Background The personalization of training is one of the main pillars of performance science, but multidomain reserve modelling based on aerobic, neuromuscular, and autonomic systems remains under-researched. Unlike fixed-load models, the approach uses real-time heart rate variability (HRV) and performance load ratio (PLR) feedback to tune training and recovery, offering a new, evidence-based approach to maintaining the adaptive potential of speed skating. This study tested whether an autoregulated macro–microcycle using readiness signals improves physiological reserve versus volume-matched conventional programming. Methods Eighteen intercollegiate athletes underwent 24 weeks of closely supervised training with the same volume but different load-modulation guidelines. The intervention arm maintained daily intensity using HRV-based readiness thresholds and session-RPE feedback, whereas the control group followed preset linear periodization. Outcomes included maximal oxygen uptake (VO₂max), lactate threshold (LT), Wingate anaerobic peak power, countermovement jump (CMJ), heart rate recovery at 1 min (HRR-1), root mean square of successive differences (RMSSD), the low-frequency to high-frequency ratio (LF/HF), and a composite Performance Reserve Index (PRI). Linear mixed model analysis, subgroup contrast, correlation matrices, and cluster segmentation analyses were done. Results Compared with conventional programming, larger gains were observed for VO₂max (+ 3.9 mL/kg/min, p = 0.010, d = 0.92), lactate threshold (+ 0.57 mmol/L, p = 0.003, d = 1.04), Wingate peak power (+ 67 W, p = 0.005, d = 1.00), CMJ height (+ 4.2 cm, p = 0.021, d = 0.83), HRR-1 (+ 8.3 bpm, p = 0.009, d = 0.93), RMSSD (to 47.6 ms, p = 0.007, d = 0.96), and PRI (0.62→0.85, p < 0.001, d = 2.41). The coordinated aerobic, neuromuscular, and autonomic pattern indicates tighter stimulus–recovery coupling under autoregulation. Conclusion The autoregulated macro-microcycle training resulted in combined advantages in aerobic capacity, neuromuscular power, and autonomic balance, demonstrating the effectiveness of individualized feedback control as the next-generation paradigm for maximizing long-term adaptation in competitive speed skating. Coaches can apply simple HRV thresholds and sRPE bounds to cap or extend sessions and use PLR bands to schedule deloads and Zone-2 extensions. Trial registration The study was retrospectively registered with the UK ISRCTN registry (ISRCTN16362421) on 04 September 2025.

Autoregulated macro–microcycle training enhances physiological reserve and adaptability in competitive speed skaters

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2025年12月28日

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Peng Di,
Lian Hongye,
Shi Donglin

摘要

Background

The personalization of training is one of the main pillars of performance science, but multidomain reserve modelling based on aerobic, neuromuscular, and autonomic systems remains under-researched. Unlike fixed-load models, the approach uses real-time heart rate variability (HRV) and performance load ratio (PLR) feedback to tune training and recovery, offering a new, evidence-based approach to maintaining the adaptive potential of speed skating. This study tested whether an autoregulated macro–microcycle using readiness signals improves physiological reserve versus volume-matched conventional programming.

Methods

Eighteen intercollegiate athletes underwent 24 weeks of closely supervised training with the same volume but different load-modulation guidelines. The intervention arm maintained daily intensity using HRV-based readiness thresholds and session-RPE feedback, whereas the control group followed preset linear periodization. Outcomes included maximal oxygen uptake (VO₂max), lactate threshold (LT), Wingate anaerobic peak power, countermovement jump (CMJ), heart rate recovery at 1 min (HRR-1), root mean square of successive differences (RMSSD), the low-frequency to high-frequency ratio (LF/HF), and a composite Performance Reserve Index (PRI). Linear mixed model analysis, subgroup contrast, correlation matrices, and cluster segmentation analyses were done.

Results

Compared with conventional programming, larger gains were observed for VO₂max (+ 3.9 mL/kg/min, p = 0.010, d = 0.92), lactate threshold (+ 0.57 mmol/L, p = 0.003, d = 1.04), Wingate peak power (+ 67 W, p = 0.005, d = 1.00), CMJ height (+ 4.2 cm, p = 0.021, d = 0.83), HRR-1 (+ 8.3 bpm, p = 0.009, d = 0.93), RMSSD (to 47.6 ms, p = 0.007, d = 0.96), and PRI (0.62→0.85, p < 0.001, d = 2.41). The coordinated aerobic, neuromuscular, and autonomic pattern indicates tighter stimulus–recovery coupling under autoregulation.

Conclusion

The autoregulated macro-microcycle training resulted in combined advantages in aerobic capacity, neuromuscular power, and autonomic balance, demonstrating the effectiveness of individualized feedback control as the next-generation paradigm for maximizing long-term adaptation in competitive speed skating. Coaches can apply simple HRV thresholds and sRPE bounds to cap or extend sessions and use PLR bands to schedule deloads and Zone-2 extensions.

Trial registration

The study was retrospectively registered with the UK ISRCTN registry (ISRCTN16362421) on 04 September 2025.