Ultrasound Derived Measurements Ability to Predict Max Aerobic Performance

E. Sobolewski, Kaitlyn M. Carpenter, Gabby Rodriguez, Andrew B. Hall, Morgan O. Richard
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Abstract

2 Abstract 1 The purpose of this study was to determine the relationship between EI, CSA, and 2 aerobic performance, and to develop a model to predict aerobic performance. Twenty aerobically 3 trained participants had a panoramic ultrasound taken of their rectus femoris and vastus lateralis 4 muscles on their right leg before performing a maximal aerobic cycling test. Ultrasound derived 5 echo intensity and cross-sectional area were compared to peak oxygen consumption (VO 2 ) and 6 maximal power output. Pearson’s product coefficients were used to determine the relationship 7 between ultrasound measurements and aerobic performance values, while a multiple regression 8 model was used to determine what indicators predict in maximal VO 2 and max watt output. 9 Results indicated a significant negative relationship between echo intensity (p<0.05) for max 10 power and VO 2 and a positive relationship with cross-sectional area (p<0.05) for max power and 11 VO 2 . Stepwise regression revealed that muscle echo intensity, cross-sectional area, and sex were 12 good predictors of both max Power and VO 2 . These findings demonstrate that higher quality 13 muscle values (lower echo intensity) and larger muscle size have a higher aerobic performance 14 output than smaller lower quality muscle. 15 16 23
超声衍生测量预测最大有氧运动性能的能力
摘要本研究的目的是确定EI、CSA和有氧运动表现之间的关系,并建立一个预测有氧运动表现的模型。20名有氧训练的参与者在进行最大有氧循环测试之前,对他们的右腿股直肌和股外侧肌进行了全景超声检查。超声回波强度和截面积与峰值耗氧量(vo2)和最大输出功率进行比较。皮尔逊乘积系数用于确定超声测量值与有氧性能值之间的关系,而多元回归模型用于确定哪些指标可以预测最大VO 2和最大瓦特输出。结果显示,最大10功率的回声强度与VO 2呈显著负相关(p<0.05),而最大功率和VO 2的回声强度与横截面积呈正相关(p<0.05)。逐步回归显示,肌肉回声强度、横截面积和性别是最大功率和VO 2的12个良好预测因子。这些发现表明,高质量肌肉值(低回声强度)和大肌肉尺寸比低质量肌肉具有更高的有氧性能输出。15 16 23
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