, triceps- and subscapular-skinfolds sum and fat mass index were calculated. Fasting glucose, fasting insulin, homeostasis model analysis insulin resistance (HOMA-IR), blood lipids and apolipoprotein (Apo) B-100 (Apo B) and Apo A-I were determined. Pearson’s correlation coefficient, multiple regression analysis and the receiver-operating characteristic (ROC) curve analysis were run. RESULTS: 51 % (n = 73) of the boys and 52 % (n = 47) of the girls were of normal body weight, 49 % (n = 69) of the boys and 48 % (n = 43) of the girls were overweight or obese. Anthropometric indices correlated (p < 0.001) with insulin: [BMI (r = 0.514), waist circumference (r = 0.524), waist to height ratio (r = 0.304), triceps- and subscapular-skinfolds sum (r = 0.514) and fat mass index (r = 0.500)], and HOMA-IR: [BMI (r = 0.509), waist circumference (r = 0.521), waist to height ratio (r = 0.296), triceps- and subscapular-skinfolds sum (r = 0.483) and fat mass index (r = 0.492)]. Similar results were obtained after adjusting by age and sex. The areas under the curve (AUC) to identify children with insulin resistance were significant (p < 0.001) and similar among anthropometric indices (AUC > 0.68 to AUC < 0.76). CONCLUSIONS: WHO and IDEFICS anthropometric indices correlated similarly with fasting insulin and HOMA-IR. The diagnostic accuracy of the anthropometric indices as a proxy to identify children with insulin resistance was similar. These data do not support the use of waist circumference, waist to height ratio, triceps- and subscapular- skinfolds sum or fat mass index, instead of the BMI as a proxy to identify pre-school children with insulin resistance, the most frequent alteration found in children ranging from normal body weight to obesity. |
format | Online Article Text |
id | pubmed-4636828 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-46368282015-11-08 Association between anthropometric indices and cardiometabolic risk factors in pre-school children Aristizabal, Juan C. Barona, Jacqueline Hoyos, Marcela Ruiz, Marcela Marín, Catalina BMC Pediatr Research Article BACKGROUND: The world health organization (WHO) and the Identification and prevention of dietary- and lifestyle-induced health effects in children and infants- study (IDEFICS), released anthropometric reference values obtained from normal body weight children. This study examined the relationship between WHO [body mass index (BMI) and triceps- and subscapular-skinfolds], and IDEFICS (waist circumference, waist to height ratio and fat mass index) anthropometric indices with cardiometabolic risk factors in pre-school children ranging from normal body weight to obesity. METHODS: A cross-sectional study with 232 children (aged 4.1 ± 0.05 years) was performed. Anthropometric measurements were collected and BMI, waist circumference, waist to height ratio, triceps- and subscapular-skinfolds sum and fat mass index were calculated. Fasting glucose, fasting insulin, homeostasis model analysis insulin resistance (HOMA-IR), blood lipids and apolipoprotein (Apo) B-100 (Apo B) and Apo A-I were determined. Pearson’s correlation coefficient, multiple regression analysis and the receiver-operating characteristic (ROC) curve analysis were run. RESULTS: 51 % (n = 73) of the boys and 52 % (n = 47) of the girls were of normal body weight, 49 % (n = 69) of the boys and 48 % (n = 43) of the girls were overweight or obese. Anthropometric indices correlated (p < 0.001) with insulin: [BMI (r = 0.514), waist circumference (r = 0.524), waist to height ratio (r = 0.304), triceps- and subscapular-skinfolds sum (r = 0.514) and fat mass index (r = 0.500)], and HOMA-IR: [BMI (r = 0.509), waist circumference (r = 0.521), waist to height ratio (r = 0.296), triceps- and subscapular-skinfolds sum (r = 0.483) and fat mass index (r = 0.492)]. Similar results were obtained after adjusting by age and sex. The areas under the curve (AUC) to identify children with insulin resistance were significant (p < 0.001) and similar among anthropometric indices (AUC > 0.68 to AUC < 0.76). CONCLUSIONS: WHO and IDEFICS anthropometric indices correlated similarly with fasting insulin and HOMA-IR. The diagnostic accuracy of the anthropometric indices as a proxy to identify children with insulin resistance was similar. These data do not support the use of waist circumference, waist to height ratio, triceps- and subscapular- skinfolds sum or fat mass index, instead of the BMI as a proxy to identify pre-school children with insulin resistance, the most frequent alteration found in children ranging from normal body weight to obesity. BioMed Central 2015-11-06 /pmc/articles/PMC4636828/ /pubmed/26546280 http://dx.doi.org/10.1186/s12887-015-0500-y Text en © Aristizabal et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Aristizabal, Juan C. Barona, Jacqueline Hoyos, Marcela Ruiz, Marcela Marín, Catalina Association between anthropometric indices and cardiometabolic risk factors in pre-school children |
title | Association between anthropometric indices and cardiometabolic risk factors in pre-school children |
title_full | Association between anthropometric indices and cardiometabolic risk factors in pre-school children |
title_fullStr | Association between anthropometric indices and cardiometabolic risk factors in pre-school children |
title_full_unstemmed | Association between anthropometric indices and cardiometabolic risk factors in pre-school children |
title_short | Association between anthropometric indices and cardiometabolic risk factors in pre-school children |
title_sort | association between anthropometric indices and cardiometabolic risk factors in pre-school children |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4636828/ https://www.ncbi.nlm.nih.gov/pubmed/26546280 http://dx.doi.org/10.1186/s12887-015-0500-y |
work_keys_str_mv | AT aristizabaljuanc associationbetweenanthropometricindicesandcardiometabolicriskfactorsinpreschoolchildren AT baronajacqueline associationbetweenanthropometricindicesandcardiometabolicriskfactorsinpreschoolchildren AT hoyosmarcela associationbetweenanthropometricindicesandcardiometabolicriskfactorsinpreschoolchildren AT ruizmarcela associationbetweenanthropometricindicesandcardiometabolicriskfactorsinpreschoolchildren AT marincatalina associationbetweenanthropometricindicesandcardiometabolicriskfactorsinpreschoolchildren |