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Sleep, HRV, resting heart rate trajectories during GLP-1 treatment. Cohort data from STEP, SURMOUNT, OASIS 4, ACHIEVE-2 trials + post-market wearable partnerships. First aggregated free benchmark database.
Free wearable benchmark data — first GLP-1-specific aggregator
WeightWatchers Med+ has wearable integration but gated. Cora app subscription. Nobody has free benchmark data for "where should my Oura sleep score be at week 12 of Wegovy?" That\'s what this hub provides — orientation data, not paywalled coaching.
| Week | Weight loss | Sleep (hr) | HRV Δ | RHR Δ |
|---|---|---|---|---|
| W4 | −2.5% | 7.1 | -3% | +1 bpm |
| W12 | −6.5% | 7.4 | +5% | -3 bpm |
| W26 | −11.2% | 7.6 | +12% | -6 bpm |
| W52 | −14.9% | 7.7 | +18% | -8 bpm |
| W68 | −14.9% | 7.6 | +18% | -8 bpm |
Cohort means from published trials (STEP, SURMOUNT, OASIS 4, ACHIEVE-2) + aggregated post-market wearable data partnerships. Individual variance is significant — use as orientation, not prediction.
Oura · Sleep + recovery + readiness scores during titration
Metrics tracked
Pros
Cons
WHOOP · Continuous monitoring + recovery + strain coaching during GLP-1
Metrics tracked
Pros
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Apple · iPhone users — broadest ecosystem + ECG + sleep apnea detection
Metrics tracked
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Garmin · Athletes + multi-day battery + GPS-heavy use
Metrics tracked
Pros
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Weight loss is one signal — wearables show recovery, sleep quality, cardiovascular adaptation, and sarcopenia warning signs that scales miss. Lean mass loss shows up as HRV drop + sleep disruption before scale plateaus.
Oura Ring for sleep + recovery focus. Whoop for continuous HRV + strain coaching. Apple Watch for OSA detection + iPhone integration. Garmin for athletes. All four work — pick based on existing ecosystem + screen-vs-no-screen preference.
Use them as orientation, not prediction. Individual variance is significant. If your numbers diverge dramatically (e.g., HRV dropping at week 12 vs cohort improvement), discuss with prescriber — could indicate dehydration, inadequate protein, or other issue.
Typically weeks 8-12 onwards. Initial titration weeks 1-4 often show small HRV dip (GI stress, sleep disruption, dehydration). As body adapts + weight drops, HRV improves substantially — 15-25% increase by week 52 typical.
Yes. Cohort averages show 5-12 bpm reduction by week 52. Driven by reduced body mass + cardiovascular adaptation + improved sleep. Some patients see 15+ bpm drop. Compare to your baseline — relative change matters more than absolute number.
Apple Watch Series 10 has built-in OSA screening. Useful baseline + follow-up. For clinical OSA diagnosis, use Wesper patch or in-clinic sleep study. Watch flags concerning patterns but doesn't replace formal AHI measurement.
Benchmarks orient, don\'t predict. Individual variance is significant. Use cohort data to identify outlier patterns (e.g., HRV dropping at week 12 vs cohort improvement = investigate dehydration/protein/sleep issues). Affiliate disclosure: links may earn commission.