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ANTHROPOMETRY AND CLUSTERED CARDIOMETABOLIC RISK FACTORS IN YOUNG PEOPLE: A SYSTEMATIC REVIEW
OBJECTIVE: To conduct a systematic review of the literature on the ability of anthropometric indicators to predict clustered cardiometabolic risk factors (CMRF) in children and adolescents. DATA SOURCE: Studies published from June 1(st), 2011 to May 31(st), 2016 in the PubMed, SciELO and LILACS data...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Sociedade de Pediatria de São Paulo
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5606181/ https://www.ncbi.nlm.nih.gov/pubmed/28977298 http://dx.doi.org/10.1590/1984-0462/;2017;35;3;00013 |
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author | de Quadros, Teresa Maria Bianchini Gordia, Alex Pinheiro Silva, Luciana Rodrigues |
author_facet | de Quadros, Teresa Maria Bianchini Gordia, Alex Pinheiro Silva, Luciana Rodrigues |
author_sort | de Quadros, Teresa Maria Bianchini |
collection | PubMed |
description | OBJECTIVE: To conduct a systematic review of the literature on the ability of anthropometric indicators to predict clustered cardiometabolic risk factors (CMRF) in children and adolescents. DATA SOURCE: Studies published from June 1(st), 2011 to May 31(st), 2016 in the PubMed, SciELO and LILACS databases were analyzed. The research was based on keywords derived from the terms “anthropometric indicators” AND “cardiometabolic risk factors”. Observational studies on the ability of anthropometric indicators as predictors of clustered CMRF in children and adolescents in Portuguese, English and Spanish languages were included. Studies with a specific group of obese patients or with other diseases were not included. DATA SYNTHESIS: Of the 2,755 articles retrieved, 31 were selected for systematic review. Twenty-eight studies analyzed body mass index (BMI) as a predictor of clustered CMRF. Only 3 of the 25 cross-sectional studies found no association between anthropometric indicators and clustered CMRF. The results of six studies that compared the predictive ability of different anthropometric measures for clustered CMRF were divergent, and it was not possible to define a single indicator as the best predictor of clustered CMRF. Only six articles were cohort studies, and the findings suggested that changes in adiposity during childhood predict alterations in the clustered CMRF in adolescence. CONCLUSIONS: BMI, waist circumference and waist-to-height ratio were predictors of clustered CMRF in childhood and adolescence and exhibited a similar predictive ability for these outcomes. These findings suggest anthropometric indicators as an interesting screening tool of clustered CMRF at early ages. |
format | Online Article Text |
id | pubmed-5606181 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Sociedade de Pediatria de São Paulo |
record_format | MEDLINE/PubMed |
spelling | pubmed-56061812017-09-28 ANTHROPOMETRY AND CLUSTERED CARDIOMETABOLIC RISK FACTORS IN YOUNG PEOPLE: A SYSTEMATIC REVIEW de Quadros, Teresa Maria Bianchini Gordia, Alex Pinheiro Silva, Luciana Rodrigues Rev Paul Pediatr Review Articles OBJECTIVE: To conduct a systematic review of the literature on the ability of anthropometric indicators to predict clustered cardiometabolic risk factors (CMRF) in children and adolescents. DATA SOURCE: Studies published from June 1(st), 2011 to May 31(st), 2016 in the PubMed, SciELO and LILACS databases were analyzed. The research was based on keywords derived from the terms “anthropometric indicators” AND “cardiometabolic risk factors”. Observational studies on the ability of anthropometric indicators as predictors of clustered CMRF in children and adolescents in Portuguese, English and Spanish languages were included. Studies with a specific group of obese patients or with other diseases were not included. DATA SYNTHESIS: Of the 2,755 articles retrieved, 31 were selected for systematic review. Twenty-eight studies analyzed body mass index (BMI) as a predictor of clustered CMRF. Only 3 of the 25 cross-sectional studies found no association between anthropometric indicators and clustered CMRF. The results of six studies that compared the predictive ability of different anthropometric measures for clustered CMRF were divergent, and it was not possible to define a single indicator as the best predictor of clustered CMRF. Only six articles were cohort studies, and the findings suggested that changes in adiposity during childhood predict alterations in the clustered CMRF in adolescence. CONCLUSIONS: BMI, waist circumference and waist-to-height ratio were predictors of clustered CMRF in childhood and adolescence and exhibited a similar predictive ability for these outcomes. These findings suggest anthropometric indicators as an interesting screening tool of clustered CMRF at early ages. Sociedade de Pediatria de São Paulo 2017-07-31 2017 /pmc/articles/PMC5606181/ /pubmed/28977298 http://dx.doi.org/10.1590/1984-0462/;2017;35;3;00013 Text en http://creativecommons.org/licenses/by/4.0/ Este é um artigo publicado em acesso aberto sob uma licença Creative Commons |
spellingShingle | Review Articles de Quadros, Teresa Maria Bianchini Gordia, Alex Pinheiro Silva, Luciana Rodrigues ANTHROPOMETRY AND CLUSTERED CARDIOMETABOLIC RISK FACTORS IN YOUNG PEOPLE: A SYSTEMATIC REVIEW |
title | ANTHROPOMETRY AND CLUSTERED CARDIOMETABOLIC RISK FACTORS IN YOUNG PEOPLE:
A SYSTEMATIC REVIEW |
title_full | ANTHROPOMETRY AND CLUSTERED CARDIOMETABOLIC RISK FACTORS IN YOUNG PEOPLE:
A SYSTEMATIC REVIEW |
title_fullStr | ANTHROPOMETRY AND CLUSTERED CARDIOMETABOLIC RISK FACTORS IN YOUNG PEOPLE:
A SYSTEMATIC REVIEW |
title_full_unstemmed | ANTHROPOMETRY AND CLUSTERED CARDIOMETABOLIC RISK FACTORS IN YOUNG PEOPLE:
A SYSTEMATIC REVIEW |
title_short | ANTHROPOMETRY AND CLUSTERED CARDIOMETABOLIC RISK FACTORS IN YOUNG PEOPLE:
A SYSTEMATIC REVIEW |
title_sort | anthropometry and clustered cardiometabolic risk factors in young people:
a systematic review |
topic | Review Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5606181/ https://www.ncbi.nlm.nih.gov/pubmed/28977298 http://dx.doi.org/10.1590/1984-0462/;2017;35;3;00013 |
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