Shen Tonghui, Wen Xu
Department of Sports Science, College of Education, Zhejiang University, PR China.
J Exerc Sci Fit. 2019 Jul;17(3):108-112. doi: 10.1016/j.jesf.2019.06.002. Epub 2019 Jun 26.
Velocity lactate threshold (VLT) is commonly used as a standard for exercise intensity, although previous studies of VLT have focused mostly on well-trained athletes. Heart rate (HR) is an important physiological index which is easy to measure, the heart rate-workload relationship curve is the reported coincidence with lactate threshold (LT). This study aimed to develop valid, simple and economical velocity at lactate threshold prediction methods for general Chinese adults.
Eighty-four Chinese adults (49 males and 35 females aged 27.1 ± 8.3 years) were recruited to perform a graded exercise test on a treadmill. A 20-s rest time for the blood sample collection was set between each 3-min successive stage. Blood lactate concentration and heart rate (HR) were determined using a blood lactate analyser and HR monitors. Multiple linear regressions were applied to develop VLT prediction models using velocity at different HR levels, genders, BMI and ages as dependent variables.
Eight VLT prediction models were established, in which 47%-65% of variance of VLT could be explained. The results of the paired t-tests showed no significant difference can be observed between estimated and measured VLTs.
In conclusion, simple and convenient VLT prediction models were established, and the models are valid in predicting VLT for general population.
速度乳酸阈值(VLT)通常用作运动强度的标准,尽管先前对VLT的研究主要集中在训练有素的运动员身上。心率(HR)是一个易于测量的重要生理指标,据报道心率-工作量关系曲线与乳酸阈值(LT)相符。本研究旨在为一般中国成年人开发有效、简单且经济的乳酸阈值速度预测方法。
招募了84名中国成年人(49名男性和35名女性,年龄27.1±8.3岁)在跑步机上进行分级运动测试。在每连续3分钟的阶段之间设置20秒的休息时间用于采集血样。使用血乳酸分析仪和心率监测器测定血乳酸浓度和心率(HR)。应用多元线性回归,以不同心率水平、性别、体重指数和年龄下的速度作为自变量来建立VLT预测模型。
建立了8个VLT预测模型,其中47%-65%的VLT方差可以得到解释。配对t检验结果表明,估计的VLT与测量的VLT之间没有显著差异。
总之,建立了简单便捷的VLT预测模型,这些模型在预测一般人群的VLT方面是有效的。