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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....
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Instituto de Ensino e Pesquisa Albert Einstein
2015
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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. |
format | Online Article Text |
id | pubmed-4943782 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Instituto de Ensino e Pesquisa Albert Einstein |
record_format | MEDLINE/PubMed |
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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