Sleepgenic is the dedicated sleep research arm of TrailGenic — not a supplement, not a clinic.  ·  sleepgenic.ai
Sleepgenic Reports · June 27 – July 3, 2026

Week 10 — June 27 – July 3, 2026

Week 10 produced the clearest duration–recovery divergence in the dataset. Six of seven nights were recorded during the Mount Elbert and Pikes Peak segment of the Triple Summit trip. Total sleep averaged 7.52 hours and Duration Score 81.2, yet Overall Score fell to 53.5, Recovery Score to 37.0, resting heart rate rose to 72.7 bpm, Sleep Stress to 34.4, and SpO2 fell to 92.8%. Sleepgenic classifies Week 10 as high-altitude accumulated strain: more sleep time did not equal restored physiology.

Week 10 is the clearest example in the active dataset of why sleep duration cannot be treated as a synonym for recovery. Six of seven nights were recorded; June 29 is unobserved.

Total sleep averaged 7.52 hours, the highest weekly average to this point, and Duration Score averaged 81.2. Yet Overall Score fell to 53.5 and Recovery Score to 37.0. Resting heart rate rose to 72.7 bpm, Sleep Stress to 34.4, HRV fell to 29.5 ms, and SpO2 averaged 92.8%. The body spent more time asleep while showing substantially weaker recovery physiology.

The post-Elbert night on June 28 recorded 9.28 hours of sleep and a Duration Score of 100, but Overall Score was 49, Recovery Score 19, resting heart rate 75 bpm, and Sleep Stress 42.2. The July 2 record after Pikes Peak was even more explicit: 10.73 hours of sleep and Duration Score 100, but Overall Score 42, Recovery Score 17, resting heart rate 77 bpm, and Sleep Stress 42.7.

This pattern is not “bad sleep despite sleeping longer” in a generic sense. It is a layer split. The score layer rewarded duration. The physiology layer showed unresolved strain. The context layer contained consecutive high-altitude summits, wind exposure, travel, changing sleep environments, and accumulated load.

Sleepgenic classifies Week 10 as high-altitude accumulated strain with duration–recovery divergence. Long sleep appears to have represented recovery demand rather than completed recovery. The data cannot assign causality to altitude, training load, travel, or any single factor, but the combined context and synchronized physiological weakening make the accumulated-load interpretation the strongest supported reading.

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