Ham Joo-Ho, Park Hun-Young, Kim Youn-Ho, Bae Sang-Kon, Ko Byung-Hoon, Nam Sang-Seok
Department of Sports Medicine, Kyung Hee University, Yongin-si, Republic of Korea.
Samsung Advanced Institute of Technology, Suwon-si, Republic of Korea.
J Exerc Nutrition Biochem. 2017 Sep 30;21(3):43-49. doi: 10.20463/jenb.2017.0016.
The purpose of this study was to develop a regression model to estimate the heart rate at the lactate threshold (HRLT) and the heart rate at the ventilatory threshold (HRVT) using the heart rate threshold (HRT), and to test the validity of the regression model.
We performed a graded exercise test with a treadmill in 220 normal individuals (men: 112, women: 108) aged 20-59 years. HRT, HRLT, and HRVT were measured in all subjects. A regression model was developed to estimate HRLT and HRVT using HRT with 70% of the data (men: 79, women: 76) through randomization (7:3), with the Bernoulli trial. The validity of the regression model developed with the remaining 30% of the data (men: 33, women: 32) was also examined.
Based on the regression coefficient, we found that the independent variable HRT was a significant variable in all regression models. The adjusted R2 of the developed regression models averaged about 70%, and the standard error of estimation of the validity test results was 11 bpm, which is similar to that of the developed model.
These results suggest that HRT is a useful parameter for predicting HRLT and HRVT.
本研究的目的是建立一个回归模型，使用心率阈值（HRT）来估计乳酸阈心率（HRLT）和通气阈心率（HRVT），并检验该回归模型的有效性。
我们对220名年龄在20至59岁的正常个体（男性112名，女性108名）进行了跑步机分级运动试验。测量了所有受试者的HRT、HRLT和HRVT。通过随机化（7:3）和伯努利试验，利用70%的数据（男性79名，女性76名）建立了一个使用HRT来估计HRLT和HRVT的回归模型。同时也检验了用剩余30%的数据（男性33名，女性32名）建立的回归模型的有效性。
基于回归系数，我们发现自变量HRT在所有回归模型中都是一个显著变量。所建立回归模型的调整R2平均约为70%，有效性检验结果的估计标准误差为11次/分钟，与所建立模型的结果相似。
这些结果表明，HRT是预测HRLT和HRVT的一个有用参数。
