Biomarker

HRV (Heart Rate Variability)

The most powerful non-invasive biomarker of autonomic nervous system status

Definition

HRV (Heart Rate Variability) is the temporal variation between consecutive heartbeats (R-R intervals on ECG). It directly reflects the balance of the autonomic nervous system: parasympathetic (vagal) predominance produces high HRV (healthy, recovered); sympathetic predominance (stress, fatigue, illness) produces low HRV. It is the most powerful non-invasive biomarker of overall physiological status — predicts athletic performance, recovery, cardiovascular health, risk of sudden cardiac events, and response to stress.

Detailed explanation

Main metrics measured by overnight continuous monitoring (wearables like Whoop, Oura, Apple Watch, Garmin):

RMSSD (Root Mean Square of Successive Differences): the most-used pure vagal metric. Typical values: 30-60 ms in young adults, progressive decline with age. SDNN: total variability over 24 h. Value <70 ms in people over 50 predicts higher cardiovascular mortality. LF/HF ratio: sympathetic/parasympathetic balance. pNN50: percentage of consecutive intervals differing >50 ms.

Factors that increase HRV: restorative sleep, regular Zone 2 aerobic exercise, mindfulness meditation, conscious slow breathing (4-6 bpm), adequate hydration, nature exposure, social connection, controlled fasting.

Factors that lower HRV: chronic stress, insufficient sleep, alcohol (acute and chronic), late heavy meals, dehydration, overtraining, infection, chronic inflammation, depression.

Prognostic value: low HRV predicts major cardiovascular events, all-cause mortality, and cognitive decline. Vagus nerve stimulation (transcutaneous or invasive) raises HRV and is being investigated for multiple inflammatory and mental health pathologies.

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LongevityMap content is for informational and educational purposes only. It does not constitute personalised medical advice. Always consult a healthcare professional before starting any treatment. Our team · Methodology