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

IF 1.3 4区 医学 Q4 PHYSIOLOGY Clinical Physiology and Functional Imaging Pub Date : 2022-11-21 DOI:10.1111/cpf.12800
Lars Lind, Karl Michaëlsson
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Abstract

Objective

Maximal oxygen consumption at an exercise test (VO2-max) is a commonly used marker of physical fitness. In the present study, we aimed to find independent clinical predictors of VO2-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 (VO2 and VCO2).

Results

When VO2-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 VO2-max. Current smoking and pulse wave velocity (PWV) were the two major determinants of VO2-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 VO2-max in middle-aged individuals. Of those variables, smoking and PWV were the most important.

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多种静息心血管参数与体能关系的详细研究
目的运动测试最大耗氧量(VO2max)是一种常用的身体素质指标。在本研究中,我们旨在通过对静息时收集的心脏、呼吸和血管变量进行多次测量,找到VO2 max的独立临床预测因素。方法在肥胖、能量和代谢前瞻性研究(POEM)中,对420名50岁的受试者进行了内皮功能、动脉顺应性、心率变异性、动脉血流量和动脉粥样硬化、左心室结构和功能、肺功能、多种血压测量、生活习惯、,身体成分,以及具有气体交换(VO2和VCO2)的最大自行车运动测试。结果在单独的性别调整模型中,当VO2 max(瘦体重指数)作为因变量,84个血液动力学或代谢变量作为自变量时,15个变量与p <; 0.00064(Bonferroni调整)。八个自变量解释了VO2-max中21%的方差。当前吸烟和脉搏波速度(PWV)是VO2最大值的两个主要决定因素(分别解释7%和3%的方差;p <; 0.0001和p = 分别为0.008)。依次为肺活量、脂肪量、脉压和高密度脂蛋白胆固醇。除肺活量和高密度脂蛋白外,所有这些变量的关系都是相反的。结论休息时测量的几个代谢、心脏、呼吸和血管变量与吸烟一起解释了中年人VO2 max变化的21%。在这些变量中,吸烟和PWV是最重要的。
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来源期刊
CiteScore
3.40
自引率
5.60%
发文量
62
审稿时长
6-12 weeks
期刊介绍: Clinical Physiology and Functional Imaging publishes reports on clinical and experimental research pertinent to human physiology in health and disease. The scope of the Journal is very broad, covering all aspects of the regulatory system in the cardiovascular, renal and pulmonary systems with special emphasis on methodological aspects. The focus for the journal is, however, work that has potential clinical relevance. The Journal also features review articles on recent front-line research within these fields of interest. Covered by the major abstracting services including Current Contents and Science Citation Index, Clinical Physiology and Functional Imaging plays an important role in providing effective and productive communication among clinical physiologists world-wide.
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