Evaluating Training Adaptation With Heart-Rate Measures: A Methodological Comparison

The aim of this study was to compare 2 different methodological assessments when analyzing the relationship between performance and heart-rate (HR)-derived indices (resting HR [RHR] and HR variability [HRV]) to evaluate positive adaptation to training. The relative change in estimated maximum aerobic speed (MAS) and 10-km-running performance was correlated to the relative change in RHR and the natural logarithm of the square root of the mean sum of the squared differences between R-R intervals on an isolated day (RHRday; LnrMSSD(day)) or when averaged over 1 wk (RHRweek, Ln rMSSD(weak)) in 10 runners who responded to a 9-wk training intervention. Moderate and small correlations existed between changes in MAS and 10-km-running performance and RHRday (r=.35, 90%CI [-.35, .76] and r=-.21 [-.68, .39]), compared with large and very large correlations for RHRweek (r=-.62 [-.87, -.11] and r=.73 [.30, .91]). While a trivial correlation was observed for MAS vs Ln rMSSD(day)(r=-.06 [-.59, .51]), a very large correlation existed with Ln rMSSD(week) (r=.72 [,28, .91]). Similarly, changes in 10-km-running performance revealed a small. correlation with Ln rMSSD(day) (r=-.17 [-.66, .42]), vs a very large correlation for Ln rMSSD(week) (r=-.76 [-.92, -.36]). In conclusion, the averaging of RHR and HRV values over a 1-wk period appears to be a superior method for evaluating positive adaption to training compared with assessing its value on a single isolated day.