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Agreement in cardiovascular risk rating based on anthropometric parameters

OBJECTIVE: To investigate the agreement in evaluation of risk of developing cardiovascular diseases based on anthropometric parameters in young adults. METHODS: The study included 406 students, measuring weight, height, and waist and neck circumferences. Waist-to-height ratio and the conicity index....

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Autores principales: Dantas, Endilly Maria da Silva, Pinto, Cristiane Jordânia, Freitas, Rodrigo Pegado de Abreu, de Medeiros, Anna Cecília Queiroz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Instituto de Ensino e Pesquisa Albert Einstein 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4943782/
https://www.ncbi.nlm.nih.gov/pubmed/26466060
http://dx.doi.org/10.1590/S1679-45082015AO3349
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author Dantas, Endilly Maria da Silva
Pinto, Cristiane Jordânia
Freitas, Rodrigo Pegado de Abreu
de Medeiros, Anna Cecília Queiroz
author_facet Dantas, Endilly Maria da Silva
Pinto, Cristiane Jordânia
Freitas, Rodrigo Pegado de Abreu
de Medeiros, Anna Cecília Queiroz
author_sort Dantas, Endilly Maria da Silva
collection PubMed
description OBJECTIVE: To investigate the agreement in evaluation of risk of developing cardiovascular diseases based on anthropometric parameters in young adults. METHODS: The study included 406 students, measuring weight, height, and waist and neck circumferences. Waist-to-height ratio and the conicity index. The kappa coefficient was used to assess agreement in risk classification for cardiovascular diseases. The positive and negative specific agreement values were calculated as well. The Pearson chi-square (χ(2)) test was used to assess associations between categorical variables (p<0.05). RESULTS: The majority of the parameters assessed (44%) showed slight (k=0.21 to 0.40) and/or poor agreement (k<0.20), with low values of negative specific agreement. The best agreement was observed between waist circumference and waist-to-height ratio both for the general population (k=0.88) and between sexes (k=0.93 to 0.86). There was a significant association (p<0.001) between the risk of cardiovascular diseases and females when using waist circumference and conicity index, and with males when using neck circumference. This resulted in a wide variation in the prevalence of cardiovascular disease risk (5.5%-36.5%), depending on the parameter and the sex that was assessed. CONCLUSION: The results indicate variability in agreement in assessing risk for cardiovascular diseases, based on anthropometric parameters, and which also seems to be influenced by sex. Further studies in the Brazilian population are required to better understand this issue.
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spelling pubmed-49437822016-08-10 Agreement in cardiovascular risk rating based on anthropometric parameters Dantas, Endilly Maria da Silva Pinto, Cristiane Jordânia Freitas, Rodrigo Pegado de Abreu de Medeiros, Anna Cecília Queiroz Einstein (Sao Paulo) Original Article OBJECTIVE: To investigate the agreement in evaluation of risk of developing cardiovascular diseases based on anthropometric parameters in young adults. METHODS: The study included 406 students, measuring weight, height, and waist and neck circumferences. Waist-to-height ratio and the conicity index. The kappa coefficient was used to assess agreement in risk classification for cardiovascular diseases. The positive and negative specific agreement values were calculated as well. The Pearson chi-square (χ(2)) test was used to assess associations between categorical variables (p<0.05). RESULTS: The majority of the parameters assessed (44%) showed slight (k=0.21 to 0.40) and/or poor agreement (k<0.20), with low values of negative specific agreement. The best agreement was observed between waist circumference and waist-to-height ratio both for the general population (k=0.88) and between sexes (k=0.93 to 0.86). There was a significant association (p<0.001) between the risk of cardiovascular diseases and females when using waist circumference and conicity index, and with males when using neck circumference. This resulted in a wide variation in the prevalence of cardiovascular disease risk (5.5%-36.5%), depending on the parameter and the sex that was assessed. CONCLUSION: The results indicate variability in agreement in assessing risk for cardiovascular diseases, based on anthropometric parameters, and which also seems to be influenced by sex. Further studies in the Brazilian population are required to better understand this issue. Instituto de Ensino e Pesquisa Albert Einstein 2015 /pmc/articles/PMC4943782/ /pubmed/26466060 http://dx.doi.org/10.1590/S1679-45082015AO3349 Text en 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 work is properly cited.
spellingShingle Original Article
Dantas, Endilly Maria da Silva
Pinto, Cristiane Jordânia
Freitas, Rodrigo Pegado de Abreu
de Medeiros, Anna Cecília Queiroz
Agreement in cardiovascular risk rating based on anthropometric parameters
title Agreement in cardiovascular risk rating based on anthropometric parameters
title_full Agreement in cardiovascular risk rating based on anthropometric parameters
title_fullStr Agreement in cardiovascular risk rating based on anthropometric parameters
title_full_unstemmed Agreement in cardiovascular risk rating based on anthropometric parameters
title_short Agreement in cardiovascular risk rating based on anthropometric parameters
title_sort agreement in cardiovascular risk rating based on anthropometric parameters
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4943782/
https://www.ncbi.nlm.nih.gov/pubmed/26466060
http://dx.doi.org/10.1590/S1679-45082015AO3349
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