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Body Composition Indices and Cardiovascular Risk in Type 2 Diabetes. CV Biomarkers are not Related to Body Composition
BACKGROUND: This study aims to explore the correlations of body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR), waist-to-hip ratio (WHR) and body composition with levels of asymmetric dimethylarginine (ADMA), endothelin 1(ET-1), N-terminal brain natriuretic pro-peptide (NT-...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
De Gruyter
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7175638/ https://www.ncbi.nlm.nih.gov/pubmed/32337369 http://dx.doi.org/10.1515/med-2020-0043 |
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author | Markova, Aleksandra Boyanov, Mihail Bakalov, Deniz Tsakova, Adelina |
author_facet | Markova, Aleksandra Boyanov, Mihail Bakalov, Deniz Tsakova, Adelina |
author_sort | Markova, Aleksandra |
collection | PubMed |
description | BACKGROUND: This study aims to explore the correlations of body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR), waist-to-hip ratio (WHR) and body composition with levels of asymmetric dimethylarginine (ADMA), endothelin 1(ET-1), N-terminal brain natriuretic pro-peptide (NT-proBNP) and calculated cardiovascular risks. METHODS: 102 women and 67 men with type 2 diabetes participated. Serum levels of NT-proBNP were measured by electro-hemi-luminescence while ELISA were used for ADMA and ET-1. Cardiovascular risks were calculated using the Framingham Risk Score (FRS), the UKPDS 2.0 and the ADVANCE risk engines. Statistical analysis was performed on an IBM SPSS 19.0. RESULTS: The BMI outperformed all other indices of obesity (WC, WHtR, WHR), as well as body composition parameters (body fat%, fat mass, fat free mass and total body water) in relation to the estimated risks for coronary heart disease and stroke, based on different calculators. The correlations of the obesity indices with the serum cardiovascular biomarkers were not significant except for BMI and fat mass versus ET-1, and for fat free mass and total body water versus ADMA. CONCLUSIONS: The WC, WHR, WHtR, BF%, FM and FFM apparently do not add significant information related to the levels of cardiovascular biomarkers or the calculated CV-risks. |
format | Online Article Text |
id | pubmed-7175638 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | De Gruyter |
record_format | MEDLINE/PubMed |
spelling | pubmed-71756382020-04-25 Body Composition Indices and Cardiovascular Risk in Type 2 Diabetes. CV Biomarkers are not Related to Body Composition Markova, Aleksandra Boyanov, Mihail Bakalov, Deniz Tsakova, Adelina Open Med (Wars) Research Article BACKGROUND: This study aims to explore the correlations of body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR), waist-to-hip ratio (WHR) and body composition with levels of asymmetric dimethylarginine (ADMA), endothelin 1(ET-1), N-terminal brain natriuretic pro-peptide (NT-proBNP) and calculated cardiovascular risks. METHODS: 102 women and 67 men with type 2 diabetes participated. Serum levels of NT-proBNP were measured by electro-hemi-luminescence while ELISA were used for ADMA and ET-1. Cardiovascular risks were calculated using the Framingham Risk Score (FRS), the UKPDS 2.0 and the ADVANCE risk engines. Statistical analysis was performed on an IBM SPSS 19.0. RESULTS: The BMI outperformed all other indices of obesity (WC, WHtR, WHR), as well as body composition parameters (body fat%, fat mass, fat free mass and total body water) in relation to the estimated risks for coronary heart disease and stroke, based on different calculators. The correlations of the obesity indices with the serum cardiovascular biomarkers were not significant except for BMI and fat mass versus ET-1, and for fat free mass and total body water versus ADMA. CONCLUSIONS: The WC, WHR, WHtR, BF%, FM and FFM apparently do not add significant information related to the levels of cardiovascular biomarkers or the calculated CV-risks. De Gruyter 2020-04-17 /pmc/articles/PMC7175638/ /pubmed/32337369 http://dx.doi.org/10.1515/med-2020-0043 Text en © 2020 Aleksandra Markova et al., published by De Gruyter http://creativecommons.org/licenses/by/4.0 This work is licensed under the Creative Commons Attribution 4.0 Public License. |
spellingShingle | Research Article Markova, Aleksandra Boyanov, Mihail Bakalov, Deniz Tsakova, Adelina Body Composition Indices and Cardiovascular Risk in Type 2 Diabetes. CV Biomarkers are not Related to Body Composition |
title | Body Composition Indices and Cardiovascular Risk in Type 2 Diabetes. CV Biomarkers are not Related to Body Composition |
title_full | Body Composition Indices and Cardiovascular Risk in Type 2 Diabetes. CV Biomarkers are not Related to Body Composition |
title_fullStr | Body Composition Indices and Cardiovascular Risk in Type 2 Diabetes. CV Biomarkers are not Related to Body Composition |
title_full_unstemmed | Body Composition Indices and Cardiovascular Risk in Type 2 Diabetes. CV Biomarkers are not Related to Body Composition |
title_short | Body Composition Indices and Cardiovascular Risk in Type 2 Diabetes. CV Biomarkers are not Related to Body Composition |
title_sort | body composition indices and cardiovascular risk in type 2 diabetes. cv biomarkers are not related to body composition |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7175638/ https://www.ncbi.nlm.nih.gov/pubmed/32337369 http://dx.doi.org/10.1515/med-2020-0043 |
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