Ramos Joyce S, Ramos Maximiano V, Dalleck Lance C, Borrani Fabio, Walker Kaitlyn B, Fassett Robert G, Sharman James E, Coombes Jeff S
1Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, AUSTRALIA; 2Institute of Biomedical Technologies, School of Engineering, Auckland University of Technology, Auckland, NEW ZEALAND; 3Recreation, Exercise, and Sport Science Department, Western State Colorado University, Gunnison, CO; 4The Institute of Sport Sciences University of Lausanne, University of Lausanne, Lausanne, SWITZERLAND; 5Department of Physiology, Faculty of Biology and Medicine, Lausanne University, Lausanne, SWITZERLAND; and 6Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, AUSTRALIA.
Med Sci Sports Exerc. 2016 Aug;48(8):1539-47. doi: 10.1249/MSS.0000000000000916.
Fit individuals with metabolic syndrome (MetS) have lower mortality risk compared with less fit counterparts, despite the presence of obesity as a component of the syndrome. To understand the importance of fitness in treating this condition, we examined the association of fitness and fatness with central hemodynamic indices that are known independent predictors of cardiovascular events.
Sixty-eight individuals with MetS participated in this cross-sectional study. Central hemodynamics is calculated from radial applanation tonometry and comprised aortic reservoir pressure, backward pressure wave (Pb), reflection magnitude (RM), and augmentation index at 75 bpm (AIx75). Cardiorespiratory fitness (CRF) and body fat percentage (BF%) were determined via indirect calorimetry during maximal exercise testing and dual-energy x-ray absorptiometry, respectively.
CRF was inversely associated with aortic reservoir pressure (r = -0.29, P = 0.02), Pb (r = -0.42, P < 0.001), RM (r = -0.48, P < 0.001), and AIx75 (r = -0.65, P < 0.001). BF% was also correlated with AIx75 (r = 0.37, P < 0.05) and RM (r = 0.36, P < 0.005) but at a weaker association compared with CRF. Multiple regression analysis revealed CRF as a predictor of aortic reservoir pressure (β = -0.52, P = <0.01), Pb (β = -0.41, P < 0.03), and AIx75 (β = -0.45, P = 0.01), independent of BF% and other confounding factors.
CRF predicts central hemodynamics independent of BF% and other confounding factors. This suggests that CRF improvement may be a higher priority when compared with fat loss for lowering the risk of cardiovascular mortality in MetS individuals.
患有代谢综合征（MetS）的健康个体与健康状况较差的个体相比，尽管肥胖是该综合征的一个组成部分，但其死亡风险较低。为了解健康状况在治疗这种疾病中的重要性，我们研究了健康状况和肥胖与已知的心血管事件独立预测指标——中心血流动力学指标之间的关联。
68名患有MetS的个体参与了这项横断面研究。中心血流动力学通过桡动脉压平式眼压测量法计算得出，包括主动脉储备压、反向压力波（Pb）、反射幅度（RM）和心率为75次/分钟时的增强指数（AIx75）。心肺适能（CRF）和体脂百分比（BF%）分别通过最大运动测试期间的间接量热法和双能X线吸收法测定。
CRF与主动脉储备压（r = -0.29，P = 0.02）、Pb（r = -0.42，P < 0.001）、RM（r = -0.48，P < 0.001）和AIx75（r = -0.65，P < 0.001）呈负相关。BF%也与AIx75（r = 0.37，P < 0.05）和RM（r = 0.36，P < 0.005）相关，但与CRF的关联较弱。多元回归分析显示，CRF是主动脉储备压（β = -0.52，P = <0.01）、Pb（β = -0.41，P < 0.03）和AIx75（β = -0.45，P = 0.01）的预测指标，独立于BF%和其他混杂因素。
CRF可独立于BF%和其他混杂因素预测中心血流动力学。这表明，与减脂相比，改善CRF可能是降低MetS个体心血管死亡风险的更高优先事项。
