trend-based-hrv-rhr-tracking
Sims explains that when you start tracking HRV and resting heart rate with notes, you create a feedback loop. Although more data is better initially, the biggest insight comes from comparing across weeks. She emphasizes that this is an objective method to validate subjective feel—when you see your HRV dip after specific stressors, you can safely skip a hard session without guilt. Over 3-4 months, you'll know your personal patterns. This is a direct alternative to blood hormone monitoring, which she dismisses as too variable in perimenopause.
HRV reflects autonomic nervous system balance and recovery state. In perimenopause, the added physiological stress of hormonal chaos causes weekly fluctuations, so a single value is noisy. Trend data filters out this noise, revealing true recovery capacity when matched with known life stressors. The body’s response to a bad night’s sleep or travel becomes predictable, enabling proactive planning.
So if you start tracking and you put notes and say what's happening, then it gives you really good robust objective data to say, 'Oh yeah, I see what's happening. And I see when I have a really bad night's sleep, the next day my heart rate variability and recovery score is like 20.' So, I know that if I have a bad night's sleep or I'm going to have a late night for work, then I better not plan on doing a hard session the next day.

