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Detailed investigation of multiple resting cardiovascular parameters in relation to physical fitness

OBJECTIVE: Maximal oxygen consumption at an exercise test (VO(2)‐max) is a commonly used marker of physical fitness. In the present study, we aimed to find independent clinical predictors of VO(2)‐max by use of multiple measurements of cardiac, respiratory and vascular variables collected while rest...

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Autores principales: Lind, Lars, Michaëlsson, Karl
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10108008/
https://www.ncbi.nlm.nih.gov/pubmed/36408896
http://dx.doi.org/10.1111/cpf.12800
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author Lind, Lars
Michaëlsson, Karl
author_facet Lind, Lars
Michaëlsson, Karl
author_sort Lind, Lars
collection PubMed
description OBJECTIVE: Maximal oxygen consumption at an exercise test (VO(2)‐max) is a commonly used marker of physical fitness. In the present study, we aimed to find independent clinical predictors of VO(2)‐max by use of multiple measurements of cardiac, respiratory and vascular variables collected while resting. METHODS: In the Prospective study of Obesity, Energy and Metabolism (POEM), 420 subjects aged 50 years were investigated regarding endothelial function, arterial compliance, heart rate variability, arterial blood flow and atherosclerosis, left ventricular structure and function, lung function, multiple blood pressure measurements, lifestyle habits, body composition and in addition a maximal bicycle exercise test with gas exchange (VO(2) and VCO(2)). RESULTS: When VO(2)‐max (indexed for lean mass) was used as the dependent variable and the 84 hemodynamic or metabolic variables were used as independent variables in separate sex‐adjusted models, 15 variables showed associations with p < 0.00064 (Bonferroni‐adjusted). Eight independent variables explained 21% of the variance in VO(2)‐max. Current smoking and pulse wave velocity (PWV) were the two major determinants of VO(2)‐max (explaining each 7% and 3% of the variance; p < 0.0001 and p = 0.008, respectively). They were in order followed by vital capacity, fat mass, pulse pressure, and high‐density lipoprotein (HDL)‐cholesterol. The relationships were inverse for all these variables, except for vital capacity and HDL. CONCLUSION: Several metabolic, cardiac, respiratory and vascular variables measured at rest explained together with smoking 21% of the variation in VO(2)‐max in middle‐aged individuals. Of those variables, smoking and PWV were the most important.
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spelling pubmed-101080082023-04-18 Detailed investigation of multiple resting cardiovascular parameters in relation to physical fitness Lind, Lars Michaëlsson, Karl Clin Physiol Funct Imaging Original Articles OBJECTIVE: Maximal oxygen consumption at an exercise test (VO(2)‐max) is a commonly used marker of physical fitness. In the present study, we aimed to find independent clinical predictors of VO(2)‐max by use of multiple measurements of cardiac, respiratory and vascular variables collected while resting. METHODS: In the Prospective study of Obesity, Energy and Metabolism (POEM), 420 subjects aged 50 years were investigated regarding endothelial function, arterial compliance, heart rate variability, arterial blood flow and atherosclerosis, left ventricular structure and function, lung function, multiple blood pressure measurements, lifestyle habits, body composition and in addition a maximal bicycle exercise test with gas exchange (VO(2) and VCO(2)). RESULTS: When VO(2)‐max (indexed for lean mass) was used as the dependent variable and the 84 hemodynamic or metabolic variables were used as independent variables in separate sex‐adjusted models, 15 variables showed associations with p < 0.00064 (Bonferroni‐adjusted). Eight independent variables explained 21% of the variance in VO(2)‐max. Current smoking and pulse wave velocity (PWV) were the two major determinants of VO(2)‐max (explaining each 7% and 3% of the variance; p < 0.0001 and p = 0.008, respectively). They were in order followed by vital capacity, fat mass, pulse pressure, and high‐density lipoprotein (HDL)‐cholesterol. The relationships were inverse for all these variables, except for vital capacity and HDL. CONCLUSION: Several metabolic, cardiac, respiratory and vascular variables measured at rest explained together with smoking 21% of the variation in VO(2)‐max in middle‐aged individuals. Of those variables, smoking and PWV were the most important. John Wiley and Sons Inc. 2022-12-01 2023-03 /pmc/articles/PMC10108008/ /pubmed/36408896 http://dx.doi.org/10.1111/cpf.12800 Text en © 2022 The Authors. Clinical Physiology and Functional Imaging published by John Wiley & Sons Ltd on behalf of Scandinavian Society of Clinical Physiology and Nuclear Medicine. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Lind, Lars
Michaëlsson, Karl
Detailed investigation of multiple resting cardiovascular parameters in relation to physical fitness
title Detailed investigation of multiple resting cardiovascular parameters in relation to physical fitness
title_full Detailed investigation of multiple resting cardiovascular parameters in relation to physical fitness
title_fullStr Detailed investigation of multiple resting cardiovascular parameters in relation to physical fitness
title_full_unstemmed Detailed investigation of multiple resting cardiovascular parameters in relation to physical fitness
title_short Detailed investigation of multiple resting cardiovascular parameters in relation to physical fitness
title_sort detailed investigation of multiple resting cardiovascular parameters in relation to physical fitness
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10108008/
https://www.ncbi.nlm.nih.gov/pubmed/36408896
http://dx.doi.org/10.1111/cpf.12800
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