{"title":"多种静息心血管参数与体能关系的详细研究","authors":"Lars Lind, Karl Michaëlsson","doi":"10.1111/cpf.12800","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Objective</h3>\n \n <p>Maximal oxygen consumption at an exercise test (VO<sub>2</sub>-max) is a commonly used marker of physical fitness. In the present study, we aimed to find independent clinical predictors of VO<sub>2</sub>-max by use of multiple measurements of cardiac, respiratory and vascular variables collected while resting.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>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<sub>2</sub> and VCO<sub>2</sub>).</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>When VO<sub>2</sub>-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 <i>p</i> < 0.00064 (Bonferroni-adjusted). Eight independent variables explained 21% of the variance in VO<sub>2</sub>-max. Current smoking and pulse wave velocity (PWV) were the two major determinants of VO<sub>2</sub>-max (explaining each 7% and 3% of the variance; <i>p</i> < 0.0001 and <i>p</i> = 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.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>Several metabolic, cardiac, respiratory and vascular variables measured at rest explained together with smoking 21% of the variation in VO<sub>2</sub>-max in middle-aged individuals. Of those variables, smoking and PWV were the most important.</p>\n </section>\n </div>","PeriodicalId":10504,"journal":{"name":"Clinical Physiology and Functional Imaging","volume":null,"pages":null},"PeriodicalIF":1.3000,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/cpf.12800","citationCount":"0","resultStr":"{\"title\":\"Detailed investigation of multiple resting cardiovascular parameters in relation to physical fitness\",\"authors\":\"Lars Lind, Karl Michaëlsson\",\"doi\":\"10.1111/cpf.12800\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Objective</h3>\\n \\n <p>Maximal oxygen consumption at an exercise test (VO<sub>2</sub>-max) is a commonly used marker of physical fitness. In the present study, we aimed to find independent clinical predictors of VO<sub>2</sub>-max by use of multiple measurements of cardiac, respiratory and vascular variables collected while resting.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>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<sub>2</sub> and VCO<sub>2</sub>).</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>When VO<sub>2</sub>-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 <i>p</i> < 0.00064 (Bonferroni-adjusted). Eight independent variables explained 21% of the variance in VO<sub>2</sub>-max. Current smoking and pulse wave velocity (PWV) were the two major determinants of VO<sub>2</sub>-max (explaining each 7% and 3% of the variance; <i>p</i> < 0.0001 and <i>p</i> = 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.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusion</h3>\\n \\n <p>Several metabolic, cardiac, respiratory and vascular variables measured at rest explained together with smoking 21% of the variation in VO<sub>2</sub>-max in middle-aged individuals. Of those variables, smoking and PWV were the most important.</p>\\n </section>\\n </div>\",\"PeriodicalId\":10504,\"journal\":{\"name\":\"Clinical Physiology and Functional Imaging\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2022-11-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1111/cpf.12800\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical Physiology and Functional Imaging\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/cpf.12800\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"PHYSIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Physiology and Functional Imaging","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/cpf.12800","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PHYSIOLOGY","Score":null,"Total":0}
Detailed investigation of multiple resting cardiovascular parameters in relation to physical fitness
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.
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.