Cargando…
Comparison between CDC and WHO BMI z-score and their relation with metabolic risk markers in Northern Portuguese obese adolescents
BACKGROUND: Growth-curves are an important tool for evaluating the anthropometric development in pediatrics. The different growth-curves available are based in different populations, what leads to different cut-offs. Pediatric obesity tracks into adulthood and is associated with increased cardiovasc...
Autores principales: | , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4427917/ https://www.ncbi.nlm.nih.gov/pubmed/25969698 http://dx.doi.org/10.1186/s13098-015-0022-7 |
_version_ | 1782370799678652416 |
---|---|
author | Nascimento, Henrique Catarino, Cristina Mendonça, Denisa Oliveira, Pedro Alves, Ana Inês Medeiros, Ana Filipa Pereira, Petronila Rocha Rêgo, Carla Mansilha, Helena Ferreira Aires, Luísa Mota, Jorge Quintanilha, Alexandre Santos-Silva, Alice Belo, Luís |
author_facet | Nascimento, Henrique Catarino, Cristina Mendonça, Denisa Oliveira, Pedro Alves, Ana Inês Medeiros, Ana Filipa Pereira, Petronila Rocha Rêgo, Carla Mansilha, Helena Ferreira Aires, Luísa Mota, Jorge Quintanilha, Alexandre Santos-Silva, Alice Belo, Luís |
author_sort | Nascimento, Henrique |
collection | PubMed |
description | BACKGROUND: Growth-curves are an important tool for evaluating the anthropometric development in pediatrics. The different growth-curves available are based in different populations, what leads to different cut-offs. Pediatric obesity tracks into adulthood and is associated with increased cardiovascular risk. The accurate assessment of a child nutritional status using growth-curves can indicate individuals that are either obese or in risk of becoming obese, allowing an early intervention. Moreover, the association between the data obtained from growth-curves with specific metabolic risk factors further highlights the importance of these charts. This study aimed to evaluate the associations between body mass index z-score (BMIzsc), determined using the growth-curves from the Centre for Disease Control and Prevention (CDC) and from the World Health Organization (WHO), with cardiovascular risk factors, represented here by metabolic syndrome (MS) and insulin resistance (IR) related parameters. The study involved 246 obese adolescents (10–18 years, 122 females). MS was defined according to the International Diabetes Federation. IR was considered for HOMA-IR greater than 2.5. FINDINGS: No difference between both BMIzsc in identifying MS was noticeable by a ROC analysis. For both indexes the area-under-the-curve increased for older groups, particularly for males. CDC-BMIzsc was the best predictor of MS by logistic regression when all population was considered, however MS was better predicted by WHO-BMIzsc for females and by CDC-BMIzsc for males. Younger girls and older boys were in increased risk for MS. Similar results were obtained for IR. CONCLUSIONS: A significant difference between the two BMIzsc regarding their association with MS and IR was not clear, being these associations weaker in younger individuals. |
format | Online Article Text |
id | pubmed-4427917 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-44279172015-05-13 Comparison between CDC and WHO BMI z-score and their relation with metabolic risk markers in Northern Portuguese obese adolescents Nascimento, Henrique Catarino, Cristina Mendonça, Denisa Oliveira, Pedro Alves, Ana Inês Medeiros, Ana Filipa Pereira, Petronila Rocha Rêgo, Carla Mansilha, Helena Ferreira Aires, Luísa Mota, Jorge Quintanilha, Alexandre Santos-Silva, Alice Belo, Luís Diabetol Metab Syndr Short Report BACKGROUND: Growth-curves are an important tool for evaluating the anthropometric development in pediatrics. The different growth-curves available are based in different populations, what leads to different cut-offs. Pediatric obesity tracks into adulthood and is associated with increased cardiovascular risk. The accurate assessment of a child nutritional status using growth-curves can indicate individuals that are either obese or in risk of becoming obese, allowing an early intervention. Moreover, the association between the data obtained from growth-curves with specific metabolic risk factors further highlights the importance of these charts. This study aimed to evaluate the associations between body mass index z-score (BMIzsc), determined using the growth-curves from the Centre for Disease Control and Prevention (CDC) and from the World Health