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The Between-Day Reliability of Correlation Properties of Heart Rate Variability During Running

Bas Van Hooren, Bart C. Bongers, Bruce Rogers, Thomas Gronwald

2023Applied Psychophysiology and Biofeedback15 citationsDOIOpen Access PDF

Abstract

Abstract The short-term scaling exponent of detrended fluctuation analysis (DFA-a1) of heart rate variability may be a helpful tool to assess autonomic balance as a prelude to daily, individualized training. For this concept to be useful, between-session reliability should be acceptable. The aim of this study was to explore the reliability of DFA-a1 during a low-intensity exercise session in both a non-fatigued and a fatigued condition in healthy males and females. Ten participants completed two sessions with each containing an exhaustive treadmill ramp protocol. Before and after the fatiguing ramp, a standardized submaximal low-intensity exercise bout was performed during which DFA-a1, heart rate, and oxygen consumption (VO 2 ) were measured. We compared between-session reliability of all metrics prior to the ramps (i.e., non-fatigued status) and after the first ramp (i.e., fatigued status). Intraclass correlation coefficients (ICC) with 95% confidence intervals (CI), the standard error of measurement, and the smallest worthwhile change (SWC) were determined. The ICC and SWC pre fatiguing ramp were 0.85 (95% CI 0.39–0.96) and 5.5% for DFA-a1, 0.85 (0.38–0.96) and 2.2% for heart rate, and 0.84 (0.31–0.96) and 3.1% for VO 2 . Post fatiguing ramp, the ICC and SWC were 0.55 (0.00–0.89) and 7.9% for DFA-a1, 0.91 (0.62–0.98) and 1.6% for heart rate, and 0.80 (0.17–0.95) and 3.0% for VO 2 . DFA-a1 shows generally acceptable to good between-session reliability with a SWC of 0.06 and 0.07 (5.5–7.9%) during non-fatigued and fatigued conditions. This suggests that this metric may be useful to inform on training readiness.

Topics & Concepts

Detrended fluctuation analysisHeart rateIntraclass correlationHeart rate variabilityReliability (semiconductor)TreadmillPhysical therapyMedicineStatisticsPsychologyMathematicsBlood pressureInternal medicineReproducibilityScalingPower (physics)GeometryQuantum mechanicsPhysicsHeart Rate Variability and Autonomic ControlCardiovascular and exercise physiologySports Performance and Training
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