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Severe Obesity and Cardiometabolic Risk in Children: Comparison from Two International Classification Systems

OBJECTIVES: There is no agreed-upon definition for severe obesity (Sev-OB) in children. We compared estimates of Sev-OB as defined by different cut-points of body mass index (BMI) from the Centers for Disease Control and Prevention (CDC) or the World Health Organization (WHO) curves and the ability...

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Autores principales: Valerio, Giuliana, Maffeis, Claudio, Balsamo, Antonio, Del Giudice, Emanuele Miraglia, Brufani, Claudia, Grugni, Graziano, Licenziati, Maria Rosaria, Brambilla, Paolo, Manco, Melania
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3873982/
https://www.ncbi.nlm.nih.gov/pubmed/24386280
http://dx.doi.org/10.1371/journal.pone.0083793
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author Valerio, Giuliana
Maffeis, Claudio
Balsamo, Antonio
Del Giudice, Emanuele Miraglia
Brufani, Claudia
Grugni, Graziano
Licenziati, Maria Rosaria
Brambilla, Paolo
Manco, Melania
author_facet Valerio, Giuliana
Maffeis, Claudio
Balsamo, Antonio
Del Giudice, Emanuele Miraglia
Brufani, Claudia
Grugni, Graziano
Licenziati, Maria Rosaria
Brambilla, Paolo
Manco, Melania
author_sort Valerio, Giuliana
collection PubMed
description OBJECTIVES: There is no agreed-upon definition for severe obesity (Sev-OB) in children. We compared estimates of Sev-OB as defined by different cut-points of body mass index (BMI) from the Centers for Disease Control and Prevention (CDC) or the World Health Organization (WHO) curves and the ability of each set of cut-points to screen for the presence of cardiometabolic risk factors. RESEARCH DESIGN AND METHODS: Cross-sectional, multicenter study involving 3,340 overweight/obese young subjects. Sev-OB was defined as BMI ≥99(th) percentile or ≥1.2 times the 95(th) percentile of the CDC or the WHO curves. High blood pressure, hypertriglyceridemia, low High Density Lipoprotein -cholesterol and impaired fasting glucose were considered as cardiometabolic risk factors. RESULTS: The estimated prevalence of Sev-OB varied widely between the two reference systems. Either using the cut-point ≥99(th) percentile or ≥1.2 times the 95(th) percentile, less children were defined as Sev-OB by CDC than WHO (46.8 vs. 89.5%, and 63.3 vs. 80.4%, respectively p<0.001). The CDC 99(th) percentile had lower sensitivity (58.5 vs 94.2), higher specificity (57.6 vs 12.3) and higher positive predictive value (34.4 vs 28.9) than WHO in identifying obese children with ≥2 cardiometabolic risk factors. These differences were mitigated using the 1.2 times the 95(th) percentile (sensitivity 73.9 vs. 88.1; specificity 40.7 vs. 22.5; positive predictive value 32.1 vs. 30.1). Substantial agreement between growth curves was found using the 1.2 times the 95(th) percentile, in particular in children ≤10 years. CONCLUSIONS: Estimates of Sev-OB and cardiometabolic risk as defined by different cut-points of BMI are influenced from the reference systems used. The 1.2 times the 95(th) percentile of BMI of either CDC or WHO standard has a discriminatory advantage over the 99(th) percentile for identifying severely obese children at increased cardiometabolic risk, particularly under 10 years of age.
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spelling pubmed-38739822014-01-02 Severe Obesity and Cardiometabolic Risk in Children: Comparison from Two International Classification Systems Valerio, Giuliana Maffeis, Claudio Balsamo, Antonio Del Giudice, Emanuele Miraglia Brufani, Claudia Grugni, Graziano Licenziati, Maria Rosaria Brambilla, Paolo Manco, Melania PLoS One Research Article OBJECTIVES: There is no agreed-upon definition for severe obesity (Sev-OB) in children. We compared estimates of Sev-OB as defined by different cut-points of body mass index (BMI) from the Centers for Disease Control and Prevention (CDC) or the World Health Organization (WHO) curves and the ability of each set of cut-points to screen for the presence of cardiometabolic risk factors. RESEARCH DESIGN AND METHODS: Cross-sectional, multicenter study involving 3,340 overweight/obese young subjects. Sev-OB was defined as BMI ≥99(th) percentile or ≥1.2 times the 95(th) percentile of the CDC or the WHO curves. High blood pressure, hypertriglyceridemia, low High Density Lipoprotein -cholesterol and impaired fasting glucose were considered as cardiometabolic risk factors. RESULTS: The estimated prevalence of Sev-OB varied widely between the two reference systems. Either using the cut-point ≥99(th) percentile or ≥1.2 times the 95(th) percentile, less children were defined as Sev-OB by CDC than WHO (46.8 vs. 89.5%, and 63.3 vs. 80.4%, respectively p<0.001). The CDC 99(th) percentile had lower sensitivity (58.5 vs 94.2), higher specificity (57.6 vs 12.3) and higher positive predictive value (34.4 vs 28.9) than WHO in identifying obese children with ≥2 cardiometabolic risk factors. These differences were mitigated using the 1.2 times the 95(th) percentile (sensitivity 73.9 vs. 88.1; specificity 40.7 vs. 22.5; positive predictive value 32.1 vs. 30.1). Substantial agreement between growth curves was found using the 1.2 times the 95(th) percentile, in particular in children ≤10 years. CONCLUSIONS: Estimates of Sev-OB and cardiometabolic risk as defined by different cut-points of BMI are influenced from the reference systems used. The 1.2 times the 95(th) percentile of BMI of either CDC or WHO standard has a discriminatory advantage over the 99(th) percentile for identifying severely obese children at increased cardiometabolic risk, particularly under 10 years of age. Public Library of Science 2013-12-27 /pmc/articles/PMC3873982/ /pubmed/24386280 http://dx.doi.org/10.1371/journal.pone.0083793 Text en © 2013 Valerio et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Valerio, Giuliana
Maffeis, Claudio
Balsamo, Antonio
Del Giudice, Emanuele Miraglia
Brufani, Claudia
Grugni, Graziano
Licenziati, Maria Rosaria
Brambilla, Paolo
Manco, Melania
Severe Obesity and Cardiometabolic Risk in Children: Comparison from Two International Classification Systems
title Severe Obesity and Cardiometabolic Risk in Children: Comparison from Two International Classification Systems
title_full Severe Obesity and Cardiometabolic Risk in Children: Comparison from Two International Classification Systems
title_fullStr Severe Obesity and Cardiometabolic Risk in Children: Comparison from Two International Classification Systems
title_full_unstemmed Severe Obesity and Cardiometabolic Risk in Children: Comparison from Two International Classification Systems
title_short Severe Obesity and Cardiometabolic Risk in Children: Comparison from Two International Classification Systems
title_sort severe obesity and cardiometabolic risk in children: comparison from two international classification systems
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3873982/
https://www.ncbi.nlm.nih.gov/pubmed/24386280
http://dx.doi.org/10.1371/journal.pone.0083793
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