Neuromuscular Plasticity Laboratory, Institute of Exercise Physiology and Rehabilitation Science, University of Central Florida, Orlando, FL, USA; School of Kinesiology and Physical Therapy, University of Central Florida, Orlando, FL, USA.
Miller School of Medicine, University of Miami, Miami, FL, USA.
Exp Gerontol. 2020 Oct 1;139:111047. doi: 10.1016/j.exger.2020.111047. Epub 2020 Aug 8.
Echo intensity (EI) is being increasingly utilized by investigators as an index of skeletal muscle quality. Previous studies have reported independent associations between EI versus both age and muscle strength.
We sought to determine whether EI is more strongly associated with age or strength.
Twenty-eight younger adults (13 men, 15 women; mean age = 22 years) and 25 older adults (10 men, 15 women; age = 71 years) participated. B-mode ultrasonography was utilized to acquire images of the vastus lateralis and rectus femoris. ImageJ software was used to quantify corrected EI and muscle cross-sectional area (CSA). Each participant performed 40 maximal concentric isokinetic muscle actions of the knee extensors (velocity = 180°·s). The mean peak torque of the best three attempts was used to quantify muscle strength. Specific torque was calculated as strength relative to CSA. Fatigability was also quantified. Statistical analyses included independent samples t-tests and stepwise regression.
There were large differences between age groups for strength (p < .001, d = 1.831) and CSA (p = .003, d = 0.872). When corrected for subcutaneous tissue thickness, the difference in EI between age groups was small (p = .184, d = 0.371). Stepwise regression revealed that muscle strength was the single best predictor of EI (R = 0.206), with age, CSA, specific torque, and fatigability explaining no unique variance.
Concentric isokinetic muscle strength is a better predictor of EI than age.
回声强度(EI)越来越被研究人员用作骨骼肌肉质量的指标。先前的研究报告称,EI 与年龄和肌肉力量之间存在独立关联。
我们试图确定 EI 与年龄还是力量的相关性更强。
28 名年轻成年人(13 名男性,15 名女性;平均年龄 22 岁)和 25 名老年成年人(10 名男性,15 名女性;年龄 71 岁)参与了研究。使用 B 模式超声成像技术获取股外侧肌和股直肌的图像。ImageJ 软件用于量化校正后的 EI 和肌肉横截面积(CSA)。每位参与者进行 40 次最大的膝关节伸肌等速向心肌肉动作(速度=180°·s)。使用最佳三次尝试的平均峰值扭矩来量化肌肉力量。比肌力相对 CSA 计算特定扭矩。还量化了疲劳性。统计分析包括独立样本 t 检验和逐步回归。
在力量(p <.001,d=1.831)和 CSA(p=.003,d=0.872)方面,年龄组之间存在很大差异。当校正皮下组织厚度时,年龄组之间 EI 的差异很小(p=.184,d=0.371)。逐步回归显示肌肉力量是 EI 的最佳单一预测指标(R=0.206),而年龄、CSA、比肌力和疲劳性无法解释独特的方差。
向心等速肌肉力量比年龄更能预测 EI。