Lin Chih-Wei, Huang Chun-Feng, Wang Jong-Shyan, Fu Li-Lan, Mao Tso-Yen
Department of Leisure Services Management, Chaoyang University of Technology, 168, Jifeng E. Rd., Wufeng District, 413, Taichung, Taiwan, R.O.C.
Department of Family Medicine, National Yang-Ming University Hospital, No.152, Xinmin Rd., Yilan City 260, Yilan County, Taiwan, R.O.C.
Saudi J Biol Sci. 2020 Jun;27(6):1637-1642. doi: 10.1016/j.sjbs.2020.03.005. Epub 2020 Mar 12.
Whether near-infrared spectroscopy (NIRS) is a convenient and accurate method of determining first and second ventilatory thresholds (VT and VT) using raw data remains unknown. This study investigated the reliability and validity of VT and VT determined by NIRS skeletal muscle hemodynamic raw data via a polynomial regression model. A total of 100 male students were recruited and performed maximal cycling exercises while their cardiopulmonary and NIRS muscle hemodynamic data were measured. The criterion validity of VT and VT were determined using a traditional V-slope and ventilatory efficiency. Statistical significance was set at α = . 05. There was high reproducibility of VT and VT determined by a NIRS polynomial regression model during exercise (VT, r = 0.94; VT, r = 0.93). There were high correlations of VT vs VT (r = 0.93, < .05) and VT vs VT (r = 0.94, < .05). The oxygen consumption (VO) between VT and VT or VT and VT was not significantly different. NIRS raw data are reliable and valid for determining VT and VT in healthy males using a polynomial regression model. Skeletal muscle raw oxygenation and deoxygenation status reflects more realistic causes and timing of VT and VT.
近红外光谱法（NIRS）是否是一种使用原始数据来确定第一和第二通气阈值（VT1和VT2）的便捷且准确的方法，目前尚不清楚。本研究通过多项式回归模型，调查了由NIRS骨骼肌血流动力学原始数据确定的VT1和VT2的可靠性和有效性。总共招募了100名男学生，让他们进行最大强度的骑行运动，同时测量他们的心肺和NIRS肌肉血流动力学数据。使用传统的V斜率和通气效率来确定VT1和VT2的标准效度。设定统计学显著性水平为α = 0.05。在运动期间，由NIRS多项式回归模型确定的VT1和VT2具有较高的重现性（VT1，r = 0.94；VT2，r = 0.93）。VT1与VT2之间（r = 0.93，P < 0.05）以及VT2与VT2之间（r = 0.94，P < 0.05）存在高度相关性。VT1与VT2之间或VT2与VT2之间的耗氧量（VO₂）无显著差异。对于使用多项式回归模型确定健康男性的VT1和VT2，NIRS原始数据是可靠且有效的。骨骼肌原始的氧合和脱氧状态反映了VT1和VT2更实际的成因和时机。
