【Research Review】Clinical Applications of Heart Rate Variability (HRV) in Autonomic Nervous System Monitoring and Overtraining Prevention: A Study on Elite Athletes’ Physiological Characteristics (Article 1405)

Reference Journal Source: European Journal of Applied Physiology • International Scientific Research Findings Review Series

This article explores the clinical applications of Heart Rate Variability (HRV) in autonomic nervous system monitoring and overtraining prevention.

Physiological Significance Reflected by HRV

HRV measures the degree of variation in the time intervals between consecutive heartbeats, regulated by the dynamic balance between the sympathetic and parasympathetic branches of the autonomic nervous system. Generally, the higher the parasympathetic activity (indicating the body is in a recovery, relaxed state), the higher the HRV values; long-term accumulation of high-intensity training stress, insufficient sleep, or illness and infection are often accompanied by decreased HRV, reflecting relatively heightened sympathetic activity and a body in a “fight-or-flight” rather than “rest-and-repair” state.

Two Response Patterns of HRV and Overtraining Syndrome (OTS)

Overtraining is not a single linear response; two common patterns are observed:

• Sympathetic-type overtraining: Elevated resting heart rate, persistently decreased HRV, with athletes subjectively experiencing fatigue, irritability, and poor sleep quality
• Parasympathetic-type overtraining: Commonly seen in the later stages of chronic fatigue accumulation, where resting heart rate is paradoxically low and HRV values show abnormally stable fluctuations (lacking normal daily variability). This pattern is more difficult to assess by simply looking at “high or low HRV” and requires observation of multi-day trend lines

21-Day Training Load and HRV Changes Comparison (Illustrative)

Core Research Conclusions and Practical Recommendations

• Establish individual baseline values: Absolute HRV values vary from person to person; the key lies in the trend relative to one’s own 7-14 day average, rather than comparison with others
• Consistency in measurement timing: It is recommended to measure consistently upon waking, in a supine resting state, avoiding confounding factors such as caffeine, food intake, and measurement posture that could introduce data noise
• Prioritize trends over single-day readings: A single-day HRV decrease does not necessarily indicate overtraining; readings significantly below baseline for 3 consecutive days or more constitute a more reliable warning sign
• Combine with subjective scales: HRV should be interpreted alongside Rating of Perceived Exertion (RPE) and sleep quality records; relying on a single data source can easily lead to misjudgment

Common Research Q&A (FAQ)

Q: Is it normal for HRV to fluctuate daily?

A: Yes. HRV is inherently influenced by multiple factors such as breathing, sleep, stress, and alcohol consumption. Daily fluctuations are a normal physiological phenomenon; the key is to observe the multi-day moving average trend rather than the single-day absolute value.

Q: Should training be completely stopped when HRV decreases?

A: Not necessarily. You can first reduce the day’s training intensity or switch to active recovery (low-intensity aerobic exercise), then observe the HRV trend over the next 2-3 days before deciding whether a longer rest period is needed.

References and Academic Citations

1. European Journal of Applied Physiology — Research related to heart rate variability and training load monitoring.
2. Sports Medicine — Literature on autonomic nervous system response patterns in overtraining syndrome.

Further Reading

• 【Research Review】Clinical Applications of Heart Rate Variability (HRV) in Autonomic Nervous System Monitoring and Overtraining Prevention: A Study on Elite Athletes’ Physiological Characteristics (Article 1078)
• 【Research Review】Clinical Applications of Heart Rate Variability (HRV) in Autonomic Nervous System Monitoring and Overtraining Prevention: A Study on Elite Athletes’ Physiological Characteristics (Article 436)
• 【Research Review】Clinical Applications of Heart Rate Variability (HRV) in Autonomic Nervous System Monitoring and Overtraining Prevention: A Study on Elite Athletes’ Physiological Characteristics (Article 388)
• 【Research Review】Clinical Applications of Heart Rate Variability (HRV) in Autonomic Nervous System Monitoring and Overtraining Prevention: A Study on Elite Athletes’ Physiological Characteristics (Article 217)