Organization (WHO), with cardiovascular risk factors, represented here by metabolic syndrome (MS) and insulin resistance (IR) related parameters. The study involved 246 obese adolescents (10–18 years, 122 females). MS was defined according to the International Diabetes Federation. IR was considered for HOMA-IR greater than 2.5. FINDINGS: No difference between both BMIzsc in identifying MS was noticeable by a ROC analysis. For both indexes the area-under-the-curve increased for older groups, particularly for males. CDC-BMIzsc was the best predictor of MS by logistic regression when all population was considered, however MS was better predicted by WHO-BMIzsc for females and by CDC-BMIzsc for males. Younger girls and older boys were in increased risk for MS. Similar results were obtained for IR. CONCLUSIONS: A significant difference between the two BMIzsc regarding their association with MS and IR was not clear, being these associations weaker in younger individuals. BioMed Central 2015-04-08 /pmc/articles/PMC4427917/ /pubmed/25969698 http://dx.doi.org/10.1186/s13098-015-0022-7 Text en © Nascimento et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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 | Short Report Nascimento, Henrique Catarino, Cristina Mendonça, Denisa Oliveira, Pedro Alves, Ana Inês Medeiros, Ana Filipa Pereira, Petronila Rocha Rêgo, Carla Mansilha, Helena Ferreira Aires, Luísa Mota, Jorge Quintanilha, Alexandre Santos-Silva, Alice Belo, Luís Comparison between CDC and WHO BMI z-score and their relation with metabolic risk markers in Northern Portuguese obese adolescents |
title | Comparison between CDC and WHO BMI z-score and their relation with metabolic risk markers in Northern Portuguese obese adolescents |
title_full | Comparison between CDC and WHO BMI z-score and their relation with metabolic risk markers in Northern Portuguese obese adolescents |
title_fullStr | Comparison between CDC and WHO BMI z-score and their relation with metabolic risk markers in Northern Portuguese obese adolescents |
title_full_unstemmed | Comparison between CDC and WHO BMI z-score and their relation with metabolic risk markers in Northern Portuguese obese adolescents |
title_short | Comparison between CDC and WHO BMI z-score and their relation with metabolic risk markers in Northern Portuguese obese adolescents |
title_sort | comparison between cdc and who bmi z-score and their relation with metabolic risk markers in northern portuguese obese adolescents |
topic | Short Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4427917/ https://www.ncbi.nlm.nih.gov/pubmed/25969698 http://dx.doi.org/10.1186/s13098-015-0022-7 |
work_keys_str_mv | AT nascimentohenrique comparisonbetweencdcandwhobmizscoreandtheirrelationwithmetabolicriskmarkersinnorthernportugueseobeseadolescents AT catarinocristina comparisonbetweencdcandwhobmizscoreandtheirrelationwithmetabolicriskmarkersinnorthernportugueseobeseadolescents AT mendoncadenisa comparisonbetweencdcandwhobmizscoreandtheirrelationwithmetabolicriskmarkersinnorthernportugueseobeseadolescents AT oliveirapedro comparisonbetweencdcandwhobmizscoreandtheirrelationwithmetabolicriskmarkersinnorthernportugueseobeseadolescents AT alvesanaines comparisonbetweencdcandwhobmizscoreandtheirrelationwithmetabolicriskmarkersinnorthernportugueseobeseadolescents AT medeirosanafilipa comparisonbetweencdcandwhobmizscoreandtheirrelationwithmetabolicriskmarkersinnorthernportugueseobeseadolescents AT pereirapetronilarocha comparisonbetweencdcandwhobmizscoreandtheirrelationwithmetabolicriskmarkersinnorthernportugueseobeseadolescents AT regocarla comparisonbetweencdcandwhobmizscoreandtheirrelationwithmetabolicriskmarkersinnorthernportugueseobeseadolescents AT mansilhahelenaferreira comparisonbetweencdcandwhobmizscoreandtheirrelationwithmetabolicriskmarkersinnorthernportugueseobeseadolescents AT airesluisa comparisonbetweencdcandwhobmizscoreandtheirrelationwithmetabolicriskmarkersinnorthernportugueseobeseadolescents AT motajorge comparisonbetweencdcandwhobmizscoreandtheirrelationwithmetabolicriskmarkersinnorthernportugueseobeseadolescents AT quintanilhaalexandre comparisonbetweencdcandwhobmizscoreandtheirrelationwithmetabolicriskmarkersinnorthernportugueseobeseadolescents AT santossilvaalice comparisonbetweencdcandwhobmizscoreandtheirrelationwithmetabolicriskmarkersinnorthernportugueseobeseadolescents AT beloluis comparisonbetweencdcandwhobmizscoreandtheirrelationwithmetabolicriskmarkersinnorthernportugueseobeseadolescents |