Can phase angle from bioelectrical impedance analysis associate with neuromuscular properties of the knee extensors?

Can phase angle from bioelectrical impedance analysis associate with neuromuscular properties of the knee extensors?
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DOI:
10.3389/fphys.2022.965827
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发表时间:
2022
影响因子:
4
通讯作者:
--
中科院分区:
医学2区
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--
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维持和改善神经肌肉功能对每个人都至关重要,无论年龄大小。一种不需要肌肉收缩就能评估神经肌肉特性的简单方法对那些不能进行剧烈肌肉力量产生的人尤其有用,比如老年人和患有矫形或认知障碍的患者。生物电阻抗分析(BIA)可以评估身体的电学特性,例如相角(PhA),它被视为肌肉数量/质量指标。本研究的目的是调查55名年轻人(n = 23)和老年人(n = 32)的PhA与膝关节伸肌神经肌肉特性的关系。用BIA测定50 kHz时右大腿及全身的PhA值。在0-200 ms的时间间隔内,参与者进行4 s最大自主等距收缩(MVIC)来测量峰值扭矩(PTMVIC), 1 s短暂MVIC来评估扭矩发展速率(RTD)。作为肌肉力量产生的生理机制的标志,通过股神经电刺激获得的膝伸肌的抽搐收缩特性(峰值抽搐扭矩、抽搐扭矩发展速率和达到峰值抽搐扭矩的时间),以及在PTMVIC和RTD测量期间以肌电活动(EMG-RMS)的均方根值评估的肌肉活动。大腿和全身PhA与PTMVIC (r≥0.555,p < 0.001)和电诱发抽搐参数(抽搐峰值扭矩、抽搐扭矩发展速率和抽搐峰值时间;|r|≥0.420,p≤0.001)显著相关,但与RTD (r≤0.237,p≥0.081)或肌电- rmss (|r|≤0.214,p≥0.117)无关。逐步多元线性回归分析显示,大腿PhA可作为预测PTMVIC的显著变量,但不能预测RTD。没有选择全身PhA作为预测PTMVIC或RTD的重要变量。总之,大腿和全身PhA都与膝关节伸肌的最大随意肌力量有关,这种联系可能是由于固有的收缩特性,而不是神经方面。关于膝关节伸肌力量的预测,大腿PhA比全身PhA更适合作为预测因素,而全身PhA被广泛用作肌肉减少症的指标。
Maintenance and improvement of neuromuscular functions is crucial for everyone regardless of age. An easy way to assess neuromuscular properties without muscle contraction is useful especially for those who cannot perform strenuous muscular force production, such as older adults and patients with orthopedic or cognitive disorders. Bioelectrical impedance analysis (BIA) can assess body electrical properties e.g., phase angle (PhA) which is regarded as muscle quantity/quality index. The purpose of this study was to investigate associations of PhA with neuromuscular properties of the knee extensors in 55 young (n = 23) and older (n = 32) adults. The values of PhA of the right thigh and whole-body were determined with BIA at 50 kHz. The participants performed 4-s maximal voluntary isometric contraction (MVIC) to measure peak torque (PTMVIC), and 1-s brief MVIC to assess rate of torque development (RTD) over the time interval of 0–200 ms. As markers of physiological mechanisms of muscle force production, twitch contractile properties (peak twitch torque, rate of twitch torque development, and time-to-peak twitch torque) of the knee extensors obtained by femoral nerve electrical stimulation, and muscle activity assessed as root mean square values of electromyographic activity (EMG-RMS) during PTMVIC and RTD measurements were measured. Thigh and whole-body PhA significantly correlated with PTMVIC (r ≥ 0.555, p < 0.001) and electrically evoked twitch parameters (peak twitch torque, rate of twitch torque development, and time-to-peak twitch torque; |r| ≥ 0.420, p ≤ 0.001), but not RTD (r ≤ 0.237, p ≥ 0.081) or EMG-RMSs (|r| ≤ 0.214, p ≥ 0.117). Stepwise multiple linear regression analysis revealed that thigh PhA was selected as a significant variable to predict PTMVIC but not RTD. Whole-body PhA was not selected as a significant variable to predict PTMVIC or RTD. In conclusion, both thigh and whole-body PhA can associate with maximal voluntary muscle strength of the knee extensors, and this association may be due to intrinsic contractile properties but not neural aspects. Regarding prediction of the knee extensor strength, thigh PhA is preferable as the predictor rather than whole-body PhA which is used as a widely acknowledged indicator of sarcopenia.
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