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Prediction of Cardiorespiratory Fitness in Czech Adults: Normative Values and Association with Cardiometabolic Health

Cardiorespiratory fitness (CRF) is a strong independent predictor of morbidity and mortality. However, there is no recent information about the impact of CRF on cardiometabolic risk specifically in Central and Eastern Europe, which are characterized by different biological and social determinants of...

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Autores principales: Maranhao Neto, Geraldo A., Pavlovska, Iuliia, Polcrova, Anna, Mechanick, Jeffrey I., Infante-Garcia, Maria M., Hernandez, Jose Pantaleón, Araujo, Miguel A., Nieto-Martinez, Ramfis, Gonzalez-Rivas, Juan P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8507681/
https://www.ncbi.nlm.nih.gov/pubmed/34639552
http://dx.doi.org/10.3390/ijerph181910251
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author Maranhao Neto, Geraldo A.
Pavlovska, Iuliia
Polcrova, Anna
Mechanick, Jeffrey I.
Infante-Garcia, Maria M.
Hernandez, Jose Pantaleón
Araujo, Miguel A.
Nieto-Martinez, Ramfis
Gonzalez-Rivas, Juan P.
author_facet Maranhao Neto, Geraldo A.
Pavlovska, Iuliia
Polcrova, Anna
Mechanick, Jeffrey I.
Infante-Garcia, Maria M.
Hernandez, Jose Pantaleón
Araujo, Miguel A.
Nieto-Martinez, Ramfis
Gonzalez-Rivas, Juan P.
author_sort Maranhao Neto, Geraldo A.
collection PubMed
description Cardiorespiratory fitness (CRF) is a strong independent predictor of morbidity and mortality. However, there is no recent information about the impact of CRF on cardiometabolic risk specifically in Central and Eastern Europe, which are characterized by different biological and social determinants of health. In this cross-sectional study normative CRF values were proposed and the association between CRF and cardiometabolic outcomes was evaluated in an adult Czechian population. In 2054 participants (54.6% females), median age 48 (IQR 19 years), the CRF was predicted from a non-exercise equation. Multivariable-adjusted logistic regressions were carried out to determine the associations. Higher CRF quartiles were associated with lower prevalence of hypertension, type 2 diabetes (T2D) and dyslipidemia. Comparing subjects within the lowest CRF, we see that those within the highest CRF had decreased chances of hypertension (odds ratio (OR) = 0.36; 95% CI: 0.22–0.60); T2D (OR = 0.16; 0.05–0.47), low HDL-c (OR = 0.32; 0.17–0.60), high low-density lipoprotein (OR = 0.33; 0.21–0.53), high triglycerides (OR = 0.13; 0.07–0.81), and high cholesterol (OR = 0.44; 0.29–0.69). There was an inverse association between CRF and cardiometabolic outcomes, supporting the adoption of a non-exercise method to estimate CRF of the Czech population. Therefore, more accurate cardiometabolic studies can be performed incorporating the valuable CRF metric.
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spelling pubmed-85076812021-10-13 Prediction of Cardiorespiratory Fitness in Czech Adults: Normative Values and Association with Cardiometabolic Health Maranhao Neto, Geraldo A. Pavlovska, Iuliia Polcrova, Anna Mechanick, Jeffrey I. Infante-Garcia, Maria M. Hernandez, Jose Pantaleón Araujo, Miguel A. Nieto-Martinez, Ramfis Gonzalez-Rivas, Juan P. Int J Environ Res Public Health Article Cardiorespiratory fitness (CRF) is a strong independent predictor of morbidity and mortality. However, there is no recent information about the impact of CRF on cardiometabolic risk specifically in Central and Eastern Europe, which are characterized by different biological and social determinants of health. In this cross-sectional study normative CRF values were proposed and the association between CRF and cardiometabolic outcomes was evaluated in an adult Czechian population. In 2054 participants (54.6% females), median age 48 (IQR 19 years), the CRF was predicted from a non-exercise equation. Multivariable-adjusted logistic regressions were carried out to determine the associations. Higher CRF quartiles were associated with lower prevalence of hypertension, type 2 diabetes (T2D) and dyslipidemia. Comparing subjects within the lowest CRF, we see that those within the highest CRF had decreased chances of hypertension (odds ratio (OR) = 0.36; 95% CI: 0.22–0.60); T2D (OR = 0.16; 0.05–0.47), low HDL-c (OR = 0.32; 0.17–0.60), high low-density lipoprotein (OR = 0.33; 0.21–0.53), high triglycerides (OR = 0.13; 0.07–0.81), and high cholesterol (OR = 0.44; 0.29–0.69). There was an inverse association between CRF and cardiometabolic outcomes, supporting the adoption of a non-exercise method to estimate CRF of the Czech population. Therefore, more accurate cardiometabolic studies can be performed incorporating the valuable CRF metric. MDPI 2021-09-29 /pmc/articles/PMC8507681/ /pubmed/34639552 http://dx.doi.org/10.3390/ijerph181910251 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Maranhao Neto, Geraldo A.
Pavlovska, Iuliia
Polcrova, Anna
Mechanick, Jeffrey I.
Infante-Garcia, Maria M.
Hernandez, Jose Pantaleón
Araujo, Miguel A.
Nieto-Martinez, Ramfis
Gonzalez-Rivas, Juan P.
Prediction of Cardiorespiratory Fitness in Czech Adults: Normative Values and Association with Cardiometabolic Health
title Prediction of Cardiorespiratory Fitness in Czech Adults: Normative Values and Association with Cardiometabolic Health
title_full Prediction of Cardiorespiratory Fitness in Czech Adults: Normative Values and Association with Cardiometabolic Health
title_fullStr Prediction of Cardiorespiratory Fitness in Czech Adults: Normative Values and Association with Cardiometabolic Health
title_full_unstemmed Prediction of Cardiorespiratory Fitness in Czech Adults: Normative Values and Association with Cardiometabolic Health
title_short Prediction of Cardiorespiratory Fitness in Czech Adults: Normative Values and Association with Cardiometabolic Health
title_sort prediction of cardiorespiratory fitness in czech adults: normative values and association with cardiometabolic health
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8507681/
https://www.ncbi.nlm.nih.gov/pubmed/34639552
http://dx.doi.org/10.3390/ijerph181910251
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