Kim Dong-Hwan, Cho Yeong-Hyun, Seo Tae-Beom
Department of Physical Education, College of Education, Gyeongsang National University, Jinju, Korea.
Department of Kinesiology, College of Natural Science, Jeju National University, Jeju, Korea.
J Exerc Rehabil. 2022 Dec 27;18(6):389-394. doi: 10.12965/jer.2244400.200. eCollection 2022 Dec.
The purpose of this study is to investigate the relationship between physical efficiency index (PEI) calculated by the Harvard step test and heart rate variation (HRV), and to identify parameters of HRV that can predict PEI in college students. Sixteen college students were participated in this study and they were randomly divided into two groups; higher PEI group (HPEI, n=6) and lower PEI group (LPEI, n=10). To investigate the relationship between PEI and HRV, we were measured HRV and Harvard step test. HRV test was the resting, immediately, 15 min and 30 min after the Harvard step test using electrocardiography device polyG-I. Relationship between PEI and HRV were determined Pearson correlation coefficient, and multiple regression analysis was performed for examining HRV parameters to predict PEI. As shown in the result, not only PEI was negatively correlated with root mean squared differences between adjacent normal RR intervals (RMSSD), but had a positive correlation with low-frequency/high-frequency, but also normalized low frequency (normLF), the ratio of LF, and RMSSD, the change in RR interval showed a significant difference at each time point of measurement according to PEI levels. But, there were no significant differences among the HRV variables except normLF and RMS-SD. Our findings suggest a critical information that PEI calculated by the Harvard step test can be used as an index to predict the autonomic nerve function, and high PEI may have a positive effect on changes in autonomic nerve activity during recovery after exercise intervention.
本研究旨在探讨通过哈佛台阶试验计算的身体效率指数（PEI）与心率变异性（HRV）之间的关系，并确定能够预测大学生PEI的HRV参数。16名大学生参与了本研究，他们被随机分为两组：高PEI组（HPEI，n = 6）和低PEI组（LPEI，n = 10）。为了研究PEI与HRV之间的关系，我们测量了HRV和哈佛台阶试验。HRV测试是在使用多导心电图仪polyG-I进行哈佛台阶试验的休息时、试验后立即、15分钟和30分钟时进行的。通过Pearson相关系数确定PEI与HRV之间的关系，并进行多元回归分析以检验预测PEI的HRV参数。结果表明，PEI不仅与相邻正常RR间期的均方根差值（RMSSD）呈负相关，而且与低频/高频呈正相关，并且归一化低频（normLF）、LF比值以及RR间期变化的RMSSD根据PEI水平在每个测量时间点均显示出显著差异。但是，除了normLF和RMS-SD外，HRV变量之间没有显著差异。我们的研究结果表明了一个关键信息，即通过哈佛台阶试验计算的PEI可作为预测自主神经功能的指标，并且高PEI可能对运动干预后恢复期间自主神经活动的变化具有积极影响。
