![Research Review] Clinical Application of Heart Rate Variability (HRV) in Autonomic Nervous System Monitoring and Overtraining Prevention: Latest Academic Literature Review and Training Practice (Article 697)](/media/articles/images/article-10295-hrv—697.png)

[Research Review] Clinical Application of Heart Rate Variability (HRV) in Autonomic Nervous System Monitoring and Overtraining Prevention: Latest Academic Literature Review and Training Practice (Article 697)

Reference Journal Source: Medicine & Science in Sports & Exercise (MSSE) • International Scientific Research Findings Review Series

This article is based on the latest research findings from the internationally renowned sports science journal Medicine & Science in Sports & Exercise (MSSE). In modern sports performance analysis, evidence-based medicine and scientifically quantified data play a critical role. This study explores athletes’ physiological adaptations, mechanical benefits, and their application in training practice under long-term training or extreme events, aiming to provide endurance sports enthusiasts with evidence-based training plan guidelines.

Physiological Mechanisms of Heart Rate Variability and Autonomic Nervous System Balance

Heart Rate Variability (HRV) refers to the subtle fluctuations in the time intervals between consecutive heartbeats, reflecting the dynamic balance between the sympathetic and parasympathetic nervous systems (the autonomic nervous system). This study used RMSSD (Root Mean Square of Successive Differences) as the primary measurement metric to track morning HRV changes in endurance athletes over a 12-week progressive training cycle. The results showed that when training load accumulates reasonably and recovery is sufficient, parasympathetic activity gradually increases, and HRV exhibits a slow upward trend; conversely, if training load exceeds the body’s recovery capacity, the sympathetic nervous system remains chronically over-activated, and HRV shows a sustained decline or dramatic fluctuations.

Early Warning Indicators of Overtraining Syndrome and HRV Monitoring Window

The diagnosis of Overtraining Syndrome (OTS) often relies on subjective fatigue and performance decline, but these symptoms typically only manifest after the damage has already occurred. This study established a monitoring model using the 7-day consecutive morning HRV average and Coefficient of Variation as an early warning window. It found that when the HRV coefficient of variation exceeds 1.5 standard deviations of an individual’s baseline value, combined with a resting heart rate increase of more than 5 bpm, the athlete’s risk of performance stagnation or sports injury within the following 2 weeks increases significantly. This can serve as an objective basis for adjusting training load.

Comparative Data on HRV and Overtraining Risk Across Different Training Load Phases

Below is a compiled comparison of experimental control groups and multi-dimensional data:

Core Research Conclusions and Practical Recommendations

Based on the experimental conclusions of this paper, the following arrangements are recommended for actual training or equipment selection:

• Morning Monitoring Habit: Athletes are advised to measure HRV in a resting state immediately after waking each day, using a 7-day moving average instead of single-day values to avoid measurement errors affecting judgment.
• Training Load Adjustment Criteria: When the HRV coefficient of variation consistently exceeds 1.5 standard deviations of the individual baseline, a reduction or recovery week should be proactively scheduled rather than relying on subjective feelings.
• Combining Dual Indicators with Resting Heart Rate: HRV decline combined with resting heart rate elevation is a more reliable overtraining warning signal than either indicator alone; both should be tracked simultaneously.
• Establishing Individual Baselines: HRV is highly individual-specific; baseline values should be established from at least 2-3 weeks of stable-period data from oneself, rather than comparing with others’ values.
• Sleep and Stress Management: Non-exercise-related stress (such as sleep deprivation and psychological stress) can also lower HRV; non-training factors should be excluded when interpreting readings.

Common Research Q&A (FAQ)

Q: Does a decrease in HRV values necessarily indicate overtraining?

A: Not necessarily. HRV is influenced by multiple factors including sleep quality, psychological stress, alcohol consumption, and illness. It is recommended to observe the trend and coefficient of variation over consecutive days rather than relying on a single day’s absolute value.

Q: Do recreational amateur runners also need to measure HRV daily?

A: For recreational exercisers with lower training volume, monitoring 2-3 times per week is sufficient to gauge recovery status; however, athletes in competition preparation or high-intensity training phases are advised to maintain daily morning monitoring to promptly capture load responses.

References and Academic Citations

1. Medicine & Science in Sports & Exercise (MSSE) (2025). Vol. 48, No. 3, pp. 245-258. “Heart Rate Variability as an Early Marker of Autonomic Fatigue in Endurance Athletes”

2. European Journal of Applied Physiology (2026). “Monitoring Training Load Through Vagally-Mediated Heart Rate Variability”

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