Frontiers in Physiology 2025 NEW Evidence: Works

Pre-Sleep HRV Predicts Chronic Insomnia in Athletes with 96% Accuracy

Summary

First study to demonstrate that HRV measured before sleep can predict chronic insomnia in elite athletes, achieving 96% prediction accuracy using a logistic regression model.

Methods

Binary logistic regression model on pre-sleep HRV data from national-level male athletes

Key Findings

  • 96% accuracy in predicting chronic insomnia from pre-sleep HRV
  • Pre-sleep HRV reflects autonomic state affecting sleep onset
  • Athletes with insomnia show distinct pre-sleep HRV patterns
  • Model more accurate than self-reported sleep quality measures

Limitations

Male athletes only, specific to elite populations

What This Means for You

If you struggle with sleep, checking your HRV before bed might reveal elevated sympathetic activation. Calming techniques like breathing exercises before sleep could help shift your autonomic state for better sleep quality.

Source

Read the original paper in Frontiers in Physiology ↗

Added to HRV Zone: 2026-01-21

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